diff --git a/24-07/caffe-aarch64.md b/24-07/caffe-aarch64.md index c323da6..68e7ca8 100644 --- a/24-07/caffe-aarch64.md +++ b/24-07/caffe-aarch64.md @@ -786,7 +786,7 @@ caffe time -model my_models/3DMM_CNN/deploy_network.prototxt ![1720064717585](image/caffe-aarch64/1720064717585.png) -#### cascadedfcn/step1 +#### cascadedfcn_step1 自带[deploy.prototxt](https://github.com/IBBM/Cascaded-FCN/tree/master/models/cascadedfcn/step1)文件。 @@ -796,7 +796,7 @@ caffe time -model my_models/Cascaded-FCN/models/cascadedfcn/step1/step1_deploy.p ![1720064596125](image/caffe-aarch64/1720064596125.png) -#### cascadedfcn/step2 +#### cascadedfcn_step2 自带[deploy.prototxt](https://github.com/IBBM/Cascaded-FCN/tree/master/models/cascadedfcn/step2)文件。 @@ -851,3 +851,9 @@ caffe time -model my_models/Using-Ranking-CNN-for-Age-Estimation/basic_16to66/de ``` ![1720065166608](image/caffe-aarch64/1720065166608.png) + +## 4-附件 + +50个models的deploy文件 + +caffe在aarch64（鲲鹏920）上的自动化构建脚本 diff --git a/24-07/caffe/deploy/04-VGG_CNN_S.prototxt b/24-07/caffe/deploy/04-VGG_CNN_S.prototxt new file mode 100644 index 0000000..58bfdb7 --- /dev/null +++ b/24-07/caffe/deploy/04-VGG_CNN_S.prototxt @@ -0,0 +1,198 @@ +name: "VGG_CNN_S" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 3 + } +} +layers { + bottom: "pool1" + top: "conv2" + name: "conv2" + type: CONVOLUTION + convolution_param { + num_output: 256 + kernel_size: 5 + } +} +layers { + bottom: "conv2" + top: "conv2" + name: "relu2" + type: RELU +} +layers { + bottom: "conv2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3" + name: "conv3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3" + top: "conv3" + name: "relu3" + type: RELU +} +layers { + bottom: "conv3" + top: "conv4" + name: "conv4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4" + top: "conv4" + name: "relu4" + type: RELU +} +layers { + bottom: "conv4" + top: "conv5" + name: "conv5" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5" + top: "conv5" + name: "relu5" + type: RELU +} +layers { + bottom: "conv5" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 3 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/05-VGG_CNN_M.prototxt b/24-07/caffe/deploy/05-VGG_CNN_M.prototxt new file mode 100644 index 0000000..ce99099 --- /dev/null +++ b/24-07/caffe/deploy/05-VGG_CNN_M.prototxt @@ -0,0 +1,212 @@ +name: "VGG_CNN_M" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2" + name: "conv2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 5 + stride: 2 + } +} +layers { + bottom: "conv2" + top: "conv2" + name: "relu2" + type: RELU +} +layers { + bottom: "conv2" + top: "norm2" + name: "norm2" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3" + name: "conv3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3" + top: "conv3" + name: "relu3" + type: RELU +} +layers { + bottom: "conv3" + top: "conv4" + name: "conv4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4" + top: "conv4" + name: "relu4" + type: RELU +} +layers { + bottom: "conv4" + top: "conv5" + name: "conv5" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5" + top: "conv5" + name: "relu5" + type: RELU +} +layers { + bottom: "conv5" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/06-VGG_CNN_M_2048.prototxt b/24-07/caffe/deploy/06-VGG_CNN_M_2048.prototxt new file mode 100644 index 0000000..20578a6 --- /dev/null +++ b/24-07/caffe/deploy/06-VGG_CNN_M_2048.prototxt @@ -0,0 +1,212 @@ +name: "VGG_CNN_M_2048" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2" + name: "conv2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 5 + stride: 2 + } +} +layers { + bottom: "conv2" + top: "conv2" + name: "relu2" + type: RELU +} +layers { + bottom: "conv2" + top: "norm2" + name: "norm2" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3" + name: "conv3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3" + top: "conv3" + name: "relu3" + type: RELU +} +layers { + bottom: "conv3" + top: "conv4" + name: "conv4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4" + top: "conv4" + name: "relu4" + type: RELU +} +layers { + bottom: "conv4" + top: "conv5" + name: "conv5" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5" + top: "conv5" + name: "relu5" + type: RELU +} +layers { + bottom: "conv5" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 2048 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/07-VGG_CNN_M_1024.prototxt b/24-07/caffe/deploy/07-VGG_CNN_M_1024.prototxt new file mode 100644 index 0000000..86e060a --- /dev/null +++ b/24-07/caffe/deploy/07-VGG_CNN_M_1024.prototxt @@ -0,0 +1,212 @@ +name: "VGG_CNN_M_1024" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2" + name: "conv2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 5 + stride: 2 + } +} +layers { + bottom: "conv2" + top: "conv2" + name: "relu2" + type: RELU +} +layers { + bottom: "conv2" + top: "norm2" + name: "norm2" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3" + name: "conv3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3" + top: "conv3" + name: "relu3" + type: RELU +} +layers { + bottom: "conv3" + top: "conv4" + name: "conv4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4" + top: "conv4" + name: "relu4" + type: RELU +} +layers { + bottom: "conv4" + top: "conv5" + name: "conv5" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5" + top: "conv5" + name: "relu5" + type: RELU +} +layers { + bottom: "conv5" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 1024 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/08-VGG_CNN_M_128.prototxt b/24-07/caffe/deploy/08-VGG_CNN_M_128.prototxt new file mode 100644 index 0000000..a1f5018 --- /dev/null +++ b/24-07/caffe/deploy/08-VGG_CNN_M_128.prototxt @@ -0,0 +1,212 @@ +name: "VGG_CNN_M_128" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2" + name: "conv2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 5 + stride: 2 + } +} +layers { + bottom: "conv2" + top: "conv2" + name: "relu2" + type: RELU +} +layers { + bottom: "conv2" + top: "norm2" + name: "norm2" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3" + name: "conv3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3" + top: "conv3" + name: "relu3" + type: RELU +} +layers { + bottom: "conv3" + top: "conv4" + name: "conv4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4" + top: "conv4" + name: "relu4" + type: RELU +} +layers { + bottom: "conv4" + top: "conv5" + name: "conv5" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5" + top: "conv5" + name: "relu5" + type: RELU +} +layers { + bottom: "conv5" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 128 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/09-VGG_CNN_F.prototxt b/24-07/caffe/deploy/09-VGG_CNN_F.prototxt new file mode 100644 index 0000000..b9ceae5 --- /dev/null +++ b/24-07/caffe/deploy/09-VGG_CNN_F.prototxt @@ -0,0 +1,211 @@ +name: "VGG_CNN_F" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + convolution_param { + num_output: 64 + kernel_size: 11 + stride: 4 + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2" + name: "conv2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + } +} +layers { + bottom: "conv2" + top: "conv2" + name: "relu2" + type: RELU +} +layers { + bottom: "conv2" + top: "norm2" + name: "norm2" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + k: 2 + } +} +layers { + bottom: "norm2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3" + name: "conv3" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3" + top: "conv3" + name: "relu3" + type: RELU +} +layers { + bottom: "conv3" + top: "conv4" + name: "conv4" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4" + top: "conv4" + name: "relu4" + type: RELU +} +layers { + bottom: "conv4" + top: "conv5" + name: "conv5" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5" + top: "conv5" + name: "relu5" + type: RELU +} +layers { + bottom: "conv5" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/10-VGG_ILSVRC_16.prototxt b/24-07/caffe/deploy/10-VGG_ILSVRC_16.prototxt new file mode 100644 index 0000000..0067c9b --- /dev/null +++ b/24-07/caffe/deploy/10-VGG_ILSVRC_16.prototxt @@ -0,0 +1,345 @@ +name: "VGG_ILSVRC_16_layers" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1_1" + name: "conv1_1" + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_1" + top: "conv1_1" + name: "relu1_1" + type: RELU +} +layers { + bottom: "conv1_1" + top: "conv1_2" + name: "conv1_2" + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_2" + top: "conv1_2" + name: "relu1_2" + type: RELU +} +layers { + bottom: "conv1_2" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2_1" + name: "conv2_1" + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_1" + top: "conv2_1" + name: "relu2_1" + type: RELU +} +layers { + bottom: "conv2_1" + top: "conv2_2" + name: "conv2_2" + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_2" + top: "conv2_2" + name: "relu2_2" + type: RELU +} +layers { + bottom: "conv2_2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3_1" + name: "conv3_1" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_1" + top: "conv3_1" + name: "relu3_1" + type: RELU +} +layers { + bottom: "conv3_1" + top: "conv3_2" + name: "conv3_2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_2" + top: "conv3_2" + name: "relu3_2" + type: RELU +} +layers { + bottom: "conv3_2" + top: "conv3_3" + name: "conv3_3" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_3" + top: "conv3_3" + name: "relu3_3" + type: RELU +} +layers { + bottom: "conv3_3" + top: "pool3" + name: "pool3" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool3" + top: "conv4_1" + name: "conv4_1" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_1" + top: "conv4_1" + name: "relu4_1" + type: RELU +} +layers { + bottom: "conv4_1" + top: "conv4_2" + name: "conv4_2" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_2" + top: "conv4_2" + name: "relu4_2" + type: RELU +} +layers { + bottom: "conv4_2" + top: "conv4_3" + name: "conv4_3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_3" + top: "conv4_3" + name: "relu4_3" + type: RELU +} +layers { + bottom: "conv4_3" + top: "pool4" + name: "pool4" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool4" + top: "conv5_1" + name: "conv5_1" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_1" + top: "conv5_1" + name: "relu5_1" + type: RELU +} +layers { + bottom: "conv5_1" + top: "conv5_2" + name: "conv5_2" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_2" + top: "conv5_2" + name: "relu5_2" + type: RELU +} +layers { + bottom: "conv5_2" + top: "conv5_3" + name: "conv5_3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_3" + top: "conv5_3" + name: "relu5_3" + type: RELU +} +layers { + bottom: "conv5_3" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/11-VGG_ILSVRC_19.prototxt b/24-07/caffe/deploy/11-VGG_ILSVRC_19.prototxt new file mode 100644 index 0000000..f02f876 --- /dev/null +++ b/24-07/caffe/deploy/11-VGG_ILSVRC_19.prototxt @@ -0,0 +1,396 @@ +name: "VGG_ILSVRC_19_layers" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1_1" + name: "conv1_1" + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_1" + top: "conv1_1" + name: "relu1_1" + type: RELU +} +layers { + bottom: "conv1_1" + top: "conv1_2" + name: "conv1_2" + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_2" + top: "conv1_2" + name: "relu1_2" + type: RELU +} +layers { + bottom: "conv1_2" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2_1" + name: "conv2_1" + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_1" + top: "conv2_1" + name: "relu2_1" + type: RELU +} +layers { + bottom: "conv2_1" + top: "conv2_2" + name: "conv2_2" + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_2" + top: "conv2_2" + name: "relu2_2" + type: RELU +} +layers { + bottom: "conv2_2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3_1" + name: "conv3_1" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_1" + top: "conv3_1" + name: "relu3_1" + type: RELU +} +layers { + bottom: "conv3_1" + top: "conv3_2" + name: "conv3_2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_2" + top: "conv3_2" + name: "relu3_2" + type: RELU +} +layers { + bottom: "conv3_2" + top: "conv3_3" + name: "conv3_3" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_3" + top: "conv3_3" + name: "relu3_3" + type: RELU +} +layers { + bottom: "conv3_3" + top: "conv3_4" + name: "conv3_4" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_4" + top: "conv3_4" + name: "relu3_4" + type: RELU +} +layers { + bottom: "conv3_4" + top: "pool3" + name: "pool3" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool3" + top: "conv4_1" + name: "conv4_1" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_1" + top: "conv4_1" + name: "relu4_1" + type: RELU +} +layers { + bottom: "conv4_1" + top: "conv4_2" + name: "conv4_2" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_2" + top: "conv4_2" + name: "relu4_2" + type: RELU +} +layers { + bottom: "conv4_2" + top: "conv4_3" + name: "conv4_3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_3" + top: "conv4_3" + name: "relu4_3" + type: RELU +} +layers { + bottom: "conv4_3" + top: "conv4_4" + name: "conv4_4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_4" + top: "conv4_4" + name: "relu4_4" + type: RELU +} +layers { + bottom: "conv4_4" + top: "pool4" + name: "pool4" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool4" + top: "conv5_1" + name: "conv5_1" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_1" + top: "conv5_1" + name: "relu5_1" + type: RELU +} +layers { + bottom: "conv5_1" + top: "conv5_2" + name: "conv5_2" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_2" + top: "conv5_2" + name: "relu5_2" + type: RELU +} +layers { + bottom: "conv5_2" + top: "conv5_3" + name: "conv5_3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_3" + top: "conv5_3" + name: "relu5_3" + type: RELU +} +layers { + bottom: "conv5_3" + top: "conv5_4" + name: "conv5_4" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_4" + top: "conv5_4" + name: "relu5_4" + type: RELU +} +layers { + bottom: "conv5_4" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: INNER_PRODUCT + inner_product_param { + num_output: 1000 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/12-places205CNN.prototxt b/24-07/caffe/deploy/12-places205CNN.prototxt new file mode 100644 index 0000000..77a7d03 --- /dev/null +++ b/24-07/caffe/deploy/12-places205CNN.prototxt @@ -0,0 +1,324 @@ +name: "Places205-CNN" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + layer { + name: "conv1" + type: "conv" + num_output: 96 + kernelsize: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "data" + top: "conv1" +} +layers { + layer { + name: "relu1" + type: "relu" + } + bottom: "conv1" + top: "conv1" +} +layers { + layer { + name: "pool1" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv1" + top: "pool1" +} +layers { + layer { + name: "norm1" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool1" + top: "norm1" +} +layers { + layer { + name: "conv2" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 5 + pad: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm1" + top: "conv2" +} +layers { + layer { + name: "relu2" + type: "relu" + } + bottom: "conv2" + top: "conv2" +} +layers { + layer { + name: "pool2" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv2" + top: "pool2" +} +layers { + layer { + name: "norm2" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool2" + top: "norm2" +} +layers { + layer { + name: "conv3" + type: "conv" + num_output: 384 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm2" + top: "conv3" +} +layers { + layer { + name: "relu3" + type: "relu" + } + bottom: "conv3" + top: "conv3" +} +layers { + layer { + name: "conv4" + type: "conv" + num_output: 384 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv3" + top: "conv4" +} +layers { + layer { + name: "relu4" + type: "relu" + } + bottom: "conv4" + top: "conv4" +} +layers { + layer { + name: "conv5" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv4" + top: "conv5" +} +layers { + layer { + name: "relu5" + type: "relu" + } + bottom: "conv5" + top: "conv5" +} +layers { + layer { + name: "pool5" + type: "pool" + kernelsize: 3 + pool: MAX + stride: 2 + } + bottom: "conv5" + top: "pool5" +} +layers { + layer { + name: "fc6" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "pool5" + top: "fc6" +} +layers { + layer { + name: "relu6" + type: "relu" + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "drop6" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "fc7" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "fc6" + top: "fc7" +} +layers { + layer { + name: "relu7" + type: "relu" + } + bottom: "fc7" + top: "fc7" +} +layers { + layer { + name: "drop7" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc7" + top: "fc7" +} +layers { + layer { + name: "fc8" + type: "innerproduct" + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "fc7" + top: "fc8" +} +layers { + layer { + name: "prob" + type: "softmax" + } + bottom: "fc8" + top: "prob" +} diff --git a/24-07/caffe/deploy/13-places205CNN_FC7.prototxt b/24-07/caffe/deploy/13-places205CNN_FC7.prototxt new file mode 100644 index 0000000..d50e249 --- /dev/null +++ b/24-07/caffe/deploy/13-places205CNN_FC7.prototxt @@ -0,0 +1,295 @@ +name: "Places205-CNN" +input: "data" +input_dim: 256 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + layer { + name: "conv1" + type: "conv" + num_output: 96 + kernelsize: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "data" + top: "conv1" +} +layers { + layer { + name: "relu1" + type: "relu" + } + bottom: "conv1" + top: "conv1" +} +layers { + layer { + name: "pool1" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv1" + top: "pool1" +} +layers { + layer { + name: "norm1" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool1" + top: "norm1" +} +layers { + layer { + name: "conv2" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 5 + pad: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm1" + top: "conv2" +} +layers { + layer { + name: "relu2" + type: "relu" + } + bottom: "conv2" + top: "conv2" +} +layers { + layer { + name: "pool2" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv2" + top: "pool2" +} +layers { + layer { + name: "norm2" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool2" + top: "norm2" +} +layers { + layer { + name: "conv3" + type: "conv" + num_output: 384 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm2" + top: "conv3" +} +layers { + layer { + name: "relu3" + type: "relu" + } + bottom: "conv3" + top: "conv3" +} +layers { + layer { + name: "conv4" + type: "conv" + num_output: 384 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv3" + top: "conv4" +} +layers { + layer { + name: "relu4" + type: "relu" + } + bottom: "conv4" + top: "conv4" +} +layers { + layer { + name: "conv5" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv4" + top: "conv5" +} +layers { + layer { + name: "relu5" + type: "relu" + } + bottom: "conv5" + top: "conv5" +} +layers { + layer { + name: "pool5" + type: "pool" + kernelsize: 3 + pool: MAX + stride: 2 + } + bottom: "conv5" + top: "pool5" +} +layers { + layer { + name: "fc6" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "pool5" + top: "fc6" +} +layers { + layer { + name: "relu6" + type: "relu" + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "drop6" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "fc7" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "fc6" + top: "fc7" +} +layers { + layer { + name: "relu7" + type: "relu" + } + bottom: "fc7" + top: "fc7" +} +layers { + layer { + name: "drop7" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc7" + top: "fc7" +} diff --git a/24-07/caffe/deploy/14-hybridCNN.prototxt b/24-07/caffe/deploy/14-hybridCNN.prototxt new file mode 100644 index 0000000..875e0a1 --- /dev/null +++ b/24-07/caffe/deploy/14-hybridCNN.prototxt @@ -0,0 +1,324 @@ +name: "hybridnet" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + layer { + name: "conv1" + type: "conv" + num_output: 96 + kernelsize: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "data" + top: "conv1" +} +layers { + layer { + name: "relu1" + type: "relu" + } + bottom: "conv1" + top: "conv1" +} +layers { + layer { + name: "pool1" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv1" + top: "pool1" +} +layers { + layer { + name: "norm1" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool1" + top: "norm1" +} +layers { + layer { + name: "conv2" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 5 + pad: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm1" + top: "conv2" +} +layers { + layer { + name: "relu2" + type: "relu" + } + bottom: "conv2" + top: "conv2" +} +layers { + layer { + name: "pool2" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv2" + top: "pool2" +} +layers { + layer { + name: "norm2" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool2" + top: "norm2" +} +layers { + layer { + name: "conv3" + type: "conv" + num_output: 384 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm2" + top: "conv3" +} +layers { + layer { + name: "relu3" + type: "relu" + } + bottom: "conv3" + top: "conv3" +} +layers { + layer { + name: "conv4" + type: "conv" + num_output: 384 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv3" + top: "conv4" +} +layers { + layer { + name: "relu4" + type: "relu" + } + bottom: "conv4" + top: "conv4" +} +layers { + layer { + name: "conv5" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv4" + top: "conv5" +} +layers { + layer { + name: "relu5" + type: "relu" + } + bottom: "conv5" + top: "conv5" +} +layers { + layer { + name: "pool5" + type: "pool" + kernelsize: 3 + pool: MAX + stride: 2 + } + bottom: "conv5" + top: "pool5" +} +layers { + layer { + name: "fc6" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "pool5" + top: "fc6" +} +layers { + layer { + name: "relu6" + type: "relu" + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "drop6" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "fc7" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "fc6" + top: "fc7" +} +layers { + layer { + name: "relu7" + type: "relu" + } + bottom: "fc7" + top: "fc7" +} +layers { + layer { + name: "drop7" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc7" + top: "fc7" +} +layers { + layer { + name: "fc8" + type: "innerproduct" + num_output: 1183 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "fc7" + top: "fc8" +} +layers { + layer { + name: "prob" + type: "softmax" + } + bottom: "fc8" + top: "prob" +} diff --git a/24-07/caffe/deploy/15-hybridCNN_FC7.prototxt b/24-07/caffe/deploy/15-hybridCNN_FC7.prototxt new file mode 100644 index 0000000..a39972c --- /dev/null +++ b/24-07/caffe/deploy/15-hybridCNN_FC7.prototxt @@ -0,0 +1,295 @@ +name: "hybridnet" +input: "data" +input_dim: 256 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + layer { + name: "conv1" + type: "conv" + num_output: 96 + kernelsize: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "data" + top: "conv1" +} +layers { + layer { + name: "relu1" + type: "relu" + } + bottom: "conv1" + top: "conv1" +} +layers { + layer { + name: "pool1" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv1" + top: "pool1" +} +layers { + layer { + name: "norm1" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool1" + top: "norm1" +} +layers { + layer { + name: "conv2" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 5 + pad: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm1" + top: "conv2" +} +layers { + layer { + name: "relu2" + type: "relu" + } + bottom: "conv2" + top: "conv2" +} +layers { + layer { + name: "pool2" + type: "pool" + pool: MAX + kernelsize: 3 + stride: 2 + } + bottom: "conv2" + top: "pool2" +} +layers { + layer { + name: "norm2" + type: "lrn" + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } + bottom: "pool2" + top: "norm2" +} +layers { + layer { + name: "conv3" + type: "conv" + num_output: 384 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "norm2" + top: "conv3" +} +layers { + layer { + name: "relu3" + type: "relu" + } + bottom: "conv3" + top: "conv3" +} +layers { + layer { + name: "conv4" + type: "conv" + num_output: 384 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv3" + top: "conv4" +} +layers { + layer { + name: "relu4" + type: "relu" + } + bottom: "conv4" + top: "conv4" +} +layers { + layer { + name: "conv5" + type: "conv" + num_output: 256 + group: 2 + kernelsize: 3 + pad: 1 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "conv4" + top: "conv5" +} +layers { + layer { + name: "relu5" + type: "relu" + } + bottom: "conv5" + top: "conv5" +} +layers { + layer { + name: "pool5" + type: "pool" + kernelsize: 3 + pool: MAX + stride: 2 + } + bottom: "conv5" + top: "pool5" +} +layers { + layer { + name: "fc6" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "pool5" + top: "fc6" +} +layers { + layer { + name: "relu6" + type: "relu" + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "drop6" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc6" + top: "fc6" +} +layers { + layer { + name: "fc7" + type: "innerproduct" + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1. + } + blobs_lr: 1. + blobs_lr: 2. + weight_decay: 1. + weight_decay: 0. + } + bottom: "fc6" + top: "fc7" +} +layers { + layer { + name: "relu7" + type: "relu" + } + bottom: "fc7" + top: "fc7" +} +layers { + layer { + name: "drop7" + type: "dropout" + dropout_ratio: 0.5 + } + bottom: "fc7" + top: "fc7" +} diff --git a/24-07/caffe/deploy/16-googlenet_places205.protxt b/24-07/caffe/deploy/16-googlenet_places205.protxt new file mode 100644 index 0000000..8fb8198 --- /dev/null +++ b/24-07/caffe/deploy/16-googlenet_places205.protxt @@ -0,0 +1,2158 @@ +name: "GoogleNet-Places205" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +force_backward: true +layer { + name: "conv1/7x7_s2" + type: "Convolution" + bottom: "data" + top: "conv1/7x7_s2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv1/relu_7x7" + type: "ReLU" + bottom: "conv1/7x7_s2" + top: "conv1/7x7_s2" +} +layer { + name: "pool1/3x3_s2" + type: "Pooling" + bottom: "conv1/7x7_s2" + top: "pool1/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "pool1/norm1" + type: "LRN" + bottom: "pool1/3x3_s2" + top: "pool1/norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "conv2/3x3_reduce" + type: "Convolution" + bottom: "pool1/norm1" + top: "conv2/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3_reduce" + type: "ReLU" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3_reduce" +} +layer { + name: "conv2/3x3" + type: "Convolution" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3" + type: "ReLU" + bottom: "conv2/3x3" + top: "conv2/3x3" +} +layer { + name: "conv2/norm2" + type: "LRN" + bottom: "conv2/3x3" + top: "conv2/norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "pool2/3x3_s2" + type: "Pooling" + bottom: "conv2/norm2" + top: "pool2/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_3a/1x1" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_1x1" + type: "ReLU" + bottom: "inception_3a/1x1" + top: "inception_3a/1x1" +} +layer { + name: "inception_3a/3x3_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3_reduce" +} +layer { + name: "inception_3a/3x3" + type: "Convolution" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3" + type: "ReLU" + bottom: "inception_3a/3x3" + top: "inception_3a/3x3" +} +layer { + name: "inception_3a/5x5_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5_reduce" +} +layer { + name: "inception_3a/5x5" + type: "Convolution" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5" + type: "ReLU" + bottom: "inception_3a/5x5" + top: "inception_3a/5x5" +} +layer { + name: "inception_3a/pool" + type: "Pooling" + bottom: "pool2/3x3_s2" + top: "inception_3a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3a/pool_proj" + type: "Convolution" + bottom: "inception_3a/pool" + top: "inception_3a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_pool_proj" + type: "ReLU" + bottom: "inception_3a/pool_proj" + top: "inception_3a/pool_proj" +} +layer { + name: "inception_3a/output" + type: "Concat" + bottom: "inception_3a/1x1" + bottom: "inception_3a/3x3" + bottom: "inception_3a/5x5" + bottom: "inception_3a/pool_proj" + top: "inception_3a/output" +} +layer { + name: "inception_3b/1x1" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_1x1" + type: "ReLU" + bottom: "inception_3b/1x1" + top: "inception_3b/1x1" +} +layer { + name: "inception_3b/3x3_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3_reduce" +} +layer { + name: "inception_3b/3x3" + type: "Convolution" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3" + type: "ReLU" + bottom: "inception_3b/3x3" + top: "inception_3b/3x3" +} +layer { + name: "inception_3b/5x5_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5_reduce" +} +layer { + name: "inception_3b/5x5" + type: "Convolution" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5" + type: "ReLU" + bottom: "inception_3b/5x5" + top: "inception_3b/5x5" +} +layer { + name: "inception_3b/pool" + type: "Pooling" + bottom: "inception_3a/output" + top: "inception_3b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3b/pool_proj" + type: "Convolution" + bottom: "inception_3b/pool" + top: "inception_3b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_pool_proj" + type: "ReLU" + bottom: "inception_3b/pool_proj" + top: "inception_3b/pool_proj" +} +layer { + name: "inception_3b/output" + type: "Concat" + bottom: "inception_3b/1x1" + bottom: "inception_3b/3x3" + bottom: "inception_3b/5x5" + bottom: "inception_3b/pool_proj" + top: "inception_3b/output" +} +layer { + name: "pool3/3x3_s2" + type: "Pooling" + bottom: "inception_3b/output" + top: "pool3/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_4a/1x1" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_1x1" + type: "ReLU" + bottom: "inception_4a/1x1" + top: "inception_4a/1x1" +} +layer { + name: "inception_4a/3x3_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3_reduce" +} +layer { + name: "inception_4a/3x3" + type: "Convolution" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3" + type: "ReLU" + bottom: "inception_4a/3x3" + top: "inception_4a/3x3" +} +layer { + name: "inception_4a/5x5_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5_reduce" +} +layer { + name: "inception_4a/5x5" + type: "Convolution" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5" + type: "ReLU" + bottom: "inception_4a/5x5" + top: "inception_4a/5x5" +} +layer { + name: "inception_4a/pool" + type: "Pooling" + bottom: "pool3/3x3_s2" + top: "inception_4a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4a/pool_proj" + type: "Convolution" + bottom: "inception_4a/pool" + top: "inception_4a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_pool_proj" + type: "ReLU" + bottom: "inception_4a/pool_proj" + top: "inception_4a/pool_proj" +} +layer { + name: "inception_4a/output" + type: "Concat" + bottom: "inception_4a/1x1" + bottom: "inception_4a/3x3" + bottom: "inception_4a/5x5" + bottom: "inception_4a/pool_proj" + top: "inception_4a/output" +} +layer { + name: "inception_4b/1x1" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_1x1" + type: "ReLU" + bottom: "inception_4b/1x1" + top: "inception_4b/1x1" +} +layer { + name: "inception_4b/3x3_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3_reduce" +} +layer { + name: "inception_4b/3x3" + type: "Convolution" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3" + type: "ReLU" + bottom: "inception_4b/3x3" + top: "inception_4b/3x3" +} +layer { + name: "inception_4b/5x5_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5_reduce" +} +layer { + name: "inception_4b/5x5" + type: "Convolution" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5" + type: "ReLU" + bottom: "inception_4b/5x5" + top: "inception_4b/5x5" +} +layer { + name: "inception_4b/pool" + type: "Pooling" + bottom: "inception_4a/output" + top: "inception_4b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4b/pool_proj" + type: "Convolution" + bottom: "inception_4b/pool" + top: "inception_4b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_pool_proj" + type: "ReLU" + bottom: "inception_4b/pool_proj" + top: "inception_4b/pool_proj" +} +layer { + name: "inception_4b/output" + type: "Concat" + bottom: "inception_4b/1x1" + bottom: "inception_4b/3x3" + bottom: "inception_4b/5x5" + bottom: "inception_4b/pool_proj" + top: "inception_4b/output" +} +layer { + name: "inception_4c/1x1" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_1x1" + type: "ReLU" + bottom: "inception_4c/1x1" + top: "inception_4c/1x1" +} +layer { + name: "inception_4c/3x3_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3_reduce" +} +layer { + name: "inception_4c/3x3" + type: "Convolution" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3" + type: "ReLU" + bottom: "inception_4c/3x3" + top: "inception_4c/3x3" +} +layer { + name: "inception_4c/5x5_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5_reduce" +} +layer { + name: "inception_4c/5x5" + type: "Convolution" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5" + type: "ReLU" + bottom: "inception_4c/5x5" + top: "inception_4c/5x5" +} +layer { + name: "inception_4c/pool" + type: "Pooling" + bottom: "inception_4b/output" + top: "inception_4c/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4c/pool_proj" + type: "Convolution" + bottom: "inception_4c/pool" + top: "inception_4c/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_pool_proj" + type: "ReLU" + bottom: "inception_4c/pool_proj" + top: "inception_4c/pool_proj" +} +layer { + name: "inception_4c/output" + type: "Concat" + bottom: "inception_4c/1x1" + bottom: "inception_4c/3x3" + bottom: "inception_4c/5x5" + bottom: "inception_4c/pool_proj" + top: "inception_4c/output" +} +layer { + name: "inception_4d/1x1" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_1x1" + type: "ReLU" + bottom: "inception_4d/1x1" + top: "inception_4d/1x1" +} +layer { + name: "inception_4d/3x3_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 144 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3_reduce" +} +layer { + name: "inception_4d/3x3" + type: "Convolution" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3" + type: "ReLU" + bottom: "inception_4d/3x3" + top: "inception_4d/3x3" +} +layer { + name: "inception_4d/5x5_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5_reduce" +} +layer { + name: "inception_4d/5x5" + type: "Convolution" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5" + type: "ReLU" + bottom: "inception_4d/5x5" + top: "inception_4d/5x5" +} +layer { + name: "inception_4d/pool" + type: "Pooling" + bottom: "inception_4c/output" + top: "inception_4d/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4d/pool_proj" + type: "Convolution" + bottom: "inception_4d/pool" + top: "inception_4d/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_pool_proj" + type: "ReLU" + bottom: "inception_4d/pool_proj" + top: "inception_4d/pool_proj" +} +layer { + name: "inception_4d/output" + type: "Concat" + bottom: "inception_4d/1x1" + bottom: "inception_4d/3x3" + bottom: "inception_4d/5x5" + bottom: "inception_4d/pool_proj" + top: "inception_4d/output" +} +layer { + name: "inception_4e/1x1" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_1x1" + type: "ReLU" + bottom: "inception_4e/1x1" + top: "inception_4e/1x1" +} +layer { + name: "inception_4e/3x3_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3_reduce" +} +layer { + name: "inception_4e/3x3" + type: "Convolution" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3" + type: "ReLU" + bottom: "inception_4e/3x3" + top: "inception_4e/3x3" +} +layer { + name: "inception_4e/5x5_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5_reduce" +} +layer { + name: "inception_4e/5x5" + type: "Convolution" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5" + type: "ReLU" + bottom: "inception_4e/5x5" + top: "inception_4e/5x5" +} +layer { + name: "inception_4e/pool" + type: "Pooling" + bottom: "inception_4d/output" + top: "inception_4e/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4e/pool_proj" + type: "Convolution" + bottom: "inception_4e/pool" + top: "inception_4e/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_pool_proj" + type: "ReLU" + bottom: "inception_4e/pool_proj" + top: "inception_4e/pool_proj" +} +layer { + name: "inception_4e/output" + type: "Concat" + bottom: "inception_4e/1x1" + bottom: "inception_4e/3x3" + bottom: "inception_4e/5x5" + bottom: "inception_4e/pool_proj" + top: "inception_4e/output" +} +layer { + name: "pool4/3x3_s2" + type: "Pooling" + bottom: "inception_4e/output" + top: "pool4/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_5a/1x1" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_1x1" + type: "ReLU" + bottom: "inception_5a/1x1" + top: "inception_5a/1x1" +} +layer { + name: "inception_5a/3x3_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3_reduce" +} +layer { + name: "inception_5a/3x3" + type: "Convolution" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3" + type: "ReLU" + bottom: "inception_5a/3x3" + top: "inception_5a/3x3" +} +layer { + name: "inception_5a/5x5_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5_reduce" +} +layer { + name: "inception_5a/5x5" + type: "Convolution" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5" + type: "ReLU" + bottom: "inception_5a/5x5" + top: "inception_5a/5x5" +} +layer { + name: "inception_5a/pool" + type: "Pooling" + bottom: "pool4/3x3_s2" + top: "inception_5a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5a/pool_proj" + type: "Convolution" + bottom: "inception_5a/pool" + top: "inception_5a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_pool_proj" + type: "ReLU" + bottom: "inception_5a/pool_proj" + top: "inception_5a/pool_proj" +} +layer { + name: "inception_5a/output" + type: "Concat" + bottom: "inception_5a/1x1" + bottom: "inception_5a/3x3" + bottom: "inception_5a/5x5" + bottom: "inception_5a/pool_proj" + top: "inception_5a/output" +} +layer { + name: "inception_5b/1x1" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_1x1" + type: "ReLU" + bottom: "inception_5b/1x1" + top: "inception_5b/1x1" +} +layer { + name: "inception_5b/3x3_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3_reduce" +} +layer { + name: "inception_5b/3x3" + type: "Convolution" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3" + type: "ReLU" + bottom: "inception_5b/3x3" + top: "inception_5b/3x3" +} +layer { + name: "inception_5b/5x5_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5_reduce" +} +layer { + name: "inception_5b/5x5" + type: "Convolution" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5" + type: "ReLU" + bottom: "inception_5b/5x5" + top: "inception_5b/5x5" +} +layer { + name: "inception_5b/pool" + type: "Pooling" + bottom: "inception_5a/output" + top: "inception_5b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5b/pool_proj" + type: "Convolution" + bottom: "inception_5b/pool" + top: "inception_5b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_pool_proj" + type: "ReLU" + bottom: "inception_5b/pool_proj" + top: "inception_5b/pool_proj" +} +layer { + name: "inception_5b/output" + type: "Concat" + bottom: "inception_5b/1x1" + bottom: "inception_5b/3x3" + bottom: "inception_5b/5x5" + bottom: "inception_5b/pool_proj" + top: "inception_5b/output" +} +layer { + name: "pool5/7x7_s1" + type: "Pooling" + bottom: "inception_5b/output" + top: "pool5/7x7_s1" + pooling_param { + pool: AVE + kernel_size: 7 + stride: 1 + } +} +layer { + name: "pool5/drop_7x7_s1" + type: "Dropout" + bottom: "pool5/7x7_s1" + top: "pool5/7x7_s1" + dropout_param { + dropout_ratio: 0.4 + } +} +layer { + name: "loss3/classifier" + type: "InnerProduct" + bottom: "pool5/7x7_s1" + top: "loss3/classifier" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 205 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "prob" + type: "Softmax" + bottom: "loss3/classifier" + top: "prob" +} + diff --git a/24-07/caffe/deploy/17-ImageNet.prototxt b/24-07/caffe/deploy/17-ImageNet.prototxt new file mode 100644 index 0000000..6c6f2b3 --- /dev/null +++ b/24-07/caffe/deploy/17-ImageNet.prototxt @@ -0,0 +1,2166 @@ +name: "GoogLeNet" +input: "data" +input_shape { + dim: 10 + dim: 3 + dim: 224 + dim: 224 +} +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 7 + stride: 2 + pad: 3 + weight_filler { + type: "gaussian" + std: 0.015 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} +layers { + name: "norm1" + type: LRN + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "reduction2" + type: CONVOLUTION + bottom: "norm1" + top: "reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + group: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_reduction2" + type: RELU + bottom: "reduction2" + top: "reduction2" +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "reduction2" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + group: 1 + weight_filler { + type: "gaussian" + std: 0.02 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "norm2" + type: LRN + bottom: "conv2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "pool2" + type: POOLING + bottom: "norm2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} +# Inception module 1 *************** +layers { + name: "icp1_reduction1" + type: CONVOLUTION + bottom: "pool2" + top: "icp1_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_reduction1" + type: RELU + bottom: "icp1_reduction1" + top: "icp1_reduction1" +} +layers { + name: "icp1_reduction2" + type: CONVOLUTION + bottom: "pool2" + top: "icp1_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 16 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_reduction2" + type: RELU + bottom: "icp1_reduction2" + top: "icp1_reduction2" +} +layers { + name: "icp1_pool" + type: POOLING + bottom: "pool2" + top: "icp1_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp1_out0" + type: CONVOLUTION + bottom: "pool2" + top: "icp1_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out0" + type: RELU + bottom: "icp1_out0" + top: "icp1_out0" +} +layers { + name: "icp1_out1" + type: CONVOLUTION + bottom: "icp1_reduction1" + top: "icp1_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out1" + type: RELU + bottom: "icp1_out1" + top: "icp1_out1" +} +layers { + name: "icp1_out2" + type: CONVOLUTION + bottom: "icp1_reduction2" + top: "icp1_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out2" + type: RELU + bottom: "icp1_out2" + top: "icp1_out2" +} +layers { + name: "icp1_out3" + type: CONVOLUTION + bottom: "icp1_pool" + top: "icp1_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out3" + type: RELU + bottom: "icp1_out3" + top: "icp1_out3" +} +# Concat them together +layers { + name: "icp2_in" + type: CONCAT + bottom: "icp1_out0" + bottom: "icp1_out1" + bottom: "icp1_out2" + bottom: "icp1_out3" + top: "icp2_in" +} + +# Inception module 2 *************** +layers { + name: "icp2_reduction1" + type: CONVOLUTION + bottom: "icp2_in" + top: "icp2_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_reduction1" + type: RELU + bottom: "icp2_reduction1" + top: "icp2_reduction1" +} +layers { + name: "icp2_reduction2" + type: CONVOLUTION + bottom: "icp2_in" + top: "icp2_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_reduction2" + type: RELU + bottom: "icp2_reduction2" + top: "icp2_reduction2" +} +layers { + name: "icp2_pool" + type: POOLING + bottom: "icp2_in" + top: "icp2_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp2_out0" + type: CONVOLUTION + bottom: "icp2_in" + top: "icp2_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out0" + type: RELU + bottom: "icp2_out0" + top: "icp2_out0" +} +layers { + name: "icp2_out1" + type: CONVOLUTION + bottom: "icp2_reduction1" + top: "icp2_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out1" + type: RELU + bottom: "icp2_out1" + top: "icp2_out1" +} +layers { + name: "icp2_out2" + type: CONVOLUTION + bottom: "icp2_reduction2" + top: "icp2_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out2" + type: RELU + bottom: "icp2_out2" + top: "icp2_out2" +} +layers { + name: "icp2_out3" + type: CONVOLUTION + bottom: "icp2_pool" + top: "icp2_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out3" + type: RELU + bottom: "icp2_out3" + top: "icp2_out3" +} +# Concat them together +layers { + name: "icp2_out" + type: CONCAT + bottom: "icp2_out0" + bottom: "icp2_out1" + bottom: "icp2_out2" + bottom: "icp2_out3" + top: "icp2_out" +} +layers { + name: "icp3_in" + type: POOLING + bottom: "icp2_out" + top: "icp3_in" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} + +# Inception module 3 *************** +layers { + name: "icp3_reduction1" + type: CONVOLUTION + bottom: "icp3_in" + top: "icp3_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_reduction1" + type: RELU + bottom: "icp3_reduction1" + top: "icp3_reduction1" +} +layers { + name: "icp3_reduction2" + type: CONVOLUTION + bottom: "icp3_in" + top: "icp3_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 16 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_reduction2" + type: RELU + bottom: "icp3_reduction2" + top: "icp3_reduction2" +} +layers { + name: "icp3_pool" + type: POOLING + bottom: "icp3_in" + top: "icp3_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp3_out0" + type: CONVOLUTION + bottom: "icp3_in" + top: "icp3_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out0" + type: RELU + bottom: "icp3_out0" + top: "icp3_out0" +} +layers { + name: "icp3_out1" + type: CONVOLUTION + bottom: "icp3_reduction1" + top: "icp3_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out1" + type: RELU + bottom: "icp3_out1" + top: "icp3_out1" +} +layers { + name: "icp3_out2" + type: CONVOLUTION + bottom: "icp3_reduction2" + top: "icp3_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out2" + type: RELU + bottom: "icp3_out2" + top: "icp3_out2" +} +layers { + name: "icp3_out3" + type: CONVOLUTION + bottom: "icp3_pool" + top: "icp3_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out3" + type: RELU + bottom: "icp3_out3" + top: "icp3_out3" +} +# Concat them together +layers { + name: "icp3_out" + type: CONCAT + bottom: "icp3_out0" + bottom: "icp3_out1" + bottom: "icp3_out2" + bottom: "icp3_out3" + top: "icp3_out" +} + +# first classification branch ************ +layers { + name: "cls1_pool" + type: POOLING + bottom: "icp3_out" + top: "cls1_pool" + pooling_param { + pool: AVE + kernel_size: 5 + stride: 3 + pad: 0 + # this padding is somewhat special + } +} +layers { + name: "cls1_reduction" + type: CONVOLUTION + bottom: "cls1_pool" + top: "cls1_reduction" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls1_reduction" + type: RELU + bottom: "cls1_reduction" + top: "cls1_reduction" +} +layers { + name: "cls1_fc1" + type: INNER_PRODUCT + bottom: "cls1_reduction" + top: "cls1_fc1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 1024 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls1_fc1" + type: RELU + bottom: "cls1_fc1" + top: "cls1_fc1" +} +layers { + name: "cls1_drop" + type: DROPOUT + bottom: "cls1_fc1" + top: "cls1_fc1" + dropout_param { + dropout_ratio: 0.7 + } +} +layers { + name: "cls1_fc2" + type: INNER_PRODUCT + bottom: "cls1_fc1" + top: "cls1_fc2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} + +# Inception module 4 *************** +layers { + name: "icp4_reduction1" + type: CONVOLUTION + bottom: "icp3_out" + top: "icp4_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 112 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_reduction1" + type: RELU + bottom: "icp4_reduction1" + top: "icp4_reduction1" +} +layers { + name: "icp4_reduction2" + type: CONVOLUTION + bottom: "icp3_out" + top: "icp4_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 24 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_reduction2" + type: RELU + bottom: "icp4_reduction2" + top: "icp4_reduction2" +} +layers { + name: "icp4_pool" + type: POOLING + bottom: "icp3_out" + top: "icp4_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp4_out0" + type: CONVOLUTION + bottom: "icp3_out" + top: "icp4_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out0" + type: RELU + bottom: "icp4_out0" + top: "icp4_out0" +} +layers { + name: "icp4_out1" + type: CONVOLUTION + bottom: "icp4_reduction1" + top: "icp4_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out1" + type: RELU + bottom: "icp4_out1" + top: "icp4_out1" +} +layers { + name: "icp4_out2" + type: CONVOLUTION + bottom: "icp4_reduction2" + top: "icp4_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out2" + type: RELU + bottom: "icp4_out2" + top: "icp4_out2" +} +layers { + name: "icp4_out3" + type: CONVOLUTION + bottom: "icp4_pool" + top: "icp4_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out3" + type: RELU + bottom: "icp4_out3" + top: "icp4_out3" +} +# Concat them together +layers { + name: "icp4_out" + type: CONCAT + bottom: "icp4_out0" + bottom: "icp4_out1" + bottom: "icp4_out2" + bottom: "icp4_out3" + top: "icp4_out" +} + +# Inception module 5 *************** +layers { + name: "icp5_reduction1" + type: CONVOLUTION + bottom: "icp4_out" + top: "icp5_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_reduction1" + type: RELU + bottom: "icp5_reduction1" + top: "icp5_reduction1" +} +layers { + name: "icp5_reduction2" + type: CONVOLUTION + bottom: "icp4_out" + top: "icp5_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 24 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_reduction2" + type: RELU + bottom: "icp5_reduction2" + top: "icp5_reduction2" +} +layers { + name: "icp5_pool" + type: POOLING + bottom: "icp4_out" + top: "icp5_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp5_out0" + type: CONVOLUTION + bottom: "icp4_out" + top: "icp5_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out0" + type: RELU + bottom: "icp5_out0" + top: "icp5_out0" +} +layers { + name: "icp5_out1" + type: CONVOLUTION + bottom: "icp5_reduction1" + top: "icp5_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out1" + type: RELU + bottom: "icp5_out1" + top: "icp5_out1" +} +layers { + name: "icp5_out2" + type: CONVOLUTION + bottom: "icp5_reduction2" + top: "icp5_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out2" + type: RELU + bottom: "icp5_out2" + top: "icp5_out2" +} +layers { + name: "icp5_out3" + type: CONVOLUTION + bottom: "icp5_pool" + top: "icp5_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out3" + type: RELU + bottom: "icp5_out3" + top: "icp5_out3" +} +# Concat them together +layers { + name: "icp5_out" + type: CONCAT + bottom: "icp5_out0" + bottom: "icp5_out1" + bottom: "icp5_out2" + bottom: "icp5_out3" + top: "icp5_out" +} + +# Inception module 6 *************** +layers { + name: "icp6_reduction1" + type: CONVOLUTION + bottom: "icp5_out" + top: "icp6_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 144 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_reduction1" + type: RELU + bottom: "icp6_reduction1" + top: "icp6_reduction1" +} +layers { + name: "icp6_reduction2" + type: CONVOLUTION + bottom: "icp5_out" + top: "icp6_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_reduction2" + type: RELU + bottom: "icp6_reduction2" + top: "icp6_reduction2" +} +layers { + name: "icp6_pool" + type: POOLING + bottom: "icp5_out" + top: "icp6_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp6_out0" + type: CONVOLUTION + bottom: "icp5_out" + top: "icp6_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 112 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out0" + type: RELU + bottom: "icp6_out0" + top: "icp6_out0" +} +layers { + name: "icp6_out1" + type: CONVOLUTION + bottom: "icp6_reduction1" + top: "icp6_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out1" + type: RELU + bottom: "icp6_out1" + top: "icp6_out1" +} +layers { + name: "icp6_out2" + type: CONVOLUTION + bottom: "icp6_reduction2" + top: "icp6_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out2" + type: RELU + bottom: "icp6_out2" + top: "icp6_out2" +} +layers { + name: "icp6_out3" + type: CONVOLUTION + bottom: "icp6_pool" + top: "icp6_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out3" + type: RELU + bottom: "icp6_out3" + top: "icp6_out3" +} +# Concat them together +layers { + name: "icp6_out" + type: CONCAT + bottom: "icp6_out0" + bottom: "icp6_out1" + bottom: "icp6_out2" + bottom: "icp6_out3" + top: "icp6_out" +} + +# second classification branch ************ +layers { + name: "cls2_pool" + type: POOLING + bottom: "icp6_out" + top: "cls2_pool" + pooling_param { + pool: AVE + kernel_size: 5 + stride: 3 + pad: 0 + # this padding is somewhat special + } +} +layers { + name: "cls2_reduction" + type: CONVOLUTION + bottom: "cls2_pool" + top: "cls2_reduction" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls2_reduction" + type: RELU + bottom: "cls2_reduction" + top: "cls2_reduction" +} +layers { + name: "cls2_fc1" + type: INNER_PRODUCT + bottom: "cls2_reduction" + top: "cls2_fc1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 1024 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls2_fc1" + type: RELU + bottom: "cls2_fc1" + top: "cls2_fc1" +} +layers { + name: "cls2_drop" + type: DROPOUT + bottom: "cls2_fc1" + top: "cls2_fc1" + dropout_param { + dropout_ratio: 0.7 + } +} +layers { + name: "cls2_fc2" + type: INNER_PRODUCT + bottom: "cls2_fc1" + top: "cls2_fc2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} + + +# Inception module 7 *************** +layers { + name: "icp7_reduction1" + type: CONVOLUTION + bottom: "icp6_out" + top: "icp7_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_reduction1" + type: RELU + bottom: "icp7_reduction1" + top: "icp7_reduction1" +} +layers { + name: "icp7_reduction2" + type: CONVOLUTION + bottom: "icp6_out" + top: "icp7_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_reduction2" + type: RELU + bottom: "icp7_reduction2" + top: "icp7_reduction2" +} +layers { + name: "icp7_pool" + type: POOLING + bottom: "icp6_out" + top: "icp7_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp7_out0" + type: CONVOLUTION + bottom: "icp6_out" + top: "icp7_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out0" + type: RELU + bottom: "icp7_out0" + top: "icp7_out0" +} +layers { + name: "icp7_out1" + type: CONVOLUTION + bottom: "icp7_reduction1" + top: "icp7_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out1" + type: RELU + bottom: "icp7_out1" + top: "icp7_out1" +} +layers { + name: "icp7_out2" + type: CONVOLUTION + bottom: "icp7_reduction2" + top: "icp7_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out2" + type: RELU + bottom: "icp7_out2" + top: "icp7_out2" +} +layers { + name: "icp7_out3" + type: CONVOLUTION + bottom: "icp7_pool" + top: "icp7_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out3" + type: RELU + bottom: "icp7_out3" + top: "icp7_out3" +} +# Concat them together +layers { + name: "icp7_out" + type: CONCAT + bottom: "icp7_out0" + bottom: "icp7_out1" + bottom: "icp7_out2" + bottom: "icp7_out3" + top: "icp7_out" +} +layers { + name: "icp8_in" + type: POOLING + bottom: "icp7_out" + top: "icp8_in" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} +# Inception module 8 *************** +layers { + name: "icp8_reduction1" + type: CONVOLUTION + bottom: "icp8_in" + top: "icp8_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_reduction1" + type: RELU + bottom: "icp8_reduction1" + top: "icp8_reduction1" +} +layers { + name: "icp8_reduction2" + type: CONVOLUTION + bottom: "icp8_in" + top: "icp8_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_reduction2" + type: RELU + bottom: "icp8_reduction2" + top: "icp8_reduction2" +} +layers { + name: "icp8_pool" + type: POOLING + bottom: "icp8_in" + top: "icp8_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp8_out0" + type: CONVOLUTION + bottom: "icp8_in" + top: "icp8_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out0" + type: RELU + bottom: "icp8_out0" + top: "icp8_out0" +} +layers { + name: "icp8_out1" + type: CONVOLUTION + bottom: "icp8_reduction1" + top: "icp8_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out1" + type: RELU + bottom: "icp8_out1" + top: "icp8_out1" +} +layers { + name: "icp8_out2" + type: CONVOLUTION + bottom: "icp8_reduction2" + top: "icp8_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out2" + type: RELU + bottom: "icp8_out2" + top: "icp8_out2" +} +layers { + name: "icp8_out3" + type: CONVOLUTION + bottom: "icp8_pool" + top: "icp8_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out3" + type: RELU + bottom: "icp8_out3" + top: "icp8_out3" +} +# Concat them together +layers { + name: "icp8_out" + type: CONCAT + bottom: "icp8_out0" + bottom: "icp8_out1" + bottom: "icp8_out2" + bottom: "icp8_out3" + top: "icp8_out" +} + +# Inception module 9 *************** +layers { + name: "icp9_reduction1" + type: CONVOLUTION + bottom: "icp8_out" + top: "icp9_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_reduction1" + type: RELU + bottom: "icp9_reduction1" + top: "icp9_reduction1" +} +layers { + name: "icp9_reduction2" + type: CONVOLUTION + bottom: "icp8_out" + top: "icp9_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 48 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_reduction2" + type: RELU + bottom: "icp9_reduction2" + top: "icp9_reduction2" +} +layers { + name: "icp9_pool" + type: POOLING + bottom: "icp8_out" + top: "icp9_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp9_out0" + type: CONVOLUTION + bottom: "icp8_out" + top: "icp9_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out0" + type: RELU + bottom: "icp9_out0" + top: "icp9_out0" +} +layers { + name: "icp9_out1" + type: CONVOLUTION + bottom: "icp9_reduction1" + top: "icp9_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out1" + type: RELU + bottom: "icp9_out1" + top: "icp9_out1" +} +layers { + name: "icp9_out2" + type: CONVOLUTION + bottom: "icp9_reduction2" + top: "icp9_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out2" + type: RELU + bottom: "icp9_out2" + top: "icp9_out2" +} +layers { + name: "icp9_out3" + type: CONVOLUTION + bottom: "icp9_pool" + top: "icp9_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out3" + type: RELU + bottom: "icp9_out3" + top: "icp9_out3" +} +# Concat them together +layers { + name: "icp9_out" + type: CONCAT + bottom: "icp9_out0" + bottom: "icp9_out1" + bottom: "icp9_out2" + bottom: "icp9_out3" + top: "icp9_out" +} + +# third classification branch +layers { + name: "cls3_pool" + type: POOLING + bottom: "icp9_out" + top: "cls3_pool" + pooling_param { + pool: AVE + kernel_size: 7 + stride: 1 + pad: 0 + # This padding is somewhat special + } +} +layers { + name: "cls3_drop" + type: DROPOUT + bottom: "cls3_pool" + top: "cls3_pool" + dropout_param { + dropout_ratio: 0.4 + } +} +layers { + name: "cls3_fc" + type: INNER_PRODUCT + bottom: "cls3_pool" + top: "cls3_fc" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} diff --git a/24-07/caffe/deploy/18-Places.prototxt b/24-07/caffe/deploy/18-Places.prototxt new file mode 100644 index 0000000..33cb2a1 --- /dev/null +++ b/24-07/caffe/deploy/18-Places.prototxt @@ -0,0 +1,2163 @@ +name: "GoogLeNet" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 7 + stride: 2 + pad: 3 + weight_filler { + type: "gaussian" + std: 0.015 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} +layers { + name: "norm1" + type: LRN + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "reduction2" + type: CONVOLUTION + bottom: "norm1" + top: "reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + group: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_reduction2" + type: RELU + bottom: "reduction2" + top: "reduction2" +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "reduction2" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + group: 1 + weight_filler { + type: "gaussian" + std: 0.02 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "norm2" + type: LRN + bottom: "conv2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "pool2" + type: POOLING + bottom: "norm2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} +# Inception module 1 *************** +layers { + name: "icp1_reduction1" + type: CONVOLUTION + bottom: "pool2" + top: "icp1_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_reduction1" + type: RELU + bottom: "icp1_reduction1" + top: "icp1_reduction1" +} +layers { + name: "icp1_reduction2" + type: CONVOLUTION + bottom: "pool2" + top: "icp1_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 16 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_reduction2" + type: RELU + bottom: "icp1_reduction2" + top: "icp1_reduction2" +} +layers { + name: "icp1_pool" + type: POOLING + bottom: "pool2" + top: "icp1_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp1_out0" + type: CONVOLUTION + bottom: "pool2" + top: "icp1_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out0" + type: RELU + bottom: "icp1_out0" + top: "icp1_out0" +} +layers { + name: "icp1_out1" + type: CONVOLUTION + bottom: "icp1_reduction1" + top: "icp1_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out1" + type: RELU + bottom: "icp1_out1" + top: "icp1_out1" +} +layers { + name: "icp1_out2" + type: CONVOLUTION + bottom: "icp1_reduction2" + top: "icp1_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out2" + type: RELU + bottom: "icp1_out2" + top: "icp1_out2" +} +layers { + name: "icp1_out3" + type: CONVOLUTION + bottom: "icp1_pool" + top: "icp1_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp1_out3" + type: RELU + bottom: "icp1_out3" + top: "icp1_out3" +} +# Concat them together +layers { + name: "icp2_in" + type: CONCAT + bottom: "icp1_out0" + bottom: "icp1_out1" + bottom: "icp1_out2" + bottom: "icp1_out3" + top: "icp2_in" +} + +# Inception module 2 *************** +layers { + name: "icp2_reduction1" + type: CONVOLUTION + bottom: "icp2_in" + top: "icp2_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_reduction1" + type: RELU + bottom: "icp2_reduction1" + top: "icp2_reduction1" +} +layers { + name: "icp2_reduction2" + type: CONVOLUTION + bottom: "icp2_in" + top: "icp2_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_reduction2" + type: RELU + bottom: "icp2_reduction2" + top: "icp2_reduction2" +} +layers { + name: "icp2_pool" + type: POOLING + bottom: "icp2_in" + top: "icp2_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp2_out0" + type: CONVOLUTION + bottom: "icp2_in" + top: "icp2_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out0" + type: RELU + bottom: "icp2_out0" + top: "icp2_out0" +} +layers { + name: "icp2_out1" + type: CONVOLUTION + bottom: "icp2_reduction1" + top: "icp2_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out1" + type: RELU + bottom: "icp2_out1" + top: "icp2_out1" +} +layers { + name: "icp2_out2" + type: CONVOLUTION + bottom: "icp2_reduction2" + top: "icp2_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out2" + type: RELU + bottom: "icp2_out2" + top: "icp2_out2" +} +layers { + name: "icp2_out3" + type: CONVOLUTION + bottom: "icp2_pool" + top: "icp2_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp2_out3" + type: RELU + bottom: "icp2_out3" + top: "icp2_out3" +} +# Concat them together +layers { + name: "icp2_out" + type: CONCAT + bottom: "icp2_out0" + bottom: "icp2_out1" + bottom: "icp2_out2" + bottom: "icp2_out3" + top: "icp2_out" +} +layers { + name: "icp3_in" + type: POOLING + bottom: "icp2_out" + top: "icp3_in" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} + +# Inception module 3 *************** +layers { + name: "icp3_reduction1" + type: CONVOLUTION + bottom: "icp3_in" + top: "icp3_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_reduction1" + type: RELU + bottom: "icp3_reduction1" + top: "icp3_reduction1" +} +layers { + name: "icp3_reduction2" + type: CONVOLUTION + bottom: "icp3_in" + top: "icp3_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 16 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_reduction2" + type: RELU + bottom: "icp3_reduction2" + top: "icp3_reduction2" +} +layers { + name: "icp3_pool" + type: POOLING + bottom: "icp3_in" + top: "icp3_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp3_out0" + type: CONVOLUTION + bottom: "icp3_in" + top: "icp3_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out0" + type: RELU + bottom: "icp3_out0" + top: "icp3_out0" +} +layers { + name: "icp3_out1" + type: CONVOLUTION + bottom: "icp3_reduction1" + top: "icp3_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out1" + type: RELU + bottom: "icp3_out1" + top: "icp3_out1" +} +layers { + name: "icp3_out2" + type: CONVOLUTION + bottom: "icp3_reduction2" + top: "icp3_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out2" + type: RELU + bottom: "icp3_out2" + top: "icp3_out2" +} +layers { + name: "icp3_out3" + type: CONVOLUTION + bottom: "icp3_pool" + top: "icp3_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp3_out3" + type: RELU + bottom: "icp3_out3" + top: "icp3_out3" +} +# Concat them together +layers { + name: "icp3_out" + type: CONCAT + bottom: "icp3_out0" + bottom: "icp3_out1" + bottom: "icp3_out2" + bottom: "icp3_out3" + top: "icp3_out" +} + +# first classification branch ************ +layers { + name: "cls1_pool" + type: POOLING + bottom: "icp3_out" + top: "cls1_pool" + pooling_param { + pool: AVE + kernel_size: 5 + stride: 3 + pad: 0 + # this padding is somewhat special + } +} +layers { + name: "cls1_reduction" + type: CONVOLUTION + bottom: "cls1_pool" + top: "cls1_reduction" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls1_reduction" + type: RELU + bottom: "cls1_reduction" + top: "cls1_reduction" +} +layers { + name: "cls1_fc1" + type: INNER_PRODUCT + bottom: "cls1_reduction" + top: "cls1_fc1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 1024 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls1_fc1" + type: RELU + bottom: "cls1_fc1" + top: "cls1_fc1" +} +layers { + name: "cls1_drop" + type: DROPOUT + bottom: "cls1_fc1" + top: "cls1_fc1" + dropout_param { + dropout_ratio: 0.7 + } +} +layers { + name: "cls1_fc2" + type: INNER_PRODUCT + bottom: "cls1_fc1" + top: "cls1_fc2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} + +# Inception module 4 *************** +layers { + name: "icp4_reduction1" + type: CONVOLUTION + bottom: "icp3_out" + top: "icp4_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 112 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_reduction1" + type: RELU + bottom: "icp4_reduction1" + top: "icp4_reduction1" +} +layers { + name: "icp4_reduction2" + type: CONVOLUTION + bottom: "icp3_out" + top: "icp4_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 24 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_reduction2" + type: RELU + bottom: "icp4_reduction2" + top: "icp4_reduction2" +} +layers { + name: "icp4_pool" + type: POOLING + bottom: "icp3_out" + top: "icp4_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp4_out0" + type: CONVOLUTION + bottom: "icp3_out" + top: "icp4_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out0" + type: RELU + bottom: "icp4_out0" + top: "icp4_out0" +} +layers { + name: "icp4_out1" + type: CONVOLUTION + bottom: "icp4_reduction1" + top: "icp4_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out1" + type: RELU + bottom: "icp4_out1" + top: "icp4_out1" +} +layers { + name: "icp4_out2" + type: CONVOLUTION + bottom: "icp4_reduction2" + top: "icp4_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out2" + type: RELU + bottom: "icp4_out2" + top: "icp4_out2" +} +layers { + name: "icp4_out3" + type: CONVOLUTION + bottom: "icp4_pool" + top: "icp4_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp4_out3" + type: RELU + bottom: "icp4_out3" + top: "icp4_out3" +} +# Concat them together +layers { + name: "icp4_out" + type: CONCAT + bottom: "icp4_out0" + bottom: "icp4_out1" + bottom: "icp4_out2" + bottom: "icp4_out3" + top: "icp4_out" +} + +# Inception module 5 *************** +layers { + name: "icp5_reduction1" + type: CONVOLUTION + bottom: "icp4_out" + top: "icp5_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_reduction1" + type: RELU + bottom: "icp5_reduction1" + top: "icp5_reduction1" +} +layers { + name: "icp5_reduction2" + type: CONVOLUTION + bottom: "icp4_out" + top: "icp5_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 24 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_reduction2" + type: RELU + bottom: "icp5_reduction2" + top: "icp5_reduction2" +} +layers { + name: "icp5_pool" + type: POOLING + bottom: "icp4_out" + top: "icp5_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp5_out0" + type: CONVOLUTION + bottom: "icp4_out" + top: "icp5_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out0" + type: RELU + bottom: "icp5_out0" + top: "icp5_out0" +} +layers { + name: "icp5_out1" + type: CONVOLUTION + bottom: "icp5_reduction1" + top: "icp5_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out1" + type: RELU + bottom: "icp5_out1" + top: "icp5_out1" +} +layers { + name: "icp5_out2" + type: CONVOLUTION + bottom: "icp5_reduction2" + top: "icp5_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out2" + type: RELU + bottom: "icp5_out2" + top: "icp5_out2" +} +layers { + name: "icp5_out3" + type: CONVOLUTION + bottom: "icp5_pool" + top: "icp5_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp5_out3" + type: RELU + bottom: "icp5_out3" + top: "icp5_out3" +} +# Concat them together +layers { + name: "icp5_out" + type: CONCAT + bottom: "icp5_out0" + bottom: "icp5_out1" + bottom: "icp5_out2" + bottom: "icp5_out3" + top: "icp5_out" +} + +# Inception module 6 *************** +layers { + name: "icp6_reduction1" + type: CONVOLUTION + bottom: "icp5_out" + top: "icp6_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 144 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_reduction1" + type: RELU + bottom: "icp6_reduction1" + top: "icp6_reduction1" +} +layers { + name: "icp6_reduction2" + type: CONVOLUTION + bottom: "icp5_out" + top: "icp6_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_reduction2" + type: RELU + bottom: "icp6_reduction2" + top: "icp6_reduction2" +} +layers { + name: "icp6_pool" + type: POOLING + bottom: "icp5_out" + top: "icp6_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp6_out0" + type: CONVOLUTION + bottom: "icp5_out" + top: "icp6_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 112 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out0" + type: RELU + bottom: "icp6_out0" + top: "icp6_out0" +} +layers { + name: "icp6_out1" + type: CONVOLUTION + bottom: "icp6_reduction1" + top: "icp6_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out1" + type: RELU + bottom: "icp6_out1" + top: "icp6_out1" +} +layers { + name: "icp6_out2" + type: CONVOLUTION + bottom: "icp6_reduction2" + top: "icp6_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out2" + type: RELU + bottom: "icp6_out2" + top: "icp6_out2" +} +layers { + name: "icp6_out3" + type: CONVOLUTION + bottom: "icp6_pool" + top: "icp6_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp6_out3" + type: RELU + bottom: "icp6_out3" + top: "icp6_out3" +} +# Concat them together +layers { + name: "icp6_out" + type: CONCAT + bottom: "icp6_out0" + bottom: "icp6_out1" + bottom: "icp6_out2" + bottom: "icp6_out3" + top: "icp6_out" +} + +# second classification branch ************ +layers { + name: "cls2_pool" + type: POOLING + bottom: "icp6_out" + top: "cls2_pool" + pooling_param { + pool: AVE + kernel_size: 5 + stride: 3 + pad: 0 + # this padding is somewhat special + } +} +layers { + name: "cls2_reduction" + type: CONVOLUTION + bottom: "cls2_pool" + top: "cls2_reduction" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls2_reduction" + type: RELU + bottom: "cls2_reduction" + top: "cls2_reduction" +} +layers { + name: "cls2_fc1" + type: INNER_PRODUCT + bottom: "cls2_reduction" + top: "cls2_fc1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 1024 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_cls2_fc1" + type: RELU + bottom: "cls2_fc1" + top: "cls2_fc1" +} +layers { + name: "cls2_drop" + type: DROPOUT + bottom: "cls2_fc1" + top: "cls2_fc1" + dropout_param { + dropout_ratio: 0.7 + } +} +layers { + name: "cls2_fc2" + type: INNER_PRODUCT + bottom: "cls2_fc1" + top: "cls2_fc2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} + +# Inception module 7 *************** +layers { + name: "icp7_reduction1" + type: CONVOLUTION + bottom: "icp6_out" + top: "icp7_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_reduction1" + type: RELU + bottom: "icp7_reduction1" + top: "icp7_reduction1" +} +layers { + name: "icp7_reduction2" + type: CONVOLUTION + bottom: "icp6_out" + top: "icp7_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_reduction2" + type: RELU + bottom: "icp7_reduction2" + top: "icp7_reduction2" +} +layers { + name: "icp7_pool" + type: POOLING + bottom: "icp6_out" + top: "icp7_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp7_out0" + type: CONVOLUTION + bottom: "icp6_out" + top: "icp7_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out0" + type: RELU + bottom: "icp7_out0" + top: "icp7_out0" +} +layers { + name: "icp7_out1" + type: CONVOLUTION + bottom: "icp7_reduction1" + top: "icp7_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out1" + type: RELU + bottom: "icp7_out1" + top: "icp7_out1" +} +layers { + name: "icp7_out2" + type: CONVOLUTION + bottom: "icp7_reduction2" + top: "icp7_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out2" + type: RELU + bottom: "icp7_out2" + top: "icp7_out2" +} +layers { + name: "icp7_out3" + type: CONVOLUTION + bottom: "icp7_pool" + top: "icp7_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp7_out3" + type: RELU + bottom: "icp7_out3" + top: "icp7_out3" +} +# Concat them together +layers { + name: "icp7_out" + type: CONCAT + bottom: "icp7_out0" + bottom: "icp7_out1" + bottom: "icp7_out2" + bottom: "icp7_out3" + top: "icp7_out" +} +layers { + name: "icp8_in" + type: POOLING + bottom: "icp7_out" + top: "icp8_in" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} +# Inception module 8 *************** +layers { + name: "icp8_reduction1" + type: CONVOLUTION + bottom: "icp8_in" + top: "icp8_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_reduction1" + type: RELU + bottom: "icp8_reduction1" + top: "icp8_reduction1" +} +layers { + name: "icp8_reduction2" + type: CONVOLUTION + bottom: "icp8_in" + top: "icp8_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_reduction2" + type: RELU + bottom: "icp8_reduction2" + top: "icp8_reduction2" +} +layers { + name: "icp8_pool" + type: POOLING + bottom: "icp8_in" + top: "icp8_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp8_out0" + type: CONVOLUTION + bottom: "icp8_in" + top: "icp8_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out0" + type: RELU + bottom: "icp8_out0" + top: "icp8_out0" +} +layers { + name: "icp8_out1" + type: CONVOLUTION + bottom: "icp8_reduction1" + top: "icp8_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out1" + type: RELU + bottom: "icp8_out1" + top: "icp8_out1" +} +layers { + name: "icp8_out2" + type: CONVOLUTION + bottom: "icp8_reduction2" + top: "icp8_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out2" + type: RELU + bottom: "icp8_out2" + top: "icp8_out2" +} +layers { + name: "icp8_out3" + type: CONVOLUTION + bottom: "icp8_pool" + top: "icp8_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp8_out3" + type: RELU + bottom: "icp8_out3" + top: "icp8_out3" +} +# Concat them together +layers { + name: "icp8_out" + type: CONCAT + bottom: "icp8_out0" + bottom: "icp8_out1" + bottom: "icp8_out2" + bottom: "icp8_out3" + top: "icp8_out" +} + +# Inception module 9 *************** +layers { + name: "icp9_reduction1" + type: CONVOLUTION + bottom: "icp8_out" + top: "icp9_reduction1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_reduction1" + type: RELU + bottom: "icp9_reduction1" + top: "icp9_reduction1" +} +layers { + name: "icp9_reduction2" + type: CONVOLUTION + bottom: "icp8_out" + top: "icp9_reduction2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 48 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_reduction2" + type: RELU + bottom: "icp9_reduction2" + top: "icp9_reduction2" +} +layers { + name: "icp9_pool" + type: POOLING + bottom: "icp8_out" + top: "icp9_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +# *********** +layers { + name: "icp9_out0" + type: CONVOLUTION + bottom: "icp8_out" + top: "icp9_out0" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out0" + type: RELU + bottom: "icp9_out0" + top: "icp9_out0" +} +layers { + name: "icp9_out1" + type: CONVOLUTION + bottom: "icp9_reduction1" + top: "icp9_out1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.04 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out1" + type: RELU + bottom: "icp9_out1" + top: "icp9_out1" +} +layers { + name: "icp9_out2" + type: CONVOLUTION + bottom: "icp9_reduction2" + top: "icp9_out2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out2" + type: RELU + bottom: "icp9_out2" + top: "icp9_out2" +} +layers { + name: "icp9_out3" + type: CONVOLUTION + bottom: "icp9_pool" + top: "icp9_out3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu_icp9_out3" + type: RELU + bottom: "icp9_out3" + top: "icp9_out3" +} +# Concat them together +layers { + name: "icp9_out" + type: CONCAT + bottom: "icp9_out0" + bottom: "icp9_out1" + bottom: "icp9_out2" + bottom: "icp9_out3" + top: "icp9_out" +} + +# third classification branch +layers { + name: "cls3_pool" + type: POOLING + bottom: "icp9_out" + top: "cls3_pool" + pooling_param { + pool: AVE + kernel_size: 7 + stride: 1 + pad: 0 + # This padding is somewhat special + } +} +layers { + name: "cls3_drop" + type: DROPOUT + bottom: "cls3_pool" + top: "cls3_pool" + dropout_param { + dropout_ratio: 0.4 + } +} +layers { + name: "cls3_fc" + type: INNER_PRODUCT + bottom: "cls3_pool" + top: "cls3_fc" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 205 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} diff --git a/24-07/caffe/deploy/19-oxford102.prototxt b/24-07/caffe/deploy/19-oxford102.prototxt new file mode 100644 index 0000000..0cfd045 --- /dev/null +++ b/24-07/caffe/deploy/19-oxford102.prototxt @@ -0,0 +1,304 @@ +name: "Oxford102CaffeNet" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm1" + type: LRN + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "norm1" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "pool2" + type: POOLING + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm2" + type: LRN + bottom: "pool2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv3" + type: CONVOLUTION + bottom: "norm2" + top: "conv3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu3" + type: RELU + bottom: "conv3" + top: "conv3" +} +layers { + name: "conv4" + type: CONVOLUTION + bottom: "conv3" + top: "conv4" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu4" + type: RELU + bottom: "conv4" + top: "conv4" +} +layers { + name: "conv5" + type: CONVOLUTION + bottom: "conv4" + top: "conv5" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu5" + type: RELU + bottom: "conv5" + top: "conv5" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv5" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu6" + type: RELU + bottom: "fc6" + top: "fc6" +} +layers { + name: "drop6" + type: DROPOUT + bottom: "fc6" + top: "fc6" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc7" + type: INNER_PRODUCT + bottom: "fc6" + top: "fc7" + # Note that blobs_lr can be set to 0 to disable any fine-tuning of this, and any other, layer + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu7" + type: RELU + bottom: "fc7" + top: "fc7" +} +layers { + name: "drop7" + type: DROPOUT + bottom: "fc7" + top: "fc7" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc8_oxford_102" + type: INNER_PRODUCT + bottom: "fc7" + top: "fc8_oxford_102" + # blobs_lr is set to higher than for other layers, because this layer is starting from random while the others are already trained + blobs_lr: 10 + blobs_lr: 20 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 102 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} diff --git a/24-07/caffe/deploy/20-GoogleNet_SOS.prototxt b/24-07/caffe/deploy/20-GoogleNet_SOS.prototxt new file mode 100644 index 0000000..e2063d5 --- /dev/null +++ b/24-07/caffe/deploy/20-GoogleNet_SOS.prototxt @@ -0,0 +1,2108 @@ +name: "GoogleNet" +layer { + name: "data" + type: "Input" + top: "data" + input_param { + shape: { + dim: 10 + dim: 3 + dim: 224 + dim: 224 + } + } +} +layer { + name: "conv1/7x7_s2" + type: "Convolution" + bottom: "data" + top: "conv1/7x7_s2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv1/relu_7x7" + type: "ReLU" + bottom: "conv1/7x7_s2" + top: "conv1/7x7_s2" +} +layer { + name: "pool1/3x3_s2" + type: "Pooling" + bottom: "conv1/7x7_s2" + top: "pool1/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "pool1/norm1" + type: "LRN" + bottom: "pool1/3x3_s2" + top: "pool1/norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "conv2/3x3_reduce" + type: "Convolution" + bottom: "pool1/norm1" + top: "conv2/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3_reduce" + type: "ReLU" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3_reduce" +} +layer { + name: "conv2/3x3" + type: "Convolution" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3" + type: "ReLU" + bottom: "conv2/3x3" + top: "conv2/3x3" +} +layer { + name: "conv2/norm2" + type: "LRN" + bottom: "conv2/3x3" + top: "conv2/norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "pool2/3x3_s2" + type: "Pooling" + bottom: "conv2/norm2" + top: "pool2/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_3a/1x1" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_1x1" + type: "ReLU" + bottom: "inception_3a/1x1" + top: "inception_3a/1x1" +} +layer { + name: "inception_3a/3x3_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3_reduce" +} +layer { + name: "inception_3a/3x3" + type: "Convolution" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3" + type: "ReLU" + bottom: "inception_3a/3x3" + top: "inception_3a/3x3" +} +layer { + name: "inception_3a/5x5_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5_reduce" +} +layer { + name: "inception_3a/5x5" + type: "Convolution" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5" + type: "ReLU" + bottom: "inception_3a/5x5" + top: "inception_3a/5x5" +} +layer { + name: "inception_3a/pool" + type: "Pooling" + bottom: "pool2/3x3_s2" + top: "inception_3a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3a/pool_proj" + type: "Convolution" + bottom: "inception_3a/pool" + top: "inception_3a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_pool_proj" + type: "ReLU" + bottom: "inception_3a/pool_proj" + top: "inception_3a/pool_proj" +} +layer { + name: "inception_3a/output" + type: "Concat" + bottom: "inception_3a/1x1" + bottom: "inception_3a/3x3" + bottom: "inception_3a/5x5" + bottom: "inception_3a/pool_proj" + top: "inception_3a/output" +} +layer { + name: "inception_3b/1x1" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_1x1" + type: "ReLU" + bottom: "inception_3b/1x1" + top: "inception_3b/1x1" +} +layer { + name: "inception_3b/3x3_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3_reduce" +} +layer { + name: "inception_3b/3x3" + type: "Convolution" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3" + type: "ReLU" + bottom: "inception_3b/3x3" + top: "inception_3b/3x3" +} +layer { + name: "inception_3b/5x5_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5_reduce" +} +layer { + name: "inception_3b/5x5" + type: "Convolution" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5" + type: "ReLU" + bottom: "inception_3b/5x5" + top: "inception_3b/5x5" +} +layer { + name: "inception_3b/pool" + type: "Pooling" + bottom: "inception_3a/output" + top: "inception_3b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3b/pool_proj" + type: "Convolution" + bottom: "inception_3b/pool" + top: "inception_3b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_pool_proj" + type: "ReLU" + bottom: "inception_3b/pool_proj" + top: "inception_3b/pool_proj" +} +layer { + name: "inception_3b/output" + type: "Concat" + bottom: "inception_3b/1x1" + bottom: "inception_3b/3x3" + bottom: "inception_3b/5x5" + bottom: "inception_3b/pool_proj" + top: "inception_3b/output" +} +layer { + name: "pool3/3x3_s2" + type: "Pooling" + bottom: "inception_3b/output" + top: "pool3/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_4a/1x1" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_1x1" + type: "ReLU" + bottom: "inception_4a/1x1" + top: "inception_4a/1x1" +} +layer { + name: "inception_4a/3x3_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3_reduce" +} +layer { + name: "inception_4a/3x3" + type: "Convolution" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3" + type: "ReLU" + bottom: "inception_4a/3x3" + top: "inception_4a/3x3" +} +layer { + name: "inception_4a/5x5_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5_reduce" +} +layer { + name: "inception_4a/5x5" + type: "Convolution" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5" + type: "ReLU" + bottom: "inception_4a/5x5" + top: "inception_4a/5x5" +} +layer { + name: "inception_4a/pool" + type: "Pooling" + bottom: "pool3/3x3_s2" + top: "inception_4a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4a/pool_proj" + type: "Convolution" + bottom: "inception_4a/pool" + top: "inception_4a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_pool_proj" + type: "ReLU" + bottom: "inception_4a/pool_proj" + top: "inception_4a/pool_proj" +} +layer { + name: "inception_4a/output" + type: "Concat" + bottom: "inception_4a/1x1" + bottom: "inception_4a/3x3" + bottom: "inception_4a/5x5" + bottom: "inception_4a/pool_proj" + top: "inception_4a/output" +} +layer { + name: "inception_4b/1x1" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_1x1" + type: "ReLU" + bottom: "inception_4b/1x1" + top: "inception_4b/1x1" +} +layer { + name: "inception_4b/3x3_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3_reduce" +} +layer { + name: "inception_4b/3x3" + type: "Convolution" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3" + type: "ReLU" + bottom: "inception_4b/3x3" + top: "inception_4b/3x3" +} +layer { + name: "inception_4b/5x5_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5_reduce" +} +layer { + name: "inception_4b/5x5" + type: "Convolution" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5" + type: "ReLU" + bottom: "inception_4b/5x5" + top: "inception_4b/5x5" +} +layer { + name: "inception_4b/pool" + type: "Pooling" + bottom: "inception_4a/output" + top: "inception_4b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4b/pool_proj" + type: "Convolution" + bottom: "inception_4b/pool" + top: "inception_4b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_pool_proj" + type: "ReLU" + bottom: "inception_4b/pool_proj" + top: "inception_4b/pool_proj" +} +layer { + name: "inception_4b/output" + type: "Concat" + bottom: "inception_4b/1x1" + bottom: "inception_4b/3x3" + bottom: "inception_4b/5x5" + bottom: "inception_4b/pool_proj" + top: "inception_4b/output" +} +layer { + name: "inception_4c/1x1" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_1x1" + type: "ReLU" + bottom: "inception_4c/1x1" + top: "inception_4c/1x1" +} +layer { + name: "inception_4c/3x3_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3_reduce" +} +layer { + name: "inception_4c/3x3" + type: "Convolution" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3" + type: "ReLU" + bottom: "inception_4c/3x3" + top: "inception_4c/3x3" +} +layer { + name: "inception_4c/5x5_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5_reduce" +} +layer { + name: "inception_4c/5x5" + type: "Convolution" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5" + type: "ReLU" + bottom: "inception_4c/5x5" + top: "inception_4c/5x5" +} +layer { + name: "inception_4c/pool" + type: "Pooling" + bottom: "inception_4b/output" + top: "inception_4c/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4c/pool_proj" + type: "Convolution" + bottom: "inception_4c/pool" + top: "inception_4c/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_pool_proj" + type: "ReLU" + bottom: "inception_4c/pool_proj" + top: "inception_4c/pool_proj" +} +layer { + name: "inception_4c/output" + type: "Concat" + bottom: "inception_4c/1x1" + bottom: "inception_4c/3x3" + bottom: "inception_4c/5x5" + bottom: "inception_4c/pool_proj" + top: "inception_4c/output" +} +layer { + name: "inception_4d/1x1" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_1x1" + type: "ReLU" + bottom: "inception_4d/1x1" + top: "inception_4d/1x1" +} +layer { + name: "inception_4d/3x3_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 144 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3_reduce" +} +layer { + name: "inception_4d/3x3" + type: "Convolution" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3" + type: "ReLU" + bottom: "inception_4d/3x3" + top: "inception_4d/3x3" +} +layer { + name: "inception_4d/5x5_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5_reduce" +} +layer { + name: "inception_4d/5x5" + type: "Convolution" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5" + type: "ReLU" + bottom: "inception_4d/5x5" + top: "inception_4d/5x5" +} +layer { + name: "inception_4d/pool" + type: "Pooling" + bottom: "inception_4c/output" + top: "inception_4d/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4d/pool_proj" + type: "Convolution" + bottom: "inception_4d/pool" + top: "inception_4d/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_pool_proj" + type: "ReLU" + bottom: "inception_4d/pool_proj" + top: "inception_4d/pool_proj" +} +layer { + name: "inception_4d/output" + type: "Concat" + bottom: "inception_4d/1x1" + bottom: "inception_4d/3x3" + bottom: "inception_4d/5x5" + bottom: "inception_4d/pool_proj" + top: "inception_4d/output" +} +layer { + name: "inception_4e/1x1" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_1x1" + type: "ReLU" + bottom: "inception_4e/1x1" + top: "inception_4e/1x1" +} +layer { + name: "inception_4e/3x3_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3_reduce" +} +layer { + name: "inception_4e/3x3" + type: "Convolution" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3" + type: "ReLU" + bottom: "inception_4e/3x3" + top: "inception_4e/3x3" +} +layer { + name: "inception_4e/5x5_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5_reduce" +} +layer { + name: "inception_4e/5x5" + type: "Convolution" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5" + type: "ReLU" + bottom: "inception_4e/5x5" + top: "inception_4e/5x5" +} +layer { + name: "inception_4e/pool" + type: "Pooling" + bottom: "inception_4d/output" + top: "inception_4e/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4e/pool_proj" + type: "Convolution" + bottom: "inception_4e/pool" + top: "inception_4e/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_pool_proj" + type: "ReLU" + bottom: "inception_4e/pool_proj" + top: "inception_4e/pool_proj" +} +layer { + name: "inception_4e/output" + type: "Concat" + bottom: "inception_4e/1x1" + bottom: "inception_4e/3x3" + bottom: "inception_4e/5x5" + bottom: "inception_4e/pool_proj" + top: "inception_4e/output" +} +layer { + name: "pool4/3x3_s2" + type: "Pooling" + bottom: "inception_4e/output" + top: "pool4/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_5a/1x1" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_1x1" + type: "ReLU" + bottom: "inception_5a/1x1" + top: "inception_5a/1x1" +} +layer { + name: "inception_5a/3x3_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3_reduce" +} +layer { + name: "inception_5a/3x3" + type: "Convolution" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3" + type: "ReLU" + bottom: "inception_5a/3x3" + top: "inception_5a/3x3" +} +layer { + name: "inception_5a/5x5_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5_reduce" +} +layer { + name: "inception_5a/5x5" + type: "Convolution" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5" + type: "ReLU" + bottom: "inception_5a/5x5" + top: "inception_5a/5x5" +} +layer { + name: "inception_5a/pool" + type: "Pooling" + bottom: "pool4/3x3_s2" + top: "inception_5a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5a/pool_proj" + type: "Convolution" + bottom: "inception_5a/pool" + top: "inception_5a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_pool_proj" + type: "ReLU" + bottom: "inception_5a/pool_proj" + top: "inception_5a/pool_proj" +} +layer { + name: "inception_5a/output" + type: "Concat" + bottom: "inception_5a/1x1" + bottom: "inception_5a/3x3" + bottom: "inception_5a/5x5" + bottom: "inception_5a/pool_proj" + top: "inception_5a/output" +} +layer { + name: "inception_5b/1x1" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_1x1" + type: "ReLU" + bottom: "inception_5b/1x1" + top: "inception_5b/1x1" +} +layer { + name: "inception_5b/3x3_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3_reduce" +} +layer { + name: "inception_5b/3x3" + type: "Convolution" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3" + type: "ReLU" + bottom: "inception_5b/3x3" + top: "inception_5b/3x3" +} +layer { + name: "inception_5b/5x5_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5_reduce" +} +layer { + name: "inception_5b/5x5" + type: "Convolution" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5" + type: "ReLU" + bottom: "inception_5b/5x5" + top: "inception_5b/5x5" +} +layer { + name: "inception_5b/pool" + type: "Pooling" + bottom: "inception_5a/output" + top: "inception_5b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5b/pool_proj" + type: "Convolution" + bottom: "inception_5b/pool" + top: "inception_5b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_pool_proj" + type: "ReLU" + bottom: "inception_5b/pool_proj" + top: "inception_5b/pool_proj" +} +layer { + name: "inception_5b/output" + type: "Concat" + bottom: "inception_5b/1x1" + bottom: "inception_5b/3x3" + bottom: "inception_5b/5x5" + bottom: "inception_5b/pool_proj" + top: "inception_5b/output" +} +layer { + name: "pool5/7x7_s1" + type: "Pooling" + bottom: "inception_5b/output" + top: "pool5/7x7_s1" + pooling_param { + pool: AVE + kernel_size: 7 + stride: 1 + } +} +layer { + name: "pool5/drop_7x7_s1" + type: "Dropout" + bottom: "pool5/7x7_s1" + top: "pool5/7x7_s1" + dropout_param { + dropout_ratio: 0.4 + } +} +layer { + name: "loss3/classifier-sos" + type: "InnerProduct" + bottom: "pool5/7x7_s1" + top: "loss3/classifier" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 5 + weight_filler { + type: "constant" + value: 0 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "loss3/loss3" + type: "Softmax" + bottom: "loss3/classifier" + top: "prob" +} diff --git a/24-07/caffe/deploy/21-AlexNet_SalObjSub.prototxt b/24-07/caffe/deploy/21-AlexNet_SalObjSub.prototxt new file mode 100644 index 0000000..6ab8bd7 --- /dev/null +++ b/24-07/caffe/deploy/21-AlexNet_SalObjSub.prototxt @@ -0,0 +1,226 @@ +name: "CaffeNet" +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 11 + stride: 4 + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm1" + type: LRN + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "norm1" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + group: 2 + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "pool2" + type: POOLING + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm2" + type: LRN + bottom: "pool2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv3" + type: CONVOLUTION + bottom: "norm2" + top: "conv3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + } +} +layers { + name: "relu3" + type: RELU + bottom: "conv3" + top: "conv3" +} +layers { + name: "conv4" + type: CONVOLUTION + bottom: "conv3" + top: "conv4" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + group: 2 + } +} +layers { + name: "relu4" + type: RELU + bottom: "conv4" + top: "conv4" +} +layers { + name: "conv5" + type: CONVOLUTION + bottom: "conv4" + top: "conv5" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + group: 2 + } +} +layers { + name: "relu5" + type: RELU + bottom: "conv5" + top: "conv5" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv5" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + } +} +layers { + name: "relu6" + type: RELU + bottom: "fc6" + top: "fc6" +} +layers { + name: "fc7" + type: INNER_PRODUCT + bottom: "fc6" + top: "fc7" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + } +} +layers { + name: "relu7" + type: RELU + bottom: "fc7" + top: "fc7" +} +layers { + name: "fc8_sbt" + type: INNER_PRODUCT + bottom: "fc7" + top: "fc8_sbt" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 5 + } +} +layers { + name: "prob" + type: SOFTMAX + bottom: "fc8_sbt" + top: "prob" +} diff --git a/24-07/caffe/deploy/22-VGG16_SalObjSub.prototxt b/24-07/caffe/deploy/22-VGG16_SalObjSub.prototxt new file mode 100644 index 0000000..e9d5b34 --- /dev/null +++ b/24-07/caffe/deploy/22-VGG16_SalObjSub.prototxt @@ -0,0 +1,409 @@ +name: "VGG_ILSVRC_16_layers" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + bottom: "data" + top: "conv1_1" + name: "conv1_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_1" + top: "conv1_1" + name: "relu1_1" + type: RELU +} +layers { + bottom: "conv1_1" + top: "conv1_2" + name: "conv1_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_2" + top: "conv1_2" + name: "relu1_2" + type: RELU +} +layers { + bottom: "conv1_2" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2_1" + name: "conv2_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_1" + top: "conv2_1" + name: "relu2_1" + type: RELU +} +layers { + bottom: "conv2_1" + top: "conv2_2" + name: "conv2_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_2" + top: "conv2_2" + name: "relu2_2" + type: RELU +} +layers { + bottom: "conv2_2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3_1" + name: "conv3_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_1" + top: "conv3_1" + name: "relu3_1" + type: RELU +} +layers { + bottom: "conv3_1" + top: "conv3_2" + name: "conv3_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_2" + top: "conv3_2" + name: "relu3_2" + type: RELU +} +layers { + bottom: "conv3_2" + top: "conv3_3" + name: "conv3_3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_3" + top: "conv3_3" + name: "relu3_3" + type: RELU +} +layers { + bottom: "conv3_3" + top: "pool3" + name: "pool3" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool3" + top: "conv4_1" + name: "conv4_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_1" + top: "conv4_1" + name: "relu4_1" + type: RELU +} +layers { + bottom: "conv4_1" + top: "conv4_2" + name: "conv4_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_2" + top: "conv4_2" + name: "relu4_2" + type: RELU +} +layers { + bottom: "conv4_2" + top: "conv4_3" + name: "conv4_3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_3" + top: "conv4_3" + name: "relu4_3" + type: RELU +} +layers { + bottom: "conv4_3" + top: "pool4" + name: "pool4" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool4" + top: "conv5_1" + name: "conv5_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_1" + top: "conv5_1" + name: "relu5_1" + type: RELU +} +layers { + bottom: "conv5_1" + top: "conv5_2" + name: "conv5_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_2" + top: "conv5_2" + name: "relu5_2" + type: RELU +} +layers { + bottom: "conv5_2" + top: "conv5_3" + name: "conv5_3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_3" + top: "conv5_3" + name: "relu5_3" + type: RELU +} +layers { + bottom: "conv5_3" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: INNER_PRODUCT + inner_product_param { + num_output: 4096 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8-5" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + type: INNER_PRODUCT + inner_product_param { + num_output: 5 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/23-Places_CNDS_model.prototxt b/24-07/caffe/deploy/23-Places_CNDS_model.prototxt new file mode 100644 index 0000000..bff13b0 --- /dev/null +++ b/24-07/caffe/deploy/23-Places_CNDS_model.prototxt @@ -0,0 +1,378 @@ +name: "CaffeNet" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 7 + stride: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.5 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} + +layers { + name: "conv2" + type: CONVOLUTION + bottom: "pool1" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "pool2" + type: POOLING + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} + +layers { + name: "conv3_1" + type: CONVOLUTION + bottom: "pool2" + top: "conv3_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu3_1" + type: RELU + bottom: "conv3_1" + top: "conv3_1" +} +layers { + name: "conv3_2" + type: CONVOLUTION + bottom: "conv3_1" + top: "conv3_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu3_2" + type: RELU + bottom: "conv3_2" + top: "conv3_2" +} +layers { + name: "pool3" + type: POOLING + bottom: "conv3_2" + top: "pool3" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + name: "conv4_1" + type: CONVOLUTION + bottom: "pool3" + top: "conv4_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu4_1" + type: RELU + bottom: "conv4_1" + top: "conv4_1" +} +layers { + name: "conv4_2" + type: CONVOLUTION + bottom: "conv4_1" + top: "conv4_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu4_2" + type: RELU + bottom: "conv4_2" + top: "conv4_2" +} +layers { + name: "pool4" + type: POOLING + bottom: "conv4_2" + top: "pool4" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + name: "conv5_1" + type: CONVOLUTION + bottom: "pool4" + top: "conv5_1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu5_1" + type: RELU + bottom: "conv5_1" + top: "conv5_1" +} +layers { + name: "conv5_2" + type: CONVOLUTION + bottom: "conv5_1" + top: "conv5_2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu5_2" + type: RELU + bottom: "conv5_2" + top: "conv5_2" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv5_2" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} + +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu6" + type: RELU + bottom: "fc6" + top: "fc6" +} +layers { + name: "drop6" + type: DROPOUT + bottom: "fc6" + top: "fc6" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc7" + type: INNER_PRODUCT + bottom: "fc6" + top: "fc7" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu7" + type: RELU + bottom: "fc7" + top: "fc7" +} +layers { + name: "drop7" + type: DROPOUT + bottom: "fc7" + top: "fc7" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc8" + type: INNER_PRODUCT + bottom: "fc7" + top: "fc8" + inner_product_param { + num_output: 205 + } +} diff --git a/24-07/caffe/deploy/24-deploy_age.prototxt b/24-07/caffe/deploy/24-deploy_age.prototxt new file mode 100644 index 0000000..5fcfff3 --- /dev/null +++ b/24-07/caffe/deploy/24-deploy_age.prototxt @@ -0,0 +1,175 @@ +name: "CaffeNet" +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 4 + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm1" + type: LRN + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "norm1" + top: "conv2" + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "pool2" + type: POOLING + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm2" + type: LRN + bottom: "pool2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv3" + type: CONVOLUTION + bottom: "norm2" + top: "conv3" + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + } +} +layers{ + name: "relu3" + type: RELU + bottom: "conv3" + top: "conv3" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv3" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + inner_product_param { + num_output: 512 + } +} +layers { + name: "relu6" + type: RELU + bottom: "fc6" + top: "fc6" +} +layers { + name: "drop6" + type: DROPOUT + bottom: "fc6" + top: "fc6" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc7" + type: INNER_PRODUCT + bottom: "fc6" + top: "fc7" + inner_product_param { + num_output: 512 + } +} +layers { + name: "relu7" + type: RELU + bottom: "fc7" + top: "fc7" +} +layers { + name: "drop7" + type: DROPOUT + bottom: "fc7" + top: "fc7" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc8" + type: INNER_PRODUCT + bottom: "fc7" + top: "fc8" + inner_product_param { + num_output: 8 + } +} +layers { + name: "prob" + type: SOFTMAX + bottom: "fc8" + top: "prob" +} diff --git a/24-07/caffe/deploy/25-deploy_gender.prototxt b/24-07/caffe/deploy/25-deploy_gender.prototxt new file mode 100644 index 0000000..4d4760f --- /dev/null +++ b/24-07/caffe/deploy/25-deploy_gender.prototxt @@ -0,0 +1,175 @@ +name: "CaffeNet" +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 4 + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "pool1" + type: POOLING + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm1" + type: LRN + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "norm1" + top: "conv2" + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "pool2" + type: POOLING + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm2" + type: LRN + bottom: "pool2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "conv3" + type: CONVOLUTION + bottom: "norm2" + top: "conv3" + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + } +} +layers{ + name: "relu3" + type: RELU + bottom: "conv3" + top: "conv3" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv3" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + inner_product_param { + num_output: 512 + } +} +layers { + name: "relu6" + type: RELU + bottom: "fc6" + top: "fc6" +} +layers { + name: "drop6" + type: DROPOUT + bottom: "fc6" + top: "fc6" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc7" + type: INNER_PRODUCT + bottom: "fc6" + top: "fc7" + inner_product_param { + num_output: 512 + } +} +layers { + name: "relu7" + type: RELU + bottom: "fc7" + top: "fc7" +} +layers { + name: "drop7" + type: DROPOUT + bottom: "fc7" + top: "fc7" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "fc8" + type: INNER_PRODUCT + bottom: "fc7" + top: "fc8" + inner_product_param { + num_output: 2 + } +} +layers { + name: "prob" + type: SOFTMAX + bottom: "fc8" + top: "prob" +} diff --git a/24-07/caffe/deploy/26-GoogLeNet_cars.prototxt b/24-07/caffe/deploy/26-GoogLeNet_cars.prototxt new file mode 100644 index 0000000..5858b39 --- /dev/null +++ b/24-07/caffe/deploy/26-GoogLeNet_cars.prototxt @@ -0,0 +1,2120 @@ +name: "GoogleNet" + +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 + +# hierarchy 1 +# conv -> relu -> pool -> lrn +# =========================== +layers { + bottom: "data" + top: "conv1" + name: "conv1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "conv1" + top: "conv1" + name: "relu1" + type: RELU +} +layers { + bottom: "conv1" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "norm1" + name: "norm1" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} + +# hierarchy 2 +# conv -> relu -> conv -> relu -> lrn -> pool +# =========================================== +layers { + bottom: "norm1" + top: "conv2_1x1" + name: "conv2_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "conv2_1x1" + top: "conv2_1x1" + name: "relu_conv2_1x1" + type: RELU +} +layers { + bottom: "conv2_1x1" + top: "conv2_3x3" + name: "conv2_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "conv2_3x3" + top: "conv2_3x3" + name: "relu2_3x3" + type: RELU +} +layers { + bottom: "conv2_3x3" + top: "norm2" + name: "norm2" + type: LRN + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + bottom: "norm2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} + +# ================== hierarchy 3(a) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "pool2" + top: "inception_3a_1x1" + name: "inception_3a_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3a_1x1" + top: "inception_3a_1x1" + name: "relu_inception_3a_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "pool2" + top: "inception_3a_3x3_reduce" + name: "inception_3a_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3a_3x3_reduce" + top: "inception_3a_3x3_reduce" + name: "reulu_inception_3a_3x3_reduce" + type: RELU +} + +layers { + bottom: "inception_3a_3x3_reduce" + top: "inception_3a_3x3" + name: "inception_3a_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3a_3x3" + top: "inception_3a_3x3" + name: "relu_inception_3a_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "pool2" + top: "inception_3a_5x5_reduce" + name: "inception_3a_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3a_5x5_reduce" + top: "inception_3a_5x5_reduce" + name: "relu_inception_3a_5x5_reduce" + type: RELU +} + +layers { + bottom: "inception_3a_5x5_reduce" + top: "inception_3a_5x5" + name: "inception_3a_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3a_5x5" + top: "inception_3a_5x5" + name: "relu_inception_3a_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "pool2" + top: "inception_3a_pool" + name: "inception_3a_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_3a_pool" + top: "inception_3a_pool_proj" + name: "inception_3a_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3a_pool_proj" + top: "inception_3a_pool_proj" + name: "relu_inception_3a_pool_proj" + type: RELU +} + +# concatenate all +# --------------- +layers { + bottom: "inception_3a_1x1" + bottom: "inception_3a_3x3" + bottom: "inception_3a_5x5" + bottom: "inception_3a_pool_proj" + top: "inception_3a_output" + name: "inception_3a_output" + type: CONCAT +} + +# ================== hierarchy 3(b) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "inception_3a_output" + top: "inception_3b_1x1" + name: "inception_3b_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3b_1x1" + top: "inception_3b_1x1" + name: "relu_inception_3b_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "inception_3a_output" + top: "inception_3b_3x3_reduce" + name: "inception_3b_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3b_3x3_reduce" + top: "inception_3b_3x3_reduce" + name: "relu_inception_3b_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_3b_3x3_reduce" + top: "inception_3b_3x3" + name: "inception_3b_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3b_3x3" + top: "inception_3b_3x3" + name: "relu_inception_3b_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "inception_3a_output" + top: "inception_3b_5x5_reduce" + name: "inception_3b_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3b_5x5_reduce" + top: "inception_3b_5x5_reduce" + name: "relu_inception_3b_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_3b_5x5_reduce" + top: "inception_3b_5x5" + name: "inception_3b_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3b_5x5" + top: "inception_3b_5x5" + name: "relu_inception_3b_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "inception_3a_output" + top: "inception_3b_pool" + name: "inception_3b_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_3b_pool" + top: "inception_3b_pool_proj" + name: "inception_3b_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_3b_pool_proj" + top: "inception_3b_pool_proj" + name: "relu_inception_3b_pool_proj" + type: RELU +} + +# concatenate all +# --------------- +layers { + bottom: "inception_3b_1x1" + bottom: "inception_3b_3x3" + bottom: "inception_3b_5x5" + bottom: "inception_3b_pool_proj" + top: "inception_3b_output" + name: "inception_3b_output" + type: CONCAT +} + +layers { + bottom: "inception_3b_output" + top: "pool3" + name: "pool3" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} + + +# ================== hierarchy 4(a) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "pool3" + top: "inception_4a_1x1" + name: "inception_4a_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4a_1x1" + top: "inception_4a_1x1" + name: "relu_inception_4a_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "pool3" + top: "inception_4a_3x3_reduce" + name: "inception_4a_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4a_3x3_reduce" + top: "inception_4a_3x3_reduce" + name: "relu_inception_4a_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_4a_3x3_reduce" + top: "inception_4a_3x3" + name: "inception_4a_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4a_3x3" + top: "inception_4a_3x3" + name: "relu_inception_4a_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "pool3" + top: "inception_4a_5x5_reduce" + name: "inception_4a_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4a_5x5_reduce" + top: "inception_4a_5x5_reduce" + name: "relu_inception_4a_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_4a_5x5_reduce" + top: "inception_4a_5x5" + name: "inception_4a_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4a_5x5" + top: "inception_4a_5x5" + name: "relu_inception_4a_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "pool3" + top: "inception_4a_pool" + name: "inception_4a_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_4a_pool" + top: "inception_4a_pool_proj" + name: "inception_4a_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4a_pool_proj" + top: "inception_4a_pool_proj" + name: "relu_inception_4a_pool_proj" + type: RELU +} + +# concatenate all +# --------------- +layers { + bottom: "inception_4a_1x1" + bottom: "inception_4a_3x3" + bottom: "inception_4a_5x5" + bottom: "inception_4a_pool_proj" + top: "inception_4a_output" + name: "inception_4a_output" + type: CONCAT +} + + + + + + +# ================== hierarchy 4(b) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "inception_4a_output" + top: "inception_4b_1x1" + name: "inception_4b_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4b_1x1" + top: "inception_4b_1x1" + name: "inception_4b_relu_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "inception_4a_output" + top: "inception_4b_3x3_reduce" + name: "inception_4b_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4b_3x3_reduce" + top: "inception_4b_3x3_reduce" + name: "inception_4b_relu_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_4b_3x3_reduce" + top: "inception_4b_3x3" + name: "inception_4b_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4b_3x3" + top: "inception_4b_3x3" + name: "inception_4b_relu_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "inception_4a_output" + top: "inception_4b_5x5_reduce" + name: "inception_4b_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4b_5x5_reduce" + top: "inception_4b_5x5_reduce" + name: "inception_4b_relu_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_4b_5x5_reduce" + top: "inception_4b_5x5" + name: "inception_4b_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4b_5x5" + top: "inception_4b_5x5" + name: "inception_4b_relu_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "inception_4a_output" + top: "inception_4b_pool" + name: "inception_4b_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_4b_pool" + top: "inception_4b_pool_proj" + name: "inception_4b_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4b_pool_proj" + top: "inception_4b_pool_proj" + name: "inception_4b_relu_pool_proj" + type: RELU +} + +# concatenate all +# --------------- +layers { + bottom: "inception_4b_1x1" + bottom: "inception_4b_3x3" + bottom: "inception_4b_5x5" + bottom: "inception_4b_pool_proj" + top: "inception_4b_output" + name: "inception_4b_output" + type: CONCAT +} + +# ================== hierarchy 4(c) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "inception_4b_output" + top: "inception_4c_1x1" + name: "inception_4c_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4c_1x1" + top: "inception_4c_1x1" + name: "inception_4c_relu_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "inception_4b_output" + top: "inception_4c_3x3_reduce" + name: "inception_4c_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4c_3x3_reduce" + top: "inception_4c_3x3_reduce" + name: "inception_4c_relu_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_4c_3x3_reduce" + top: "inception_4c_3x3" + name: "inception_4c_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4c_3x3" + top: "inception_4c_3x3" + name: "inception_4c_relu_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "inception_4b_output" + top: "inception_4c_5x5_reduce" + name: "inception_4c_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4c_5x5_reduce" + top: "inception_4c_5x5_reduce" + name: "inception_4c_relu_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_4c_5x5_reduce" + top: "inception_4c_5x5" + name: "inception_4c_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4c_5x5" + top: "inception_4c_5x5" + name: "inception_4c_relu_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "inception_4b_output" + top: "inception_4c_pool" + name: "inception_4c_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_4c_pool" + top: "inception_4c_pool_proj" + name: "inception_4c_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4c_pool_proj" + top: "inception_4c_pool_proj" + name: "inception_4c_relu_pool_proj" + type: RELU +} + +# concatenate them all +# -------------------- +layers { + bottom: "inception_4c_1x1" + bottom: "inception_4c_3x3" + bottom: "inception_4c_5x5" + bottom: "inception_4c_pool_proj" + top: "inception_4c_output" + name: "inception_4c_output" + type: CONCAT +} + +# ================== hierarchy 4(d) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "inception_4c_output" + top: "inception_4d_1x1" + name: "inception_4d_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4d_1x1" + top: "inception_4d_1x1" + name: "inception_4d_relu_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "inception_4c_output" + top: "inception_4d_3x3_reduce" + name: "inception_4d_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 144 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4d_3x3_reduce" + top: "inception_4d_3x3_reduce" + name: "inception_4d_relu_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_4d_3x3_reduce" + top: "inception_4d_3x3" + name: "inception_4d_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4d_3x3" + top: "inception_4d_3x3" + name: "inception_4d_relu_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "inception_4c_output" + top: "inception_4d_5x5_reduce" + name: "inception_4d_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4d_5x5_reduce" + top: "inception_4d_5x5_reduce" + name: "inception_4d_relu_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_4d_5x5_reduce" + top: "inception_4d_5x5" + name: "inception_4d_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4d_5x5" + top: "inception_4d_5x5" + name: "inception_4d_relu_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "inception_4c_output" + top: "inception_4d_pool" + name: "inception_4d_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_4d_pool" + top: "inception_4d_pool_proj" + name: "inception_4d_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4d_pool_proj" + top: "inception_4d_pool_proj" + name: "inception_4d_relu_pool_proj" + type: RELU +} + +# concatenate them all +# -------------------- +layers { + bottom: "inception_4d_1x1" + bottom: "inception_4d_3x3" + bottom: "inception_4d_5x5" + bottom: "inception_4d_pool_proj" + top: "inception_4d_output" + name: "inception_4d_output" + type: CONCAT +} + + + + + + +# ================== hierarchy 4(e) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "inception_4d_output" + top: "inception_4e_1x1" + name: "inception_4e_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4e_1x1" + top: "inception_4e_1x1" + name: "inception_4e_relu_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "inception_4d_output" + top: "inception_4e_3x3_reduce" + name: "inception_4e_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4e_3x3_reduce" + top: "inception_4e_3x3_reduce" + name: "inception_4e_relu_3x3_reduce" + type: RELU +} + +layers { + bottom: "inception_4e_3x3_reduce" + top: "inception_4e_3x3" + name: "inception_4e_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4e_3x3" + top: "inception_4e_3x3" + name: "inception_4e_relu_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "inception_4d_output" + top: "inception_4e_5x5_reduce" + name: "inception_4e_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4e_5x5_reduce" + top: "inception_4e_5x5_reduce" + name: "inception_4e_relu_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_4e_5x5_reduce" + top: "inception_4e_5x5" + name: "inception_4e_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4e_5x5" + top: "inception_4e_5x5" + name: "inception_4e_relu_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "inception_4d_output" + top: "inception_4e_pool" + name: "inception_4e_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_4e_pool" + top: "inception_4e_pool_proj" + name: "inception_4e_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_4e_pool_proj" + top: "inception_4e_pool_proj" + name: "inception_4e_relu_pool_proj" + type: RELU +} + +# concatenate them all +# -------------------- +layers { + bottom: "inception_4e_1x1" + bottom: "inception_4e_3x3" + bottom: "inception_4e_5x5" + bottom: "inception_4e_pool_proj" + top: "inception_4e_output" + name: "inception_4e_output" + type: CONCAT +} + + +layers { + bottom: "inception_4e_output" + top: "pool4" + name: "pool4" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} + + +# ================== hierarchy 5(a) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "pool4" + top: "inception_5a_1x1" + name: "inception_5a_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5a_1x1" + top: "inception_5a_1x1" + name: "inception_5a_relu_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "pool4" + top: "inception_5a_3x3_reduce" + name: "inception_5a_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5a_3x3_reduce" + top: "inception_5a_3x3_reduce" + name: "inception_5a_relu_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_5a_3x3_reduce" + top: "inception_5a_3x3" + name: "inception_5a_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5a_3x3" + top: "inception_5a_3x3" + name: "inception_5a_relu_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "pool4" + top: "inception_5a_5x5_reduce" + name: "inception_5a_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5a_5x5_reduce" + top: "inception_5a_5x5_reduce" + name: "inception_5a_relu_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_5a_5x5_reduce" + top: "inception_5a_5x5" + name: "inception_5a_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5a_5x5" + top: "inception_5a_5x5" + name: "inception_5a_relu_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "pool4" + top: "inception_5a_pool" + name: "inception_5a_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_5a_pool" + top: "inception_5a_pool_proj" + name: "inception_5a_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5a_pool_proj" + top: "inception_5a_pool_proj" + name: "inception_5a_relu_pool_proj" + type: RELU +} + +# concatenate them all +# -------------------- +layers { + bottom: "inception_5a_1x1" + bottom: "inception_5a_3x3" + bottom: "inception_5a_5x5" + bottom: "inception_5a_pool_proj" + top: "inception_5a_output" + name: "inception_5a_output" + type: CONCAT +} + +# ================== hierarchy 5(b) ================== +# ==================================================== + +# conv 1 x 1 +# ---------- +layers { + bottom: "inception_5a_output" + top: "inception_5b_1x1" + name: "inception_5b_1x1" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5b_1x1" + top: "inception_5b_1x1" + name: "inception_5b_relu_1x1" + type: RELU +} + +# conv 3 x 3 +# ---------- +layers { + bottom: "inception_5a_output" + top: "inception_5b_3x3_reduce" + name: "inception_5b_3x3_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5b_3x3_reduce" + top: "inception_5b_3x3_reduce" + name: "inception_5b_relu_3x3_reduce" + type: RELU +} +layers { + bottom: "inception_5b_3x3_reduce" + top: "inception_5b_3x3" + name: "inception_5b_3x3" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5b_3x3" + top: "inception_5b_3x3" + name: "inception_5b_relu_3x3" + type: RELU +} + +# conv 5 x 5 +# ---------- +layers { + bottom: "inception_5a_output" + top: "inception_5b_5x5_reduce" + name: "inception_5b_5x5_reduce" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 48 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5b_5x5_reduce" + top: "inception_5b_5x5_reduce" + name: "inception_5b_relu_5x5_reduce" + type: RELU +} +layers { + bottom: "inception_5b_5x5_reduce" + top: "inception_5b_5x5" + name: "inception_5b_5x5" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5b_5x5" + top: "inception_5b_5x5" + name: "inception_5b_relu_5x5" + type: RELU +} + +# pool 3 x 3 +# ---------- +layers { + bottom: "inception_5a_output" + top: "inception_5b_pool" + name: "inception_5b_pool" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layers { + bottom: "inception_5b_pool" + top: "inception_5b_pool_proj" + name: "inception_5b_pool_proj" + type: CONVOLUTION + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layers { + bottom: "inception_5b_pool_proj" + top: "inception_5b_pool_proj" + name: "inception_5b_relu_pool_proj" + type: RELU +} + +# concatenate them all +# -------------------- +layers { + bottom: "inception_5b_1x1" + bottom: "inception_5b_3x3" + bottom: "inception_5b_5x5" + bottom: "inception_5b_pool_proj" + top: "inception_5b_output" + name: "inception_5b_output" + type: CONCAT +} + + +# ===================== softmax 2 ==================== +# ==================================================== +# ave_pool -> droput -> fc -> loss, accuracy + +layers { + bottom: "inception_5b_output" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: AVE + kernel_size: 7 + stride: 1 + } +} +layers { + bottom: "pool5" + top: "pool5" + name: "pool5_drop" + type: DROPOUT + dropout_param { + dropout_ratio: 0.4 + } +} +layers { + bottom: "pool5" + top: "loss3_classifier_model" + name: "loss3_classifier_model" + type: INNER_PRODUCT + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 431 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} + +layers { + name: "prob" + type: SOFTMAX + bottom: "loss3_classifier_model" + top: "prob" +} diff --git a/24-07/caffe/deploy/27-VGG_ILSVRC_16_layers_fc_reduced.prototxt b/24-07/caffe/deploy/27-VGG_ILSVRC_16_layers_fc_reduced.prototxt new file mode 100644 index 0000000..3528189 --- /dev/null +++ b/24-07/caffe/deploy/27-VGG_ILSVRC_16_layers_fc_reduced.prototxt @@ -0,0 +1,350 @@ +name: "VGG_ILSVRC_16_layers_fc_reduced" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 500 +input_dim: 500 +layers { + bottom: "data" + top: "conv1_1" + name: "conv1_1" + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_1" + top: "conv1_1" + name: "relu1_1" + type: RELU +} +layers { + bottom: "conv1_1" + top: "conv1_2" + name: "conv1_2" + type: CONVOLUTION + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv1_2" + top: "conv1_2" + name: "relu1_2" + type: RELU +} +layers { + bottom: "conv1_2" + top: "pool1" + name: "pool1" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool1" + top: "conv2_1" + name: "conv2_1" + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_1" + top: "conv2_1" + name: "relu2_1" + type: RELU +} +layers { + bottom: "conv2_1" + top: "conv2_2" + name: "conv2_2" + type: CONVOLUTION + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv2_2" + top: "conv2_2" + name: "relu2_2" + type: RELU +} +layers { + bottom: "conv2_2" + top: "pool2" + name: "pool2" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool2" + top: "conv3_1" + name: "conv3_1" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_1" + top: "conv3_1" + name: "relu3_1" + type: RELU +} +layers { + bottom: "conv3_1" + top: "conv3_2" + name: "conv3_2" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_2" + top: "conv3_2" + name: "relu3_2" + type: RELU +} +layers { + bottom: "conv3_2" + top: "conv3_3" + name: "conv3_3" + type: CONVOLUTION + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv3_3" + top: "conv3_3" + name: "relu3_3" + type: RELU +} +layers { + bottom: "conv3_3" + top: "pool3" + name: "pool3" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool3" + top: "conv4_1" + name: "conv4_1" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_1" + top: "conv4_1" + name: "relu4_1" + type: RELU +} +layers { + bottom: "conv4_1" + top: "conv4_2" + name: "conv4_2" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_2" + top: "conv4_2" + name: "relu4_2" + type: RELU +} +layers { + bottom: "conv4_2" + top: "conv4_3" + name: "conv4_3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv4_3" + top: "conv4_3" + name: "relu4_3" + type: RELU +} +layers { + bottom: "conv4_3" + top: "pool4" + name: "pool4" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool4" + top: "conv5_1" + name: "conv5_1" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_1" + top: "conv5_1" + name: "relu5_1" + type: RELU +} +layers { + bottom: "conv5_1" + top: "conv5_2" + name: "conv5_2" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_2" + top: "conv5_2" + name: "relu5_2" + type: RELU +} +layers { + bottom: "conv5_2" + top: "conv5_3" + name: "conv5_3" + type: CONVOLUTION + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layers { + bottom: "conv5_3" + top: "conv5_3" + name: "relu5_3" + type: RELU +} +layers { + bottom: "conv5_3" + top: "pool5" + name: "pool5" + type: POOLING + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: CONVOLUTION + convolution_param { + num_output: 1024 + kernel_size: 3 + dilation: 3 + pad: 3 + } +} +layers { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: RELU +} +layers { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: CONVOLUTION + convolution_param { + num_output: 1024 + kernel_size: 1 + } +} +layers { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: RELU +} +layers { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: DROPOUT + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: CONVOLUTION + convolution_param { + num_output: 1000 + kernel_size: 1 + } +} +layers { + bottom: "fc8" + top: "prob" + name: "prob" + type: SOFTMAX +} diff --git a/24-07/caffe/deploy/28-hed_pretrained_bsds.prototxt b/24-07/caffe/deploy/28-hed_pretrained_bsds.prototxt new file mode 100644 index 0000000..21a4866 --- /dev/null +++ b/24-07/caffe/deploy/28-hed_pretrained_bsds.prototxt @@ -0,0 +1,129 @@ +name: "FCN" + +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 500 +input_dim: 500 + +layer { bottom: 'data' top: 'conv1_1' name: 'conv1_1' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 64 pad: 35 kernel_size: 3 } } +layer { bottom: 'conv1_1' top: 'conv1_1' name: 'relu1_1' type: "ReLU" } +layer { bottom: 'conv1_1' top: 'conv1_2' name: 'conv1_2' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 64 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv1_2' top: 'conv1_2' name: 'relu1_2' type: "ReLU" } +layer { name: 'pool1' bottom: 'conv1_2' top: 'pool1' type: "Pooling" + pooling_param { pool: MAX kernel_size: 2 stride: 2 } } + +layer { name: 'conv2_1' bottom: 'pool1' top: 'conv2_1' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 128 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv2_1' top: 'conv2_1' name: 'relu2_1' type: "ReLU" } +layer { bottom: 'conv2_1' top: 'conv2_2' name: 'conv2_2' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 128 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv2_2' top: 'conv2_2' name: 'relu2_2' type: "ReLU" } +layer { bottom: 'conv2_2' top: 'pool2' name: 'pool2' type: "Pooling" + pooling_param { pool: MAX kernel_size: 2 stride: 2 } } + +layer { bottom: 'pool2' top: 'conv3_1' name: 'conv3_1' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 256 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv3_1' top: 'conv3_1' name: 'relu3_1' type: "ReLU" } +layer { bottom: 'conv3_1' top: 'conv3_2' name: 'conv3_2' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 256 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv3_2' top: 'conv3_2' name: 'relu3_2' type: "ReLU" } +layer { bottom: 'conv3_2' top: 'conv3_3' name: 'conv3_3' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 256 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv3_3' top: 'conv3_3' name: 'relu3_3' type: "ReLU" } +layer { bottom: 'conv3_3' top: 'pool3' name: 'pool3' type: "Pooling" + pooling_param { pool: MAX kernel_size: 2 stride: 2 } } + +layer { bottom: 'pool3' top: 'conv4_1' name: 'conv4_1' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv4_1' top: 'conv4_1' name: 'relu4_1' type: "ReLU" } +layer { bottom: 'conv4_1' top: 'conv4_2' name: 'conv4_2' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv4_2' top: 'conv4_2' name: 'relu4_2' type: "ReLU" } +layer { bottom: 'conv4_2' top: 'conv4_3' name: 'conv4_3' type: "Convolution" + param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv4_3' top: 'conv4_3' name: 'relu4_3' type: "ReLU" } +layer { bottom: 'conv4_3' top: 'pool4' name: 'pool4' type: "Pooling" + pooling_param { pool: MAX kernel_size: 2 stride: 2 } } + +layer { bottom: 'pool4' top: 'conv5_1' name: 'conv5_1' type: "Convolution" + param { lr_mult: 100 decay_mult: 1 } param { lr_mult: 200 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv5_1' top: 'conv5_1' name: 'relu5_1' type: "ReLU" } +layer { bottom: 'conv5_1' top: 'conv5_2' name: 'conv5_2' type: "Convolution" + param { lr_mult: 100 decay_mult: 1 } param { lr_mult: 200 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv5_2' top: 'conv5_2' name: 'relu5_2' type: "ReLU" } +layer { bottom: 'conv5_2' top: 'conv5_3' name: 'conv5_3' type: "Convolution" + param { lr_mult: 100 decay_mult: 1 } param { lr_mult: 200 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } } +layer { bottom: 'conv5_3' top: 'conv5_3' name: 'relu5_3' type: "ReLU" } + +## DSN conv 1 ### +layer { name: 'score-dsn1' type: "Convolution" bottom: 'conv1_2' top: 'score-dsn1-up' + param { lr_mult: 0.01 decay_mult: 1 } param { lr_mult: 0.02 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 1 kernel_size: 1 } } +layer { type: "Crop" name: 'crop' bottom: 'score-dsn1-up' bottom: 'data' top: 'upscore-dsn1' } +layer { type: "Sigmoid" name: "sigmoid-dsn1" bottom: "upscore-dsn1" top:"sigmoid-dsn1"} + +### DSN conv 2 ### +layer { name: 'score-dsn2' type: "Convolution" bottom: 'conv2_2' top: 'score-dsn2' + param { lr_mult: 0.01 decay_mult: 1 } param { lr_mult: 0.02 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 1 kernel_size: 1 } } +layer { type: "Deconvolution" name: 'upsample_2' bottom: 'score-dsn2' top: 'score-dsn2-up' + param { lr_mult: 0 decay_mult: 1 } param { lr_mult: 0 decay_mult: 0} + convolution_param { kernel_size: 4 stride: 2 num_output: 1 } } +layer { type: "Crop" name: 'crop' bottom: 'score-dsn2-up' bottom: 'data' top: 'upscore-dsn2' } +layer { type: "Sigmoid" name: "sigmoid-dsn2" bottom: "upscore-dsn2" top:"sigmoid-dsn2"} + +### DSN conv 3 ### +layer { name: 'score-dsn3' type: "Convolution" bottom: 'conv3_3' top: 'score-dsn3' + param { lr_mult: 0.01 decay_mult: 1 } param { lr_mult: 0.02 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 1 kernel_size: 1 } } +layer { type: "Deconvolution" name: 'upsample_4' bottom: 'score-dsn3' top: 'score-dsn3-up' + param { lr_mult: 0 decay_mult: 1 } param { lr_mult: 0 decay_mult: 0} + convolution_param { kernel_size: 8 stride: 4 num_output: 1 } } +layer { type: "Crop" name: 'crop' bottom: 'score-dsn3-up' bottom: 'data' top: 'upscore-dsn3' } +layer { type: "Sigmoid" name: "sigmoid-dsn3" bottom: "upscore-dsn3" top:"sigmoid-dsn3"} + +###DSN conv 4### +layer { name: 'score-dsn4' type: "Convolution" bottom: 'conv4_3' top: 'score-dsn4' + param { lr_mult: 0.01 decay_mult: 1 } param { lr_mult: 0.02 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 1 kernel_size: 1 } } +layer { type: "Deconvolution" name: 'upsample_8' bottom: 'score-dsn4' top: 'score-dsn4-up' + param { lr_mult: 0 decay_mult: 1 } param { lr_mult: 0 decay_mult: 0} + convolution_param { kernel_size: 16 stride: 8 num_output: 1 } } +layer { type: "Crop" name: 'crop' bottom: 'score-dsn4-up' bottom: 'data' top: 'upscore-dsn4' } +layer { type: "Sigmoid" name: "sigmoid-dsn4" bottom: "upscore-dsn4" top:"sigmoid-dsn4"} + +###DSN conv 5### +layer { name: 'score-dsn5' type: "Convolution" bottom: 'conv5_3' top: 'score-dsn5' + param { lr_mult: 0.01 decay_mult: 1 } param { lr_mult: 0.02 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 1 kernel_size: 1 } } +layer { type: "Deconvolution" name: 'upsample_16' bottom: 'score-dsn5' top: 'score-dsn5-up' + param { lr_mult: 0 decay_mult: 1 } param { lr_mult: 0 decay_mult: 0} + convolution_param { kernel_size: 32 stride: 16 num_output: 1 } } +layer { type: "Crop" name: 'crop' bottom: 'score-dsn5-up' bottom: 'data' top: 'upscore-dsn5' } +layer { type: "Sigmoid" name: "sigmoid-dsn5" bottom: "upscore-dsn5" top:"sigmoid-dsn5"} + +### Concat and multiscale weight layer ### +layer { name: "concat" bottom: "upscore-dsn1" bottom: "upscore-dsn2" bottom: "upscore-dsn3" + bottom: "upscore-dsn4" bottom: "upscore-dsn5" top: "concat-upscore" type: "Concat" + concat_param { concat_dim: 1} } +layer { name: 'new-score-weighting' type: "Convolution" bottom: 'concat-upscore' top: 'upscore-fuse' + param { lr_mult: 0.01 decay_mult: 1 } param { lr_mult: 0.02 decay_mult: 0} + convolution_param { engine: CAFFE num_output: 1 kernel_size: 1 weight_filler {type: "constant" value: 0.2} } } +layer { type: "Sigmoid" name: "sigmoid-fuse" bottom: "upscore-fuse" top:"sigmoid-fuse"} + diff --git a/24-07/caffe/deploy/29-Emotion_Classification_CNN.prototxt b/24-07/caffe/deploy/29-Emotion_Classification_CNN.prototxt new file mode 100644 index 0000000..d0ea52e --- /dev/null +++ b/24-07/caffe/deploy/29-Emotion_Classification_CNN.prototxt @@ -0,0 +1,288 @@ +name: "CaffeNet" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "norm1" + type: LRN + bottom: "conv1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0005 + beta: 0.75 + } +} +layers { + name: "pool1" + type: POOLING + bottom: "norm1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 3 + } +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "pool1" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "pool2" + type: POOLING + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layers { + name: "conv3" + type: CONVOLUTION + bottom: "pool2" + top: "conv3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu3" + type: RELU + bottom: "conv3" + top: "conv3" +} +layers { + name: "conv4" + type: CONVOLUTION + bottom: "conv3" + top: "conv4" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu4" + type: RELU + bottom: "conv4" + top: "conv4" +} +layers { + name: "conv5" + type: CONVOLUTION + bottom: "conv4" + top: "conv5" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu5" + type: RELU + bottom: "conv5" + top: "conv5" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv5" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 3 + } +} +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4048 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu6" + type: RELU + bottom: "fc6" + top: "fc6" +} +layers { + name: "drop6" + type: DROPOUT + bottom: "fc6" + top: "fc6" + dropout_param { + dropout_ratio: 0.7 + } +} +layers { + name: "fc7" + type: INNER_PRODUCT + bottom: "fc6" + top: "fc7" + blobs_lr: 9 + blobs_lr: 18 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4048 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu7" + type: RELU + bottom: "fc7" + top: "fc7" +} +layers { + name: "drop7" + type: DROPOUT + bottom: "fc7" + top: "fc7" + dropout_param { + dropout_ratio: 0.7 + } +} +layers { + name: "fc8_cat" + type: INNER_PRODUCT + bottom: "fc7" + top: "fc8" + blobs_lr: 12 + blobs_lr: 24 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 7 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} diff --git a/24-07/caffe/deploy/30-vanillaCNN.prototxt b/24-07/caffe/deploy/30-vanillaCNN.prototxt new file mode 100644 index 0000000..a9bc417 --- /dev/null +++ b/24-07/caffe/deploy/30-vanillaCNN.prototxt @@ -0,0 +1,291 @@ +name: "vanila" +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 40 +input_dim: 40 +######################################## +# the actual net +# layer 1 +layer { + name: "Conv1" + type: "Convolution" + bottom: "data" + top: "Conv1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + name: "ActivationTangH1" + bottom: "Conv1" + top: "ActivationTangH1" + type: "TanH" +} + +layer { + name: "ActivationAbs1" + bottom: "ActivationTangH1" + top: "Abs1" + type: "AbsVal" +} + +layer { + name: "Pool1" + type: "Pooling" + bottom: "Abs1" + top: "Pool1" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} + +layer { + name: "Conv2" + type: "Convolution" + bottom: "Pool1" + top: "Conv2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + pad: 1 + kernel_size: 3 + stride: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + name: "ActivationTangH2" + bottom: "Conv2" + top: "ActivationTangH2" + type: "TanH" +} + +layer { + name: "ActivationAbs2" + bottom: "ActivationTangH2" + top: "Abs2" + type: "AbsVal" +} + + +layer { + name: "Pool2" + type: "Pooling" + bottom: "Abs2" + top: "Pool2" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} + +# layer 3 +layer { + name: "Conv3" + type: "Convolution" + bottom: "Pool2" + top: "Conv3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + stride: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + + +layer { + name: "ActivationTangH3" + bottom: "Conv3" + top: "ActivationTangH3" + type: "TanH" +} + +layer { + name: "ActivationAbs3" + bottom: "ActivationTangH3" + top: "Abs3" + type: "AbsVal" +} + +layer { + name: "Pool3" + type: "Pooling" + bottom: "Abs3" + top: "Pool3" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} + +# layer 4 +layer { + name: "Conv4" + type: "Convolution" + bottom: "Pool3" + top: "Conv4" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 2 + stride: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + + +layer { + name: "ActivationTangH4" + bottom: "Conv4" + top: "ActivationTangH4" + type: "TanH" +} + +layer { + name: "ActivationAbs4" + bottom: "ActivationTangH4" + top: "Abs4" + type: "AbsVal" +} + + +######################################## + +layer { + name: "Dense1" + type: "InnerProduct" + bottom: "Abs4" + top: "Dense1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 100 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} + + +layer { + name: "ActivationTangH5" + bottom: "Dense1" + top: "ActivationTangH5" + type: "TanH" +} + +layer { + name: "ActivationAbs5" + bottom: "ActivationTangH5" + top: "Abs5" + type: "AbsVal" +} + + +layer { + name: "Dense2" + type: "InnerProduct" + bottom: "Abs5" + top: "Dense2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 10 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} + diff --git a/24-07/caffe/deploy/31-Pascal_VOC.prototxt b/24-07/caffe/deploy/31-Pascal_VOC.prototxt new file mode 100644 index 0000000..c7aae1c --- /dev/null +++ b/24-07/caffe/deploy/31-Pascal_VOC.prototxt @@ -0,0 +1,357 @@ +name: "VocNet" +input: "data" +input_shape { + dim: 1 + dim: 3 + dim: 227 + dim: 227 +} + +layer { + name: "conv1" + type: "Convolution" + bottom: "data" + top: "conv1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu1" + type: "ReLU" + bottom: "conv1" + top: "conv1" +} +layer { + name: "pool1" + type: "Pooling" + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "norm1" + type: "LRN" + bottom: "pool1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "conv2" + type: "Convolution" + bottom: "norm1" + top: "conv2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layer { + name: "relu2" + type: "ReLU" + bottom: "conv2" + top: "conv2" +} +layer { + name: "pool2" + type: "Pooling" + bottom: "conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "norm2" + type: "LRN" + bottom: "pool2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "conv3" + type: "Convolution" + bottom: "norm2" + top: "conv3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu3" + type: "ReLU" + bottom: "conv3" + top: "conv3" +} +layer { + name: "conv4" + type: "Convolution" + bottom: "conv3" + top: "conv4" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layer { + name: "relu4" + type: "ReLU" + bottom: "conv4" + top: "conv4" +} +layer { + name: "conv5" + type: "Convolution" + bottom: "conv4" + top: "conv5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layer { + name: "relu5" + type: "ReLU" + bottom: "conv5" + top: "conv5" +} +layer { + name: "pool5" + type: "Pooling" + bottom: "conv5" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "fc6" + type: "InnerProduct" + bottom: "pool5" + top: "fc6" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layer { + name: "relu6" + type: "ReLU" + bottom: "fc6" + top: "fc6" +} +layer { + name: "drop6" + type: "Dropout" + bottom: "fc6" + top: "fc6" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + name: "fc7" + type: "InnerProduct" + bottom: "fc6" + top: "fc7" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layer { + name: "relu7" + type: "ReLU" + bottom: "fc7" + top: "fc7" +} +layer { + name: "drop7" + type: "Dropout" + bottom: "fc7" + top: "fc7" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + name: "fc8voc" + type: "InnerProduct" + bottom: "fc7" + top: "fc8voc" + param { + lr_mult: 10 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 20 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} + +#layer { +# name: "accuracy" +# type: "Accuracy" +# bottom: "fc8voc" +# bottom: "label" +# top: "accuracy" +# include { +# phase: TEST +# } +#} + +#layer { +# name: "loss" +# type: "HingeLossMultiLabel" +# bottom: "fc8voc" +# bottom: "label" +# top: "loss" +#} + diff --git a/24-07/caffe/deploy/32-SqueezeNet.prototxt b/24-07/caffe/deploy/32-SqueezeNet.prototxt new file mode 100644 index 0000000..8295b13 --- /dev/null +++ b/24-07/caffe/deploy/32-SqueezeNet.prototxt @@ -0,0 +1,553 @@ +# please cite: +# @article{SqueezeNet, +# Author = {Forrest N. Iandola and Matthew W. Moskewicz and Khalid Ashraf and Song Han and William J. Dally and Kurt Keutzer}, +# Title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$1MB model size}, +# Journal = {arXiv:1602.07360}, +# Year = {2016} +# } + +layer { + name: "data" + type: "Input" + top: "data" + input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } } +} +layer { + name: "conv1" + type: "Convolution" + bottom: "data" + top: "conv1" + convolution_param { + num_output: 64 + kernel_size: 3 + stride: 2 + } +} +layer { + name: "relu_conv1" + type: "ReLU" + bottom: "conv1" + top: "conv1" +} +layer { + name: "pool1" + type: "Pooling" + bottom: "conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "fire2/squeeze1x1" + type: "Convolution" + bottom: "pool1" + top: "fire2/squeeze1x1" + convolution_param { + num_output: 16 + kernel_size: 1 + } +} +layer { + name: "fire2/relu_squeeze1x1" + type: "ReLU" + bottom: "fire2/squeeze1x1" + top: "fire2/squeeze1x1" +} +layer { + name: "fire2/expand1x1" + type: "Convolution" + bottom: "fire2/squeeze1x1" + top: "fire2/expand1x1" + convolution_param { + num_output: 64 + kernel_size: 1 + } +} +layer { + name: "fire2/relu_expand1x1" + type: "ReLU" + bottom: "fire2/expand1x1" + top: "fire2/expand1x1" +} +layer { + name: "fire2/expand3x3" + type: "Convolution" + bottom: "fire2/squeeze1x1" + top: "fire2/expand3x3" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire2/relu_expand3x3" + type: "ReLU" + bottom: "fire2/expand3x3" + top: "fire2/expand3x3" +} +layer { + name: "fire2/concat" + type: "Concat" + bottom: "fire2/expand1x1" + bottom: "fire2/expand3x3" + top: "fire2/concat" +} +layer { + name: "fire3/squeeze1x1" + type: "Convolution" + bottom: "fire2/concat" + top: "fire3/squeeze1x1" + convolution_param { + num_output: 16 + kernel_size: 1 + } +} +layer { + name: "fire3/relu_squeeze1x1" + type: "ReLU" + bottom: "fire3/squeeze1x1" + top: "fire3/squeeze1x1" +} +layer { + name: "fire3/expand1x1" + type: "Convolution" + bottom: "fire3/squeeze1x1" + top: "fire3/expand1x1" + convolution_param { + num_output: 64 + kernel_size: 1 + } +} +layer { + name: "fire3/relu_expand1x1" + type: "ReLU" + bottom: "fire3/expand1x1" + top: "fire3/expand1x1" +} +layer { + name: "fire3/expand3x3" + type: "Convolution" + bottom: "fire3/squeeze1x1" + top: "fire3/expand3x3" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire3/relu_expand3x3" + type: "ReLU" + bottom: "fire3/expand3x3" + top: "fire3/expand3x3" +} +layer { + name: "fire3/concat" + type: "Concat" + bottom: "fire3/expand1x1" + bottom: "fire3/expand3x3" + top: "fire3/concat" +} +layer { + name: "pool3" + type: "Pooling" + bottom: "fire3/concat" + top: "pool3" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "fire4/squeeze1x1" + type: "Convolution" + bottom: "pool3" + top: "fire4/squeeze1x1" + convolution_param { + num_output: 32 + kernel_size: 1 + } +} +layer { + name: "fire4/relu_squeeze1x1" + type: "ReLU" + bottom: "fire4/squeeze1x1" + top: "fire4/squeeze1x1" +} +layer { + name: "fire4/expand1x1" + type: "Convolution" + bottom: "fire4/squeeze1x1" + top: "fire4/expand1x1" + convolution_param { + num_output: 128 + kernel_size: 1 + } +} +layer { + name: "fire4/relu_expand1x1" + type: "ReLU" + bottom: "fire4/expand1x1" + top: "fire4/expand1x1" +} +layer { + name: "fire4/expand3x3" + type: "Convolution" + bottom: "fire4/squeeze1x1" + top: "fire4/expand3x3" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire4/relu_expand3x3" + type: "ReLU" + bottom: "fire4/expand3x3" + top: "fire4/expand3x3" +} +layer { + name: "fire4/concat" + type: "Concat" + bottom: "fire4/expand1x1" + bottom: "fire4/expand3x3" + top: "fire4/concat" +} +layer { + name: "fire5/squeeze1x1" + type: "Convolution" + bottom: "fire4/concat" + top: "fire5/squeeze1x1" + convolution_param { + num_output: 32 + kernel_size: 1 + } +} +layer { + name: "fire5/relu_squeeze1x1" + type: "ReLU" + bottom: "fire5/squeeze1x1" + top: "fire5/squeeze1x1" +} +layer { + name: "fire5/expand1x1" + type: "Convolution" + bottom: "fire5/squeeze1x1" + top: "fire5/expand1x1" + convolution_param { + num_output: 128 + kernel_size: 1 + } +} +layer { + name: "fire5/relu_expand1x1" + type: "ReLU" + bottom: "fire5/expand1x1" + top: "fire5/expand1x1" +} +layer { + name: "fire5/expand3x3" + type: "Convolution" + bottom: "fire5/squeeze1x1" + top: "fire5/expand3x3" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire5/relu_expand3x3" + type: "ReLU" + bottom: "fire5/expand3x3" + top: "fire5/expand3x3" +} +layer { + name: "fire5/concat" + type: "Concat" + bottom: "fire5/expand1x1" + bottom: "fire5/expand3x3" + top: "fire5/concat" +} +layer { + name: "pool5" + type: "Pooling" + bottom: "fire5/concat" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "fire6/squeeze1x1" + type: "Convolution" + bottom: "pool5" + top: "fire6/squeeze1x1" + convolution_param { + num_output: 48 + kernel_size: 1 + } +} +layer { + name: "fire6/relu_squeeze1x1" + type: "ReLU" + bottom: "fire6/squeeze1x1" + top: "fire6/squeeze1x1" +} +layer { + name: "fire6/expand1x1" + type: "Convolution" + bottom: "fire6/squeeze1x1" + top: "fire6/expand1x1" + convolution_param { + num_output: 192 + kernel_size: 1 + } +} +layer { + name: "fire6/relu_expand1x1" + type: "ReLU" + bottom: "fire6/expand1x1" + top: "fire6/expand1x1" +} +layer { + name: "fire6/expand3x3" + type: "Convolution" + bottom: "fire6/squeeze1x1" + top: "fire6/expand3x3" + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire6/relu_expand3x3" + type: "ReLU" + bottom: "fire6/expand3x3" + top: "fire6/expand3x3" +} +layer { + name: "fire6/concat" + type: "Concat" + bottom: "fire6/expand1x1" + bottom: "fire6/expand3x3" + top: "fire6/concat" +} +layer { + name: "fire7/squeeze1x1" + type: "Convolution" + bottom: "fire6/concat" + top: "fire7/squeeze1x1" + convolution_param { + num_output: 48 + kernel_size: 1 + } +} +layer { + name: "fire7/relu_squeeze1x1" + type: "ReLU" + bottom: "fire7/squeeze1x1" + top: "fire7/squeeze1x1" +} +layer { + name: "fire7/expand1x1" + type: "Convolution" + bottom: "fire7/squeeze1x1" + top: "fire7/expand1x1" + convolution_param { + num_output: 192 + kernel_size: 1 + } +} +layer { + name: "fire7/relu_expand1x1" + type: "ReLU" + bottom: "fire7/expand1x1" + top: "fire7/expand1x1" +} +layer { + name: "fire7/expand3x3" + type: "Convolution" + bottom: "fire7/squeeze1x1" + top: "fire7/expand3x3" + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire7/relu_expand3x3" + type: "ReLU" + bottom: "fire7/expand3x3" + top: "fire7/expand3x3" +} +layer { + name: "fire7/concat" + type: "Concat" + bottom: "fire7/expand1x1" + bottom: "fire7/expand3x3" + top: "fire7/concat" +} +layer { + name: "fire8/squeeze1x1" + type: "Convolution" + bottom: "fire7/concat" + top: "fire8/squeeze1x1" + convolution_param { + num_output: 64 + kernel_size: 1 + } +} +layer { + name: "fire8/relu_squeeze1x1" + type: "ReLU" + bottom: "fire8/squeeze1x1" + top: "fire8/squeeze1x1" +} +layer { + name: "fire8/expand1x1" + type: "Convolution" + bottom: "fire8/squeeze1x1" + top: "fire8/expand1x1" + convolution_param { + num_output: 256 + kernel_size: 1 + } +} +layer { + name: "fire8/relu_expand1x1" + type: "ReLU" + bottom: "fire8/expand1x1" + top: "fire8/expand1x1" +} +layer { + name: "fire8/expand3x3" + type: "Convolution" + bottom: "fire8/squeeze1x1" + top: "fire8/expand3x3" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire8/relu_expand3x3" + type: "ReLU" + bottom: "fire8/expand3x3" + top: "fire8/expand3x3" +} +layer { + name: "fire8/concat" + type: "Concat" + bottom: "fire8/expand1x1" + bottom: "fire8/expand3x3" + top: "fire8/concat" +} +layer { + name: "fire9/squeeze1x1" + type: "Convolution" + bottom: "fire8/concat" + top: "fire9/squeeze1x1" + convolution_param { + num_output: 64 + kernel_size: 1 + } +} +layer { + name: "fire9/relu_squeeze1x1" + type: "ReLU" + bottom: "fire9/squeeze1x1" + top: "fire9/squeeze1x1" +} +layer { + name: "fire9/expand1x1" + type: "Convolution" + bottom: "fire9/squeeze1x1" + top: "fire9/expand1x1" + convolution_param { + num_output: 256 + kernel_size: 1 + } +} +layer { + name: "fire9/relu_expand1x1" + type: "ReLU" + bottom: "fire9/expand1x1" + top: "fire9/expand1x1" +} +layer { + name: "fire9/expand3x3" + type: "Convolution" + bottom: "fire9/squeeze1x1" + top: "fire9/expand3x3" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "fire9/relu_expand3x3" + type: "ReLU" + bottom: "fire9/expand3x3" + top: "fire9/expand3x3" +} +layer { + name: "fire9/concat" + type: "Concat" + bottom: "fire9/expand1x1" + bottom: "fire9/expand3x3" + top: "fire9/concat" +} +layer { + name: "drop9" + type: "Dropout" + bottom: "fire9/concat" + top: "fire9/concat" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + name: "conv10" + type: "Convolution" + bottom: "fire9/concat" + top: "conv10" + convolution_param { + num_output: 1000 + kernel_size: 1 + } +} +layer { + name: "relu_conv10" + type: "ReLU" + bottom: "conv10" + top: "conv10" +} +layer { + name: "pool10" + type: "Pooling" + bottom: "conv10" + top: "pool10" + pooling_param { + pool: AVE + global_pooling: true + } +} +layer { + name: "prob" + type: "Softmax" + bottom: "pool10" + top: "prob" +} diff --git a/24-07/caffe/deploy/33-GoogleNet_cub.prototxt b/24-07/caffe/deploy/33-GoogleNet_cub.prototxt new file mode 100644 index 0000000..17b8851 --- /dev/null +++ b/24-07/caffe/deploy/33-GoogleNet_cub.prototxt @@ -0,0 +1,17196 @@ +name: "CnnMixture" + +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 226 +input_dim: 226 + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se1" + + name: "conv1/7x7_s2-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se1" + + top: "conv1/7x7_s2-se1" + + name: "conv1/relu_7x7-se1" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se1" + + top: "pool1/3x3_s2-se1" + + name: "pool1/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se1" + + top: "pool1/norm1-se1" + + name: "pool1/norm1-se1" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se1" + + top: "conv2/3x3_reduce-se1" + + name: "conv2/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se1" + + top: "conv2/3x3_reduce-se1" + + name: "conv2/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se1" + + top: "conv2/3x3-se1" + + name: "conv2/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se1" + + top: "conv2/3x3-se1" + + name: "conv2/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se1" + + top: "conv2/norm2-se1" + + name: "conv2/norm2-se1" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se1" + + top: "pool2/3x3_s2-se1" + + name: "pool2/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/1x1-se1" + + name: "inception_3a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se1" + + top: "inception_3a/1x1-se1" + + name: "inception_3a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/3x3_reduce-se1" + + name: "inception_3a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se1" + + top: "inception_3a/3x3_reduce-se1" + + name: "inception_3a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se1" + + top: "inception_3a/3x3-se1" + + name: "inception_3a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se1" + + top: "inception_3a/3x3-se1" + + name: "inception_3a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/5x5_reduce-se1" + + name: "inception_3a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se1" + + top: "inception_3a/5x5_reduce-se1" + + name: "inception_3a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se1" + + top: "inception_3a/5x5-se1" + + name: "inception_3a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se1" + + top: "inception_3a/5x5-se1" + + name: "inception_3a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/pool-se1" + + name: "inception_3a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se1" + + top: "inception_3a/pool_proj-se1" + + name: "inception_3a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se1" + + top: "inception_3a/pool_proj-se1" + + name: "inception_3a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se1" + + bottom: "inception_3a/3x3-se1" + + bottom: "inception_3a/5x5-se1" + + bottom: "inception_3a/pool_proj-se1" + + top: "inception_3a/output-se1" + + name: "inception_3a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/1x1-se1" + + name: "inception_3b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se1" + + top: "inception_3b/1x1-se1" + + name: "inception_3b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/3x3_reduce-se1" + + name: "inception_3b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se1" + + top: "inception_3b/3x3_reduce-se1" + + name: "inception_3b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se1" + + top: "inception_3b/3x3-se1" + + name: "inception_3b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se1" + + top: "inception_3b/3x3-se1" + + name: "inception_3b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/5x5_reduce-se1" + + name: "inception_3b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se1" + + top: "inception_3b/5x5_reduce-se1" + + name: "inception_3b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se1" + + top: "inception_3b/5x5-se1" + + name: "inception_3b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se1" + + top: "inception_3b/5x5-se1" + + name: "inception_3b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/pool-se1" + + name: "inception_3b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se1" + + top: "inception_3b/pool_proj-se1" + + name: "inception_3b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se1" + + top: "inception_3b/pool_proj-se1" + + name: "inception_3b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se1" + + bottom: "inception_3b/3x3-se1" + + bottom: "inception_3b/5x5-se1" + + bottom: "inception_3b/pool_proj-se1" + + top: "inception_3b/output-se1" + + name: "inception_3b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se1" + + top: "pool3/3x3_s2-se1" + + name: "pool3/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/1x1-se1" + + name: "inception_4a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se1" + + top: "inception_4a/1x1-se1" + + name: "inception_4a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/3x3_reduce-se1" + + name: "inception_4a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se1" + + top: "inception_4a/3x3_reduce-se1" + + name: "inception_4a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se1" + + top: "inception_4a/3x3-se1" + + name: "inception_4a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se1" + + top: "inception_4a/3x3-se1" + + name: "inception_4a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/5x5_reduce-se1" + + name: "inception_4a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se1" + + top: "inception_4a/5x5_reduce-se1" + + name: "inception_4a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se1" + + top: "inception_4a/5x5-se1" + + name: "inception_4a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se1" + + top: "inception_4a/5x5-se1" + + name: "inception_4a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/pool-se1" + + name: "inception_4a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se1" + + top: "inception_4a/pool_proj-se1" + + name: "inception_4a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se1" + + top: "inception_4a/pool_proj-se1" + + name: "inception_4a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se1" + + bottom: "inception_4a/3x3-se1" + + bottom: "inception_4a/5x5-se1" + + bottom: "inception_4a/pool_proj-se1" + + top: "inception_4a/output-se1" + + name: "inception_4a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/1x1-se1" + + name: "inception_4b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se1" + + top: "inception_4b/1x1-se1" + + name: "inception_4b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/3x3_reduce-se1" + + name: "inception_4b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se1" + + top: "inception_4b/3x3_reduce-se1" + + name: "inception_4b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se1" + + top: "inception_4b/3x3-se1" + + name: "inception_4b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se1" + + top: "inception_4b/3x3-se1" + + name: "inception_4b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/5x5_reduce-se1" + + name: "inception_4b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se1" + + top: "inception_4b/5x5_reduce-se1" + + name: "inception_4b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se1" + + top: "inception_4b/5x5-se1" + + name: "inception_4b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se1" + + top: "inception_4b/5x5-se1" + + name: "inception_4b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/pool-se1" + + name: "inception_4b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se1" + + top: "inception_4b/pool_proj-se1" + + name: "inception_4b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se1" + + top: "inception_4b/pool_proj-se1" + + name: "inception_4b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se1" + + bottom: "inception_4b/3x3-se1" + + bottom: "inception_4b/5x5-se1" + + bottom: "inception_4b/pool_proj-se1" + + top: "inception_4b/output-se1" + + name: "inception_4b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/1x1-se1" + + name: "inception_4c/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se1" + + top: "inception_4c/1x1-se1" + + name: "inception_4c/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/3x3_reduce-se1" + + name: "inception_4c/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se1" + + top: "inception_4c/3x3_reduce-se1" + + name: "inception_4c/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se1" + + top: "inception_4c/3x3-se1" + + name: "inception_4c/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se1" + + top: "inception_4c/3x3-se1" + + name: "inception_4c/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/5x5_reduce-se1" + + name: "inception_4c/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se1" + + top: "inception_4c/5x5_reduce-se1" + + name: "inception_4c/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se1" + + top: "inception_4c/5x5-se1" + + name: "inception_4c/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se1" + + top: "inception_4c/5x5-se1" + + name: "inception_4c/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/pool-se1" + + name: "inception_4c/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se1" + + top: "inception_4c/pool_proj-se1" + + name: "inception_4c/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + 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weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se1" + + top: "inception_4d/3x3-se1" + + name: "inception_4d/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/5x5_reduce-se1" + + name: "inception_4d/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se1" + + top: "inception_4d/5x5_reduce-se1" + + name: "inception_4d/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se1" + + top: "inception_4d/5x5-se1" + + name: "inception_4d/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se1" + + top: "inception_4d/5x5-se1" + + name: "inception_4d/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/pool-se1" + + name: "inception_4d/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se1" + + top: "inception_4d/pool_proj-se1" + + name: "inception_4d/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se1" + + top: "inception_4d/pool_proj-se1" + + name: "inception_4d/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se1" + + bottom: "inception_4d/3x3-se1" + + bottom: "inception_4d/5x5-se1" + + bottom: "inception_4d/pool_proj-se1" + + top: "inception_4d/output-se1" + + name: "inception_4d/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/1x1-se1" + + name: "inception_4e/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se1" + + top: "inception_4e/1x1-se1" + + name: "inception_4e/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/3x3_reduce-se1" + + name: "inception_4e/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se1" + + top: "inception_4e/3x3_reduce-se1" + + name: "inception_4e/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se1" + + top: "inception_4e/3x3-se1" + + name: "inception_4e/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se1" + + top: "inception_4e/3x3-se1" + + name: "inception_4e/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/5x5_reduce-se1" + + name: "inception_4e/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se1" + + top: "inception_4e/5x5_reduce-se1" + + name: "inception_4e/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se1" + + top: "inception_4e/5x5-se1" + + name: "inception_4e/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se1" + + top: "inception_4e/5x5-se1" + + name: "inception_4e/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/pool-se1" + + name: "inception_4e/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se1" + + top: "inception_4e/pool_proj-se1" + + name: "inception_4e/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se1" + + top: "inception_4e/pool_proj-se1" + + name: "inception_4e/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se1" + + bottom: "inception_4e/3x3-se1" + + bottom: "inception_4e/5x5-se1" + + bottom: "inception_4e/pool_proj-se1" + + top: "inception_4e/output-se1" + + name: "inception_4e/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se1" + + top: "pool4/3x3_s2-se1" + + name: "pool4/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/1x1-se1" + + name: "inception_5a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se1" + + top: "inception_5a/1x1-se1" + + name: "inception_5a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/3x3_reduce-se1" + + name: "inception_5a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se1" + + top: "inception_5a/3x3_reduce-se1" + + name: "inception_5a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se1" + + top: "inception_5a/3x3-se1" + + name: "inception_5a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se1" + + top: "inception_5a/3x3-se1" + + name: "inception_5a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/5x5_reduce-se1" + + name: "inception_5a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se1" + + top: "inception_5a/5x5_reduce-se1" + + name: "inception_5a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se1" + + top: "inception_5a/5x5-se1" + + name: "inception_5a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se1" + + top: "inception_5a/5x5-se1" + + name: "inception_5a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/pool-se1" + + name: "inception_5a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se1" + + top: "inception_5a/pool_proj-se1" + + name: "inception_5a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se1" + + top: "inception_5a/pool_proj-se1" + + name: "inception_5a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se1" + + bottom: "inception_5a/3x3-se1" + + bottom: "inception_5a/5x5-se1" + + bottom: "inception_5a/pool_proj-se1" + + top: "inception_5a/output-se1" + + name: "inception_5a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/1x1-se1" + + name: "inception_5b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se1" + + top: "inception_5b/1x1-se1" + + name: "inception_5b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/3x3_reduce-se1" + + name: "inception_5b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se1" + + top: "inception_5b/3x3_reduce-se1" + + name: "inception_5b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se1" + + top: "inception_5b/3x3-se1" + + name: "inception_5b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se1" + + top: "inception_5b/3x3-se1" + + name: "inception_5b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/5x5_reduce-se1" + + name: "inception_5b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se1" + + top: "inception_5b/5x5_reduce-se1" + + name: "inception_5b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se1" + + top: "inception_5b/5x5-se1" + + name: "inception_5b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se1" + + top: "inception_5b/5x5-se1" + + name: "inception_5b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/pool-se1" + + name: "inception_5b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se1" + + top: "inception_5b/pool_proj-se1" + + name: "inception_5b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se1" + + top: "inception_5b/pool_proj-se1" + + name: "inception_5b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se1" + + bottom: "inception_5b/3x3-se1" + + bottom: "inception_5b/5x5-se1" + + bottom: "inception_5b/pool_proj-se1" + + top: "inception_5b/output-se1" + + name: "inception_5b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se1" + + top: "pool5/7x7_s1-se1" + + name: "pool5/7x7_s1-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se1" + + top: "pool5/7x7_s1-se1" + + name: "pool5/drop_7x7_s1-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.5 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se1" + + top: "fc8-se1" + + name: "loss3/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 200 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se1" + + type: BNLL + + bottom: "fc8-se1" + + top: "fc8-se1" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se2" + + name: "conv1/7x7_s2-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se2" + + top: "conv1/7x7_s2-se2" + + name: "conv1/relu_7x7-se2" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se2" + + top: "pool1/3x3_s2-se2" + + name: "pool1/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se2" + + top: "pool1/norm1-se2" + + name: "pool1/norm1-se2" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se2" + + top: "conv2/3x3_reduce-se2" + + name: "conv2/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se2" + + top: "conv2/3x3_reduce-se2" + + name: "conv2/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se2" + + top: "conv2/3x3-se2" + + name: "conv2/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se2" + + top: "conv2/3x3-se2" + + name: "conv2/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se2" + + top: "conv2/norm2-se2" + + name: "conv2/norm2-se2" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se2" + + top: "pool2/3x3_s2-se2" + + name: "pool2/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/1x1-se2" + + name: "inception_3a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se2" + + top: "inception_3a/1x1-se2" + + name: "inception_3a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/3x3_reduce-se2" + + name: "inception_3a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se2" + + top: "inception_3a/3x3_reduce-se2" + + name: "inception_3a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se2" + + top: "inception_3a/3x3-se2" + + name: "inception_3a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se2" + + top: "inception_3a/3x3-se2" + + name: "inception_3a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/5x5_reduce-se2" + + name: "inception_3a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se2" + + top: "inception_3a/5x5_reduce-se2" + + name: "inception_3a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se2" + + top: "inception_3a/5x5-se2" + + name: "inception_3a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se2" + + top: "inception_3a/5x5-se2" + + name: "inception_3a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/pool-se2" + + name: "inception_3a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se2" + + top: "inception_3a/pool_proj-se2" + + name: "inception_3a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se2" + + top: "inception_3a/pool_proj-se2" + + name: "inception_3a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se2" + + bottom: "inception_3a/3x3-se2" + + bottom: "inception_3a/5x5-se2" + + bottom: "inception_3a/pool_proj-se2" + + top: "inception_3a/output-se2" + + name: "inception_3a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/1x1-se2" + + name: "inception_3b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se2" + + top: "inception_3b/1x1-se2" + + name: "inception_3b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/3x3_reduce-se2" + + name: "inception_3b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se2" + + top: "inception_3b/3x3_reduce-se2" + + name: "inception_3b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se2" + + top: "inception_3b/3x3-se2" + + name: "inception_3b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se2" + + top: "inception_3b/3x3-se2" + + name: "inception_3b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/5x5_reduce-se2" + + name: "inception_3b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se2" + + top: "inception_3b/5x5_reduce-se2" + + name: "inception_3b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se2" + + top: "inception_3b/5x5-se2" + + name: "inception_3b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se2" + + top: "inception_3b/5x5-se2" + + name: "inception_3b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/pool-se2" + + name: "inception_3b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se2" + + top: "inception_3b/pool_proj-se2" + + name: "inception_3b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se2" + + top: "inception_3b/pool_proj-se2" + + name: "inception_3b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se2" + + bottom: "inception_3b/3x3-se2" + + bottom: "inception_3b/5x5-se2" + + bottom: "inception_3b/pool_proj-se2" + + top: "inception_3b/output-se2" + + name: "inception_3b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se2" + + top: "pool3/3x3_s2-se2" + + name: "pool3/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/1x1-se2" + + name: "inception_4a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se2" + + top: "inception_4a/1x1-se2" + + name: "inception_4a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/3x3_reduce-se2" + + name: "inception_4a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se2" + + top: "inception_4a/3x3_reduce-se2" + + name: "inception_4a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se2" + + top: "inception_4a/3x3-se2" + + name: "inception_4a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se2" + + top: "inception_4a/3x3-se2" + + name: "inception_4a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/5x5_reduce-se2" + + name: "inception_4a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se2" + + top: "inception_4a/5x5_reduce-se2" + + name: "inception_4a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se2" + + top: "inception_4a/5x5-se2" + + name: "inception_4a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se2" + + top: "inception_4a/5x5-se2" + + name: "inception_4a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/pool-se2" + + name: "inception_4a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se2" + + top: "inception_4a/pool_proj-se2" + + name: "inception_4a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se2" + + top: "inception_4a/pool_proj-se2" + + name: "inception_4a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se2" + + bottom: "inception_4a/3x3-se2" + + bottom: "inception_4a/5x5-se2" + + bottom: "inception_4a/pool_proj-se2" + + top: "inception_4a/output-se2" + + name: "inception_4a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/1x1-se2" + + name: "inception_4b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se2" + + top: "inception_4b/1x1-se2" + + name: "inception_4b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/3x3_reduce-se2" + + name: "inception_4b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se2" + + top: "inception_4b/3x3_reduce-se2" + + name: "inception_4b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se2" + + top: "inception_4b/3x3-se2" + + name: "inception_4b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se2" + + top: "inception_4b/3x3-se2" + + name: "inception_4b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/5x5_reduce-se2" + + name: "inception_4b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se2" + + top: "inception_4b/5x5_reduce-se2" + + name: "inception_4b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se2" + + top: "inception_4b/5x5-se2" + + name: "inception_4b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se2" + + top: "inception_4b/5x5-se2" + + name: "inception_4b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/pool-se2" + + name: "inception_4b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se2" + + top: "inception_4b/pool_proj-se2" + + name: "inception_4b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se2" + + top: "inception_4b/pool_proj-se2" + + name: "inception_4b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se2" + + bottom: "inception_4b/3x3-se2" + + bottom: "inception_4b/5x5-se2" + + bottom: "inception_4b/pool_proj-se2" + + top: "inception_4b/output-se2" + + name: "inception_4b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/1x1-se2" + + name: "inception_4c/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se2" + + top: "inception_4c/1x1-se2" + + name: "inception_4c/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/3x3_reduce-se2" + + name: "inception_4c/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se2" + + top: "inception_4c/3x3_reduce-se2" + + name: "inception_4c/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se2" + + top: "inception_4c/3x3-se2" + + name: "inception_4c/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se2" + + top: "inception_4c/3x3-se2" + + name: "inception_4c/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/5x5_reduce-se2" + + name: "inception_4c/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se2" + + top: "inception_4c/5x5_reduce-se2" + + name: "inception_4c/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se2" + + top: "inception_4c/5x5-se2" + + name: "inception_4c/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se2" + + top: "inception_4c/5x5-se2" + + name: "inception_4c/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/pool-se2" + + name: "inception_4c/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se2" + + top: "inception_4c/pool_proj-se2" + + name: "inception_4c/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se2" + + top: "inception_4c/pool_proj-se2" + + name: "inception_4c/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se2" + + bottom: "inception_4c/3x3-se2" + + bottom: "inception_4c/5x5-se2" + + bottom: "inception_4c/pool_proj-se2" + + top: "inception_4c/output-se2" + + name: "inception_4c/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/1x1-se2" + + name: "inception_4d/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se2" + + top: "inception_4d/1x1-se2" + + name: "inception_4d/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/3x3_reduce-se2" + + name: "inception_4d/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se2" + + top: "inception_4d/3x3_reduce-se2" + + name: "inception_4d/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se2" + + top: "inception_4d/3x3-se2" + + name: "inception_4d/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se2" + + top: "inception_4d/3x3-se2" + + name: "inception_4d/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/5x5_reduce-se2" + + name: "inception_4d/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se2" + + top: "inception_4d/5x5_reduce-se2" + + name: "inception_4d/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se2" + + top: "inception_4d/5x5-se2" + + name: "inception_4d/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se2" + + top: "inception_4d/5x5-se2" + + name: "inception_4d/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/pool-se2" + + name: "inception_4d/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se2" + + top: "inception_4d/pool_proj-se2" + + name: "inception_4d/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se2" + + top: "inception_4d/pool_proj-se2" + + name: "inception_4d/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se2" + + bottom: "inception_4d/3x3-se2" + + bottom: "inception_4d/5x5-se2" + + bottom: "inception_4d/pool_proj-se2" + + top: "inception_4d/output-se2" + + name: "inception_4d/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/1x1-se2" + + name: "inception_4e/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se2" + + top: "inception_4e/1x1-se2" + + name: "inception_4e/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/3x3_reduce-se2" + + name: "inception_4e/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se2" + + top: "inception_4e/3x3_reduce-se2" + + name: "inception_4e/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se2" + + top: "inception_4e/3x3-se2" + + name: "inception_4e/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se2" + + top: "inception_4e/3x3-se2" + + name: "inception_4e/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/5x5_reduce-se2" + + name: "inception_4e/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se2" + + top: "inception_4e/5x5_reduce-se2" + + name: "inception_4e/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se2" + + top: "inception_4e/5x5-se2" + + name: "inception_4e/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se2" + + top: "inception_4e/5x5-se2" + + name: "inception_4e/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/pool-se2" + + name: "inception_4e/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se2" + + top: "inception_4e/pool_proj-se2" + + name: "inception_4e/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se2" + + top: "inception_4e/pool_proj-se2" + + name: "inception_4e/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se2" + + bottom: "inception_4e/3x3-se2" + + bottom: "inception_4e/5x5-se2" + + bottom: "inception_4e/pool_proj-se2" + + top: "inception_4e/output-se2" + + name: "inception_4e/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se2" + + top: "pool4/3x3_s2-se2" + + name: "pool4/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/1x1-se2" + + name: "inception_5a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se2" + + top: "inception_5a/1x1-se2" + + name: "inception_5a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/3x3_reduce-se2" + + name: "inception_5a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se2" + + top: "inception_5a/3x3_reduce-se2" + + name: "inception_5a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se2" + + top: "inception_5a/3x3-se2" + + name: "inception_5a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se2" + + top: "inception_5a/3x3-se2" + + name: "inception_5a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/5x5_reduce-se2" + + name: "inception_5a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se2" + + top: "inception_5a/5x5_reduce-se2" + + name: "inception_5a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se2" + + top: "inception_5a/5x5-se2" + + name: "inception_5a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se2" + + top: "inception_5a/5x5-se2" + + name: "inception_5a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/pool-se2" + + name: "inception_5a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se2" + + top: "inception_5a/pool_proj-se2" + + name: "inception_5a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se2" + + top: "inception_5a/pool_proj-se2" + + name: "inception_5a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se2" + + bottom: "inception_5a/3x3-se2" + + bottom: "inception_5a/5x5-se2" + + bottom: "inception_5a/pool_proj-se2" + + top: "inception_5a/output-se2" + + name: "inception_5a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/1x1-se2" + + name: "inception_5b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se2" + + top: "inception_5b/1x1-se2" + + name: "inception_5b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/3x3_reduce-se2" + + name: "inception_5b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se2" + + top: "inception_5b/3x3_reduce-se2" + + name: "inception_5b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se2" + + top: "inception_5b/3x3-se2" + + name: "inception_5b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se2" + + top: "inception_5b/3x3-se2" + + name: "inception_5b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/5x5_reduce-se2" + + name: "inception_5b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se2" + + top: "inception_5b/5x5_reduce-se2" + + name: "inception_5b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se2" + + top: "inception_5b/5x5-se2" + + name: "inception_5b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se2" + + top: "inception_5b/5x5-se2" + + name: "inception_5b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/pool-se2" + + name: "inception_5b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se2" + + top: "inception_5b/pool_proj-se2" + + name: "inception_5b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se2" + + top: "inception_5b/pool_proj-se2" + + name: "inception_5b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se2" + + bottom: "inception_5b/3x3-se2" + + bottom: "inception_5b/5x5-se2" + + bottom: "inception_5b/pool_proj-se2" + + top: "inception_5b/output-se2" + + name: "inception_5b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se2" + + top: "pool5/7x7_s1-se2" + + name: "pool5/7x7_s1-se2" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se2" + + top: "pool5/7x7_s1-se2" + + name: "pool5/drop_7x7_s1-se2" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.5 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se2" + + top: "fc8-se2" + + name: "loss3/classifier-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 200 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se2" + + type: BNLL + + bottom: "fc8-se2" + + top: "fc8-se2" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se3" + + name: "conv1/7x7_s2-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se3" + + top: "conv1/7x7_s2-se3" + + name: "conv1/relu_7x7-se3" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se3" + + top: "pool1/3x3_s2-se3" + + name: "pool1/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se3" + + top: "pool1/norm1-se3" + + name: "pool1/norm1-se3" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se3" + + top: "conv2/3x3_reduce-se3" + + name: "conv2/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se3" + + top: "conv2/3x3_reduce-se3" + + name: "conv2/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se3" + + top: "conv2/3x3-se3" + + name: "conv2/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se3" + + top: "conv2/3x3-se3" + + name: "conv2/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se3" + + top: "conv2/norm2-se3" + + name: "conv2/norm2-se3" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se3" + + top: "pool2/3x3_s2-se3" + + name: "pool2/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/1x1-se3" + + name: "inception_3a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se3" + + top: "inception_3a/1x1-se3" + + name: "inception_3a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/3x3_reduce-se3" + + name: "inception_3a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se3" + + top: "inception_3a/3x3_reduce-se3" + + name: "inception_3a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se3" + + top: "inception_3a/3x3-se3" + + name: "inception_3a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se3" + + top: "inception_3a/3x3-se3" + + name: "inception_3a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/5x5_reduce-se3" + + name: "inception_3a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se3" + + top: "inception_3a/5x5_reduce-se3" + + name: "inception_3a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se3" + + top: "inception_3a/5x5-se3" + + name: "inception_3a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se3" + + top: "inception_3a/5x5-se3" + + name: "inception_3a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/pool-se3" + + name: "inception_3a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se3" + + top: "inception_3a/pool_proj-se3" + + name: "inception_3a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se3" + + top: "inception_3a/pool_proj-se3" + + name: "inception_3a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se3" + + bottom: "inception_3a/3x3-se3" + + bottom: "inception_3a/5x5-se3" + + bottom: "inception_3a/pool_proj-se3" + + top: "inception_3a/output-se3" + + name: "inception_3a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/1x1-se3" + + name: "inception_3b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se3" + + top: "inception_3b/1x1-se3" + + name: "inception_3b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/3x3_reduce-se3" + + name: "inception_3b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se3" + + top: "inception_3b/3x3_reduce-se3" + + name: "inception_3b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se3" + + top: "inception_3b/3x3-se3" + + name: "inception_3b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se3" + + top: "inception_3b/3x3-se3" + + name: "inception_3b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/5x5_reduce-se3" + + name: "inception_3b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se3" + + top: "inception_3b/5x5_reduce-se3" + + name: "inception_3b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se3" + + top: "inception_3b/5x5-se3" + + name: "inception_3b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se3" + + top: "inception_3b/5x5-se3" + + name: "inception_3b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/pool-se3" + + name: "inception_3b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se3" + + top: "inception_3b/pool_proj-se3" + + name: "inception_3b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se3" + + top: "inception_3b/pool_proj-se3" + + name: "inception_3b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se3" + + bottom: "inception_3b/3x3-se3" + + bottom: "inception_3b/5x5-se3" + + bottom: "inception_3b/pool_proj-se3" + + top: "inception_3b/output-se3" + + name: "inception_3b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se3" + + top: "pool3/3x3_s2-se3" + + name: "pool3/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/1x1-se3" + + name: "inception_4a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se3" + + top: "inception_4a/1x1-se3" + + name: "inception_4a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/3x3_reduce-se3" + + name: "inception_4a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se3" + + top: "inception_4a/3x3_reduce-se3" + + name: "inception_4a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se3" + + top: "inception_4a/3x3-se3" + + name: "inception_4a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se3" + + top: "inception_4a/3x3-se3" + + name: "inception_4a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/5x5_reduce-se3" + + name: "inception_4a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se3" + + top: "inception_4a/5x5_reduce-se3" + + name: "inception_4a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se3" + + top: "inception_4a/5x5-se3" + + name: "inception_4a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se3" + + top: "inception_4a/5x5-se3" + + name: "inception_4a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/pool-se3" + + name: "inception_4a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se3" + + top: "inception_4a/pool_proj-se3" + + name: "inception_4a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se3" + + top: "inception_4a/pool_proj-se3" + + name: "inception_4a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se3" + + bottom: "inception_4a/3x3-se3" + + bottom: "inception_4a/5x5-se3" + + bottom: "inception_4a/pool_proj-se3" + + top: "inception_4a/output-se3" + + name: "inception_4a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/1x1-se3" + + name: "inception_4b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se3" + + top: "inception_4b/1x1-se3" + + name: "inception_4b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/3x3_reduce-se3" + + name: "inception_4b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se3" + + top: "inception_4b/3x3_reduce-se3" + + name: "inception_4b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se3" + + top: "inception_4b/3x3-se3" + + name: "inception_4b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se3" + + top: "inception_4b/3x3-se3" + + name: "inception_4b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/5x5_reduce-se3" + + name: "inception_4b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se3" + + top: "inception_4b/5x5_reduce-se3" + + name: "inception_4b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se3" + + top: "inception_4b/5x5-se3" + + name: "inception_4b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se3" + + top: "inception_4b/5x5-se3" + + name: "inception_4b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/pool-se3" + + name: "inception_4b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se3" + + top: "inception_4b/pool_proj-se3" + + name: "inception_4b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se3" + + top: "inception_4b/pool_proj-se3" + + name: "inception_4b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se3" + + bottom: "inception_4b/3x3-se3" + + bottom: "inception_4b/5x5-se3" + + bottom: "inception_4b/pool_proj-se3" + + top: "inception_4b/output-se3" + + name: "inception_4b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/1x1-se3" + + name: "inception_4c/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se3" + + top: "inception_4c/1x1-se3" + + name: "inception_4c/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/3x3_reduce-se3" + + name: "inception_4c/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se3" + + top: "inception_4c/3x3_reduce-se3" + + name: "inception_4c/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se3" + + top: "inception_4c/3x3-se3" + + name: "inception_4c/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se3" + + top: "inception_4c/3x3-se3" + + name: "inception_4c/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/5x5_reduce-se3" + + name: "inception_4c/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se3" + + top: "inception_4c/5x5_reduce-se3" + + name: "inception_4c/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se3" + + top: "inception_4c/5x5-se3" + + name: "inception_4c/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se3" + + top: "inception_4c/5x5-se3" + + name: "inception_4c/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/pool-se3" + + name: "inception_4c/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se3" + + top: "inception_4c/pool_proj-se3" + + name: "inception_4c/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se3" + + top: "inception_4c/pool_proj-se3" + + name: "inception_4c/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se3" + + bottom: "inception_4c/3x3-se3" + + bottom: "inception_4c/5x5-se3" + + bottom: "inception_4c/pool_proj-se3" + + top: "inception_4c/output-se3" + + name: "inception_4c/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/1x1-se3" + + name: "inception_4d/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se3" + + top: "inception_4d/1x1-se3" + + name: "inception_4d/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/3x3_reduce-se3" + + name: "inception_4d/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se3" + + top: "inception_4d/3x3_reduce-se3" + + name: "inception_4d/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se3" + + top: "inception_4d/3x3-se3" + + name: "inception_4d/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se3" + + top: "inception_4d/3x3-se3" + + name: "inception_4d/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/5x5_reduce-se3" + + name: "inception_4d/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se3" + + top: "inception_4d/5x5_reduce-se3" + + name: "inception_4d/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se3" + + top: "inception_4d/5x5-se3" + + name: "inception_4d/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se3" + + top: "inception_4d/5x5-se3" + + name: "inception_4d/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/pool-se3" + + name: "inception_4d/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se3" + + top: "inception_4d/pool_proj-se3" + + name: "inception_4d/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se3" + + top: "inception_4d/pool_proj-se3" + + name: "inception_4d/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se3" + + bottom: "inception_4d/3x3-se3" + + bottom: "inception_4d/5x5-se3" + + bottom: "inception_4d/pool_proj-se3" + + top: "inception_4d/output-se3" + + name: "inception_4d/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/1x1-se3" + + name: "inception_4e/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se3" + + top: "inception_4e/1x1-se3" + + name: "inception_4e/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/3x3_reduce-se3" + + name: "inception_4e/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se3" + + top: "inception_4e/3x3_reduce-se3" + + name: "inception_4e/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se3" + + top: "inception_4e/3x3-se3" + + name: "inception_4e/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se3" + + top: "inception_4e/3x3-se3" + + name: "inception_4e/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/5x5_reduce-se3" + + name: "inception_4e/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se3" + + top: "inception_4e/5x5_reduce-se3" + + name: "inception_4e/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se3" + + top: "inception_4e/5x5-se3" + + name: "inception_4e/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se3" + + top: "inception_4e/5x5-se3" + + name: "inception_4e/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/pool-se3" + + name: "inception_4e/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se3" + + top: "inception_4e/pool_proj-se3" + + name: "inception_4e/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se3" + + top: "inception_4e/pool_proj-se3" + + name: "inception_4e/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se3" + + bottom: "inception_4e/3x3-se3" + + bottom: "inception_4e/5x5-se3" + + bottom: "inception_4e/pool_proj-se3" + + top: "inception_4e/output-se3" + + name: "inception_4e/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se3" + + top: "pool4/3x3_s2-se3" + + name: "pool4/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/1x1-se3" + + name: "inception_5a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se3" + + top: "inception_5a/1x1-se3" + + name: "inception_5a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/3x3_reduce-se3" + + name: "inception_5a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se3" + + top: "inception_5a/3x3_reduce-se3" + + name: "inception_5a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se3" + + top: "inception_5a/3x3-se3" + + name: "inception_5a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se3" + + top: "inception_5a/3x3-se3" + + name: "inception_5a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/5x5_reduce-se3" + + name: "inception_5a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se3" + + top: "inception_5a/5x5_reduce-se3" + + name: "inception_5a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se3" + + top: "inception_5a/5x5-se3" + + name: "inception_5a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se3" + + top: "inception_5a/5x5-se3" + + name: "inception_5a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/pool-se3" + + name: "inception_5a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se3" + + top: "inception_5a/pool_proj-se3" + + name: "inception_5a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se3" + + top: "inception_5a/pool_proj-se3" + + name: "inception_5a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se3" + + bottom: "inception_5a/3x3-se3" + + bottom: "inception_5a/5x5-se3" + + bottom: "inception_5a/pool_proj-se3" + + top: "inception_5a/output-se3" + + name: "inception_5a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/1x1-se3" + + name: "inception_5b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se3" + + top: "inception_5b/1x1-se3" + + name: "inception_5b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/3x3_reduce-se3" + + name: "inception_5b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se3" + + top: "inception_5b/3x3_reduce-se3" + + name: "inception_5b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se3" + + top: "inception_5b/3x3-se3" + + name: "inception_5b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se3" + + top: "inception_5b/3x3-se3" + + name: "inception_5b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/5x5_reduce-se3" + + name: "inception_5b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se3" + + top: "inception_5b/5x5_reduce-se3" + + name: "inception_5b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se3" + + top: "inception_5b/5x5-se3" + + name: "inception_5b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se3" + + top: "inception_5b/5x5-se3" + + name: "inception_5b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/pool-se3" + + name: "inception_5b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se3" + + top: "inception_5b/pool_proj-se3" + + name: "inception_5b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se3" + + top: "inception_5b/pool_proj-se3" + + name: "inception_5b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se3" + + bottom: "inception_5b/3x3-se3" + + bottom: "inception_5b/5x5-se3" + + bottom: "inception_5b/pool_proj-se3" + + top: "inception_5b/output-se3" + + name: "inception_5b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se3" + + top: "pool5/7x7_s1-se3" + + name: "pool5/7x7_s1-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se3" + + top: "pool5/7x7_s1-se3" + + name: "pool5/drop_7x7_s1-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.5 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se3" + + top: "fc8-se3" + + name: "loss3/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 200 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se3" + + type: BNLL + + bottom: "fc8-se3" + + top: "fc8-se3" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se4" + + name: "conv1/7x7_s2-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se4" + + top: "conv1/7x7_s2-se4" + + name: "conv1/relu_7x7-se4" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se4" + + top: "pool1/3x3_s2-se4" + + name: "pool1/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se4" + + top: "pool1/norm1-se4" + + name: "pool1/norm1-se4" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se4" + + top: "conv2/3x3_reduce-se4" + + name: "conv2/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se4" + + top: "conv2/3x3_reduce-se4" + + name: "conv2/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se4" + + top: "conv2/3x3-se4" + + name: "conv2/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se4" + + top: "conv2/3x3-se4" + + name: "conv2/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se4" + + top: "conv2/norm2-se4" + + name: "conv2/norm2-se4" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se4" + + top: "pool2/3x3_s2-se4" + + name: "pool2/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/1x1-se4" + + name: "inception_3a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se4" + + top: "inception_3a/1x1-se4" + + name: "inception_3a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/3x3_reduce-se4" + + name: "inception_3a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se4" + + top: "inception_3a/3x3_reduce-se4" + + name: "inception_3a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se4" + + top: "inception_3a/3x3-se4" + + name: "inception_3a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se4" + + top: "inception_3a/3x3-se4" + + name: "inception_3a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/5x5_reduce-se4" + + name: "inception_3a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se4" + 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type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se4" + + top: "inception_3a/pool_proj-se4" + + name: "inception_3a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se4" + + bottom: "inception_3a/3x3-se4" + + bottom: "inception_3a/5x5-se4" + + bottom: "inception_3a/pool_proj-se4" + + top: "inception_3a/output-se4" + + name: "inception_3a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/1x1-se4" + + name: "inception_3b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se4" + + top: "inception_3b/1x1-se4" + + name: "inception_3b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/3x3_reduce-se4" + + name: "inception_3b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se4" + + top: "inception_3b/3x3_reduce-se4" + + name: "inception_3b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se4" + + top: "inception_3b/3x3-se4" + + name: "inception_3b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se4" + + top: "inception_3b/3x3-se4" + + name: "inception_3b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/5x5_reduce-se4" + + name: "inception_3b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se4" + + top: "inception_3b/5x5_reduce-se4" + + name: "inception_3b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se4" + + top: "inception_3b/5x5-se4" + + name: "inception_3b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se4" + + top: "inception_3b/5x5-se4" + + name: "inception_3b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/pool-se4" + + name: "inception_3b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se4" + + top: "inception_3b/pool_proj-se4" + + name: "inception_3b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se4" + + top: "inception_3b/pool_proj-se4" + + name: "inception_3b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se4" + + bottom: "inception_3b/3x3-se4" + + bottom: "inception_3b/5x5-se4" + + bottom: "inception_3b/pool_proj-se4" + + top: "inception_3b/output-se4" + + name: "inception_3b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se4" + + top: "pool3/3x3_s2-se4" + + name: "pool3/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/1x1-se4" + + name: "inception_4a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se4" + + top: "inception_4a/1x1-se4" + + name: "inception_4a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/3x3_reduce-se4" + + name: "inception_4a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se4" + + top: "inception_4a/3x3_reduce-se4" + + name: "inception_4a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se4" + + top: "inception_4a/3x3-se4" + + name: "inception_4a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se4" + + top: "inception_4a/3x3-se4" + + name: "inception_4a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/5x5_reduce-se4" + + name: "inception_4a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se4" + + top: "inception_4a/5x5_reduce-se4" + + name: "inception_4a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se4" + + top: "inception_4a/5x5-se4" + + name: "inception_4a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se4" + + top: "inception_4a/5x5-se4" + + name: "inception_4a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/pool-se4" + + name: "inception_4a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se4" + + top: "inception_4a/pool_proj-se4" + + name: "inception_4a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se4" + + top: "inception_4a/pool_proj-se4" + + name: "inception_4a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se4" + + bottom: "inception_4a/3x3-se4" + + bottom: "inception_4a/5x5-se4" + + bottom: "inception_4a/pool_proj-se4" + + top: "inception_4a/output-se4" + + name: "inception_4a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/1x1-se4" + + name: "inception_4b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se4" + + top: "inception_4b/1x1-se4" + + name: "inception_4b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/3x3_reduce-se4" + + name: "inception_4b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se4" + + top: "inception_4b/3x3_reduce-se4" + + name: "inception_4b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se4" + + top: "inception_4b/3x3-se4" + + name: "inception_4b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se4" + + top: "inception_4b/3x3-se4" + + name: "inception_4b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/5x5_reduce-se4" + + name: "inception_4b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se4" + + top: "inception_4b/5x5_reduce-se4" + + name: "inception_4b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se4" + + top: "inception_4b/5x5-se4" + + name: "inception_4b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se4" + + top: "inception_4b/5x5-se4" + + name: "inception_4b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/pool-se4" + + name: "inception_4b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se4" + + top: "inception_4b/pool_proj-se4" + + name: "inception_4b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + 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"inception_4b/output-se4" + + top: "inception_4c/3x3_reduce-se4" + + name: "inception_4c/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se4" + + top: "inception_4c/3x3_reduce-se4" + + name: "inception_4c/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se4" + + top: "inception_4c/3x3-se4" + + name: "inception_4c/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se4" + + top: "inception_4c/3x3-se4" + + name: "inception_4c/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/5x5_reduce-se4" + + name: "inception_4c/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se4" + + top: "inception_4c/5x5_reduce-se4" + + name: "inception_4c/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se4" + + top: "inception_4c/5x5-se4" + + name: "inception_4c/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se4" + + top: "inception_4c/5x5-se4" + + name: "inception_4c/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/pool-se4" + + name: "inception_4c/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se4" + + top: "inception_4c/pool_proj-se4" + + name: "inception_4c/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se4" + + top: "inception_4c/pool_proj-se4" + + name: "inception_4c/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se4" + + bottom: "inception_4c/3x3-se4" + + bottom: "inception_4c/5x5-se4" + + bottom: "inception_4c/pool_proj-se4" + + top: "inception_4c/output-se4" + + name: "inception_4c/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/1x1-se4" + + name: "inception_4d/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se4" + + top: "inception_4d/1x1-se4" + + name: "inception_4d/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/3x3_reduce-se4" + + name: "inception_4d/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se4" + + top: "inception_4d/3x3_reduce-se4" + + name: "inception_4d/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se4" + + top: "inception_4d/3x3-se4" + + name: "inception_4d/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se4" + + top: "inception_4d/3x3-se4" + + name: "inception_4d/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/5x5_reduce-se4" + + name: "inception_4d/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se4" + + top: "inception_4d/5x5_reduce-se4" + + name: "inception_4d/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se4" + + top: "inception_4d/5x5-se4" + + name: "inception_4d/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se4" + + top: "inception_4d/5x5-se4" + + name: "inception_4d/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/pool-se4" + + name: "inception_4d/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se4" + + top: "inception_4d/pool_proj-se4" + + name: "inception_4d/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se4" + + top: "inception_4d/pool_proj-se4" + + name: "inception_4d/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se4" + + bottom: "inception_4d/3x3-se4" + + bottom: "inception_4d/5x5-se4" + + bottom: "inception_4d/pool_proj-se4" + + top: "inception_4d/output-se4" + + name: "inception_4d/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/1x1-se4" + + name: "inception_4e/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se4" + + top: "inception_4e/1x1-se4" + + name: "inception_4e/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/3x3_reduce-se4" + + name: "inception_4e/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se4" + + top: "inception_4e/3x3_reduce-se4" + + name: "inception_4e/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se4" + + top: "inception_4e/3x3-se4" + + name: "inception_4e/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se4" + + top: "inception_4e/3x3-se4" + + name: "inception_4e/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/5x5_reduce-se4" + + name: "inception_4e/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se4" + + top: "inception_4e/5x5_reduce-se4" + + name: "inception_4e/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se4" + + top: "inception_4e/5x5-se4" + + name: "inception_4e/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se4" + + top: "inception_4e/5x5-se4" + + name: "inception_4e/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/pool-se4" + + name: "inception_4e/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se4" + + top: "inception_4e/pool_proj-se4" + + name: "inception_4e/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se4" + + top: "inception_4e/pool_proj-se4" + + name: "inception_4e/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se4" + + bottom: "inception_4e/3x3-se4" + + bottom: "inception_4e/5x5-se4" + + bottom: "inception_4e/pool_proj-se4" + + top: "inception_4e/output-se4" + + name: "inception_4e/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se4" + + top: "pool4/3x3_s2-se4" + + name: "pool4/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/1x1-se4" + + name: "inception_5a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se4" + + top: "inception_5a/1x1-se4" + + name: "inception_5a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/3x3_reduce-se4" + + name: "inception_5a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se4" + + top: "inception_5a/3x3_reduce-se4" + + name: "inception_5a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se4" + + top: "inception_5a/3x3-se4" + + name: "inception_5a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se4" + + top: "inception_5a/3x3-se4" + + name: "inception_5a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/5x5_reduce-se4" + + name: "inception_5a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se4" + + top: "inception_5a/5x5_reduce-se4" + + name: "inception_5a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se4" + + top: "inception_5a/5x5-se4" + + name: "inception_5a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se4" + + top: "inception_5a/5x5-se4" + + name: "inception_5a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/pool-se4" + + name: "inception_5a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se4" + + top: "inception_5a/pool_proj-se4" + + name: "inception_5a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se4" + + top: "inception_5a/pool_proj-se4" + + name: "inception_5a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se4" + + bottom: "inception_5a/3x3-se4" + + bottom: "inception_5a/5x5-se4" + + bottom: "inception_5a/pool_proj-se4" + + top: "inception_5a/output-se4" + + name: "inception_5a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/1x1-se4" + + name: "inception_5b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se4" + + top: "inception_5b/1x1-se4" + + name: "inception_5b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/3x3_reduce-se4" + + name: "inception_5b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se4" + + top: "inception_5b/3x3_reduce-se4" + + name: "inception_5b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se4" + + top: "inception_5b/3x3-se4" + + name: "inception_5b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se4" + + top: "inception_5b/3x3-se4" + + name: "inception_5b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/5x5_reduce-se4" + + name: "inception_5b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se4" + + top: "inception_5b/5x5_reduce-se4" + + name: "inception_5b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se4" + + top: "inception_5b/5x5-se4" + + name: "inception_5b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se4" + + top: "inception_5b/5x5-se4" + + name: "inception_5b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/pool-se4" + + name: "inception_5b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se4" + + top: "inception_5b/pool_proj-se4" + + name: "inception_5b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se4" + + top: "inception_5b/pool_proj-se4" + + name: "inception_5b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se4" + + bottom: "inception_5b/3x3-se4" + + bottom: "inception_5b/5x5-se4" + + bottom: "inception_5b/pool_proj-se4" + + top: "inception_5b/output-se4" + + name: "inception_5b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se4" + + top: "pool5/7x7_s1-se4" + + name: "pool5/7x7_s1-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se4" + + top: "pool5/7x7_s1-se4" + + name: "pool5/drop_7x7_s1-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.5 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se4" + + top: "fc8-se4" + + name: "loss3/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 200 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se4" + + type: BNLL + + bottom: "fc8-se4" + + top: "fc8-se4" + +} + + + + + + + + +layers { + type:SLICE + name:"slice-fc8-se1" + bottom:"fc8-se1" + top: "slice1-1" + top: "slice1-2" + top: "slice1-3" + top: "slice1-4" + top: "slice1-5" + top: "slice1-6" + top: "slice1-7" + top: "slice1-8" + top: "slice1-9" + top: "slice1-10" + top: "slice1-11" + 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"slice3-181" + bottom: "slice3-182" + bottom: "slice3-183" + bottom: "slice3-184" + bottom: "slice3-185" + bottom: "slice3-186" + bottom: "slice3-187" + bottom: "slice3-188" + bottom: "slice3-189" + bottom: "slice3-190" + bottom: "slice3-191" + bottom: "slice3-192" + bottom: "slice3-193" + bottom: "slice3-194" + bottom: "slice3-195" + bottom: "slice3-196" + bottom: "slice3-197" + bottom: "slice3-198" + bottom: "slice3-199" + bottom: "slice3-200" + eltwise_param{ + operation:MAX + } +} +layers { + type:SLICE + name:"slice-fc8-se4" + bottom:"fc8-se4" + top: "slice4-1" + top: "slice4-2" + top: "slice4-3" + top: "slice4-4" + top: "slice4-5" + top: "slice4-6" + top: "slice4-7" + top: "slice4-8" + top: "slice4-9" + top: "slice4-10" + top: "slice4-11" + top: "slice4-12" + top: "slice4-13" + top: "slice4-14" + top: "slice4-15" + top: "slice4-16" + top: "slice4-17" + top: "slice4-18" + top: "slice4-19" + top: "slice4-20" + top: "slice4-21" + top: "slice4-22" + top: "slice4-23" + top: "slice4-24" + top: "slice4-25" + top: "slice4-26" + top: "slice4-27" + top: "slice4-28" + top: "slice4-29" + top: "slice4-30" + top: "slice4-31" + top: "slice4-32" + top: "slice4-33" + top: "slice4-34" + top: "slice4-35" + top: "slice4-36" + top: "slice4-37" + top: "slice4-38" + top: "slice4-39" + top: "slice4-40" + top: "slice4-41" + top: "slice4-42" + top: "slice4-43" + top: "slice4-44" + top: "slice4-45" + top: "slice4-46" + top: "slice4-47" + top: "slice4-48" + top: "slice4-49" + top: "slice4-50" + top: "slice4-51" + top: "slice4-52" + top: "slice4-53" + top: "slice4-54" + top: "slice4-55" + top: "slice4-56" + top: "slice4-57" + top: "slice4-58" + top: "slice4-59" + top: "slice4-60" + top: "slice4-61" + top: "slice4-62" + top: "slice4-63" + top: "slice4-64" + top: "slice4-65" + top: "slice4-66" + top: "slice4-67" + top: "slice4-68" + top: "slice4-69" + top: "slice4-70" + top: "slice4-71" + top: "slice4-72" + top: "slice4-73" + top: "slice4-74" + top: "slice4-75" + top: "slice4-76" + top: "slice4-77" + top: "slice4-78" + top: "slice4-79" + top: "slice4-80" + top: "slice4-81" + top: "slice4-82" + top: "slice4-83" + top: "slice4-84" + top: "slice4-85" + top: "slice4-86" + top: "slice4-87" + top: "slice4-88" + top: "slice4-89" + top: "slice4-90" + top: "slice4-91" + top: "slice4-92" + top: "slice4-93" + top: "slice4-94" + top: "slice4-95" + top: "slice4-96" + top: "slice4-97" + top: "slice4-98" + top: "slice4-99" + top: "slice4-100" + top: "slice4-101" + top: "slice4-102" + top: "slice4-103" + top: "slice4-104" + top: "slice4-105" + top: "slice4-106" + top: "slice4-107" + top: "slice4-108" + top: "slice4-109" + top: "slice4-110" + top: "slice4-111" + top: "slice4-112" + top: "slice4-113" + top: "slice4-114" + top: "slice4-115" + top: "slice4-116" + top: "slice4-117" + top: "slice4-118" + top: "slice4-119" + top: "slice4-120" + top: "slice4-121" + top: "slice4-122" + top: "slice4-123" + top: "slice4-124" + top: "slice4-125" + top: "slice4-126" + top: "slice4-127" + top: "slice4-128" + top: "slice4-129" + top: "slice4-130" + top: "slice4-131" + top: "slice4-132" + top: "slice4-133" + top: "slice4-134" + top: "slice4-135" + top: "slice4-136" + top: "slice4-137" + top: "slice4-138" + top: "slice4-139" + top: "slice4-140" + top: "slice4-141" + top: "slice4-142" + top: "slice4-143" + top: "slice4-144" + top: "slice4-145" + top: "slice4-146" + top: "slice4-147" + top: "slice4-148" + top: "slice4-149" + top: "slice4-150" + top: "slice4-151" + top: "slice4-152" + top: "slice4-153" + top: "slice4-154" + top: "slice4-155" + top: "slice4-156" + top: "slice4-157" + top: "slice4-158" + top: "slice4-159" + top: "slice4-160" + top: "slice4-161" + top: "slice4-162" + top: "slice4-163" + top: "slice4-164" + top: "slice4-165" + top: "slice4-166" + top: "slice4-167" + top: "slice4-168" + top: "slice4-169" + top: "slice4-170" + top: "slice4-171" + top: "slice4-172" + top: "slice4-173" + top: "slice4-174" + top: "slice4-175" + top: "slice4-176" + top: "slice4-177" + top: "slice4-178" + top: "slice4-179" + top: "slice4-180" + top: "slice4-181" + top: "slice4-182" + top: "slice4-183" + top: "slice4-184" + top: "slice4-185" + top: "slice4-186" + top: "slice4-187" + top: "slice4-188" + top: "slice4-189" + top: "slice4-190" + top: "slice4-191" + top: "slice4-192" + top: "slice4-193" + top: "slice4-194" + top: "slice4-195" + top: "slice4-196" + top: "slice4-197" + top: "slice4-198" + top: "slice4-199" + top: "slice4-200" +} +layers { + type:ELTWISE + name:"max-fc8-se4" + top:"max-fc8-se4" + bottom: "slice4-1" + bottom: "slice4-2" + bottom: "slice4-3" + bottom: "slice4-4" + bottom: "slice4-5" + bottom: "slice4-6" + bottom: "slice4-7" + bottom: "slice4-8" + bottom: "slice4-9" + bottom: "slice4-10" + bottom: "slice4-11" + bottom: "slice4-12" + bottom: "slice4-13" + bottom: "slice4-14" + bottom: "slice4-15" + bottom: "slice4-16" + bottom: "slice4-17" + bottom: "slice4-18" + bottom: "slice4-19" + bottom: "slice4-20" + bottom: "slice4-21" + bottom: "slice4-22" + bottom: "slice4-23" + bottom: "slice4-24" + bottom: "slice4-25" + bottom: "slice4-26" + bottom: "slice4-27" + bottom: "slice4-28" + bottom: "slice4-29" + bottom: "slice4-30" + bottom: "slice4-31" + bottom: "slice4-32" + bottom: "slice4-33" + bottom: "slice4-34" + bottom: "slice4-35" + bottom: "slice4-36" + bottom: "slice4-37" + bottom: "slice4-38" + bottom: "slice4-39" + bottom: "slice4-40" + bottom: "slice4-41" + bottom: "slice4-42" + bottom: "slice4-43" + bottom: "slice4-44" + bottom: "slice4-45" + bottom: "slice4-46" + bottom: "slice4-47" + bottom: "slice4-48" + bottom: "slice4-49" + bottom: "slice4-50" + bottom: "slice4-51" + bottom: "slice4-52" + bottom: "slice4-53" + bottom: "slice4-54" + bottom: "slice4-55" + bottom: "slice4-56" + bottom: "slice4-57" + bottom: "slice4-58" + bottom: "slice4-59" + bottom: "slice4-60" + bottom: "slice4-61" + bottom: "slice4-62" + bottom: "slice4-63" + bottom: "slice4-64" + bottom: "slice4-65" + bottom: "slice4-66" + bottom: "slice4-67" + bottom: "slice4-68" + bottom: "slice4-69" + bottom: "slice4-70" + bottom: "slice4-71" + bottom: "slice4-72" + bottom: "slice4-73" + bottom: "slice4-74" + bottom: "slice4-75" + bottom: "slice4-76" + bottom: "slice4-77" + bottom: "slice4-78" + bottom: "slice4-79" + bottom: "slice4-80" + bottom: "slice4-81" + bottom: "slice4-82" + bottom: "slice4-83" + bottom: "slice4-84" + bottom: "slice4-85" + bottom: "slice4-86" + bottom: "slice4-87" + bottom: "slice4-88" + bottom: "slice4-89" + bottom: "slice4-90" + bottom: "slice4-91" + bottom: "slice4-92" + bottom: "slice4-93" + bottom: "slice4-94" + bottom: "slice4-95" + bottom: "slice4-96" + bottom: "slice4-97" + bottom: "slice4-98" + bottom: "slice4-99" + bottom: "slice4-100" + bottom: "slice4-101" + bottom: "slice4-102" + bottom: "slice4-103" + bottom: "slice4-104" + bottom: "slice4-105" + bottom: "slice4-106" + bottom: "slice4-107" + bottom: "slice4-108" + bottom: "slice4-109" + bottom: "slice4-110" + bottom: "slice4-111" + bottom: "slice4-112" + bottom: "slice4-113" + bottom: "slice4-114" + bottom: "slice4-115" + bottom: "slice4-116" + bottom: "slice4-117" + bottom: "slice4-118" + bottom: "slice4-119" + bottom: "slice4-120" + bottom: "slice4-121" + bottom: "slice4-122" + bottom: "slice4-123" + bottom: "slice4-124" + bottom: "slice4-125" + bottom: "slice4-126" + bottom: "slice4-127" + bottom: "slice4-128" + bottom: "slice4-129" + bottom: "slice4-130" + bottom: "slice4-131" + bottom: "slice4-132" + bottom: "slice4-133" + bottom: "slice4-134" + bottom: "slice4-135" + bottom: "slice4-136" + bottom: "slice4-137" + bottom: "slice4-138" + bottom: "slice4-139" + bottom: "slice4-140" + bottom: "slice4-141" + bottom: "slice4-142" + bottom: "slice4-143" + bottom: "slice4-144" + bottom: "slice4-145" + bottom: "slice4-146" + bottom: "slice4-147" + bottom: "slice4-148" + bottom: "slice4-149" + bottom: "slice4-150" + bottom: "slice4-151" + bottom: "slice4-152" + bottom: "slice4-153" + bottom: "slice4-154" + bottom: "slice4-155" + bottom: "slice4-156" + bottom: "slice4-157" + bottom: "slice4-158" + bottom: "slice4-159" + bottom: "slice4-160" + bottom: "slice4-161" + bottom: "slice4-162" + bottom: "slice4-163" + bottom: "slice4-164" + bottom: "slice4-165" + bottom: "slice4-166" + bottom: "slice4-167" + bottom: "slice4-168" + bottom: "slice4-169" + bottom: "slice4-170" + bottom: "slice4-171" + bottom: "slice4-172" + bottom: "slice4-173" + bottom: "slice4-174" + bottom: "slice4-175" + bottom: "slice4-176" + bottom: "slice4-177" + bottom: "slice4-178" + bottom: "slice4-179" + bottom: "slice4-180" + bottom: "slice4-181" + bottom: "slice4-182" + bottom: "slice4-183" + bottom: "slice4-184" + bottom: "slice4-185" + bottom: "slice4-186" + bottom: "slice4-187" + bottom: "slice4-188" + bottom: "slice4-189" + bottom: "slice4-190" + bottom: "slice4-191" + bottom: "slice4-192" + bottom: "slice4-193" + bottom: "slice4-194" + bottom: "slice4-195" + bottom: "slice4-196" + bottom: "slice4-197" + bottom: "slice4-198" + bottom: "slice4-199" + bottom: "slice4-200" + eltwise_param{ + operation:MAX + } +} +layers { + name: "concat" + + bottom: "max-fc8-se1" + bottom: "max-fc8-se2" + bottom: "max-fc8-se3" + bottom: "max-fc8-se4" + top: "conf-ss" + type: CONCAT + concat_param { + concat_dim: 1 + } +} +layers { + name: "prob-ss" + type: SOFTMAX + bottom: "conf-ss" + top: "prob-ss" +} +layers { + name: "slice-prob-ss" + type: SLICE + bottom: "prob-ss" + top: "prob-sw1" + top: "prob-sw2" + top: "prob-sw3" + top: "prob-sw4" +} +layers { + name: "repmat-sw1" + type: INNER_PRODUCT + bottom: "prob-sw1" + top: "repmat-sw1" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 200 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss1" + bottom: "fc8-se1" + bottom: "repmat-sw1" + top: "weighted-prob-ss1" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-sw2" + type: INNER_PRODUCT + bottom: "prob-sw2" + top: "repmat-sw2" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 200 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss2" + bottom: "fc8-se2" + bottom: "repmat-sw2" + top: "weighted-prob-ss2" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-sw3" + type: INNER_PRODUCT + bottom: "prob-sw3" + top: "repmat-sw3" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 200 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss3" + bottom: "fc8-se3" + bottom: "repmat-sw3" + top: "weighted-prob-ss3" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-sw4" + type: INNER_PRODUCT + bottom: "prob-sw4" + top: "repmat-sw4" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 200 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss4" + bottom: "fc8-se4" + bottom: "repmat-sw4" + top: "weighted-prob-ss4" + eltwise_param { + operation: PROD + } +} +layers { + name: "sum-weighted-prob" + type: ELTWISE + bottom: "weighted-prob-ss1" + bottom: "weighted-prob-ss2" + bottom: "weighted-prob-ss3" + bottom: "weighted-prob-ss4" + top: "prob" + eltwise_param { + operation: SUM + } +} diff --git a/24-07/caffe/deploy/34-GoogleNet_birdsnap.prototxt b/24-07/caffe/deploy/34-GoogleNet_birdsnap.prototxt new file mode 100644 index 0000000..98b91d2 --- /dev/null +++ b/24-07/caffe/deploy/34-GoogleNet_birdsnap.prototxt @@ -0,0 +1,44456 @@ +name: "CnnMixture" + +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 226 +input_dim: 226 + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se1" + + name: "conv1/7x7_s2-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se1" + + top: "conv1/7x7_s2-se1" + + name: "conv1/relu_7x7-se1" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se1" + + top: "pool1/3x3_s2-se1" + + name: "pool1/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se1" + + top: "pool1/norm1-se1" + + name: "pool1/norm1-se1" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se1" + + top: "conv2/3x3_reduce-se1" + + name: "conv2/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se1" + + top: "conv2/3x3_reduce-se1" + + name: "conv2/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se1" + + top: "conv2/3x3-se1" + + name: "conv2/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se1" + + top: "conv2/3x3-se1" + + name: "conv2/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se1" + + top: "conv2/norm2-se1" + + name: "conv2/norm2-se1" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se1" + + top: "pool2/3x3_s2-se1" + + name: "pool2/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/1x1-se1" + + name: "inception_3a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se1" + + top: "inception_3a/1x1-se1" + + name: "inception_3a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/3x3_reduce-se1" + + name: "inception_3a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se1" + + top: "inception_3a/3x3_reduce-se1" + + name: "inception_3a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se1" + + top: "inception_3a/3x3-se1" + + name: "inception_3a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se1" + + top: "inception_3a/3x3-se1" + + name: "inception_3a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/5x5_reduce-se1" + + name: "inception_3a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se1" + + top: "inception_3a/5x5_reduce-se1" + + name: "inception_3a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se1" + + top: "inception_3a/5x5-se1" + + name: "inception_3a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se1" + + top: "inception_3a/5x5-se1" + + name: "inception_3a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/pool-se1" + + name: "inception_3a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se1" + + top: "inception_3a/pool_proj-se1" + + name: "inception_3a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se1" + + top: "inception_3a/pool_proj-se1" + + name: "inception_3a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se1" + + bottom: "inception_3a/3x3-se1" + + bottom: "inception_3a/5x5-se1" + + bottom: "inception_3a/pool_proj-se1" + + top: "inception_3a/output-se1" + + name: "inception_3a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/1x1-se1" + + name: "inception_3b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se1" + + top: "inception_3b/1x1-se1" + + name: "inception_3b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/3x3_reduce-se1" + + name: "inception_3b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se1" + + top: "inception_3b/3x3_reduce-se1" + + name: "inception_3b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se1" + + top: "inception_3b/3x3-se1" + + name: "inception_3b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se1" + + top: "inception_3b/3x3-se1" + + name: "inception_3b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/5x5_reduce-se1" + + name: "inception_3b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se1" + + top: "inception_3b/5x5_reduce-se1" + + name: "inception_3b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se1" + + top: "inception_3b/5x5-se1" + + name: "inception_3b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se1" + + top: "inception_3b/5x5-se1" + + name: "inception_3b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/pool-se1" + + name: "inception_3b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se1" + + top: "inception_3b/pool_proj-se1" + + name: "inception_3b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se1" + + top: "inception_3b/pool_proj-se1" + + name: "inception_3b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se1" + + bottom: "inception_3b/3x3-se1" + + bottom: "inception_3b/5x5-se1" + + bottom: "inception_3b/pool_proj-se1" + + top: "inception_3b/output-se1" + + name: "inception_3b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se1" + + top: "pool3/3x3_s2-se1" + + name: "pool3/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/1x1-se1" + + name: "inception_4a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se1" + + top: "inception_4a/1x1-se1" + + name: "inception_4a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/3x3_reduce-se1" + + name: "inception_4a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se1" + + top: "inception_4a/3x3_reduce-se1" + + name: "inception_4a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se1" + + top: "inception_4a/3x3-se1" + + name: "inception_4a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se1" + + top: "inception_4a/3x3-se1" + + name: "inception_4a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/5x5_reduce-se1" + + name: "inception_4a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se1" + + top: "inception_4a/5x5_reduce-se1" + + name: "inception_4a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se1" + + top: "inception_4a/5x5-se1" + + name: "inception_4a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se1" + + top: "inception_4a/5x5-se1" + + name: "inception_4a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/pool-se1" + + name: "inception_4a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se1" + + top: "inception_4a/pool_proj-se1" + + name: "inception_4a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se1" + + top: "inception_4a/pool_proj-se1" + + name: "inception_4a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se1" + + bottom: "inception_4a/3x3-se1" + + bottom: "inception_4a/5x5-se1" + + bottom: "inception_4a/pool_proj-se1" + + top: "inception_4a/output-se1" + + name: "inception_4a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "loss1/ave_pool-se1" + + name: "loss1/ave_pool-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se1" + + top: "loss1/conv-se1" + + name: "loss1/conv-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se1" + + top: "loss1/conv-se1" + + name: "loss1/relu_conv-se1" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se1" + + top: "loss1/fc-se1" + + name: "loss1/fc-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se1" + + top: "loss1/fc-se1" + + name: "loss1/relu_fc-se1" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se1" + + top: "loss1/fc-se1" + + name: "loss1/drop_fc-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se1" + + top: "fc-1-se1" + + name: "loss1/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se1" + + type: BNLL + + bottom: "fc-1-se1" + + top: "fc-1-se1" + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/1x1-se1" + + name: "inception_4b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se1" + + top: "inception_4b/1x1-se1" + + name: "inception_4b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/3x3_reduce-se1" + + name: "inception_4b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se1" + + top: "inception_4b/3x3_reduce-se1" + + name: "inception_4b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se1" + + top: "inception_4b/3x3-se1" + + name: "inception_4b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se1" + + top: "inception_4b/3x3-se1" + + name: "inception_4b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/5x5_reduce-se1" + + name: "inception_4b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se1" + + top: "inception_4b/5x5_reduce-se1" + + name: "inception_4b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se1" + + top: "inception_4b/5x5-se1" + + name: "inception_4b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se1" + + top: "inception_4b/5x5-se1" + + name: "inception_4b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/pool-se1" + + name: "inception_4b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se1" + + top: "inception_4b/pool_proj-se1" + + name: "inception_4b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se1" + + top: "inception_4b/pool_proj-se1" + + name: "inception_4b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se1" + + bottom: "inception_4b/3x3-se1" + + bottom: "inception_4b/5x5-se1" + + bottom: "inception_4b/pool_proj-se1" + + top: "inception_4b/output-se1" + + name: "inception_4b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/1x1-se1" + + name: "inception_4c/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se1" + + top: "inception_4c/1x1-se1" + + name: "inception_4c/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/3x3_reduce-se1" + + name: "inception_4c/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se1" + + top: "inception_4c/3x3_reduce-se1" + + name: "inception_4c/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se1" + + top: "inception_4c/3x3-se1" + + name: "inception_4c/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se1" + + top: "inception_4c/3x3-se1" + + name: "inception_4c/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/5x5_reduce-se1" + + name: "inception_4c/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se1" + + top: "inception_4c/5x5_reduce-se1" + + name: "inception_4c/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se1" + + top: "inception_4c/5x5-se1" + + name: "inception_4c/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se1" + + top: "inception_4c/5x5-se1" + + name: "inception_4c/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/pool-se1" + + name: "inception_4c/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se1" + + top: "inception_4c/pool_proj-se1" + + name: "inception_4c/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se1" + + top: "inception_4c/pool_proj-se1" + + name: "inception_4c/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se1" + + bottom: "inception_4c/3x3-se1" + + bottom: "inception_4c/5x5-se1" + + bottom: "inception_4c/pool_proj-se1" + + top: "inception_4c/output-se1" + + name: "inception_4c/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/1x1-se1" + + name: "inception_4d/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se1" + + top: "inception_4d/1x1-se1" + + name: "inception_4d/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/3x3_reduce-se1" + + name: "inception_4d/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se1" + + top: "inception_4d/3x3_reduce-se1" + + name: "inception_4d/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se1" + + top: "inception_4d/3x3-se1" + + name: "inception_4d/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + 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"inception_4d/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se1" + + top: "inception_4d/5x5-se1" + + name: "inception_4d/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/pool-se1" + + name: "inception_4d/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se1" + + top: "inception_4d/pool_proj-se1" + + name: "inception_4d/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se1" + + top: "inception_4d/pool_proj-se1" + + name: "inception_4d/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se1" + + bottom: "inception_4d/3x3-se1" + + bottom: "inception_4d/5x5-se1" + + bottom: "inception_4d/pool_proj-se1" + + top: "inception_4d/output-se1" + + name: "inception_4d/output-se1" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se1" + + top: "loss2/ave_pool-se1" + + name: "loss2/ave_pool-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se1" + + top: "loss2/conv-se1" + + name: "loss2/conv-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se1" + + top: "loss2/conv-se1" + + name: "loss2/relu_conv-se1" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se1" + + top: "loss2/fc-se1" + + name: "loss2/fc-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se1" + + top: "loss2/fc-se1" + + name: "loss2/relu_fc-se1" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se1" + + top: "loss2/fc-se1" + + name: "loss2/drop_fc-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se1" + + top: "fc-2-se1" + + name: "loss2/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se1" + + type: BNLL + + bottom: "fc-2-se1" + + top: "fc-2-se1" + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/1x1-se1" + + name: "inception_4e/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se1" + + top: "inception_4e/1x1-se1" + + name: "inception_4e/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/3x3_reduce-se1" + + name: "inception_4e/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se1" + + top: "inception_4e/3x3_reduce-se1" + + name: "inception_4e/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se1" + + top: "inception_4e/3x3-se1" + + name: "inception_4e/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se1" + + top: "inception_4e/3x3-se1" + + name: "inception_4e/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/5x5_reduce-se1" + + name: "inception_4e/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se1" + + top: "inception_4e/5x5_reduce-se1" + + name: "inception_4e/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se1" + + top: "inception_4e/5x5-se1" + + name: "inception_4e/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se1" + + top: "inception_4e/5x5-se1" + + name: "inception_4e/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/pool-se1" + + name: "inception_4e/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se1" + + top: "inception_4e/pool_proj-se1" + + name: "inception_4e/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se1" + + top: "inception_4e/pool_proj-se1" + + name: "inception_4e/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se1" + + bottom: "inception_4e/3x3-se1" + + bottom: "inception_4e/5x5-se1" + + bottom: "inception_4e/pool_proj-se1" + + top: "inception_4e/output-se1" + + name: "inception_4e/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se1" + + top: "pool4/3x3_s2-se1" + + name: "pool4/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/1x1-se1" + + name: "inception_5a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se1" + + top: "inception_5a/1x1-se1" + + name: "inception_5a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/3x3_reduce-se1" + + name: "inception_5a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se1" + + top: "inception_5a/3x3_reduce-se1" + + name: "inception_5a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se1" + + top: "inception_5a/3x3-se1" + + name: "inception_5a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se1" + + top: "inception_5a/3x3-se1" + + name: "inception_5a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/5x5_reduce-se1" + + name: "inception_5a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se1" + + top: "inception_5a/5x5_reduce-se1" + + name: "inception_5a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se1" + + top: "inception_5a/5x5-se1" + + name: "inception_5a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se1" + + top: "inception_5a/5x5-se1" + + name: "inception_5a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/pool-se1" + + name: "inception_5a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se1" + + top: "inception_5a/pool_proj-se1" + + name: "inception_5a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se1" + + top: "inception_5a/pool_proj-se1" + + name: "inception_5a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se1" + + bottom: "inception_5a/3x3-se1" + + bottom: "inception_5a/5x5-se1" + + bottom: "inception_5a/pool_proj-se1" + + top: "inception_5a/output-se1" + + name: "inception_5a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/1x1-se1" + + name: "inception_5b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se1" + + top: "inception_5b/1x1-se1" + + name: "inception_5b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/3x3_reduce-se1" + + name: "inception_5b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se1" + + top: "inception_5b/3x3_reduce-se1" + + name: "inception_5b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se1" + + top: "inception_5b/3x3-se1" + + name: "inception_5b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se1" + + top: "inception_5b/3x3-se1" + + name: "inception_5b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/5x5_reduce-se1" + + name: "inception_5b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se1" + + top: "inception_5b/5x5_reduce-se1" + + name: "inception_5b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se1" + + top: "inception_5b/5x5-se1" + + name: "inception_5b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se1" + + top: "inception_5b/5x5-se1" + + name: "inception_5b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/pool-se1" + + name: "inception_5b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se1" + + top: "inception_5b/pool_proj-se1" + + name: "inception_5b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se1" + + top: "inception_5b/pool_proj-se1" + + name: "inception_5b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se1" + + bottom: "inception_5b/3x3-se1" + + bottom: "inception_5b/5x5-se1" + + bottom: "inception_5b/pool_proj-se1" + + top: "inception_5b/output-se1" + + name: "inception_5b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se1" + + top: "pool5/7x7_s1-se1" + + name: "pool5/7x7_s1-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se1" + + top: "pool5/7x7_s1-se1" + + name: "pool5/drop_7x7_s1-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se1" + + top: "fc8-se1" + + name: "loss3/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se1" + + type: BNLL + + bottom: "fc8-se1" + + top: "fc8-se1" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se2" + + name: "conv1/7x7_s2-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se2" + + top: "conv1/7x7_s2-se2" + + name: "conv1/relu_7x7-se2" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se2" + + top: "pool1/3x3_s2-se2" + + name: "pool1/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se2" + + top: "pool1/norm1-se2" + + name: "pool1/norm1-se2" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se2" + + top: "conv2/3x3_reduce-se2" + + name: "conv2/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se2" + + top: "conv2/3x3_reduce-se2" + + name: "conv2/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se2" + + top: "conv2/3x3-se2" + + name: "conv2/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se2" + + top: "conv2/3x3-se2" + + name: "conv2/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se2" + + top: "conv2/norm2-se2" + + name: "conv2/norm2-se2" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se2" + + top: "pool2/3x3_s2-se2" + + name: "pool2/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/1x1-se2" + + name: "inception_3a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se2" + + top: "inception_3a/1x1-se2" + + name: "inception_3a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/3x3_reduce-se2" + + name: "inception_3a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se2" + + top: "inception_3a/3x3_reduce-se2" + + name: "inception_3a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se2" + + top: "inception_3a/3x3-se2" + + name: "inception_3a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se2" + + top: "inception_3a/3x3-se2" + + name: "inception_3a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/5x5_reduce-se2" + + name: "inception_3a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se2" + + top: "inception_3a/5x5_reduce-se2" + + name: "inception_3a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se2" + + top: "inception_3a/5x5-se2" + + name: "inception_3a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se2" + + top: "inception_3a/5x5-se2" + + name: "inception_3a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/pool-se2" + + name: "inception_3a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se2" + + top: "inception_3a/pool_proj-se2" + + name: "inception_3a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se2" + + top: "inception_3a/pool_proj-se2" + + name: "inception_3a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se2" + + bottom: "inception_3a/3x3-se2" + + bottom: "inception_3a/5x5-se2" + + bottom: "inception_3a/pool_proj-se2" + + top: "inception_3a/output-se2" + + name: "inception_3a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/1x1-se2" + + name: "inception_3b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se2" + + top: "inception_3b/1x1-se2" + + name: "inception_3b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/3x3_reduce-se2" + + name: "inception_3b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se2" + + top: "inception_3b/3x3_reduce-se2" + + name: "inception_3b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se2" + + top: "inception_3b/3x3-se2" + + name: "inception_3b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se2" + + top: "inception_3b/3x3-se2" + + name: "inception_3b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/5x5_reduce-se2" + + name: "inception_3b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se2" + + top: "inception_3b/5x5_reduce-se2" + + name: "inception_3b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se2" + + top: "inception_3b/5x5-se2" + + name: "inception_3b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se2" + + top: "inception_3b/5x5-se2" + + name: "inception_3b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/pool-se2" + + name: "inception_3b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se2" + + top: "inception_3b/pool_proj-se2" + + name: "inception_3b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se2" + + top: "inception_3b/pool_proj-se2" + + name: "inception_3b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se2" + + bottom: "inception_3b/3x3-se2" + + bottom: "inception_3b/5x5-se2" + + bottom: "inception_3b/pool_proj-se2" + + top: "inception_3b/output-se2" + + name: "inception_3b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se2" + + top: "pool3/3x3_s2-se2" + + name: "pool3/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/1x1-se2" + + name: "inception_4a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se2" + + top: "inception_4a/1x1-se2" + + name: "inception_4a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/3x3_reduce-se2" + + name: "inception_4a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se2" + + top: "inception_4a/3x3_reduce-se2" + + name: "inception_4a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se2" + + top: "inception_4a/3x3-se2" + + name: "inception_4a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se2" + + top: "inception_4a/3x3-se2" + + name: "inception_4a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/5x5_reduce-se2" + + name: "inception_4a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se2" + + top: "inception_4a/5x5_reduce-se2" + + name: "inception_4a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se2" + + top: "inception_4a/5x5-se2" + + name: "inception_4a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se2" + + top: "inception_4a/5x5-se2" + + name: "inception_4a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/pool-se2" + + name: "inception_4a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se2" + + top: "inception_4a/pool_proj-se2" + + name: "inception_4a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se2" + + top: "inception_4a/pool_proj-se2" + + name: "inception_4a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se2" + + bottom: "inception_4a/3x3-se2" + + bottom: "inception_4a/5x5-se2" + + bottom: "inception_4a/pool_proj-se2" + + top: "inception_4a/output-se2" + + name: "inception_4a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "loss1/ave_pool-se2" + + name: "loss1/ave_pool-se2" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se2" + + top: "loss1/conv-se2" + + name: "loss1/conv-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se2" + + top: "loss1/conv-se2" + + name: "loss1/relu_conv-se2" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se2" + + top: "loss1/fc-se2" + + name: "loss1/fc-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se2" + + top: "loss1/fc-se2" + + name: "loss1/relu_fc-se2" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se2" + + top: "loss1/fc-se2" + + name: "loss1/drop_fc-se2" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se2" + + top: "fc-1-se2" + + name: "loss1/classifier-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se2" + + type: BNLL + + bottom: "fc-1-se2" + + top: "fc-1-se2" + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/1x1-se2" + + name: "inception_4b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se2" + + top: "inception_4b/1x1-se2" + + name: "inception_4b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/3x3_reduce-se2" + + name: "inception_4b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se2" + + top: "inception_4b/3x3_reduce-se2" + + name: "inception_4b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se2" + + top: "inception_4b/3x3-se2" + + name: "inception_4b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se2" + + top: "inception_4b/3x3-se2" + + name: "inception_4b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/5x5_reduce-se2" + + name: "inception_4b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se2" + + top: "inception_4b/5x5_reduce-se2" + + name: "inception_4b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se2" + + top: "inception_4b/5x5-se2" + + name: "inception_4b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se2" + + top: "inception_4b/5x5-se2" + + name: "inception_4b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/pool-se2" + + name: "inception_4b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se2" + + top: "inception_4b/pool_proj-se2" + + name: "inception_4b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se2" + + top: "inception_4b/pool_proj-se2" + + name: "inception_4b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se2" + + bottom: "inception_4b/3x3-se2" + + bottom: "inception_4b/5x5-se2" + + bottom: "inception_4b/pool_proj-se2" + + top: "inception_4b/output-se2" + + name: "inception_4b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/1x1-se2" + + name: "inception_4c/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se2" + + top: "inception_4c/1x1-se2" + + name: "inception_4c/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/3x3_reduce-se2" + + name: "inception_4c/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se2" + + top: "inception_4c/3x3_reduce-se2" + + name: "inception_4c/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se2" + + top: "inception_4c/3x3-se2" + + name: "inception_4c/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se2" + + top: "inception_4c/3x3-se2" + + name: "inception_4c/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/5x5_reduce-se2" + + name: "inception_4c/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se2" + + top: "inception_4c/5x5_reduce-se2" + + name: "inception_4c/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se2" + + top: "inception_4c/5x5-se2" + + name: "inception_4c/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se2" + + top: "inception_4c/5x5-se2" + + name: "inception_4c/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se2" + + top: "inception_4c/pool-se2" + + name: "inception_4c/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se2" + + top: "inception_4c/pool_proj-se2" + + name: "inception_4c/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se2" + + top: "inception_4c/pool_proj-se2" + + name: "inception_4c/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se2" + + bottom: "inception_4c/3x3-se2" + + bottom: "inception_4c/5x5-se2" + + bottom: "inception_4c/pool_proj-se2" + + top: "inception_4c/output-se2" + + name: "inception_4c/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/1x1-se2" + + name: "inception_4d/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se2" + + top: "inception_4d/1x1-se2" + + name: "inception_4d/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/3x3_reduce-se2" + + name: "inception_4d/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se2" + + top: "inception_4d/3x3_reduce-se2" + + name: "inception_4d/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se2" + + top: "inception_4d/3x3-se2" + + name: "inception_4d/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se2" + + top: "inception_4d/3x3-se2" + + name: "inception_4d/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/5x5_reduce-se2" + + name: "inception_4d/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se2" + + top: "inception_4d/5x5_reduce-se2" + + name: "inception_4d/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se2" + + top: "inception_4d/5x5-se2" + + name: "inception_4d/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se2" + + top: "inception_4d/5x5-se2" + + name: "inception_4d/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/pool-se2" + + name: "inception_4d/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se2" + + top: "inception_4d/pool_proj-se2" + + name: "inception_4d/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se2" + + top: "inception_4d/pool_proj-se2" + + name: "inception_4d/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se2" + + bottom: "inception_4d/3x3-se2" + + bottom: "inception_4d/5x5-se2" + + bottom: "inception_4d/pool_proj-se2" + + top: "inception_4d/output-se2" + + name: "inception_4d/output-se2" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se2" + + top: "loss2/ave_pool-se2" + + name: "loss2/ave_pool-se2" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se2" + + top: "loss2/conv-se2" + + name: "loss2/conv-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se2" + + top: "loss2/conv-se2" + + name: "loss2/relu_conv-se2" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se2" + + top: "loss2/fc-se2" + + name: "loss2/fc-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se2" + + top: "loss2/fc-se2" + + name: "loss2/relu_fc-se2" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se2" + + top: "loss2/fc-se2" + + name: "loss2/drop_fc-se2" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se2" + + top: "fc-2-se2" + + name: "loss2/classifier-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se2" + + type: BNLL + + bottom: "fc-2-se2" + + top: "fc-2-se2" + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/1x1-se2" + + name: "inception_4e/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se2" + + top: "inception_4e/1x1-se2" + + name: "inception_4e/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/3x3_reduce-se2" + + name: "inception_4e/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se2" + + top: "inception_4e/3x3_reduce-se2" + + name: "inception_4e/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se2" + + top: "inception_4e/3x3-se2" + + name: "inception_4e/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se2" + + top: "inception_4e/3x3-se2" + + name: "inception_4e/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/5x5_reduce-se2" + + name: "inception_4e/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se2" + + top: "inception_4e/5x5_reduce-se2" + + name: "inception_4e/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se2" + + top: "inception_4e/5x5-se2" + + name: "inception_4e/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se2" + + top: "inception_4e/5x5-se2" + + name: "inception_4e/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/pool-se2" + + name: "inception_4e/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se2" + + top: "inception_4e/pool_proj-se2" + + name: "inception_4e/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se2" + + top: "inception_4e/pool_proj-se2" + + name: "inception_4e/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se2" + + bottom: "inception_4e/3x3-se2" + + bottom: "inception_4e/5x5-se2" + + bottom: "inception_4e/pool_proj-se2" + + top: "inception_4e/output-se2" + + name: "inception_4e/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se2" + + top: "pool4/3x3_s2-se2" + + name: "pool4/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/1x1-se2" + + name: "inception_5a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se2" + + top: "inception_5a/1x1-se2" + + name: "inception_5a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/3x3_reduce-se2" + + name: "inception_5a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se2" + + top: "inception_5a/3x3_reduce-se2" + + name: "inception_5a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se2" + + top: "inception_5a/3x3-se2" + + name: "inception_5a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se2" + + top: "inception_5a/3x3-se2" + + name: "inception_5a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/5x5_reduce-se2" + + name: "inception_5a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se2" + + top: "inception_5a/5x5_reduce-se2" + + name: "inception_5a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se2" + + top: "inception_5a/5x5-se2" + + name: "inception_5a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se2" + + top: "inception_5a/5x5-se2" + + name: "inception_5a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/pool-se2" + + name: "inception_5a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se2" + + top: "inception_5a/pool_proj-se2" + + name: "inception_5a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se2" + + top: "inception_5a/pool_proj-se2" + + name: "inception_5a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se2" + + bottom: "inception_5a/3x3-se2" + + bottom: "inception_5a/5x5-se2" + + bottom: "inception_5a/pool_proj-se2" + + top: "inception_5a/output-se2" + + name: "inception_5a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/1x1-se2" + + name: "inception_5b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se2" + + top: "inception_5b/1x1-se2" + + name: "inception_5b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/3x3_reduce-se2" + + name: "inception_5b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se2" + + top: "inception_5b/3x3_reduce-se2" + + name: "inception_5b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se2" + + top: "inception_5b/3x3-se2" + + name: "inception_5b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se2" + + top: "inception_5b/3x3-se2" + + name: "inception_5b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/5x5_reduce-se2" + + name: "inception_5b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se2" + + top: "inception_5b/5x5_reduce-se2" + + name: "inception_5b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se2" + + top: "inception_5b/5x5-se2" + + name: "inception_5b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se2" + + top: "inception_5b/5x5-se2" + + name: "inception_5b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/pool-se2" + + name: "inception_5b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se2" + + top: "inception_5b/pool_proj-se2" + + name: "inception_5b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se2" + + top: "inception_5b/pool_proj-se2" + + name: "inception_5b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se2" + + bottom: "inception_5b/3x3-se2" + + bottom: "inception_5b/5x5-se2" + + bottom: "inception_5b/pool_proj-se2" + + top: "inception_5b/output-se2" + + name: "inception_5b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se2" + + top: "pool5/7x7_s1-se2" + + name: "pool5/7x7_s1-se2" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se2" + + top: "pool5/7x7_s1-se2" + + name: "pool5/drop_7x7_s1-se2" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se2" + + top: "fc8-se2" + + name: "loss3/classifier-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se2" + + type: BNLL + + bottom: "fc8-se2" + + top: "fc8-se2" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se3" + + name: "conv1/7x7_s2-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se3" + + top: "conv1/7x7_s2-se3" + + name: "conv1/relu_7x7-se3" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se3" + + top: "pool1/3x3_s2-se3" + + name: "pool1/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se3" + + top: "pool1/norm1-se3" + + name: "pool1/norm1-se3" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se3" + + top: "conv2/3x3_reduce-se3" + + name: "conv2/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se3" + + top: "conv2/3x3_reduce-se3" + + name: "conv2/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se3" + + top: "conv2/3x3-se3" + + name: "conv2/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se3" + + top: "conv2/3x3-se3" + + name: "conv2/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se3" + + top: "conv2/norm2-se3" + + name: "conv2/norm2-se3" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se3" + + top: "pool2/3x3_s2-se3" + + name: "pool2/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/1x1-se3" + + name: "inception_3a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se3" + + top: "inception_3a/1x1-se3" + + name: "inception_3a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/3x3_reduce-se3" + + name: "inception_3a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se3" + + top: "inception_3a/3x3_reduce-se3" + + name: "inception_3a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se3" + + top: "inception_3a/3x3-se3" + + name: "inception_3a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se3" + + top: "inception_3a/3x3-se3" + + name: "inception_3a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/5x5_reduce-se3" + + name: "inception_3a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se3" + + top: "inception_3a/5x5_reduce-se3" + + name: "inception_3a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se3" + + top: "inception_3a/5x5-se3" + + name: "inception_3a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se3" + + top: "inception_3a/5x5-se3" + + name: "inception_3a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/pool-se3" + + name: "inception_3a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se3" + + top: "inception_3a/pool_proj-se3" + + name: "inception_3a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se3" + + top: "inception_3a/pool_proj-se3" + + name: "inception_3a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se3" + + bottom: "inception_3a/3x3-se3" + + bottom: "inception_3a/5x5-se3" + + bottom: "inception_3a/pool_proj-se3" + + top: "inception_3a/output-se3" + + name: "inception_3a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/1x1-se3" + + name: "inception_3b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se3" + + top: "inception_3b/1x1-se3" + + name: "inception_3b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/3x3_reduce-se3" + + name: "inception_3b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se3" + + top: "inception_3b/3x3_reduce-se3" + + name: "inception_3b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se3" + + top: "inception_3b/3x3-se3" + + name: "inception_3b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se3" + + top: "inception_3b/3x3-se3" + + name: "inception_3b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/5x5_reduce-se3" + + name: "inception_3b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se3" + + top: "inception_3b/5x5_reduce-se3" + + name: "inception_3b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se3" + + top: "inception_3b/5x5-se3" + + name: "inception_3b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se3" + + top: "inception_3b/5x5-se3" + + name: "inception_3b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/pool-se3" + + name: "inception_3b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se3" + + top: "inception_3b/pool_proj-se3" + + name: "inception_3b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se3" + + top: "inception_3b/pool_proj-se3" + + name: "inception_3b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se3" + + bottom: "inception_3b/3x3-se3" + + bottom: "inception_3b/5x5-se3" + + bottom: "inception_3b/pool_proj-se3" + + top: "inception_3b/output-se3" + + name: "inception_3b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se3" + + top: "pool3/3x3_s2-se3" + + name: "pool3/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/1x1-se3" + + name: "inception_4a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se3" + + top: "inception_4a/1x1-se3" + + name: "inception_4a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/3x3_reduce-se3" + + name: "inception_4a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se3" + + top: "inception_4a/3x3_reduce-se3" + + name: "inception_4a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se3" + + top: "inception_4a/3x3-se3" + + name: "inception_4a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se3" + + top: "inception_4a/3x3-se3" + + name: "inception_4a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/5x5_reduce-se3" + + name: "inception_4a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se3" + + top: "inception_4a/5x5_reduce-se3" + + name: "inception_4a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se3" + + top: "inception_4a/5x5-se3" + + name: "inception_4a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se3" + + top: "inception_4a/5x5-se3" + + name: "inception_4a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/pool-se3" + + name: "inception_4a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se3" + + top: "inception_4a/pool_proj-se3" + + name: "inception_4a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se3" + + top: "inception_4a/pool_proj-se3" + + name: "inception_4a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se3" + + bottom: "inception_4a/3x3-se3" + + bottom: "inception_4a/5x5-se3" + + bottom: "inception_4a/pool_proj-se3" + + top: "inception_4a/output-se3" + + name: "inception_4a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "loss1/ave_pool-se3" + + name: "loss1/ave_pool-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se3" + + top: "loss1/conv-se3" + + name: "loss1/conv-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se3" + + top: "loss1/conv-se3" + + name: "loss1/relu_conv-se3" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se3" + + top: "loss1/fc-se3" + + name: "loss1/fc-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se3" + + top: "loss1/fc-se3" + + name: "loss1/relu_fc-se3" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se3" + + top: "loss1/fc-se3" + + name: "loss1/drop_fc-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se3" + + top: "fc-1-se3" + + name: "loss1/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se3" + + type: BNLL + + bottom: "fc-1-se3" + + top: "fc-1-se3" + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/1x1-se3" + + name: "inception_4b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se3" + + top: "inception_4b/1x1-se3" + + name: "inception_4b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/3x3_reduce-se3" + + name: "inception_4b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se3" + + top: "inception_4b/3x3_reduce-se3" + + name: "inception_4b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se3" + + top: "inception_4b/3x3-se3" + + name: "inception_4b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se3" + + top: "inception_4b/3x3-se3" + + name: "inception_4b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/5x5_reduce-se3" + + name: "inception_4b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se3" + + top: "inception_4b/5x5_reduce-se3" + + name: "inception_4b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se3" + + top: "inception_4b/5x5-se3" + + name: "inception_4b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se3" + + top: "inception_4b/5x5-se3" + + name: "inception_4b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/pool-se3" + + name: "inception_4b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se3" + + top: "inception_4b/pool_proj-se3" + + name: "inception_4b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se3" + + top: "inception_4b/pool_proj-se3" + + name: "inception_4b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se3" + + bottom: "inception_4b/3x3-se3" + + bottom: "inception_4b/5x5-se3" + + bottom: "inception_4b/pool_proj-se3" + + top: "inception_4b/output-se3" + + name: "inception_4b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/1x1-se3" + + name: "inception_4c/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se3" + + top: "inception_4c/1x1-se3" + + name: "inception_4c/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/3x3_reduce-se3" + + name: "inception_4c/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se3" + + top: "inception_4c/3x3_reduce-se3" + + name: "inception_4c/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se3" + + top: "inception_4c/3x3-se3" + + name: "inception_4c/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se3" + + top: "inception_4c/3x3-se3" + + name: "inception_4c/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/5x5_reduce-se3" + + name: "inception_4c/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se3" + + top: "inception_4c/5x5_reduce-se3" + + name: "inception_4c/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se3" + + top: "inception_4c/5x5-se3" + + name: "inception_4c/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se3" + + top: "inception_4c/5x5-se3" + + name: "inception_4c/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/pool-se3" + + name: "inception_4c/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se3" + + top: "inception_4c/pool_proj-se3" + + name: "inception_4c/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se3" + + top: "inception_4c/pool_proj-se3" + + name: "inception_4c/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se3" + + bottom: "inception_4c/3x3-se3" + + bottom: "inception_4c/5x5-se3" + + bottom: "inception_4c/pool_proj-se3" + + top: "inception_4c/output-se3" + + name: "inception_4c/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/1x1-se3" + + name: "inception_4d/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se3" + + top: "inception_4d/1x1-se3" + + name: "inception_4d/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/3x3_reduce-se3" + + name: "inception_4d/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se3" + + top: "inception_4d/3x3_reduce-se3" + + name: "inception_4d/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se3" + + top: "inception_4d/3x3-se3" + + name: "inception_4d/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se3" + + top: "inception_4d/3x3-se3" + + name: "inception_4d/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/5x5_reduce-se3" + + name: "inception_4d/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se3" + + top: "inception_4d/5x5_reduce-se3" + + name: "inception_4d/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se3" + + top: "inception_4d/5x5-se3" + + name: "inception_4d/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se3" + + top: "inception_4d/5x5-se3" + + name: "inception_4d/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/pool-se3" + + name: "inception_4d/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se3" + + top: "inception_4d/pool_proj-se3" + + name: "inception_4d/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se3" + + top: "inception_4d/pool_proj-se3" + + name: "inception_4d/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se3" + + bottom: "inception_4d/3x3-se3" + + bottom: "inception_4d/5x5-se3" + + bottom: "inception_4d/pool_proj-se3" + + top: "inception_4d/output-se3" + + name: "inception_4d/output-se3" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se3" + + top: "loss2/ave_pool-se3" + + name: "loss2/ave_pool-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se3" + + top: "loss2/conv-se3" + + name: "loss2/conv-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se3" + + top: "loss2/conv-se3" + + name: "loss2/relu_conv-se3" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se3" + + top: "loss2/fc-se3" + + name: "loss2/fc-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se3" + + top: "loss2/fc-se3" + + name: "loss2/relu_fc-se3" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se3" + + top: "loss2/fc-se3" + + name: "loss2/drop_fc-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se3" + + top: "fc-2-se3" + + name: "loss2/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se3" + + type: BNLL + + bottom: "fc-2-se3" + + top: "fc-2-se3" + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/1x1-se3" + + name: "inception_4e/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se3" + + top: "inception_4e/1x1-se3" + + name: "inception_4e/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/3x3_reduce-se3" + + name: "inception_4e/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se3" + + top: "inception_4e/3x3_reduce-se3" + + name: "inception_4e/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se3" + + top: "inception_4e/3x3-se3" + + name: "inception_4e/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se3" + + top: "inception_4e/3x3-se3" + + name: "inception_4e/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/5x5_reduce-se3" + + name: "inception_4e/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se3" + + top: "inception_4e/5x5_reduce-se3" + + name: "inception_4e/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se3" + + top: "inception_4e/5x5-se3" + + name: "inception_4e/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se3" + + top: "inception_4e/5x5-se3" + + name: "inception_4e/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/pool-se3" + + name: "inception_4e/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se3" + + top: "inception_4e/pool_proj-se3" + + name: "inception_4e/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se3" + + top: "inception_4e/pool_proj-se3" + + name: "inception_4e/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se3" + + bottom: "inception_4e/3x3-se3" + + bottom: "inception_4e/5x5-se3" + + bottom: "inception_4e/pool_proj-se3" + + top: "inception_4e/output-se3" + + name: "inception_4e/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se3" + + top: "pool4/3x3_s2-se3" + + name: "pool4/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/1x1-se3" + + name: "inception_5a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se3" + + top: "inception_5a/1x1-se3" + + name: "inception_5a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/3x3_reduce-se3" + + name: "inception_5a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se3" + + top: "inception_5a/3x3_reduce-se3" + + name: "inception_5a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se3" + + top: "inception_5a/3x3-se3" + + name: "inception_5a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se3" + + top: "inception_5a/3x3-se3" + + name: "inception_5a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/5x5_reduce-se3" + + name: "inception_5a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se3" + + top: "inception_5a/5x5_reduce-se3" + + name: "inception_5a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se3" + + top: "inception_5a/5x5-se3" + + name: "inception_5a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se3" + + top: "inception_5a/5x5-se3" + + name: "inception_5a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/pool-se3" + + name: "inception_5a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se3" + + top: "inception_5a/pool_proj-se3" + + name: "inception_5a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se3" + + top: "inception_5a/pool_proj-se3" + + name: "inception_5a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se3" + + bottom: "inception_5a/3x3-se3" + + bottom: "inception_5a/5x5-se3" + + bottom: "inception_5a/pool_proj-se3" + + top: "inception_5a/output-se3" + + name: "inception_5a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/1x1-se3" + + name: "inception_5b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se3" + + top: "inception_5b/1x1-se3" + + name: "inception_5b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/3x3_reduce-se3" + + name: "inception_5b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se3" + + top: "inception_5b/3x3_reduce-se3" + + name: "inception_5b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se3" + + top: "inception_5b/3x3-se3" + + name: "inception_5b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se3" + + top: "inception_5b/3x3-se3" + + name: "inception_5b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/5x5_reduce-se3" + + name: "inception_5b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se3" + + top: "inception_5b/5x5_reduce-se3" + + name: "inception_5b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se3" + + top: "inception_5b/5x5-se3" + + name: "inception_5b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se3" + + top: "inception_5b/5x5-se3" + + name: "inception_5b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/pool-se3" + + name: "inception_5b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se3" + + top: "inception_5b/pool_proj-se3" + + name: "inception_5b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se3" + + top: "inception_5b/pool_proj-se3" + + name: "inception_5b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se3" + + bottom: "inception_5b/3x3-se3" + + bottom: "inception_5b/5x5-se3" + + bottom: "inception_5b/pool_proj-se3" + + top: "inception_5b/output-se3" + + name: "inception_5b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se3" + + top: "pool5/7x7_s1-se3" + + name: "pool5/7x7_s1-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se3" + + top: "pool5/7x7_s1-se3" + + name: "pool5/drop_7x7_s1-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se3" + + top: "fc8-se3" + + name: "loss3/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se3" + + type: BNLL + + bottom: "fc8-se3" + + top: "fc8-se3" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se4" + + name: "conv1/7x7_s2-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se4" + + top: "conv1/7x7_s2-se4" + + name: "conv1/relu_7x7-se4" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se4" + + top: "pool1/3x3_s2-se4" + + name: "pool1/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se4" + + top: "pool1/norm1-se4" + + name: "pool1/norm1-se4" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se4" + + top: "conv2/3x3_reduce-se4" + + name: "conv2/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se4" + + top: "conv2/3x3_reduce-se4" + + name: "conv2/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se4" + + top: "conv2/3x3-se4" + + name: "conv2/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se4" + + top: "conv2/3x3-se4" + + name: "conv2/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se4" + + top: "conv2/norm2-se4" + + name: "conv2/norm2-se4" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se4" + + top: "pool2/3x3_s2-se4" + + name: "pool2/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/1x1-se4" + + name: "inception_3a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se4" + + top: "inception_3a/1x1-se4" + + name: "inception_3a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/3x3_reduce-se4" + + name: "inception_3a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se4" + + top: "inception_3a/3x3_reduce-se4" + + name: "inception_3a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se4" + + top: "inception_3a/3x3-se4" + + name: "inception_3a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se4" + + top: "inception_3a/3x3-se4" + + name: "inception_3a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/5x5_reduce-se4" + + name: "inception_3a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se4" + + top: "inception_3a/5x5_reduce-se4" + + name: "inception_3a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se4" + + top: "inception_3a/5x5-se4" + + name: "inception_3a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se4" + + top: "inception_3a/5x5-se4" + + name: "inception_3a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/pool-se4" + + name: "inception_3a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se4" + + top: "inception_3a/pool_proj-se4" + + name: "inception_3a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se4" + + top: "inception_3a/pool_proj-se4" + + name: "inception_3a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se4" + + bottom: "inception_3a/3x3-se4" + + bottom: "inception_3a/5x5-se4" + + bottom: "inception_3a/pool_proj-se4" + + top: "inception_3a/output-se4" + + name: "inception_3a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/1x1-se4" + + name: "inception_3b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se4" + + top: "inception_3b/1x1-se4" + + name: "inception_3b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/3x3_reduce-se4" + + name: "inception_3b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se4" + + top: "inception_3b/3x3_reduce-se4" + + name: "inception_3b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se4" + + top: "inception_3b/3x3-se4" + + name: "inception_3b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se4" + + top: "inception_3b/3x3-se4" + + name: "inception_3b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/5x5_reduce-se4" + + name: "inception_3b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se4" + + top: "inception_3b/5x5_reduce-se4" + + name: "inception_3b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se4" + + top: "inception_3b/5x5-se4" + + name: "inception_3b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se4" + + top: "inception_3b/5x5-se4" + + name: "inception_3b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/pool-se4" + + name: "inception_3b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se4" + + top: "inception_3b/pool_proj-se4" + + name: "inception_3b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se4" + + top: "inception_3b/pool_proj-se4" + + name: "inception_3b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se4" + + bottom: "inception_3b/3x3-se4" + + bottom: "inception_3b/5x5-se4" + + bottom: "inception_3b/pool_proj-se4" + + top: "inception_3b/output-se4" + + name: "inception_3b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se4" + + top: "pool3/3x3_s2-se4" + + name: "pool3/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/1x1-se4" + + name: "inception_4a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se4" + + top: "inception_4a/1x1-se4" + + name: "inception_4a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/3x3_reduce-se4" + + name: "inception_4a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se4" + + top: "inception_4a/3x3_reduce-se4" + + name: "inception_4a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se4" + + top: "inception_4a/3x3-se4" + + name: "inception_4a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se4" + + top: "inception_4a/3x3-se4" + + name: "inception_4a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/5x5_reduce-se4" + + name: "inception_4a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se4" + + top: "inception_4a/5x5_reduce-se4" + + name: "inception_4a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se4" + + top: "inception_4a/5x5-se4" + + name: "inception_4a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se4" + + top: "inception_4a/5x5-se4" + + name: "inception_4a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/pool-se4" + + name: "inception_4a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se4" + + top: "inception_4a/pool_proj-se4" + + name: "inception_4a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se4" + + top: "inception_4a/pool_proj-se4" + + name: "inception_4a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se4" + + bottom: "inception_4a/3x3-se4" + + bottom: "inception_4a/5x5-se4" + + bottom: "inception_4a/pool_proj-se4" + + top: "inception_4a/output-se4" + + name: "inception_4a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "loss1/ave_pool-se4" + + name: "loss1/ave_pool-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se4" + + top: "loss1/conv-se4" + + name: "loss1/conv-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se4" + + top: "loss1/conv-se4" + + name: "loss1/relu_conv-se4" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se4" + + top: "loss1/fc-se4" + + name: "loss1/fc-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se4" + + top: "loss1/fc-se4" + + name: "loss1/relu_fc-se4" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se4" + + top: "loss1/fc-se4" + + name: "loss1/drop_fc-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se4" + + top: "fc-1-se4" + + name: "loss1/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se4" + + type: BNLL + + bottom: "fc-1-se4" + + top: "fc-1-se4" + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/1x1-se4" + + name: "inception_4b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se4" + + top: "inception_4b/1x1-se4" + + name: "inception_4b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/3x3_reduce-se4" + + name: "inception_4b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se4" + + top: "inception_4b/3x3_reduce-se4" + + name: "inception_4b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se4" + + top: "inception_4b/3x3-se4" + + name: "inception_4b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se4" + + top: "inception_4b/3x3-se4" + + name: "inception_4b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/5x5_reduce-se4" + + name: "inception_4b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se4" + + top: "inception_4b/5x5_reduce-se4" + + name: "inception_4b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se4" + + top: "inception_4b/5x5-se4" + + name: "inception_4b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se4" + + top: "inception_4b/5x5-se4" + + name: "inception_4b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/pool-se4" + + name: "inception_4b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se4" + + top: "inception_4b/pool_proj-se4" + + name: "inception_4b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se4" + + top: "inception_4b/pool_proj-se4" + + name: "inception_4b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se4" + + bottom: "inception_4b/3x3-se4" + + bottom: "inception_4b/5x5-se4" + + bottom: "inception_4b/pool_proj-se4" + + top: "inception_4b/output-se4" + + name: "inception_4b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/1x1-se4" + + name: "inception_4c/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se4" + + top: "inception_4c/1x1-se4" + + name: "inception_4c/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/3x3_reduce-se4" + + name: "inception_4c/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se4" + + top: "inception_4c/3x3_reduce-se4" + + name: "inception_4c/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se4" + + top: "inception_4c/3x3-se4" + + name: "inception_4c/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se4" + + top: "inception_4c/3x3-se4" + + name: "inception_4c/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/5x5_reduce-se4" + + name: "inception_4c/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se4" + + top: "inception_4c/5x5_reduce-se4" + + name: "inception_4c/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se4" + + top: "inception_4c/5x5-se4" + + name: "inception_4c/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se4" + + top: "inception_4c/5x5-se4" + + name: "inception_4c/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/pool-se4" + + name: "inception_4c/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se4" + + top: "inception_4c/pool_proj-se4" + + name: "inception_4c/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se4" + + top: "inception_4c/pool_proj-se4" + + name: "inception_4c/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se4" + + bottom: "inception_4c/3x3-se4" + + bottom: "inception_4c/5x5-se4" + + bottom: "inception_4c/pool_proj-se4" + + top: "inception_4c/output-se4" + + name: "inception_4c/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/1x1-se4" + + name: "inception_4d/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se4" + + top: "inception_4d/1x1-se4" + + name: "inception_4d/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/3x3_reduce-se4" + + name: "inception_4d/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se4" + + top: "inception_4d/3x3_reduce-se4" + + name: "inception_4d/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se4" + + top: "inception_4d/3x3-se4" + + name: "inception_4d/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se4" + + top: "inception_4d/3x3-se4" + + name: "inception_4d/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/5x5_reduce-se4" + + name: "inception_4d/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se4" + + top: "inception_4d/5x5_reduce-se4" + + name: "inception_4d/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se4" + + top: "inception_4d/5x5-se4" + + name: "inception_4d/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se4" + + top: "inception_4d/5x5-se4" + + name: "inception_4d/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/pool-se4" + + name: "inception_4d/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se4" + + top: "inception_4d/pool_proj-se4" + + name: "inception_4d/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se4" + + top: "inception_4d/pool_proj-se4" + + name: "inception_4d/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se4" + + bottom: "inception_4d/3x3-se4" + + bottom: "inception_4d/5x5-se4" + + bottom: "inception_4d/pool_proj-se4" + + top: "inception_4d/output-se4" + + name: "inception_4d/output-se4" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se4" + + top: "loss2/ave_pool-se4" + + name: "loss2/ave_pool-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se4" + + top: "loss2/conv-se4" + + name: "loss2/conv-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se4" + + top: "loss2/conv-se4" + + name: "loss2/relu_conv-se4" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se4" + + top: "loss2/fc-se4" + + name: "loss2/fc-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se4" + + top: "loss2/fc-se4" + + name: "loss2/relu_fc-se4" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se4" + + top: "loss2/fc-se4" + + name: "loss2/drop_fc-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se4" + + top: "fc-2-se4" + + name: "loss2/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se4" + + type: BNLL + + bottom: "fc-2-se4" + + top: "fc-2-se4" + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/1x1-se4" + + name: "inception_4e/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se4" + + top: "inception_4e/1x1-se4" + + name: "inception_4e/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/3x3_reduce-se4" + + name: "inception_4e/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se4" + + top: "inception_4e/3x3_reduce-se4" + + name: "inception_4e/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se4" + + top: "inception_4e/3x3-se4" + + name: "inception_4e/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se4" + + top: "inception_4e/3x3-se4" + + name: "inception_4e/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/5x5_reduce-se4" + + name: "inception_4e/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se4" + + top: "inception_4e/5x5_reduce-se4" + + name: "inception_4e/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se4" + + top: "inception_4e/5x5-se4" + + name: "inception_4e/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se4" + + top: "inception_4e/5x5-se4" + + name: "inception_4e/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/pool-se4" + + name: "inception_4e/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se4" + + top: "inception_4e/pool_proj-se4" + + name: "inception_4e/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se4" + + top: "inception_4e/pool_proj-se4" + + name: "inception_4e/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se4" + + bottom: "inception_4e/3x3-se4" + + bottom: "inception_4e/5x5-se4" + + bottom: "inception_4e/pool_proj-se4" + + top: "inception_4e/output-se4" + + name: "inception_4e/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se4" + + top: "pool4/3x3_s2-se4" + + name: "pool4/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/1x1-se4" + + name: "inception_5a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se4" + + top: "inception_5a/1x1-se4" + + name: "inception_5a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/3x3_reduce-se4" + + name: "inception_5a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se4" + + top: "inception_5a/3x3_reduce-se4" + + name: "inception_5a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se4" + + top: "inception_5a/3x3-se4" + + name: "inception_5a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se4" + + top: "inception_5a/3x3-se4" + + name: "inception_5a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/5x5_reduce-se4" + + name: "inception_5a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se4" + + top: "inception_5a/5x5_reduce-se4" + + name: "inception_5a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se4" + + top: "inception_5a/5x5-se4" + + name: "inception_5a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se4" + + top: "inception_5a/5x5-se4" + + name: "inception_5a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/pool-se4" + + name: "inception_5a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se4" + + top: "inception_5a/pool_proj-se4" + + name: "inception_5a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se4" + + top: "inception_5a/pool_proj-se4" + + name: "inception_5a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se4" + + bottom: "inception_5a/3x3-se4" + + bottom: "inception_5a/5x5-se4" + + bottom: "inception_5a/pool_proj-se4" + + top: "inception_5a/output-se4" + + name: "inception_5a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/1x1-se4" + + name: "inception_5b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se4" + + top: "inception_5b/1x1-se4" + + name: "inception_5b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/3x3_reduce-se4" + + name: "inception_5b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se4" + + top: "inception_5b/3x3_reduce-se4" + + name: "inception_5b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se4" + + top: "inception_5b/3x3-se4" + + name: "inception_5b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se4" + + top: "inception_5b/3x3-se4" + + name: "inception_5b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/5x5_reduce-se4" + + name: "inception_5b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se4" + + top: "inception_5b/5x5_reduce-se4" + + name: "inception_5b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se4" + + top: "inception_5b/5x5-se4" + + name: "inception_5b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se4" + + top: "inception_5b/5x5-se4" + + name: "inception_5b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/pool-se4" + + name: "inception_5b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se4" + + top: "inception_5b/pool_proj-se4" + + name: "inception_5b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se4" + + top: "inception_5b/pool_proj-se4" + + name: "inception_5b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se4" + + bottom: "inception_5b/3x3-se4" + + bottom: "inception_5b/5x5-se4" + + bottom: "inception_5b/pool_proj-se4" + + top: "inception_5b/output-se4" + + name: "inception_5b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se4" + + top: "pool5/7x7_s1-se4" + + name: "pool5/7x7_s1-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se4" + + top: "pool5/7x7_s1-se4" + + name: "pool5/drop_7x7_s1-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se4" + + top: "fc8-se4" + + name: "loss3/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se4" + + type: BNLL + + bottom: "fc8-se4" + + top: "fc8-se4" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se5" + + name: "conv1/7x7_s2-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se5" + + top: "conv1/7x7_s2-se5" + + name: "conv1/relu_7x7-se5" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se5" + + top: "pool1/3x3_s2-se5" + + name: "pool1/3x3_s2-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se5" + + top: "pool1/norm1-se5" + + name: "pool1/norm1-se5" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se5" + + top: "conv2/3x3_reduce-se5" + + name: "conv2/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se5" + + top: "conv2/3x3_reduce-se5" + + name: "conv2/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se5" + + top: "conv2/3x3-se5" + + name: "conv2/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se5" + + top: "conv2/3x3-se5" + + name: "conv2/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se5" + + top: "conv2/norm2-se5" + + name: "conv2/norm2-se5" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se5" + + top: "pool2/3x3_s2-se5" + + name: "pool2/3x3_s2-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se5" + + top: "inception_3a/1x1-se5" + + name: "inception_3a/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se5" + + top: "inception_3a/1x1-se5" + + name: "inception_3a/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se5" + + top: "inception_3a/3x3_reduce-se5" + + name: "inception_3a/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se5" + + top: "inception_3a/3x3_reduce-se5" + + name: "inception_3a/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se5" + + top: "inception_3a/3x3-se5" + + name: "inception_3a/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se5" + + top: "inception_3a/3x3-se5" + + name: "inception_3a/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se5" + + top: "inception_3a/5x5_reduce-se5" + + name: "inception_3a/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se5" + + top: "inception_3a/5x5_reduce-se5" + + name: "inception_3a/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se5" + + top: "inception_3a/5x5-se5" + + name: "inception_3a/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se5" + + top: "inception_3a/5x5-se5" + + name: "inception_3a/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se5" + + top: "inception_3a/pool-se5" + + name: "inception_3a/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se5" + + top: "inception_3a/pool_proj-se5" + + name: "inception_3a/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se5" + + top: "inception_3a/pool_proj-se5" + + name: "inception_3a/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se5" + + bottom: "inception_3a/3x3-se5" + + bottom: "inception_3a/5x5-se5" + + bottom: "inception_3a/pool_proj-se5" + + top: "inception_3a/output-se5" + + name: "inception_3a/output-se5" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se5" + + top: "inception_3b/1x1-se5" + + name: "inception_3b/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se5" + + top: "inception_3b/1x1-se5" + + name: "inception_3b/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se5" + + top: "inception_3b/3x3_reduce-se5" + + name: "inception_3b/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se5" + + top: "inception_3b/3x3_reduce-se5" + + name: "inception_3b/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se5" + + top: "inception_3b/3x3-se5" + + name: "inception_3b/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se5" + + top: "inception_3b/3x3-se5" + + name: "inception_3b/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se5" + + top: "inception_3b/5x5_reduce-se5" + + name: "inception_3b/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se5" + + top: "inception_3b/5x5_reduce-se5" + + name: "inception_3b/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se5" + + top: "inception_3b/5x5-se5" + + name: "inception_3b/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se5" + + top: "inception_3b/5x5-se5" + + name: "inception_3b/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se5" + + top: "inception_3b/pool-se5" + + name: "inception_3b/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se5" + + top: "inception_3b/pool_proj-se5" + + name: "inception_3b/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se5" + + top: "inception_3b/pool_proj-se5" + + name: "inception_3b/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se5" + + bottom: "inception_3b/3x3-se5" + + bottom: "inception_3b/5x5-se5" + + bottom: "inception_3b/pool_proj-se5" + + top: "inception_3b/output-se5" + + name: "inception_3b/output-se5" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se5" + + top: "pool3/3x3_s2-se5" + + name: "pool3/3x3_s2-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se5" + + top: "inception_4a/1x1-se5" + + name: "inception_4a/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se5" + + top: "inception_4a/1x1-se5" + + name: "inception_4a/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se5" + + top: "inception_4a/3x3_reduce-se5" + + name: "inception_4a/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se5" + + top: "inception_4a/3x3_reduce-se5" + + name: "inception_4a/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se5" + + top: "inception_4a/3x3-se5" + + name: "inception_4a/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se5" + + top: "inception_4a/3x3-se5" + + name: "inception_4a/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se5" + + top: "inception_4a/5x5_reduce-se5" + + name: "inception_4a/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se5" + + top: "inception_4a/5x5_reduce-se5" + + name: "inception_4a/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se5" + + top: "inception_4a/5x5-se5" + + name: "inception_4a/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se5" + + top: "inception_4a/5x5-se5" + + name: "inception_4a/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se5" + + top: "inception_4a/pool-se5" + + name: "inception_4a/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se5" + + top: "inception_4a/pool_proj-se5" + + name: "inception_4a/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se5" + + top: "inception_4a/pool_proj-se5" + + name: "inception_4a/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se5" + + bottom: "inception_4a/3x3-se5" + + bottom: "inception_4a/5x5-se5" + + bottom: "inception_4a/pool_proj-se5" + + top: "inception_4a/output-se5" + + name: "inception_4a/output-se5" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se5" + + top: "loss1/ave_pool-se5" + + name: "loss1/ave_pool-se5" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se5" + + top: "loss1/conv-se5" + + name: "loss1/conv-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se5" + + top: "loss1/conv-se5" + + name: "loss1/relu_conv-se5" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se5" + + top: "loss1/fc-se5" + + name: "loss1/fc-se5" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se5" + + top: "loss1/fc-se5" + + name: "loss1/relu_fc-se5" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se5" + + top: "loss1/fc-se5" + + name: "loss1/drop_fc-se5" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se5" + + top: "fc-1-se5" + + name: "loss1/classifier-se5" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se5" + + type: BNLL + + bottom: "fc-1-se5" + + top: "fc-1-se5" + +} + +layers { + + bottom: "inception_4a/output-se5" + + top: "inception_4b/1x1-se5" + + name: "inception_4b/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se5" + + top: "inception_4b/1x1-se5" + + name: "inception_4b/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se5" + + top: "inception_4b/3x3_reduce-se5" + + name: "inception_4b/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se5" + + top: "inception_4b/3x3_reduce-se5" + + name: "inception_4b/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se5" + + top: "inception_4b/3x3-se5" + + name: "inception_4b/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se5" + + top: "inception_4b/3x3-se5" + + name: "inception_4b/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se5" + + top: "inception_4b/5x5_reduce-se5" + + name: "inception_4b/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se5" + + top: "inception_4b/5x5_reduce-se5" + + name: "inception_4b/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se5" + + top: "inception_4b/5x5-se5" + + name: "inception_4b/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + 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"inception_4c/5x5_reduce-se5" + + name: "inception_4c/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se5" + + top: "inception_4c/5x5_reduce-se5" + + name: "inception_4c/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se5" + + top: "inception_4c/5x5-se5" + + name: "inception_4c/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se5" + + top: "inception_4c/5x5-se5" + + name: "inception_4c/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se5" + + top: "inception_4c/pool-se5" + + name: "inception_4c/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se5" + + top: "inception_4c/pool_proj-se5" + + name: "inception_4c/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se5" + + top: "inception_4c/pool_proj-se5" + + name: "inception_4c/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se5" + + bottom: "inception_4c/3x3-se5" + + bottom: "inception_4c/5x5-se5" + + bottom: "inception_4c/pool_proj-se5" + + top: "inception_4c/output-se5" + + name: "inception_4c/output-se5" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se5" + + top: "inception_4d/1x1-se5" + + name: "inception_4d/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se5" + + top: "inception_4d/1x1-se5" + + name: "inception_4d/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se5" + + top: "inception_4d/3x3_reduce-se5" + + name: "inception_4d/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se5" + + top: "inception_4d/3x3_reduce-se5" + + name: "inception_4d/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se5" + + top: "inception_4d/3x3-se5" + + name: "inception_4d/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se5" + + top: "inception_4d/3x3-se5" + + name: "inception_4d/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se5" + + top: "inception_4d/5x5_reduce-se5" + + name: "inception_4d/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se5" + + top: "inception_4d/5x5_reduce-se5" + + name: "inception_4d/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se5" + + top: "inception_4d/5x5-se5" + + name: "inception_4d/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se5" + + top: "inception_4d/5x5-se5" + + name: "inception_4d/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se5" + + top: "inception_4d/pool-se5" + + name: "inception_4d/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se5" + + top: "inception_4d/pool_proj-se5" + + name: "inception_4d/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se5" + + top: "inception_4d/pool_proj-se5" + + name: "inception_4d/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se5" + + bottom: "inception_4d/3x3-se5" + + bottom: "inception_4d/5x5-se5" + + bottom: "inception_4d/pool_proj-se5" + + top: "inception_4d/output-se5" + + name: "inception_4d/output-se5" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se5" + + top: "loss2/ave_pool-se5" + + name: "loss2/ave_pool-se5" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se5" + + top: "loss2/conv-se5" + + name: "loss2/conv-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se5" + + top: "loss2/conv-se5" + + name: "loss2/relu_conv-se5" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se5" + + top: "loss2/fc-se5" + + name: "loss2/fc-se5" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se5" + + top: "loss2/fc-se5" + + name: "loss2/relu_fc-se5" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se5" + + top: "loss2/fc-se5" + + name: "loss2/drop_fc-se5" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se5" + + top: "fc-2-se5" + + name: "loss2/classifier-se5" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se5" + + type: BNLL + + bottom: "fc-2-se5" + + top: "fc-2-se5" + +} + +layers { + + bottom: "inception_4d/output-se5" + + top: "inception_4e/1x1-se5" + + name: "inception_4e/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se5" + + top: "inception_4e/1x1-se5" + + name: "inception_4e/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se5" + + top: "inception_4e/3x3_reduce-se5" + + name: "inception_4e/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se5" + + top: "inception_4e/3x3_reduce-se5" + + name: "inception_4e/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se5" + + top: "inception_4e/3x3-se5" + + name: "inception_4e/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se5" + + top: "inception_4e/3x3-se5" + + name: "inception_4e/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se5" + + top: "inception_4e/5x5_reduce-se5" + + name: "inception_4e/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se5" + + top: "inception_4e/5x5_reduce-se5" + 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"inception_5a/3x3_reduce-se5" + + top: "inception_5a/3x3-se5" + + name: "inception_5a/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se5" + + top: "inception_5a/3x3-se5" + + name: "inception_5a/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se5" + + top: "inception_5a/5x5_reduce-se5" + + name: "inception_5a/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se5" + + top: "inception_5a/5x5_reduce-se5" + + name: "inception_5a/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se5" + + top: "inception_5a/5x5-se5" + + name: "inception_5a/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se5" + + top: "inception_5a/5x5-se5" + + name: "inception_5a/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se5" + + top: "inception_5a/pool-se5" + + name: "inception_5a/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se5" + + top: "inception_5a/pool_proj-se5" + + name: "inception_5a/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se5" + + top: "inception_5a/pool_proj-se5" + + name: "inception_5a/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se5" + + bottom: "inception_5a/3x3-se5" + + bottom: "inception_5a/5x5-se5" + + bottom: "inception_5a/pool_proj-se5" + + top: "inception_5a/output-se5" + + name: "inception_5a/output-se5" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se5" + + top: "inception_5b/1x1-se5" + + name: "inception_5b/1x1-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se5" + + top: "inception_5b/1x1-se5" + + name: "inception_5b/relu_1x1-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se5" + + top: "inception_5b/3x3_reduce-se5" + + name: "inception_5b/3x3_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se5" + + top: "inception_5b/3x3_reduce-se5" + + name: "inception_5b/relu_3x3_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se5" + + top: "inception_5b/3x3-se5" + + name: "inception_5b/3x3-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se5" + + top: "inception_5b/3x3-se5" + + name: "inception_5b/relu_3x3-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se5" + + top: "inception_5b/5x5_reduce-se5" + + name: "inception_5b/5x5_reduce-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se5" + + top: "inception_5b/5x5_reduce-se5" + + name: "inception_5b/relu_5x5_reduce-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se5" + + top: "inception_5b/5x5-se5" + + name: "inception_5b/5x5-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se5" + + top: "inception_5b/5x5-se5" + + name: "inception_5b/relu_5x5-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se5" + + top: "inception_5b/pool-se5" + + name: "inception_5b/pool-se5" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se5" + + top: "inception_5b/pool_proj-se5" + + name: "inception_5b/pool_proj-se5" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se5" + + top: "inception_5b/pool_proj-se5" + + name: "inception_5b/relu_pool_proj-se5" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se5" + + bottom: "inception_5b/3x3-se5" + + bottom: "inception_5b/5x5-se5" + + bottom: "inception_5b/pool_proj-se5" + + top: "inception_5b/output-se5" + + name: "inception_5b/output-se5" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se5" + + top: "pool5/7x7_s1-se5" + + name: "pool5/7x7_s1-se5" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se5" + + top: "pool5/7x7_s1-se5" + + name: "pool5/drop_7x7_s1-se5" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se5" + + top: "fc8-se5" + + name: "loss3/classifier-se5" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se5" + + type: BNLL + + bottom: "fc8-se5" + + top: "fc8-se5" + +} + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se6" + + name: "conv1/7x7_s2-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se6" + + top: "conv1/7x7_s2-se6" + + name: "conv1/relu_7x7-se6" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se6" + + top: "pool1/3x3_s2-se6" + + name: "pool1/3x3_s2-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se6" + + top: "pool1/norm1-se6" + + name: "pool1/norm1-se6" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se6" + + top: "conv2/3x3_reduce-se6" + + name: "conv2/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se6" + + top: "conv2/3x3_reduce-se6" + + name: "conv2/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se6" + + top: "conv2/3x3-se6" + + name: "conv2/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se6" + + top: "conv2/3x3-se6" + + name: "conv2/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se6" + + top: "conv2/norm2-se6" + + name: "conv2/norm2-se6" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se6" + + top: "pool2/3x3_s2-se6" + + name: "pool2/3x3_s2-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se6" + + top: "inception_3a/1x1-se6" + + name: "inception_3a/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se6" + + top: "inception_3a/1x1-se6" + + name: "inception_3a/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se6" + + top: "inception_3a/3x3_reduce-se6" + + name: "inception_3a/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se6" + + top: "inception_3a/3x3_reduce-se6" + + name: "inception_3a/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se6" + + top: "inception_3a/3x3-se6" + + name: "inception_3a/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se6" + + top: "inception_3a/3x3-se6" + + name: "inception_3a/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se6" + + top: "inception_3a/5x5_reduce-se6" + + name: "inception_3a/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se6" + + top: "inception_3a/5x5_reduce-se6" + + name: "inception_3a/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se6" + + top: "inception_3a/5x5-se6" + + name: "inception_3a/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se6" + + top: "inception_3a/5x5-se6" + + name: "inception_3a/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se6" + + top: "inception_3a/pool-se6" + + name: "inception_3a/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se6" + + top: "inception_3a/pool_proj-se6" + + name: "inception_3a/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se6" + + top: "inception_3a/pool_proj-se6" + + name: "inception_3a/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se6" + + bottom: "inception_3a/3x3-se6" + + bottom: "inception_3a/5x5-se6" + + bottom: "inception_3a/pool_proj-se6" + + top: "inception_3a/output-se6" + + name: "inception_3a/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se6" + + top: "inception_3b/1x1-se6" + + name: "inception_3b/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se6" + + top: "inception_3b/1x1-se6" + + name: "inception_3b/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se6" + + top: "inception_3b/3x3_reduce-se6" + + name: "inception_3b/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se6" + + top: "inception_3b/3x3_reduce-se6" + + name: "inception_3b/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se6" + + top: "inception_3b/3x3-se6" + + name: "inception_3b/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se6" + + top: "inception_3b/3x3-se6" + + name: "inception_3b/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se6" + + top: "inception_3b/5x5_reduce-se6" + + name: "inception_3b/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se6" + + top: "inception_3b/5x5_reduce-se6" + + name: "inception_3b/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se6" + + top: "inception_3b/5x5-se6" + + name: "inception_3b/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se6" + + top: "inception_3b/5x5-se6" + + name: "inception_3b/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se6" + + top: "inception_3b/pool-se6" + + name: "inception_3b/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se6" + + top: "inception_3b/pool_proj-se6" + + name: "inception_3b/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se6" + + top: "inception_3b/pool_proj-se6" + + name: "inception_3b/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se6" + + bottom: "inception_3b/3x3-se6" + + bottom: "inception_3b/5x5-se6" + + bottom: "inception_3b/pool_proj-se6" + + top: "inception_3b/output-se6" + + name: "inception_3b/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se6" + + top: "pool3/3x3_s2-se6" + + name: "pool3/3x3_s2-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se6" + + top: "inception_4a/1x1-se6" + + name: "inception_4a/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se6" + + top: "inception_4a/1x1-se6" + + name: "inception_4a/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se6" + + top: "inception_4a/3x3_reduce-se6" + + name: "inception_4a/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se6" + + top: "inception_4a/3x3_reduce-se6" + + name: "inception_4a/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se6" + + top: "inception_4a/3x3-se6" + + name: "inception_4a/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se6" + + top: "inception_4a/3x3-se6" + + name: "inception_4a/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se6" + + top: "inception_4a/5x5_reduce-se6" + + name: "inception_4a/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se6" + + top: "inception_4a/5x5_reduce-se6" + + name: "inception_4a/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se6" + + top: "inception_4a/5x5-se6" + + name: "inception_4a/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se6" + + top: "inception_4a/5x5-se6" + + name: "inception_4a/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se6" + + top: "inception_4a/pool-se6" + + name: "inception_4a/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se6" + + top: "inception_4a/pool_proj-se6" + + name: "inception_4a/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se6" + + top: "inception_4a/pool_proj-se6" + + name: "inception_4a/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se6" + + bottom: "inception_4a/3x3-se6" + + bottom: "inception_4a/5x5-se6" + + bottom: "inception_4a/pool_proj-se6" + + top: "inception_4a/output-se6" + + name: "inception_4a/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se6" + + top: "loss1/ave_pool-se6" + + name: "loss1/ave_pool-se6" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se6" + + top: "loss1/conv-se6" + + name: "loss1/conv-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se6" + + top: "loss1/conv-se6" + + name: "loss1/relu_conv-se6" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se6" + + top: "loss1/fc-se6" + + name: "loss1/fc-se6" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se6" + + top: "loss1/fc-se6" + + name: "loss1/relu_fc-se6" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se6" + + top: "loss1/fc-se6" + + name: "loss1/drop_fc-se6" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se6" + + top: "fc-1-se6" + + name: "loss1/classifier-se6" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se6" + + type: BNLL + + bottom: "fc-1-se6" + + top: "fc-1-se6" + +} + +layers { + + bottom: "inception_4a/output-se6" + + top: "inception_4b/1x1-se6" + + name: "inception_4b/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se6" + + top: "inception_4b/1x1-se6" + + name: "inception_4b/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se6" + + top: "inception_4b/3x3_reduce-se6" + + name: "inception_4b/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se6" + + top: "inception_4b/3x3_reduce-se6" + + name: "inception_4b/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se6" + + top: "inception_4b/3x3-se6" + + name: "inception_4b/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se6" + + top: "inception_4b/3x3-se6" + + name: "inception_4b/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se6" + + top: "inception_4b/5x5_reduce-se6" + + name: "inception_4b/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se6" + + top: "inception_4b/5x5_reduce-se6" + + name: "inception_4b/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se6" + + top: "inception_4b/5x5-se6" + + name: "inception_4b/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se6" + + top: "inception_4b/5x5-se6" + + name: "inception_4b/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se6" + + top: "inception_4b/pool-se6" + + name: "inception_4b/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se6" + + top: "inception_4b/pool_proj-se6" + + name: "inception_4b/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se6" + + top: "inception_4b/pool_proj-se6" + + name: "inception_4b/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se6" + + bottom: "inception_4b/3x3-se6" + + bottom: "inception_4b/5x5-se6" + + bottom: "inception_4b/pool_proj-se6" + + top: "inception_4b/output-se6" + + name: "inception_4b/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se6" + + top: "inception_4c/1x1-se6" + + name: "inception_4c/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se6" + + top: "inception_4c/1x1-se6" + + name: "inception_4c/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se6" + + top: "inception_4c/3x3_reduce-se6" + + name: "inception_4c/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se6" + + top: "inception_4c/3x3_reduce-se6" + + name: "inception_4c/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se6" + + top: "inception_4c/3x3-se6" + + name: "inception_4c/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se6" + + top: "inception_4c/3x3-se6" + + name: "inception_4c/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se6" + + top: "inception_4c/5x5_reduce-se6" + + name: "inception_4c/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + 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+ + name: "inception_4c/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se6" + + top: "inception_4c/pool_proj-se6" + + name: "inception_4c/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se6" + + top: "inception_4c/pool_proj-se6" + + name: "inception_4c/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se6" + + bottom: "inception_4c/3x3-se6" + + bottom: "inception_4c/5x5-se6" + + bottom: "inception_4c/pool_proj-se6" + + top: "inception_4c/output-se6" + + name: "inception_4c/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se6" + + top: "inception_4d/1x1-se6" + + name: "inception_4d/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se6" + + top: "inception_4d/1x1-se6" + + name: "inception_4d/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se6" + + top: "inception_4d/3x3_reduce-se6" + + name: "inception_4d/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se6" + + top: "inception_4d/3x3_reduce-se6" + + name: "inception_4d/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se6" + + top: "inception_4d/3x3-se6" + + name: "inception_4d/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se6" + + top: "inception_4d/3x3-se6" + + name: "inception_4d/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se6" + + top: "inception_4d/5x5_reduce-se6" + + name: "inception_4d/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se6" + + top: "inception_4d/5x5_reduce-se6" + + name: "inception_4d/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se6" + + top: "inception_4d/5x5-se6" + + name: "inception_4d/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se6" + + top: "inception_4d/5x5-se6" + + name: "inception_4d/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se6" + + top: "inception_4d/pool-se6" + + name: "inception_4d/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se6" + + top: "inception_4d/pool_proj-se6" + + name: "inception_4d/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se6" + + top: "inception_4d/pool_proj-se6" + + name: "inception_4d/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se6" + + bottom: "inception_4d/3x3-se6" + + bottom: "inception_4d/5x5-se6" + + bottom: "inception_4d/pool_proj-se6" + + top: "inception_4d/output-se6" + + name: "inception_4d/output-se6" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se6" + + top: "loss2/ave_pool-se6" + + name: "loss2/ave_pool-se6" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se6" + + top: "loss2/conv-se6" + + name: "loss2/conv-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se6" + + top: "loss2/conv-se6" + + name: "loss2/relu_conv-se6" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se6" + + top: "loss2/fc-se6" + + name: "loss2/fc-se6" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se6" + + top: "loss2/fc-se6" + + name: "loss2/relu_fc-se6" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se6" + + top: "loss2/fc-se6" + + name: "loss2/drop_fc-se6" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se6" + + top: "fc-2-se6" + + name: "loss2/classifier-se6" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se6" + + type: BNLL + + bottom: "fc-2-se6" + + top: "fc-2-se6" + +} + +layers { + + bottom: "inception_4d/output-se6" + + top: "inception_4e/1x1-se6" + + name: "inception_4e/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se6" + + top: "inception_4e/1x1-se6" + + name: "inception_4e/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se6" + + top: "inception_4e/3x3_reduce-se6" + + name: "inception_4e/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se6" + + top: "inception_4e/3x3_reduce-se6" + + name: "inception_4e/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se6" + + top: "inception_4e/3x3-se6" + + name: "inception_4e/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se6" + + top: "inception_4e/3x3-se6" + + name: "inception_4e/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se6" + + top: "inception_4e/5x5_reduce-se6" + + name: "inception_4e/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se6" + + top: "inception_4e/5x5_reduce-se6" + + name: "inception_4e/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se6" + + top: "inception_4e/5x5-se6" + + name: "inception_4e/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se6" + + top: "inception_4e/5x5-se6" + + name: "inception_4e/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se6" + + top: "inception_4e/pool-se6" + + name: "inception_4e/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se6" + + top: "inception_4e/pool_proj-se6" + + name: "inception_4e/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se6" + + top: "inception_4e/pool_proj-se6" + + name: "inception_4e/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se6" + + bottom: "inception_4e/3x3-se6" + + bottom: "inception_4e/5x5-se6" + + bottom: "inception_4e/pool_proj-se6" + + top: "inception_4e/output-se6" + + name: "inception_4e/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se6" + + top: "pool4/3x3_s2-se6" + + name: "pool4/3x3_s2-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se6" + + top: "inception_5a/1x1-se6" + + name: "inception_5a/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se6" + + top: "inception_5a/1x1-se6" + + name: "inception_5a/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se6" + + top: "inception_5a/3x3_reduce-se6" + + name: "inception_5a/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se6" + + top: "inception_5a/3x3_reduce-se6" + + name: "inception_5a/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se6" + + top: "inception_5a/3x3-se6" + + name: "inception_5a/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se6" + + top: "inception_5a/3x3-se6" + + name: "inception_5a/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se6" + + top: "inception_5a/5x5_reduce-se6" + + name: "inception_5a/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se6" + + top: "inception_5a/5x5_reduce-se6" + + name: "inception_5a/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se6" + + top: "inception_5a/5x5-se6" + + name: "inception_5a/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se6" + + top: "inception_5a/5x5-se6" + + name: "inception_5a/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se6" + + top: "inception_5a/pool-se6" + + name: "inception_5a/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se6" + + top: "inception_5a/pool_proj-se6" + + name: "inception_5a/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se6" + + top: "inception_5a/pool_proj-se6" + + name: "inception_5a/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se6" + + bottom: "inception_5a/3x3-se6" + + bottom: "inception_5a/5x5-se6" + + bottom: "inception_5a/pool_proj-se6" + + top: "inception_5a/output-se6" + + name: "inception_5a/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se6" + + top: "inception_5b/1x1-se6" + + name: "inception_5b/1x1-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se6" + + top: "inception_5b/1x1-se6" + + name: "inception_5b/relu_1x1-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se6" + + top: "inception_5b/3x3_reduce-se6" + + name: "inception_5b/3x3_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se6" + + top: "inception_5b/3x3_reduce-se6" + + name: "inception_5b/relu_3x3_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se6" + + top: "inception_5b/3x3-se6" + + name: "inception_5b/3x3-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se6" + + top: "inception_5b/3x3-se6" + + name: "inception_5b/relu_3x3-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se6" + + top: "inception_5b/5x5_reduce-se6" + + name: "inception_5b/5x5_reduce-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se6" + + top: "inception_5b/5x5_reduce-se6" + + name: "inception_5b/relu_5x5_reduce-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se6" + + top: "inception_5b/5x5-se6" + + name: "inception_5b/5x5-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se6" + + top: "inception_5b/5x5-se6" + + name: "inception_5b/relu_5x5-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se6" + + top: "inception_5b/pool-se6" + + name: "inception_5b/pool-se6" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se6" + + top: "inception_5b/pool_proj-se6" + + name: "inception_5b/pool_proj-se6" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se6" + + top: "inception_5b/pool_proj-se6" + + name: "inception_5b/relu_pool_proj-se6" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se6" + + bottom: "inception_5b/3x3-se6" + + bottom: "inception_5b/5x5-se6" + + bottom: "inception_5b/pool_proj-se6" + + top: "inception_5b/output-se6" + + name: "inception_5b/output-se6" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se6" + + top: "pool5/7x7_s1-se6" + + name: "pool5/7x7_s1-se6" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se6" + + top: "pool5/7x7_s1-se6" + + name: "pool5/drop_7x7_s1-se6" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se6" + + top: "fc8-se6" + + name: "loss3/classifier-se6" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 500 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + +layers { + + name: "prob_layer-se6" + + type: BNLL + + bottom: "fc8-se6" + + top: "fc8-se6" + +} + + + + + + + + +layers { + type:SLICE + name:"slice-fc8-se1" + bottom:"fc8-se1" + top: "slice1-1" + top: "slice1-2" + top: "slice1-3" + top: "slice1-4" + top: "slice1-5" + top: "slice1-6" + top: "slice1-7" + top: "slice1-8" + top: "slice1-9" + top: "slice1-10" + top: "slice1-11" + top: "slice1-12" + top: "slice1-13" + top: "slice1-14" + top: "slice1-15" + top: "slice1-16" + top: "slice1-17" + top: "slice1-18" + top: "slice1-19" + top: "slice1-20" + top: "slice1-21" + top: "slice1-22" + top: "slice1-23" + top: "slice1-24" + top: "slice1-25" + top: "slice1-26" + top: "slice1-27" + top: "slice1-28" + top: "slice1-29" + top: "slice1-30" + top: "slice1-31" + top: "slice1-32" + top: "slice1-33" + top: "slice1-34" + top: "slice1-35" + top: "slice1-36" + top: "slice1-37" + top: 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+ bottom: "repmat-1-sw1" + top: "weighted-prob-1-ss1" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw2" + type: INNER_PRODUCT + bottom: "prob-1-sw2" + top: "repmat-1-sw2" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss2" + bottom: "fc-1-se2" + bottom: "repmat-1-sw2" + top: "weighted-prob-1-ss2" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw3" + type: INNER_PRODUCT + bottom: "prob-1-sw3" + top: "repmat-1-sw3" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss3" + bottom: "fc-1-se3" + bottom: "repmat-1-sw3" + top: "weighted-prob-1-ss3" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw4" + type: INNER_PRODUCT + bottom: "prob-1-sw4" + top: "repmat-1-sw4" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss4" + bottom: "fc-1-se4" + bottom: "repmat-1-sw4" + top: "weighted-prob-1-ss4" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw5" + type: INNER_PRODUCT + bottom: "prob-1-sw5" + top: "repmat-1-sw5" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss5" + bottom: "fc-1-se5" + bottom: "repmat-1-sw5" + top: "weighted-prob-1-ss5" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw6" + type: INNER_PRODUCT + bottom: "prob-1-sw6" + top: "repmat-1-sw6" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss6" + bottom: "fc-1-se6" + bottom: "repmat-1-sw6" + top: "weighted-prob-1-ss6" + eltwise_param { + operation: PROD + } +} +layers { + name: "sum-weighted-prob-1" + type: ELTWISE + bottom: "weighted-prob-1-ss1" + bottom: "weighted-prob-1-ss2" + bottom: "weighted-prob-1-ss3" + bottom: "weighted-prob-1-ss4" + bottom: "weighted-prob-1-ss5" + bottom: "weighted-prob-1-ss6" + top: "prob-1" + eltwise_param { + operation: SUM + } +} +layers { + name: "repmat-2-sw1" + type: INNER_PRODUCT + bottom: "prob-2-sw1" + top: "repmat-2-sw1" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss1" + bottom: "fc-2-se1" + bottom: "repmat-2-sw1" + top: "weighted-prob-2-ss1" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw2" + type: INNER_PRODUCT + bottom: "prob-2-sw2" + top: "repmat-2-sw2" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss2" + bottom: "fc-2-se2" + bottom: "repmat-2-sw2" + top: "weighted-prob-2-ss2" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw3" + type: INNER_PRODUCT + bottom: "prob-2-sw3" + top: "repmat-2-sw3" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss3" + bottom: "fc-2-se3" + bottom: "repmat-2-sw3" + top: "weighted-prob-2-ss3" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw4" + type: INNER_PRODUCT + bottom: "prob-2-sw4" + top: "repmat-2-sw4" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss4" + bottom: "fc-2-se4" + bottom: "repmat-2-sw4" + top: "weighted-prob-2-ss4" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw5" + type: INNER_PRODUCT + bottom: "prob-2-sw5" + top: "repmat-2-sw5" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss5" + bottom: "fc-2-se5" + bottom: "repmat-2-sw5" + top: "weighted-prob-2-ss5" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw6" + type: INNER_PRODUCT + bottom: "prob-2-sw6" + top: "repmat-2-sw6" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 500 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss6" + bottom: "fc-2-se6" + bottom: "repmat-2-sw6" + top: "weighted-prob-2-ss6" + eltwise_param { + operation: PROD + } +} +layers { + name: "sum-weighted-prob-2" + type: ELTWISE + bottom: "weighted-prob-2-ss1" + bottom: "weighted-prob-2-ss2" + bottom: "weighted-prob-2-ss3" + bottom: "weighted-prob-2-ss4" + bottom: "weighted-prob-2-ss5" + bottom: "weighted-prob-2-ss6" + top: "prob-2" + eltwise_param { + operation: SUM + } +} diff --git a/24-07/caffe/deploy/35-GoogleNet_clef_flower.prototxt b/24-07/caffe/deploy/35-GoogleNet_clef_flower.prototxt new file mode 100644 index 0000000..3eb5abc --- /dev/null +++ b/24-07/caffe/deploy/35-GoogleNet_clef_flower.prototxt @@ -0,0 +1,40757 @@ +name: "CnnMixture" + +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 226 +input_dim: 226 + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se1" + + name: "conv1/7x7_s2-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se1" + + top: "conv1/7x7_s2-se1" + + name: "conv1/relu_7x7-se1" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se1" + + top: "pool1/3x3_s2-se1" + + name: "pool1/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se1" + + top: "pool1/norm1-se1" + + name: "pool1/norm1-se1" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se1" + + top: "conv2/3x3_reduce-se1" + + name: "conv2/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se1" + + top: "conv2/3x3_reduce-se1" + + name: "conv2/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se1" + + top: "conv2/3x3-se1" + + name: "conv2/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se1" + + top: "conv2/3x3-se1" + + name: "conv2/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se1" + + top: "conv2/norm2-se1" + + name: "conv2/norm2-se1" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se1" + + top: "pool2/3x3_s2-se1" + + name: "pool2/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/1x1-se1" + + name: "inception_3a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se1" + + top: "inception_3a/1x1-se1" + + name: "inception_3a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/3x3_reduce-se1" + + name: "inception_3a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se1" + + top: "inception_3a/3x3_reduce-se1" + + name: "inception_3a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se1" + + top: "inception_3a/3x3-se1" + + name: "inception_3a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se1" + + top: "inception_3a/3x3-se1" + + name: "inception_3a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/5x5_reduce-se1" + + name: "inception_3a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se1" + + top: "inception_3a/5x5_reduce-se1" + + name: "inception_3a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se1" + + top: "inception_3a/5x5-se1" + + name: "inception_3a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se1" + + top: "inception_3a/5x5-se1" + + name: "inception_3a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se1" + + top: "inception_3a/pool-se1" + + name: "inception_3a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se1" + + top: "inception_3a/pool_proj-se1" + + name: "inception_3a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se1" + + top: "inception_3a/pool_proj-se1" + + name: "inception_3a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se1" + + bottom: "inception_3a/3x3-se1" + + bottom: "inception_3a/5x5-se1" + + bottom: "inception_3a/pool_proj-se1" + + top: "inception_3a/output-se1" + + name: "inception_3a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/1x1-se1" + + name: "inception_3b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se1" + + top: "inception_3b/1x1-se1" + + name: "inception_3b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/3x3_reduce-se1" + + name: "inception_3b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se1" + + top: "inception_3b/3x3_reduce-se1" + + name: "inception_3b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se1" + + top: "inception_3b/3x3-se1" + + name: "inception_3b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se1" + + top: "inception_3b/3x3-se1" + + name: "inception_3b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/5x5_reduce-se1" + + name: "inception_3b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se1" + + top: "inception_3b/5x5_reduce-se1" + + name: "inception_3b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se1" + + top: "inception_3b/5x5-se1" + + name: "inception_3b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se1" + + top: "inception_3b/5x5-se1" + + name: "inception_3b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se1" + + top: "inception_3b/pool-se1" + + name: "inception_3b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se1" + + top: "inception_3b/pool_proj-se1" + + name: "inception_3b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se1" + + top: "inception_3b/pool_proj-se1" + + name: "inception_3b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se1" + + bottom: "inception_3b/3x3-se1" + + bottom: "inception_3b/5x5-se1" + + bottom: "inception_3b/pool_proj-se1" + + top: "inception_3b/output-se1" + + name: "inception_3b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se1" + + top: "pool3/3x3_s2-se1" + + name: "pool3/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/1x1-se1" + + name: "inception_4a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se1" + + top: "inception_4a/1x1-se1" + + name: "inception_4a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/3x3_reduce-se1" + + name: "inception_4a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se1" + + top: "inception_4a/3x3_reduce-se1" + + name: "inception_4a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se1" + + top: "inception_4a/3x3-se1" + + name: "inception_4a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se1" + + top: "inception_4a/3x3-se1" + + name: "inception_4a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/5x5_reduce-se1" + + name: "inception_4a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se1" + + top: "inception_4a/5x5_reduce-se1" + + name: "inception_4a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se1" + + top: "inception_4a/5x5-se1" + + name: "inception_4a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se1" + + top: "inception_4a/5x5-se1" + + name: "inception_4a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se1" + + top: "inception_4a/pool-se1" + + name: "inception_4a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se1" + + top: "inception_4a/pool_proj-se1" + + name: "inception_4a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se1" + + top: "inception_4a/pool_proj-se1" + + name: "inception_4a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se1" + + bottom: "inception_4a/3x3-se1" + + bottom: "inception_4a/5x5-se1" + + bottom: "inception_4a/pool_proj-se1" + + top: "inception_4a/output-se1" + + name: "inception_4a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "loss1/ave_pool-se1" + + name: "loss1/ave_pool-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se1" + + top: "loss1/conv-se1" + + name: "loss1/conv-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se1" + + top: "loss1/conv-se1" + + name: "loss1/relu_conv-se1" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se1" + + top: "loss1/fc-se1" + + name: "loss1/fc-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se1" + + top: "loss1/fc-se1" + + name: "loss1/relu_fc-se1" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se1" + + top: "loss1/fc-se1" + + name: "loss1/drop_fc-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se1" + + top: "fc-1-se1" + + name: "loss1/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/1x1-se1" + + name: "inception_4b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se1" + + top: "inception_4b/1x1-se1" + + name: "inception_4b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/3x3_reduce-se1" + + name: "inception_4b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se1" + + top: "inception_4b/3x3_reduce-se1" + + name: "inception_4b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se1" + + top: "inception_4b/3x3-se1" + + name: "inception_4b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se1" + + top: "inception_4b/3x3-se1" + + name: "inception_4b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/5x5_reduce-se1" + + name: "inception_4b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se1" + + top: "inception_4b/5x5_reduce-se1" + + name: "inception_4b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se1" + + top: "inception_4b/5x5-se1" + + name: "inception_4b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se1" + + top: "inception_4b/5x5-se1" + + name: "inception_4b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se1" + + top: "inception_4b/pool-se1" + + name: "inception_4b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se1" + + top: "inception_4b/pool_proj-se1" + + name: "inception_4b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se1" + + top: "inception_4b/pool_proj-se1" + + name: "inception_4b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se1" + + bottom: "inception_4b/3x3-se1" + + bottom: "inception_4b/5x5-se1" + + bottom: "inception_4b/pool_proj-se1" + + top: "inception_4b/output-se1" + + name: "inception_4b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/1x1-se1" + + name: "inception_4c/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se1" + + top: "inception_4c/1x1-se1" + + name: "inception_4c/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/3x3_reduce-se1" + + name: "inception_4c/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se1" + + top: "inception_4c/3x3_reduce-se1" + + name: "inception_4c/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se1" + + top: "inception_4c/3x3-se1" + + name: "inception_4c/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se1" + + top: "inception_4c/3x3-se1" + + name: "inception_4c/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/5x5_reduce-se1" + + name: "inception_4c/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se1" + + top: "inception_4c/5x5_reduce-se1" + + name: "inception_4c/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se1" + + top: "inception_4c/5x5-se1" + + name: "inception_4c/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se1" + + top: "inception_4c/5x5-se1" + + name: "inception_4c/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se1" + + top: "inception_4c/pool-se1" + + name: "inception_4c/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se1" + + top: "inception_4c/pool_proj-se1" + + name: "inception_4c/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se1" + + top: "inception_4c/pool_proj-se1" + + name: "inception_4c/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se1" + + bottom: "inception_4c/3x3-se1" + + bottom: "inception_4c/5x5-se1" + + bottom: "inception_4c/pool_proj-se1" + + top: "inception_4c/output-se1" + + name: "inception_4c/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/1x1-se1" + + name: "inception_4d/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se1" + + top: "inception_4d/1x1-se1" + + name: "inception_4d/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/3x3_reduce-se1" + + name: "inception_4d/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se1" + + top: "inception_4d/3x3_reduce-se1" + + name: "inception_4d/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se1" + + top: "inception_4d/3x3-se1" + + name: "inception_4d/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se1" + + top: "inception_4d/3x3-se1" + + name: "inception_4d/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/5x5_reduce-se1" + + name: "inception_4d/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se1" + + top: "inception_4d/5x5_reduce-se1" + + name: "inception_4d/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se1" + + top: "inception_4d/5x5-se1" + + name: "inception_4d/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se1" + + top: "inception_4d/5x5-se1" + + name: "inception_4d/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se1" + + top: "inception_4d/pool-se1" + + name: "inception_4d/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se1" + + top: "inception_4d/pool_proj-se1" + + name: "inception_4d/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se1" + + top: "inception_4d/pool_proj-se1" + + name: "inception_4d/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se1" + + bottom: "inception_4d/3x3-se1" + + bottom: "inception_4d/5x5-se1" + + bottom: "inception_4d/pool_proj-se1" + + top: "inception_4d/output-se1" + + name: "inception_4d/output-se1" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se1" + + top: "loss2/ave_pool-se1" + + name: "loss2/ave_pool-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se1" + + top: "loss2/conv-se1" + + name: "loss2/conv-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se1" + + top: "loss2/conv-se1" + + name: "loss2/relu_conv-se1" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se1" + + top: "loss2/fc-se1" + + name: "loss2/fc-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se1" + + top: "loss2/fc-se1" + + name: "loss2/relu_fc-se1" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se1" + + top: "loss2/fc-se1" + + name: "loss2/drop_fc-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se1" + + top: "fc-2-se1" + + name: "loss2/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/1x1-se1" + + name: "inception_4e/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se1" + + top: "inception_4e/1x1-se1" + + name: "inception_4e/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/3x3_reduce-se1" + + name: "inception_4e/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se1" + + top: "inception_4e/3x3_reduce-se1" + + name: "inception_4e/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se1" + + top: "inception_4e/3x3-se1" + + name: "inception_4e/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se1" + + top: "inception_4e/3x3-se1" + + name: "inception_4e/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/5x5_reduce-se1" + + name: "inception_4e/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se1" + + top: "inception_4e/5x5_reduce-se1" + + name: "inception_4e/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se1" + + top: "inception_4e/5x5-se1" + + name: "inception_4e/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se1" + + top: "inception_4e/5x5-se1" + + name: "inception_4e/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se1" + + top: "inception_4e/pool-se1" + + name: "inception_4e/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se1" + + top: "inception_4e/pool_proj-se1" + + name: "inception_4e/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se1" + + top: "inception_4e/pool_proj-se1" + + name: "inception_4e/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se1" + + bottom: "inception_4e/3x3-se1" + + bottom: "inception_4e/5x5-se1" + + bottom: "inception_4e/pool_proj-se1" + + top: "inception_4e/output-se1" + + name: "inception_4e/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se1" + + top: "pool4/3x3_s2-se1" + + name: "pool4/3x3_s2-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/1x1-se1" + + name: "inception_5a/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se1" + + top: "inception_5a/1x1-se1" + + name: "inception_5a/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/3x3_reduce-se1" + + name: "inception_5a/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se1" + + top: "inception_5a/3x3_reduce-se1" + + name: "inception_5a/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se1" + + top: "inception_5a/3x3-se1" + + name: "inception_5a/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se1" + + top: "inception_5a/3x3-se1" + + name: "inception_5a/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/5x5_reduce-se1" + + name: "inception_5a/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se1" + + top: "inception_5a/5x5_reduce-se1" + + name: "inception_5a/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se1" + + top: "inception_5a/5x5-se1" + + name: "inception_5a/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se1" + + top: "inception_5a/5x5-se1" + + name: "inception_5a/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se1" + + top: "inception_5a/pool-se1" + + name: "inception_5a/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se1" + + top: "inception_5a/pool_proj-se1" + + name: "inception_5a/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se1" + + top: "inception_5a/pool_proj-se1" + + name: "inception_5a/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se1" + + bottom: "inception_5a/3x3-se1" + + bottom: "inception_5a/5x5-se1" + + bottom: "inception_5a/pool_proj-se1" + + top: "inception_5a/output-se1" + + name: "inception_5a/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/1x1-se1" + + name: "inception_5b/1x1-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se1" + + top: "inception_5b/1x1-se1" + + name: "inception_5b/relu_1x1-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/3x3_reduce-se1" + + name: "inception_5b/3x3_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se1" + + top: "inception_5b/3x3_reduce-se1" + + name: "inception_5b/relu_3x3_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se1" + + top: "inception_5b/3x3-se1" + + name: "inception_5b/3x3-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se1" + + top: "inception_5b/3x3-se1" + + name: "inception_5b/relu_3x3-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/5x5_reduce-se1" + + name: "inception_5b/5x5_reduce-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se1" + + top: "inception_5b/5x5_reduce-se1" + + name: "inception_5b/relu_5x5_reduce-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se1" + + top: "inception_5b/5x5-se1" + + name: "inception_5b/5x5-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se1" + + top: "inception_5b/5x5-se1" + + name: "inception_5b/relu_5x5-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se1" + + top: "inception_5b/pool-se1" + + name: "inception_5b/pool-se1" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se1" + + top: "inception_5b/pool_proj-se1" + + name: "inception_5b/pool_proj-se1" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se1" + + top: "inception_5b/pool_proj-se1" + + name: "inception_5b/relu_pool_proj-se1" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se1" + + bottom: "inception_5b/3x3-se1" + + bottom: "inception_5b/5x5-se1" + + bottom: "inception_5b/pool_proj-se1" + + top: "inception_5b/output-se1" + + name: "inception_5b/output-se1" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se1" + + top: "pool5/7x7_s1-se1" + + name: "pool5/7x7_s1-se1" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se1" + + top: "pool5/7x7_s1-se1" + + name: "pool5/drop_7x7_s1-se1" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se1" + + top: "fc8-se1" + + name: "loss3/classifier-se1" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se2" + + name: "conv1/7x7_s2-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se2" + + top: "conv1/7x7_s2-se2" + + name: "conv1/relu_7x7-se2" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se2" + + top: "pool1/3x3_s2-se2" + + name: "pool1/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se2" + + top: "pool1/norm1-se2" + + name: "pool1/norm1-se2" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se2" + + top: "conv2/3x3_reduce-se2" + + name: "conv2/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se2" + + top: "conv2/3x3_reduce-se2" + + name: "conv2/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se2" + + top: "conv2/3x3-se2" + + name: "conv2/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se2" + + top: "conv2/3x3-se2" + + name: "conv2/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se2" + + top: "conv2/norm2-se2" + + name: "conv2/norm2-se2" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se2" + + top: "pool2/3x3_s2-se2" + + name: "pool2/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/1x1-se2" + + name: "inception_3a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se2" + + top: "inception_3a/1x1-se2" + + name: "inception_3a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/3x3_reduce-se2" + + name: "inception_3a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se2" + + top: "inception_3a/3x3_reduce-se2" + + name: "inception_3a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se2" + + top: "inception_3a/3x3-se2" + + name: "inception_3a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se2" + + top: "inception_3a/3x3-se2" + + name: "inception_3a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/5x5_reduce-se2" + + name: "inception_3a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se2" + + top: "inception_3a/5x5_reduce-se2" + + name: "inception_3a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se2" + + top: "inception_3a/5x5-se2" + + name: "inception_3a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se2" + + top: "inception_3a/5x5-se2" + + name: "inception_3a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se2" + + top: "inception_3a/pool-se2" + + name: "inception_3a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se2" + + top: "inception_3a/pool_proj-se2" + + name: "inception_3a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se2" + + top: "inception_3a/pool_proj-se2" + + name: "inception_3a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se2" + + bottom: "inception_3a/3x3-se2" + + bottom: "inception_3a/5x5-se2" + + bottom: "inception_3a/pool_proj-se2" + + top: "inception_3a/output-se2" + + name: "inception_3a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/1x1-se2" + + name: "inception_3b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se2" + + top: "inception_3b/1x1-se2" + + name: "inception_3b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/3x3_reduce-se2" + + name: "inception_3b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se2" + + top: "inception_3b/3x3_reduce-se2" + + name: "inception_3b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se2" + + top: "inception_3b/3x3-se2" + + name: "inception_3b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se2" + + top: "inception_3b/3x3-se2" + + name: "inception_3b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/5x5_reduce-se2" + + name: "inception_3b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se2" + + top: "inception_3b/5x5_reduce-se2" + + name: "inception_3b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se2" + + top: "inception_3b/5x5-se2" + + name: "inception_3b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se2" + + top: "inception_3b/5x5-se2" + + name: "inception_3b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se2" + + top: "inception_3b/pool-se2" + + name: "inception_3b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se2" + + top: "inception_3b/pool_proj-se2" + + name: "inception_3b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se2" + + top: "inception_3b/pool_proj-se2" + + name: "inception_3b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se2" + + bottom: "inception_3b/3x3-se2" + + bottom: "inception_3b/5x5-se2" + + bottom: "inception_3b/pool_proj-se2" + + top: "inception_3b/output-se2" + + name: "inception_3b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se2" + + top: "pool3/3x3_s2-se2" + + name: "pool3/3x3_s2-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/1x1-se2" + + name: "inception_4a/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se2" + + top: "inception_4a/1x1-se2" + + name: "inception_4a/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/3x3_reduce-se2" + + name: "inception_4a/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se2" + + top: "inception_4a/3x3_reduce-se2" + + name: "inception_4a/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se2" + + top: "inception_4a/3x3-se2" + + name: "inception_4a/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se2" + + top: "inception_4a/3x3-se2" + + name: "inception_4a/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/5x5_reduce-se2" + + name: "inception_4a/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se2" + + top: "inception_4a/5x5_reduce-se2" + + name: "inception_4a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se2" + + top: "inception_4a/5x5-se2" + + name: "inception_4a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se2" + + top: "inception_4a/5x5-se2" + + name: "inception_4a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se2" + + top: "inception_4a/pool-se2" + + name: "inception_4a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se2" + + top: "inception_4a/pool_proj-se2" + + name: "inception_4a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se2" + + top: "inception_4a/pool_proj-se2" + + name: "inception_4a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se2" + + bottom: "inception_4a/3x3-se2" + + bottom: "inception_4a/5x5-se2" + + bottom: "inception_4a/pool_proj-se2" + + top: "inception_4a/output-se2" + + name: "inception_4a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "loss1/ave_pool-se2" + + name: "loss1/ave_pool-se2" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se2" + + top: "loss1/conv-se2" + + name: "loss1/conv-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se2" + + top: "loss1/conv-se2" + + name: "loss1/relu_conv-se2" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se2" + + top: "loss1/fc-se2" + + name: "loss1/fc-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + 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+ + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se2" + + top: "inception_4b/1x1-se2" + + name: "inception_4b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se2" + + top: "inception_4b/3x3_reduce-se2" + + name: "inception_4b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se2" + + top: "inception_4b/3x3_reduce-se2" + + name: "inception_4b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: 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weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se2" + + top: "inception_4d/5x5-se2" + + name: "inception_4d/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se2" + + top: "inception_4d/pool-se2" + + name: "inception_4d/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se2" + + top: "inception_4d/pool_proj-se2" + + name: "inception_4d/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + 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+ + } + +} + +layers { + + bottom: "loss2/conv-se2" + + top: "loss2/conv-se2" + + name: "loss2/relu_conv-se2" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se2" + + top: "loss2/fc-se2" + + name: "loss2/fc-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se2" + + top: "loss2/fc-se2" + + name: "loss2/relu_fc-se2" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se2" + + top: "loss2/fc-se2" + + name: "loss2/drop_fc-se2" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se2" + + top: "fc-2-se2" + + name: "loss2/classifier-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/1x1-se2" + + name: "inception_4e/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se2" + + top: "inception_4e/1x1-se2" + + name: "inception_4e/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/3x3_reduce-se2" + + name: "inception_4e/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: 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weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se2" + + top: "inception_4e/5x5_reduce-se2" + + name: "inception_4e/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se2" + + top: "inception_4e/5x5-se2" + + name: "inception_4e/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se2" + + top: "inception_4e/5x5-se2" + + name: "inception_4e/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se2" + + top: "inception_4e/pool-se2" + + name: "inception_4e/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se2" + + top: "inception_4e/pool_proj-se2" + + name: "inception_4e/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se2" + + top: "inception_4e/pool_proj-se2" + + name: "inception_4e/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se2" + + bottom: "inception_4e/3x3-se2" + + bottom: "inception_4e/5x5-se2" + + bottom: "inception_4e/pool_proj-se2" + + top: "inception_4e/output-se2" + + name: "inception_4e/output-se2" + + type: CONCAT + +} + +layers { + + 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+ + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se2" + + top: "inception_5a/5x5_reduce-se2" + + name: "inception_5a/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se2" + + top: "inception_5a/5x5-se2" + + name: "inception_5a/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se2" + + top: "inception_5a/5x5-se2" + + name: "inception_5a/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se2" + + top: "inception_5a/pool-se2" + + name: "inception_5a/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se2" + + top: "inception_5a/pool_proj-se2" + + name: "inception_5a/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se2" + + top: "inception_5a/pool_proj-se2" + + name: "inception_5a/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se2" + + bottom: "inception_5a/3x3-se2" + + bottom: "inception_5a/5x5-se2" + + bottom: "inception_5a/pool_proj-se2" + + top: "inception_5a/output-se2" + + name: "inception_5a/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/1x1-se2" + + name: "inception_5b/1x1-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se2" + + top: "inception_5b/1x1-se2" + + name: "inception_5b/relu_1x1-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/3x3_reduce-se2" + + name: "inception_5b/3x3_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se2" + + top: "inception_5b/3x3_reduce-se2" + + name: "inception_5b/relu_3x3_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se2" + + top: "inception_5b/3x3-se2" + + name: "inception_5b/3x3-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se2" + + top: "inception_5b/3x3-se2" + + name: "inception_5b/relu_3x3-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/5x5_reduce-se2" + + name: "inception_5b/5x5_reduce-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se2" + + top: "inception_5b/5x5_reduce-se2" + + name: "inception_5b/relu_5x5_reduce-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se2" + + top: "inception_5b/5x5-se2" + + name: "inception_5b/5x5-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se2" + + top: "inception_5b/5x5-se2" + + name: "inception_5b/relu_5x5-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se2" + + top: "inception_5b/pool-se2" + + name: "inception_5b/pool-se2" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se2" + + top: "inception_5b/pool_proj-se2" + + name: "inception_5b/pool_proj-se2" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se2" + + top: "inception_5b/pool_proj-se2" + + name: "inception_5b/relu_pool_proj-se2" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se2" + + bottom: "inception_5b/3x3-se2" + + bottom: "inception_5b/5x5-se2" + + bottom: "inception_5b/pool_proj-se2" + + top: "inception_5b/output-se2" + + name: "inception_5b/output-se2" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se2" + + top: "pool5/7x7_s1-se2" + + name: "pool5/7x7_s1-se2" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se2" + + top: "pool5/7x7_s1-se2" + + name: "pool5/drop_7x7_s1-se2" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se2" + + top: "fc8-se2" + + name: "loss3/classifier-se2" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se3" + + name: "conv1/7x7_s2-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se3" + + top: "conv1/7x7_s2-se3" + + name: "conv1/relu_7x7-se3" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se3" + + top: "pool1/3x3_s2-se3" + + name: "pool1/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se3" + + top: "pool1/norm1-se3" + + name: "pool1/norm1-se3" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se3" + + top: "conv2/3x3_reduce-se3" + + name: "conv2/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se3" + + top: "conv2/3x3_reduce-se3" + + name: "conv2/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se3" + + top: "conv2/3x3-se3" + + name: "conv2/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se3" + + top: "conv2/3x3-se3" + + name: "conv2/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se3" + + top: "conv2/norm2-se3" + + name: "conv2/norm2-se3" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se3" + + top: "pool2/3x3_s2-se3" + + name: "pool2/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/1x1-se3" + + name: "inception_3a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se3" + + top: "inception_3a/1x1-se3" + + name: "inception_3a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/3x3_reduce-se3" + + name: "inception_3a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se3" + + top: "inception_3a/3x3_reduce-se3" + + name: "inception_3a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se3" + + top: "inception_3a/3x3-se3" + + name: "inception_3a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se3" + + top: "inception_3a/3x3-se3" + + name: "inception_3a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/5x5_reduce-se3" + + name: "inception_3a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se3" + + top: "inception_3a/5x5_reduce-se3" + + name: "inception_3a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se3" + + top: "inception_3a/5x5-se3" + + name: "inception_3a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se3" + + top: "inception_3a/5x5-se3" + + name: "inception_3a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se3" + + top: "inception_3a/pool-se3" + + name: "inception_3a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se3" + + top: "inception_3a/pool_proj-se3" + + name: "inception_3a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se3" + + top: "inception_3a/pool_proj-se3" + + name: "inception_3a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se3" + + bottom: "inception_3a/3x3-se3" + + bottom: "inception_3a/5x5-se3" + + bottom: "inception_3a/pool_proj-se3" + + top: "inception_3a/output-se3" + + name: "inception_3a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/1x1-se3" + + name: "inception_3b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se3" + + top: "inception_3b/1x1-se3" + + name: "inception_3b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/3x3_reduce-se3" + + name: "inception_3b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se3" + + top: "inception_3b/3x3_reduce-se3" + + name: "inception_3b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se3" + + top: "inception_3b/3x3-se3" + + name: "inception_3b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se3" + + top: "inception_3b/3x3-se3" + + name: "inception_3b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/5x5_reduce-se3" + + name: "inception_3b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se3" + + top: "inception_3b/5x5_reduce-se3" + + name: "inception_3b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se3" + + top: "inception_3b/5x5-se3" + + name: "inception_3b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se3" + + top: "inception_3b/5x5-se3" + + name: "inception_3b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se3" + + top: "inception_3b/pool-se3" + + name: "inception_3b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se3" + + top: "inception_3b/pool_proj-se3" + + name: "inception_3b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se3" + + top: "inception_3b/pool_proj-se3" + + name: "inception_3b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se3" + + bottom: "inception_3b/3x3-se3" + + bottom: "inception_3b/5x5-se3" + + bottom: "inception_3b/pool_proj-se3" + + top: "inception_3b/output-se3" + + name: "inception_3b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se3" + + top: "pool3/3x3_s2-se3" + + name: "pool3/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/1x1-se3" + + name: "inception_4a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se3" + + top: "inception_4a/1x1-se3" + + name: "inception_4a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/3x3_reduce-se3" + + name: "inception_4a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se3" + + top: "inception_4a/3x3_reduce-se3" + + name: "inception_4a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se3" + + top: "inception_4a/3x3-se3" + + name: "inception_4a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se3" + + top: "inception_4a/3x3-se3" + + name: "inception_4a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/5x5_reduce-se3" + + name: "inception_4a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se3" + + top: "inception_4a/5x5_reduce-se3" + + name: "inception_4a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se3" + + top: "inception_4a/5x5-se3" + + name: "inception_4a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se3" + + top: "inception_4a/5x5-se3" + + name: "inception_4a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se3" + + top: "inception_4a/pool-se3" + + name: "inception_4a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se3" + + top: "inception_4a/pool_proj-se3" + + name: "inception_4a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se3" + + top: "inception_4a/pool_proj-se3" + + name: "inception_4a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se3" + + bottom: "inception_4a/3x3-se3" + + bottom: "inception_4a/5x5-se3" + + bottom: "inception_4a/pool_proj-se3" + + top: "inception_4a/output-se3" + + name: "inception_4a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "loss1/ave_pool-se3" + + name: "loss1/ave_pool-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se3" + + top: "loss1/conv-se3" + + name: "loss1/conv-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se3" + + top: "loss1/conv-se3" + + name: "loss1/relu_conv-se3" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se3" + + top: "loss1/fc-se3" + + name: "loss1/fc-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se3" + + top: "loss1/fc-se3" + + name: "loss1/relu_fc-se3" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se3" + + top: "loss1/fc-se3" + + name: "loss1/drop_fc-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se3" + + top: "fc-1-se3" + + name: "loss1/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/1x1-se3" + + name: "inception_4b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/1x1-se3" + + top: "inception_4b/1x1-se3" + + name: "inception_4b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/3x3_reduce-se3" + + name: "inception_4b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se3" + + top: "inception_4b/3x3_reduce-se3" + + name: "inception_4b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se3" + + top: "inception_4b/3x3-se3" + + name: "inception_4b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se3" + + top: "inception_4b/3x3-se3" + + name: "inception_4b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/5x5_reduce-se3" + + name: "inception_4b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se3" + + top: "inception_4b/5x5_reduce-se3" + + name: "inception_4b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se3" + + top: "inception_4b/5x5-se3" + + name: "inception_4b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se3" + + top: "inception_4b/5x5-se3" + + name: "inception_4b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se3" + + top: "inception_4b/pool-se3" + + name: "inception_4b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se3" + + top: "inception_4b/pool_proj-se3" + + name: "inception_4b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se3" + + top: "inception_4b/pool_proj-se3" + + name: "inception_4b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se3" + + bottom: "inception_4b/3x3-se3" + + bottom: "inception_4b/5x5-se3" + + bottom: "inception_4b/pool_proj-se3" + + top: "inception_4b/output-se3" + + name: "inception_4b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/1x1-se3" + + name: "inception_4c/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se3" + + top: "inception_4c/1x1-se3" + + name: "inception_4c/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/3x3_reduce-se3" + + name: "inception_4c/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se3" + + top: "inception_4c/3x3_reduce-se3" + + name: "inception_4c/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se3" + + top: "inception_4c/3x3-se3" + + name: "inception_4c/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se3" + + top: "inception_4c/3x3-se3" + + name: "inception_4c/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/5x5_reduce-se3" + + name: "inception_4c/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se3" + + top: "inception_4c/5x5_reduce-se3" + + name: "inception_4c/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se3" + + top: "inception_4c/5x5-se3" + + name: "inception_4c/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se3" + + top: "inception_4c/5x5-se3" + + name: "inception_4c/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se3" + + top: "inception_4c/pool-se3" + + name: "inception_4c/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se3" + + top: "inception_4c/pool_proj-se3" + + name: "inception_4c/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se3" + + top: "inception_4c/pool_proj-se3" + + name: "inception_4c/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se3" + + bottom: "inception_4c/3x3-se3" + + bottom: "inception_4c/5x5-se3" + + bottom: "inception_4c/pool_proj-se3" + + top: "inception_4c/output-se3" + + name: "inception_4c/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/1x1-se3" + + name: "inception_4d/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se3" + + top: "inception_4d/1x1-se3" + + name: "inception_4d/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/3x3_reduce-se3" + + name: "inception_4d/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se3" + + top: "inception_4d/3x3_reduce-se3" + + name: "inception_4d/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se3" + + top: "inception_4d/3x3-se3" + + name: "inception_4d/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se3" + + top: "inception_4d/3x3-se3" + + name: "inception_4d/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/5x5_reduce-se3" + + name: "inception_4d/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se3" + + top: "inception_4d/5x5_reduce-se3" + + name: "inception_4d/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se3" + + top: "inception_4d/5x5-se3" + + name: "inception_4d/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se3" + + top: "inception_4d/5x5-se3" + + name: "inception_4d/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se3" + + top: "inception_4d/pool-se3" + + name: "inception_4d/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se3" + + top: "inception_4d/pool_proj-se3" + + name: "inception_4d/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se3" + + top: "inception_4d/pool_proj-se3" + + name: "inception_4d/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se3" + + bottom: "inception_4d/3x3-se3" + + bottom: "inception_4d/5x5-se3" + + bottom: "inception_4d/pool_proj-se3" + + top: "inception_4d/output-se3" + + name: "inception_4d/output-se3" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se3" + + top: "loss2/ave_pool-se3" + + name: "loss2/ave_pool-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se3" + + top: "loss2/conv-se3" + + name: "loss2/conv-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se3" + + top: "loss2/conv-se3" + + name: "loss2/relu_conv-se3" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se3" + + top: "loss2/fc-se3" + + name: "loss2/fc-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se3" + + top: "loss2/fc-se3" + + name: "loss2/relu_fc-se3" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se3" + + top: "loss2/fc-se3" + + name: "loss2/drop_fc-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se3" + + top: "fc-2-se3" + + name: "loss2/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/1x1-se3" + + name: "inception_4e/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se3" + + top: "inception_4e/1x1-se3" + + name: "inception_4e/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/3x3_reduce-se3" + + name: "inception_4e/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se3" + + top: "inception_4e/3x3_reduce-se3" + + name: "inception_4e/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se3" + + top: "inception_4e/3x3-se3" + + name: "inception_4e/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se3" + + top: "inception_4e/3x3-se3" + + name: "inception_4e/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/5x5_reduce-se3" + + name: "inception_4e/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se3" + + top: "inception_4e/5x5_reduce-se3" + + name: "inception_4e/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se3" + + top: "inception_4e/5x5-se3" + + name: "inception_4e/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se3" + + top: "inception_4e/5x5-se3" + + name: "inception_4e/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se3" + + top: "inception_4e/pool-se3" + + name: "inception_4e/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se3" + + top: "inception_4e/pool_proj-se3" + + name: "inception_4e/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se3" + + top: "inception_4e/pool_proj-se3" + + name: "inception_4e/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se3" + + bottom: "inception_4e/3x3-se3" + + bottom: "inception_4e/5x5-se3" + + bottom: "inception_4e/pool_proj-se3" + + top: "inception_4e/output-se3" + + name: "inception_4e/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se3" + + top: "pool4/3x3_s2-se3" + + name: "pool4/3x3_s2-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/1x1-se3" + + name: "inception_5a/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se3" + + top: "inception_5a/1x1-se3" + + name: "inception_5a/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/3x3_reduce-se3" + + name: "inception_5a/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se3" + + top: "inception_5a/3x3_reduce-se3" + + name: "inception_5a/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se3" + + top: "inception_5a/3x3-se3" + + name: "inception_5a/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se3" + + top: "inception_5a/3x3-se3" + + name: "inception_5a/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/5x5_reduce-se3" + + name: "inception_5a/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se3" + + top: "inception_5a/5x5_reduce-se3" + + name: "inception_5a/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se3" + + top: "inception_5a/5x5-se3" + + name: "inception_5a/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se3" + + top: "inception_5a/5x5-se3" + + name: "inception_5a/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se3" + + top: "inception_5a/pool-se3" + + name: "inception_5a/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se3" + + top: "inception_5a/pool_proj-se3" + + name: "inception_5a/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se3" + + top: "inception_5a/pool_proj-se3" + + name: "inception_5a/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se3" + + bottom: "inception_5a/3x3-se3" + + bottom: "inception_5a/5x5-se3" + + bottom: "inception_5a/pool_proj-se3" + + top: "inception_5a/output-se3" + + name: "inception_5a/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/1x1-se3" + + name: "inception_5b/1x1-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se3" + + top: "inception_5b/1x1-se3" + + name: "inception_5b/relu_1x1-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/3x3_reduce-se3" + + name: "inception_5b/3x3_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se3" + + top: "inception_5b/3x3_reduce-se3" + + name: "inception_5b/relu_3x3_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se3" + + top: "inception_5b/3x3-se3" + + name: "inception_5b/3x3-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se3" + + top: "inception_5b/3x3-se3" + + name: "inception_5b/relu_3x3-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/5x5_reduce-se3" + + name: "inception_5b/5x5_reduce-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se3" + + top: "inception_5b/5x5_reduce-se3" + + name: "inception_5b/relu_5x5_reduce-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se3" + + top: "inception_5b/5x5-se3" + + name: "inception_5b/5x5-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se3" + + top: "inception_5b/5x5-se3" + + name: "inception_5b/relu_5x5-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se3" + + top: "inception_5b/pool-se3" + + name: "inception_5b/pool-se3" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se3" + + top: "inception_5b/pool_proj-se3" + + name: "inception_5b/pool_proj-se3" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se3" + + top: "inception_5b/pool_proj-se3" + + name: "inception_5b/relu_pool_proj-se3" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se3" + + bottom: "inception_5b/3x3-se3" + + bottom: "inception_5b/5x5-se3" + + bottom: "inception_5b/pool_proj-se3" + + top: "inception_5b/output-se3" + + name: "inception_5b/output-se3" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se3" + + top: "pool5/7x7_s1-se3" + + name: "pool5/7x7_s1-se3" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se3" + + top: "pool5/7x7_s1-se3" + + name: "pool5/drop_7x7_s1-se3" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se3" + + top: "fc8-se3" + + name: "loss3/classifier-se3" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + + + + + + + + +layers { + + bottom: "data" + + top: "conv1/7x7_s2-se4" + + name: "conv1/7x7_s2-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 3 + + kernel_size: 7 + + stride: 2 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv1/7x7_s2-se4" + + top: "conv1/7x7_s2-se4" + + name: "conv1/relu_7x7-se4" + + type: RELU + +} + +layers { + + bottom: "conv1/7x7_s2-se4" + + top: "pool1/3x3_s2-se4" + + name: "pool1/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool1/3x3_s2-se4" + + top: "pool1/norm1-se4" + + name: "pool1/norm1-se4" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "pool1/norm1-se4" + + top: "conv2/3x3_reduce-se4" + + name: "conv2/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3_reduce-se4" + + top: "conv2/3x3_reduce-se4" + + name: "conv2/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3_reduce-se4" + + top: "conv2/3x3-se4" + + name: "conv2/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "conv2/3x3-se4" + + top: "conv2/3x3-se4" + + name: "conv2/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "conv2/3x3-se4" + + top: "conv2/norm2-se4" + + name: "conv2/norm2-se4" + + type: LRN + + lrn_param { + + local_size: 5 + + alpha: 0.0001 + + beta: 0.75 + + } + +} + +layers { + + bottom: "conv2/norm2-se4" + + top: "pool2/3x3_s2-se4" + + name: "pool2/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/1x1-se4" + + name: "inception_3a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/1x1-se4" + + top: "inception_3a/1x1-se4" + + name: "inception_3a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/3x3_reduce-se4" + + name: "inception_3a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se4" + + top: "inception_3a/3x3_reduce-se4" + + name: "inception_3a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/3x3_reduce-se4" + + top: "inception_3a/3x3-se4" + + name: "inception_3a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/3x3-se4" + + top: "inception_3a/3x3-se4" + + name: "inception_3a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/5x5_reduce-se4" + + name: "inception_3a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se4" + + top: "inception_3a/5x5_reduce-se4" + + name: "inception_3a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/5x5_reduce-se4" + + top: "inception_3a/5x5-se4" + + name: "inception_3a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/5x5-se4" + + top: "inception_3a/5x5-se4" + + name: "inception_3a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool2/3x3_s2-se4" + + top: "inception_3a/pool-se4" + + name: "inception_3a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3a/pool-se4" + + top: "inception_3a/pool_proj-se4" + + name: "inception_3a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3a/pool_proj-se4" + + top: "inception_3a/pool_proj-se4" + + name: "inception_3a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/1x1-se4" + + bottom: "inception_3a/3x3-se4" + + bottom: "inception_3a/5x5-se4" + + bottom: "inception_3a/pool_proj-se4" + + top: "inception_3a/output-se4" + + name: "inception_3a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/1x1-se4" + + name: "inception_3b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/1x1-se4" + + top: "inception_3b/1x1-se4" + + name: "inception_3b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/3x3_reduce-se4" + + name: "inception_3b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se4" + + top: "inception_3b/3x3_reduce-se4" + + name: "inception_3b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/3x3_reduce-se4" + + top: "inception_3b/3x3-se4" + + name: "inception_3b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/3x3-se4" + + top: "inception_3b/3x3-se4" + + name: "inception_3b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/5x5_reduce-se4" + + name: "inception_3b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se4" + + top: "inception_3b/5x5_reduce-se4" + + name: "inception_3b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/5x5_reduce-se4" + + top: "inception_3b/5x5-se4" + + name: "inception_3b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/5x5-se4" + + top: "inception_3b/5x5-se4" + + name: "inception_3b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3a/output-se4" + + top: "inception_3b/pool-se4" + + name: "inception_3b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_3b/pool-se4" + + top: "inception_3b/pool_proj-se4" + + name: "inception_3b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_3b/pool_proj-se4" + + top: "inception_3b/pool_proj-se4" + + name: "inception_3b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_3b/1x1-se4" + + bottom: "inception_3b/3x3-se4" + + bottom: "inception_3b/5x5-se4" + + bottom: "inception_3b/pool_proj-se4" + + top: "inception_3b/output-se4" + + name: "inception_3b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_3b/output-se4" + + top: "pool3/3x3_s2-se4" + + name: "pool3/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/1x1-se4" + + name: "inception_4a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/1x1-se4" + + top: "inception_4a/1x1-se4" + + name: "inception_4a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/3x3_reduce-se4" + + name: "inception_4a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 96 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se4" + + top: "inception_4a/3x3_reduce-se4" + + name: "inception_4a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/3x3_reduce-se4" + + top: "inception_4a/3x3-se4" + + name: "inception_4a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 208 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/3x3-se4" + + top: "inception_4a/3x3-se4" + + name: "inception_4a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/5x5_reduce-se4" + + name: "inception_4a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 16 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se4" + + top: "inception_4a/5x5_reduce-se4" + + name: "inception_4a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/5x5_reduce-se4" + + top: "inception_4a/5x5-se4" + + name: "inception_4a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/5x5-se4" + + top: "inception_4a/5x5-se4" + + name: "inception_4a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool3/3x3_s2-se4" + + top: "inception_4a/pool-se4" + + name: "inception_4a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4a/pool-se4" + + top: "inception_4a/pool_proj-se4" + + name: "inception_4a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4a/pool_proj-se4" + + top: "inception_4a/pool_proj-se4" + + name: "inception_4a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/1x1-se4" + + bottom: "inception_4a/3x3-se4" + + bottom: "inception_4a/5x5-se4" + + bottom: "inception_4a/pool_proj-se4" + + top: "inception_4a/output-se4" + + name: "inception_4a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "loss1/ave_pool-se4" + + name: "loss1/ave_pool-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss1/ave_pool-se4" + + top: "loss1/conv-se4" + + name: "loss1/conv-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/conv-se4" + + top: "loss1/conv-se4" + + name: "loss1/relu_conv-se4" + + type: RELU + +} + +layers { + + bottom: "loss1/conv-se4" + + top: "loss1/fc-se4" + + name: "loss1/fc-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss1/fc-se4" + + top: "loss1/fc-se4" + + name: "loss1/relu_fc-se4" + + type: RELU + +} + +layers { + + bottom: "loss1/fc-se4" + + top: "loss1/fc-se4" + + name: "loss1/drop_fc-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss1/fc-se4" + + top: "fc-1-se4" + + name: "loss1/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + 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"inception_4b/3x3_reduce-se4" + + top: "inception_4b/3x3_reduce-se4" + + name: "inception_4b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/3x3_reduce-se4" + + top: "inception_4b/3x3-se4" + + name: "inception_4b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 224 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/3x3-se4" + + top: "inception_4b/3x3-se4" + + name: "inception_4b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/5x5_reduce-se4" + + name: "inception_4b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se4" + + top: "inception_4b/5x5_reduce-se4" + + name: "inception_4b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/5x5_reduce-se4" + + top: "inception_4b/5x5-se4" + + name: "inception_4b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/5x5-se4" + + top: "inception_4b/5x5-se4" + + name: "inception_4b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4a/output-se4" + + top: "inception_4b/pool-se4" + + name: "inception_4b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4b/pool-se4" + + top: "inception_4b/pool_proj-se4" + + name: "inception_4b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4b/pool_proj-se4" + + top: "inception_4b/pool_proj-se4" + + name: "inception_4b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/1x1-se4" + + bottom: "inception_4b/3x3-se4" + + bottom: "inception_4b/5x5-se4" + + bottom: "inception_4b/pool_proj-se4" + + top: "inception_4b/output-se4" + + name: "inception_4b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/1x1-se4" + + name: "inception_4c/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/1x1-se4" + + top: "inception_4c/1x1-se4" + + name: "inception_4c/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/3x3_reduce-se4" + + name: "inception_4c/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se4" + + top: "inception_4c/3x3_reduce-se4" + + name: "inception_4c/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/3x3_reduce-se4" + + top: "inception_4c/3x3-se4" + + name: "inception_4c/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/3x3-se4" + + top: "inception_4c/3x3-se4" + + name: "inception_4c/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/5x5_reduce-se4" + + name: "inception_4c/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 24 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se4" + + top: "inception_4c/5x5_reduce-se4" + + name: "inception_4c/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/5x5_reduce-se4" + + top: "inception_4c/5x5-se4" + + name: "inception_4c/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/5x5-se4" + + top: "inception_4c/5x5-se4" + + name: "inception_4c/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4b/output-se4" + + top: "inception_4c/pool-se4" + + name: "inception_4c/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4c/pool-se4" + + top: "inception_4c/pool_proj-se4" + + name: "inception_4c/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4c/pool_proj-se4" + + top: "inception_4c/pool_proj-se4" + + name: "inception_4c/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/1x1-se4" + + bottom: "inception_4c/3x3-se4" + + bottom: "inception_4c/5x5-se4" + + bottom: "inception_4c/pool_proj-se4" + + top: "inception_4c/output-se4" + + name: "inception_4c/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/1x1-se4" + + name: "inception_4d/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 112 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/1x1-se4" + + top: "inception_4d/1x1-se4" + + name: "inception_4d/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/3x3_reduce-se4" + + name: "inception_4d/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 144 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se4" + + top: "inception_4d/3x3_reduce-se4" + + name: "inception_4d/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/3x3_reduce-se4" + + top: "inception_4d/3x3-se4" + + name: "inception_4d/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 288 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/3x3-se4" + + top: "inception_4d/3x3-se4" + + name: "inception_4d/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/5x5_reduce-se4" + + name: "inception_4d/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se4" + + top: "inception_4d/5x5_reduce-se4" + + name: "inception_4d/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/5x5_reduce-se4" + + top: "inception_4d/5x5-se4" + + name: "inception_4d/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/5x5-se4" + + top: "inception_4d/5x5-se4" + + name: "inception_4d/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4c/output-se4" + + top: "inception_4d/pool-se4" + + name: "inception_4d/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4d/pool-se4" + + top: "inception_4d/pool_proj-se4" + + name: "inception_4d/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 64 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4d/pool_proj-se4" + + top: "inception_4d/pool_proj-se4" + + name: "inception_4d/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/1x1-se4" + + bottom: "inception_4d/3x3-se4" + + bottom: "inception_4d/5x5-se4" + + bottom: "inception_4d/pool_proj-se4" + + top: "inception_4d/output-se4" + + name: "inception_4d/output-se4" + + type: CONCAT + +} + + + +layers { + + bottom: "inception_4d/output-se4" + + top: "loss2/ave_pool-se4" + + name: "loss2/ave_pool-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 5 + + stride: 3 + + } + +} + +layers { + + bottom: "loss2/ave_pool-se4" + + top: "loss2/conv-se4" + + name: "loss2/conv-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.08 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/conv-se4" + + top: "loss2/conv-se4" + + name: "loss2/relu_conv-se4" + + type: RELU + +} + +layers { + + bottom: "loss2/conv-se4" + + top: "loss2/fc-se4" + + name: "loss2/fc-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 1024 + + weight_filler { + + type: "xavier" + + std: 0.02 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "loss2/fc-se4" + + top: "loss2/fc-se4" + + name: "loss2/relu_fc-se4" + + type: RELU + +} + +layers { + + bottom: "loss2/fc-se4" + + top: "loss2/fc-se4" + + name: "loss2/drop_fc-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.7 + + } + +} + +layers { + + bottom: "loss2/fc-se4" + + top: "fc-2-se4" + + name: "loss2/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + std: 0.0009765625 + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/1x1-se4" + + name: "inception_4e/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/1x1-se4" + + top: "inception_4e/1x1-se4" + + name: "inception_4e/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/3x3_reduce-se4" + + name: "inception_4e/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se4" + + top: "inception_4e/3x3_reduce-se4" + + name: "inception_4e/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/3x3_reduce-se4" + + top: "inception_4e/3x3-se4" + + name: "inception_4e/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/3x3-se4" + + top: "inception_4e/3x3-se4" + + name: "inception_4e/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/5x5_reduce-se4" + + name: "inception_4e/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se4" + + top: "inception_4e/5x5_reduce-se4" + + name: "inception_4e/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/5x5_reduce-se4" + + top: "inception_4e/5x5-se4" + + name: "inception_4e/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/5x5-se4" + + top: "inception_4e/5x5-se4" + + name: "inception_4e/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4d/output-se4" + + top: "inception_4e/pool-se4" + + name: "inception_4e/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_4e/pool-se4" + + top: "inception_4e/pool_proj-se4" + + name: "inception_4e/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_4e/pool_proj-se4" + + top: "inception_4e/pool_proj-se4" + + name: "inception_4e/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_4e/1x1-se4" + + bottom: "inception_4e/3x3-se4" + + bottom: "inception_4e/5x5-se4" + + bottom: "inception_4e/pool_proj-se4" + + top: "inception_4e/output-se4" + + name: "inception_4e/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_4e/output-se4" + + top: "pool4/3x3_s2-se4" + + name: "pool4/3x3_s2-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 2 + + } + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/1x1-se4" + + name: "inception_5a/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 256 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/1x1-se4" + + top: "inception_5a/1x1-se4" + + name: "inception_5a/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/3x3_reduce-se4" + + name: "inception_5a/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 160 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se4" + + top: "inception_5a/3x3_reduce-se4" + + name: "inception_5a/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/3x3_reduce-se4" + + top: "inception_5a/3x3-se4" + + name: "inception_5a/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 320 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/3x3-se4" + + top: "inception_5a/3x3-se4" + + name: "inception_5a/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/5x5_reduce-se4" + + name: "inception_5a/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 32 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se4" + + top: "inception_5a/5x5_reduce-se4" + + name: "inception_5a/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/5x5_reduce-se4" + + top: "inception_5a/5x5-se4" + + name: "inception_5a/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/5x5-se4" + + top: "inception_5a/5x5-se4" + + name: "inception_5a/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "pool4/3x3_s2-se4" + + top: "inception_5a/pool-se4" + + name: "inception_5a/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5a/pool-se4" + + top: "inception_5a/pool_proj-se4" + + name: "inception_5a/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5a/pool_proj-se4" + + top: "inception_5a/pool_proj-se4" + + name: "inception_5a/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/1x1-se4" + + bottom: "inception_5a/3x3-se4" + + bottom: "inception_5a/5x5-se4" + + bottom: "inception_5a/pool_proj-se4" + + top: "inception_5a/output-se4" + + name: "inception_5a/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/1x1-se4" + + name: "inception_5b/1x1-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/1x1-se4" + + top: "inception_5b/1x1-se4" + + name: "inception_5b/relu_1x1-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/3x3_reduce-se4" + + name: "inception_5b/3x3_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 192 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.09 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se4" + + top: "inception_5b/3x3_reduce-se4" + + name: "inception_5b/relu_3x3_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/3x3_reduce-se4" + + top: "inception_5b/3x3-se4" + + name: "inception_5b/3x3-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 384 + + pad: 1 + + kernel_size: 3 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/3x3-se4" + + top: "inception_5b/3x3-se4" + + name: "inception_5b/relu_3x3-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/5x5_reduce-se4" + + name: "inception_5b/5x5_reduce-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 48 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.2 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se4" + + top: "inception_5b/5x5_reduce-se4" + + name: "inception_5b/relu_5x5_reduce-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/5x5_reduce-se4" + + top: "inception_5b/5x5-se4" + + name: "inception_5b/5x5-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + pad: 2 + + kernel_size: 5 + + weight_filler { + + type: "xavier" + + std: 0.03 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/5x5-se4" + + top: "inception_5b/5x5-se4" + + name: "inception_5b/relu_5x5-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5a/output-se4" + + top: "inception_5b/pool-se4" + + name: "inception_5b/pool-se4" + + type: POOLING + + pooling_param { + + pool: MAX + + kernel_size: 3 + + stride: 1 + + pad: 1 + + } + +} + +layers { + + bottom: "inception_5b/pool-se4" + + top: "inception_5b/pool_proj-se4" + + name: "inception_5b/pool_proj-se4" + + type: CONVOLUTION + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + convolution_param { + + num_output: 128 + + kernel_size: 1 + + weight_filler { + + type: "xavier" + + std: 0.1 + + } + + bias_filler { + + type: "constant" + + value: 0.2 + + } + + } + +} + +layers { + + bottom: "inception_5b/pool_proj-se4" + + top: "inception_5b/pool_proj-se4" + + name: "inception_5b/relu_pool_proj-se4" + + type: RELU + +} + +layers { + + bottom: "inception_5b/1x1-se4" + + bottom: "inception_5b/3x3-se4" + + bottom: "inception_5b/5x5-se4" + + bottom: "inception_5b/pool_proj-se4" + + top: "inception_5b/output-se4" + + name: "inception_5b/output-se4" + + type: CONCAT + +} + +layers { + + bottom: "inception_5b/output-se4" + + top: "pool5/7x7_s1-se4" + + name: "pool5/7x7_s1-se4" + + type: POOLING + + pooling_param { + + pool: AVE + + kernel_size: 7 + + stride: 1 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se4" + + top: "pool5/7x7_s1-se4" + + name: "pool5/drop_7x7_s1-se4" + + type: DROPOUT + + dropout_param { + + dropout_ratio: 0.4 + + } + +} + +layers { + + bottom: "pool5/7x7_s1-se4" + + top: "fc8-se4" + + name: "loss3/classifier-se4" + + type: INNER_PRODUCT + + blobs_lr: 1 + + blobs_lr: 2 + + weight_decay: 1 + + weight_decay: 0 + + inner_product_param { + + num_output: 967 + + weight_filler { + + type: "xavier" + + } + + bias_filler { + + type: "constant" + + value: 0 + + } + + } + +} + + + + + + + + + + +layers { + type:SLICE + name:"slice-fc8-se1" + bottom:"fc8-se1" + top: "slice1-1" + top: "slice1-2" + top: "slice1-3" + top: "slice1-4" + top: "slice1-5" + 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"slice-2-4-793" + bottom: "slice-2-4-794" + bottom: "slice-2-4-795" + bottom: "slice-2-4-796" + bottom: "slice-2-4-797" + bottom: "slice-2-4-798" + bottom: "slice-2-4-799" + bottom: "slice-2-4-800" + bottom: "slice-2-4-801" + bottom: "slice-2-4-802" + bottom: "slice-2-4-803" + bottom: "slice-2-4-804" + bottom: "slice-2-4-805" + bottom: "slice-2-4-806" + bottom: "slice-2-4-807" + bottom: "slice-2-4-808" + bottom: "slice-2-4-809" + bottom: "slice-2-4-810" + bottom: "slice-2-4-811" + bottom: "slice-2-4-812" + bottom: "slice-2-4-813" + bottom: "slice-2-4-814" + bottom: "slice-2-4-815" + bottom: "slice-2-4-816" + bottom: "slice-2-4-817" + bottom: "slice-2-4-818" + bottom: "slice-2-4-819" + bottom: "slice-2-4-820" + bottom: "slice-2-4-821" + bottom: "slice-2-4-822" + bottom: "slice-2-4-823" + bottom: "slice-2-4-824" + bottom: "slice-2-4-825" + bottom: "slice-2-4-826" + bottom: "slice-2-4-827" + bottom: "slice-2-4-828" + bottom: "slice-2-4-829" + bottom: "slice-2-4-830" + bottom: "slice-2-4-831" + bottom: "slice-2-4-832" + bottom: "slice-2-4-833" + bottom: "slice-2-4-834" + bottom: "slice-2-4-835" + bottom: "slice-2-4-836" + bottom: "slice-2-4-837" + bottom: "slice-2-4-838" + bottom: "slice-2-4-839" + bottom: "slice-2-4-840" + bottom: "slice-2-4-841" + bottom: "slice-2-4-842" + bottom: "slice-2-4-843" + bottom: "slice-2-4-844" + bottom: "slice-2-4-845" + bottom: "slice-2-4-846" + bottom: "slice-2-4-847" + bottom: "slice-2-4-848" + bottom: "slice-2-4-849" + bottom: "slice-2-4-850" + bottom: "slice-2-4-851" + bottom: "slice-2-4-852" + bottom: "slice-2-4-853" + bottom: "slice-2-4-854" + bottom: "slice-2-4-855" + bottom: "slice-2-4-856" + bottom: "slice-2-4-857" + bottom: "slice-2-4-858" + bottom: "slice-2-4-859" + bottom: "slice-2-4-860" + bottom: "slice-2-4-861" + bottom: "slice-2-4-862" + bottom: "slice-2-4-863" + bottom: "slice-2-4-864" + bottom: "slice-2-4-865" + bottom: "slice-2-4-866" + bottom: "slice-2-4-867" + bottom: "slice-2-4-868" + bottom: "slice-2-4-869" + bottom: "slice-2-4-870" + bottom: "slice-2-4-871" + bottom: "slice-2-4-872" + bottom: "slice-2-4-873" + bottom: "slice-2-4-874" + bottom: "slice-2-4-875" + bottom: "slice-2-4-876" + bottom: "slice-2-4-877" + bottom: "slice-2-4-878" + bottom: "slice-2-4-879" + bottom: "slice-2-4-880" + bottom: "slice-2-4-881" + bottom: "slice-2-4-882" + bottom: "slice-2-4-883" + bottom: "slice-2-4-884" + bottom: "slice-2-4-885" + bottom: "slice-2-4-886" + bottom: "slice-2-4-887" + bottom: "slice-2-4-888" + bottom: "slice-2-4-889" + bottom: "slice-2-4-890" + bottom: "slice-2-4-891" + bottom: "slice-2-4-892" + bottom: "slice-2-4-893" + bottom: "slice-2-4-894" + bottom: "slice-2-4-895" + bottom: "slice-2-4-896" + bottom: "slice-2-4-897" + bottom: "slice-2-4-898" + bottom: "slice-2-4-899" + bottom: "slice-2-4-900" + bottom: "slice-2-4-901" + bottom: "slice-2-4-902" + bottom: "slice-2-4-903" + bottom: "slice-2-4-904" + bottom: "slice-2-4-905" + bottom: "slice-2-4-906" + bottom: "slice-2-4-907" + bottom: "slice-2-4-908" + bottom: "slice-2-4-909" + bottom: "slice-2-4-910" + bottom: "slice-2-4-911" + bottom: "slice-2-4-912" + bottom: "slice-2-4-913" + bottom: "slice-2-4-914" + bottom: "slice-2-4-915" + bottom: "slice-2-4-916" + bottom: "slice-2-4-917" + bottom: "slice-2-4-918" + bottom: "slice-2-4-919" + bottom: "slice-2-4-920" + bottom: "slice-2-4-921" + bottom: "slice-2-4-922" + bottom: "slice-2-4-923" + bottom: "slice-2-4-924" + bottom: "slice-2-4-925" + bottom: "slice-2-4-926" + bottom: "slice-2-4-927" + bottom: "slice-2-4-928" + bottom: "slice-2-4-929" + bottom: "slice-2-4-930" + bottom: "slice-2-4-931" + bottom: "slice-2-4-932" + bottom: "slice-2-4-933" + bottom: "slice-2-4-934" + bottom: "slice-2-4-935" + bottom: "slice-2-4-936" + bottom: "slice-2-4-937" + bottom: "slice-2-4-938" + bottom: "slice-2-4-939" + bottom: "slice-2-4-940" + bottom: "slice-2-4-941" + bottom: "slice-2-4-942" + bottom: "slice-2-4-943" + bottom: "slice-2-4-944" + bottom: "slice-2-4-945" + bottom: "slice-2-4-946" + bottom: "slice-2-4-947" + bottom: "slice-2-4-948" + bottom: "slice-2-4-949" + bottom: "slice-2-4-950" + bottom: "slice-2-4-951" + bottom: "slice-2-4-952" + bottom: "slice-2-4-953" + bottom: "slice-2-4-954" + bottom: "slice-2-4-955" + bottom: "slice-2-4-956" + bottom: "slice-2-4-957" + bottom: "slice-2-4-958" + bottom: "slice-2-4-959" + bottom: "slice-2-4-960" + bottom: "slice-2-4-961" + bottom: "slice-2-4-962" + bottom: "slice-2-4-963" + bottom: "slice-2-4-964" + bottom: "slice-2-4-965" + bottom: "slice-2-4-966" + bottom: "slice-2-4-967" + eltwise_param{ + operation:MAX + } +} +layers { + name: "concat" + + bottom: "max-fc8-se1" + bottom: "max-fc8-se2" + bottom: "max-fc8-se3" + bottom: "max-fc8-se4" + top: "conf-ss" + type: CONCAT + concat_param { + concat_dim: 1 + } +} +layers { + name: "prob-ss" + type: SOFTMAX + bottom: "conf-ss" + top: "prob-ss" +} +layers { + name: "slice-prob-ss" + type: SLICE + bottom: "prob-ss" + top: "prob-sw1" + top: "prob-sw2" + top: "prob-sw3" + top: "prob-sw4" +} +layers { + name: "concat-1" + + bottom: "max-fc-1-se1" + bottom: "max-fc-1-se2" + bottom: "max-fc-1-se3" + bottom: "max-fc-1-se4" + top: "conf-ss-1" + type: CONCAT + concat_param { + concat_dim: 1 + } +} +layers { + name: "prob-ss-1" + type: SOFTMAX + bottom: "conf-ss-1" + top: "prob-ss-1" +} +layers { + name: "slice-prob-ss-1" + type: SLICE + bottom: "prob-ss-1" + top: "prob-1-sw1" + top: "prob-1-sw2" + top: "prob-1-sw3" + top: "prob-1-sw4" +} +layers { + name: "concat-2" + + bottom: "max-fc-2-se1" + bottom: "max-fc-2-se2" + bottom: "max-fc-2-se3" + bottom: "max-fc-2-se4" + top: "conf-ss-2" + type: CONCAT + concat_param { + concat_dim: 1 + } +} +layers { + name: "prob-ss-2" + type: SOFTMAX + bottom: "conf-ss-2" + top: "prob-ss-2" +} +layers { + name: "slice-prob-ss-2" + type: SLICE + bottom: "prob-ss-2" + top: "prob-2-sw1" + top: "prob-2-sw2" + top: "prob-2-sw3" + top: "prob-2-sw4" +} +layers { + name: "repmat-sw1" + type: INNER_PRODUCT + bottom: "prob-sw1" + top: "repmat-sw1" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss1" + bottom: "fc8-se1" + bottom: "repmat-sw1" + top: "weighted-prob-ss1" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-sw2" + type: INNER_PRODUCT + bottom: "prob-sw2" + top: "repmat-sw2" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss2" + bottom: "fc8-se2" + bottom: "repmat-sw2" + top: "weighted-prob-ss2" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-sw3" + type: INNER_PRODUCT + bottom: "prob-sw3" + top: "repmat-sw3" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss3" + bottom: "fc8-se3" + bottom: "repmat-sw3" + top: "weighted-prob-ss3" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-sw4" + type: INNER_PRODUCT + bottom: "prob-sw4" + top: "repmat-sw4" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-ss4" + bottom: "fc8-se4" + bottom: "repmat-sw4" + top: "weighted-prob-ss4" + eltwise_param { + operation: PROD + } +} +layers { + name: "sum-weighted-prob" + type: ELTWISE + bottom: "weighted-prob-ss1" + bottom: "weighted-prob-ss2" + bottom: "weighted-prob-ss3" + bottom: "weighted-prob-ss4" + top: "prob" + eltwise_param { + operation: SUM + } +} + +layers { + name: "repmat-1-sw1" + type: INNER_PRODUCT + bottom: "prob-1-sw1" + top: "repmat-1-sw1" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss1" + bottom: "fc-1-se1" + bottom: "repmat-1-sw1" + top: "weighted-prob-1-ss1" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw2" + type: INNER_PRODUCT + bottom: "prob-1-sw2" + top: "repmat-1-sw2" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss2" + bottom: "fc-1-se2" + bottom: "repmat-1-sw2" + top: "weighted-prob-1-ss2" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw3" + type: INNER_PRODUCT + bottom: "prob-1-sw3" + top: "repmat-1-sw3" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss3" + bottom: "fc-1-se3" + bottom: "repmat-1-sw3" + top: "weighted-prob-1-ss3" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-1-sw4" + type: INNER_PRODUCT + bottom: "prob-1-sw4" + top: "repmat-1-sw4" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-1-ss4" + bottom: "fc-1-se4" + bottom: "repmat-1-sw4" + top: "weighted-prob-1-ss4" + eltwise_param { + operation: PROD + } +} +layers { + name: "sum-weighted-prob-1" + type: ELTWISE + bottom: "weighted-prob-1-ss1" + bottom: "weighted-prob-1-ss2" + bottom: "weighted-prob-1-ss3" + bottom: "weighted-prob-1-ss4" + top: "prob-1" + eltwise_param { + operation: SUM + } +} +layers { + name: "repmat-2-sw1" + type: INNER_PRODUCT + bottom: "prob-2-sw1" + top: "repmat-2-sw1" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss1" + bottom: "fc-2-se1" + bottom: "repmat-2-sw1" + top: "weighted-prob-2-ss1" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw2" + type: INNER_PRODUCT + bottom: "prob-2-sw2" + top: "repmat-2-sw2" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss2" + bottom: "fc-2-se2" + bottom: "repmat-2-sw2" + top: "weighted-prob-2-ss2" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw3" + type: INNER_PRODUCT + bottom: "prob-2-sw3" + top: "repmat-2-sw3" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss3" + bottom: "fc-2-se3" + bottom: "repmat-2-sw3" + top: "weighted-prob-2-ss3" + eltwise_param { + operation: PROD + } +} +layers { + name: "repmat-2-sw4" + type: INNER_PRODUCT + bottom: "prob-2-sw4" + top: "repmat-2-sw4" + blobs_lr: 0 + blobs_lr: 0 + weight_decay: 0 + weight_decay: 0 + inner_product_param { + num_output: 967 + weight_filler { + type: "constant" + value: 1 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + type: ELTWISE + name: "weighted-prob-2-ss4" + bottom: "fc-2-se4" + bottom: "repmat-2-sw4" + top: "weighted-prob-2-ss4" + eltwise_param { + operation: PROD + } +} +layers { + name: "sum-weighted-prob-2" + type: ELTWISE + bottom: "weighted-prob-2-ss1" + bottom: "weighted-prob-2-ss2" + bottom: "weighted-prob-2-ss3" + bottom: "weighted-prob-2-ss4" + top: "prob-2" + eltwise_param { + operation: SUM + } +} diff --git a/24-07/caffe/deploy/36-VGGdeploy.prototxt b/24-07/caffe/deploy/36-VGGdeploy.prototxt new file mode 100644 index 0000000..e8d70ee --- /dev/null +++ b/24-07/caffe/deploy/36-VGGdeploy.prototxt @@ -0,0 +1,327 @@ +name: "VGG_ILSVRC_16_layers" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layer { + bottom: "data" + top: "conv1_1" + name: "conv1_1" + type: "Convolution" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv1_1" + top: "conv1_1" + name: "relu1_1" + type: "ReLU" +} +layer { + bottom: "conv1_1" + top: "conv1_2" + name: "conv1_2" + type: "Convolution" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv1_2" + top: "conv1_2" + name: "relu1_2" + type: "ReLU" +} +layer { + bottom: "conv1_2" + top: "pool1" + name: "pool1" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool1" + top: "conv2_1" + name: "conv2_1" + type: "Convolution" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv2_1" + top: "conv2_1" + name: "relu2_1" + type: "ReLU" +} +layer { + bottom: "conv2_1" + top: "conv2_2" + name: "conv2_2" + type: "Convolution" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv2_2" + top: "conv2_2" + name: "relu2_2" + type: "ReLU" +} +layer { + bottom: "conv2_2" + top: "pool2" + name: "pool2" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool2" + top: "conv3_1" + name: "conv3_1" + type: "Convolution" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv3_1" + top: "conv3_1" + name: "relu3_1" + type: "ReLU" +} +layer { + bottom: "conv3_1" + top: "conv3_2" + name: "conv3_2" + type: "Convolution" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv3_2" + top: "conv3_2" + name: "relu3_2" + type: "ReLU" +} +layer { + bottom: "conv3_2" + top: "conv3_3" + name: "conv3_3" + type: "Convolution" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv3_3" + top: "conv3_3" + name: "relu3_3" + type: "ReLU" +} +layer { + bottom: "conv3_3" + top: "pool3" + name: "pool3" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool3" + top: "conv4_1" + name: "conv4_1" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv4_1" + top: "conv4_1" + name: "relu4_1" + type: "ReLU" +} +layer { + bottom: "conv4_1" + top: "conv4_2" + name: "conv4_2" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv4_2" + top: "conv4_2" + name: "relu4_2" + type: "ReLU" +} +layer { + bottom: "conv4_2" + top: "conv4_3" + name: "conv4_3" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv4_3" + top: "conv4_3" + name: "relu4_3" + type: "ReLU" +} +layer { + bottom: "conv4_3" + top: "pool4" + name: "pool4" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool4" + top: "conv5_1" + name: "conv5_1" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv5_1" + top: "conv5_1" + name: "relu5_1" + type: "ReLU" +} +layer { + bottom: "conv5_1" + top: "conv5_2" + name: "conv5_2" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv5_2" + top: "conv5_2" + name: "relu5_2" + type: "ReLU" +} +layer { + bottom: "conv5_2" + top: "conv5_3" + name: "conv5_3" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv5_3" + top: "conv5_3" + name: "relu5_3" + type: "ReLU" +} +layer { + bottom: "conv5_3" + top: "pool5" + name: "pool5" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: "InnerProduct" + inner_product_param { + num_output: 4096 + } +} +layer { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: "ReLU" +} +layer { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: "InnerProduct" + inner_product_param { + num_output: 4096 + } +} +layer { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: "ReLU" +} +layer { + bottom: "fc7" + top: "fc8" + name: "fc8-SOD100" + type: "InnerProduct" + inner_product_param { + num_output: 100 + } +} +layer { + bottom: "fc8" + top: "prob" + name: "prob" + type: "Sigmoid" +} diff --git a/24-07/caffe/deploy/37-Googledeploy.prototxt b/24-07/caffe/deploy/37-Googledeploy.prototxt new file mode 100644 index 0000000..bf78edd --- /dev/null +++ b/24-07/caffe/deploy/37-Googledeploy.prototxt @@ -0,0 +1,2136 @@ +name: "GoogleNet" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layer { + name: "conv1/7x7_s2" + type: "Convolution" + bottom: "data" + top: "conv1/7x7_s2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv1/relu_7x7" + type: "ReLU" + bottom: "conv1/7x7_s2" + top: "conv1/7x7_s2" +} +layer { + name: "pool1/3x3_s2" + type: "Pooling" + bottom: "conv1/7x7_s2" + top: "pool1/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "pool1/norm1" + type: "LRN" + bottom: "pool1/3x3_s2" + top: "pool1/norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "conv2/3x3_reduce" + type: "Convolution" + bottom: "pool1/norm1" + top: "conv2/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3_reduce" + type: "ReLU" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3_reduce" +} +layer { + name: "conv2/3x3" + type: "Convolution" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3" + type: "ReLU" + bottom: "conv2/3x3" + top: "conv2/3x3" +} +layer { + name: "conv2/norm2" + type: "LRN" + bottom: "conv2/3x3" + top: "conv2/norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "pool2/3x3_s2" + type: "Pooling" + bottom: "conv2/norm2" + top: "pool2/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_3a/1x1" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_1x1" + type: "ReLU" + bottom: "inception_3a/1x1" + top: "inception_3a/1x1" +} +layer { + name: "inception_3a/3x3_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3_reduce" +} +layer { + name: "inception_3a/3x3" + type: "Convolution" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3" + type: "ReLU" + bottom: "inception_3a/3x3" + top: "inception_3a/3x3" +} +layer { + name: "inception_3a/5x5_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5_reduce" +} +layer { + name: "inception_3a/5x5" + type: "Convolution" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5" + type: "ReLU" + bottom: "inception_3a/5x5" + top: "inception_3a/5x5" +} +layer { + name: "inception_3a/pool" + type: "Pooling" + bottom: "pool2/3x3_s2" + top: "inception_3a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3a/pool_proj" + type: "Convolution" + bottom: "inception_3a/pool" + top: "inception_3a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_pool_proj" + type: "ReLU" + bottom: "inception_3a/pool_proj" + top: "inception_3a/pool_proj" +} +layer { + name: "inception_3a/output" + type: "Concat" + bottom: "inception_3a/1x1" + bottom: "inception_3a/3x3" + bottom: "inception_3a/5x5" + bottom: "inception_3a/pool_proj" + top: "inception_3a/output" +} +layer { + name: "inception_3b/1x1" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_1x1" + type: "ReLU" + bottom: "inception_3b/1x1" + top: "inception_3b/1x1" +} +layer { + name: "inception_3b/3x3_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3_reduce" +} +layer { + name: "inception_3b/3x3" + type: "Convolution" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3" + type: "ReLU" + bottom: "inception_3b/3x3" + top: "inception_3b/3x3" +} +layer { + name: "inception_3b/5x5_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5_reduce" +} +layer { + name: "inception_3b/5x5" + type: "Convolution" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5" + type: "ReLU" + bottom: "inception_3b/5x5" + top: "inception_3b/5x5" +} +layer { + name: "inception_3b/pool" + type: "Pooling" + bottom: "inception_3a/output" + top: "inception_3b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3b/pool_proj" + type: "Convolution" + bottom: "inception_3b/pool" + top: "inception_3b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_pool_proj" + type: "ReLU" + bottom: "inception_3b/pool_proj" + top: "inception_3b/pool_proj" +} +layer { + name: "inception_3b/output" + type: "Concat" + bottom: "inception_3b/1x1" + bottom: "inception_3b/3x3" + bottom: "inception_3b/5x5" + bottom: "inception_3b/pool_proj" + top: "inception_3b/output" +} +layer { + name: "pool3/3x3_s2" + type: "Pooling" + bottom: "inception_3b/output" + top: "pool3/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_4a/1x1" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_1x1" + type: "ReLU" + bottom: "inception_4a/1x1" + top: "inception_4a/1x1" +} +layer { + name: "inception_4a/3x3_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3_reduce" +} +layer { + name: "inception_4a/3x3" + type: "Convolution" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3" + type: "ReLU" + bottom: "inception_4a/3x3" + top: "inception_4a/3x3" +} +layer { + name: "inception_4a/5x5_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5_reduce" +} +layer { + name: "inception_4a/5x5" + type: "Convolution" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5" + type: "ReLU" + bottom: "inception_4a/5x5" + top: "inception_4a/5x5" +} +layer { + name: "inception_4a/pool" + type: "Pooling" + bottom: "pool3/3x3_s2" + top: "inception_4a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4a/pool_proj" + type: "Convolution" + bottom: "inception_4a/pool" + top: "inception_4a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_pool_proj" + type: "ReLU" + bottom: "inception_4a/pool_proj" + top: "inception_4a/pool_proj" +} +layer { + name: "inception_4a/output" + type: "Concat" + bottom: "inception_4a/1x1" + bottom: "inception_4a/3x3" + bottom: "inception_4a/5x5" + bottom: "inception_4a/pool_proj" + top: "inception_4a/output" +} +layer { + name: "inception_4b/1x1" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_1x1" + type: "ReLU" + bottom: "inception_4b/1x1" + top: "inception_4b/1x1" +} +layer { + name: "inception_4b/3x3_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3_reduce" +} +layer { + name: "inception_4b/3x3" + type: "Convolution" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3" + type: "ReLU" + bottom: "inception_4b/3x3" + top: "inception_4b/3x3" +} +layer { + name: "inception_4b/5x5_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5_reduce" +} +layer { + name: "inception_4b/5x5" + type: "Convolution" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5" + type: "ReLU" + bottom: "inception_4b/5x5" + top: "inception_4b/5x5" +} +layer { + name: "inception_4b/pool" + type: "Pooling" + bottom: "inception_4a/output" + top: "inception_4b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4b/pool_proj" + type: "Convolution" + bottom: "inception_4b/pool" + top: "inception_4b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_pool_proj" + type: "ReLU" + bottom: "inception_4b/pool_proj" + top: "inception_4b/pool_proj" +} +layer { + name: "inception_4b/output" + type: "Concat" + bottom: "inception_4b/1x1" + bottom: "inception_4b/3x3" + bottom: "inception_4b/5x5" + bottom: "inception_4b/pool_proj" + top: "inception_4b/output" +} +layer { + name: "inception_4c/1x1" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_1x1" + type: "ReLU" + bottom: "inception_4c/1x1" + top: "inception_4c/1x1" +} +layer { + name: "inception_4c/3x3_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3_reduce" +} +layer { + name: "inception_4c/3x3" + type: "Convolution" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3" + type: "ReLU" + bottom: "inception_4c/3x3" + top: "inception_4c/3x3" +} +layer { + name: "inception_4c/5x5_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5_reduce" +} +layer { + name: "inception_4c/5x5" + type: "Convolution" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5" + type: "ReLU" + bottom: "inception_4c/5x5" + top: "inception_4c/5x5" +} +layer { + name: "inception_4c/pool" + type: "Pooling" + bottom: "inception_4b/output" + top: "inception_4c/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4c/pool_proj" + type: "Convolution" + bottom: "inception_4c/pool" + top: "inception_4c/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_pool_proj" + type: "ReLU" + bottom: "inception_4c/pool_proj" + top: "inception_4c/pool_proj" +} +layer { + name: "inception_4c/output" + type: "Concat" + bottom: "inception_4c/1x1" + bottom: "inception_4c/3x3" + bottom: "inception_4c/5x5" + bottom: "inception_4c/pool_proj" + top: "inception_4c/output" +} +layer { + name: "inception_4d/1x1" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_1x1" + type: "ReLU" + bottom: "inception_4d/1x1" + top: "inception_4d/1x1" +} +layer { + name: "inception_4d/3x3_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 144 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3_reduce" +} +layer { + name: "inception_4d/3x3" + type: "Convolution" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3" + type: "ReLU" + bottom: "inception_4d/3x3" + top: "inception_4d/3x3" +} +layer { + name: "inception_4d/5x5_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5_reduce" +} +layer { + name: "inception_4d/5x5" + type: "Convolution" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5" + type: "ReLU" + bottom: "inception_4d/5x5" + top: "inception_4d/5x5" +} +layer { + name: "inception_4d/pool" + type: "Pooling" + bottom: "inception_4c/output" + top: "inception_4d/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4d/pool_proj" + type: "Convolution" + bottom: "inception_4d/pool" + top: "inception_4d/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_pool_proj" + type: "ReLU" + bottom: "inception_4d/pool_proj" + top: "inception_4d/pool_proj" +} +layer { + name: "inception_4d/output" + type: "Concat" + bottom: "inception_4d/1x1" + bottom: "inception_4d/3x3" + bottom: "inception_4d/5x5" + bottom: "inception_4d/pool_proj" + top: "inception_4d/output" +} +layer { + name: "inception_4e/1x1" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_1x1" + type: "ReLU" + bottom: "inception_4e/1x1" + top: "inception_4e/1x1" +} +layer { + name: "inception_4e/3x3_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3_reduce" +} +layer { + name: "inception_4e/3x3" + type: "Convolution" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3" + type: "ReLU" + bottom: "inception_4e/3x3" + top: "inception_4e/3x3" +} +layer { + name: "inception_4e/5x5_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5_reduce" +} +layer { + name: "inception_4e/5x5" + type: "Convolution" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5" + type: "ReLU" + bottom: "inception_4e/5x5" + top: "inception_4e/5x5" +} +layer { + name: "inception_4e/pool" + type: "Pooling" + bottom: "inception_4d/output" + top: "inception_4e/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4e/pool_proj" + type: "Convolution" + bottom: "inception_4e/pool" + top: "inception_4e/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_pool_proj" + type: "ReLU" + bottom: "inception_4e/pool_proj" + top: "inception_4e/pool_proj" +} +layer { + name: "inception_4e/output" + type: "Concat" + bottom: "inception_4e/1x1" + bottom: "inception_4e/3x3" + bottom: "inception_4e/5x5" + bottom: "inception_4e/pool_proj" + top: "inception_4e/output" +} +layer { + name: "pool4/3x3_s2" + type: "Pooling" + bottom: "inception_4e/output" + top: "pool4/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_5a/1x1" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_1x1" + type: "ReLU" + bottom: "inception_5a/1x1" + top: "inception_5a/1x1" +} +layer { + name: "inception_5a/3x3_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3_reduce" +} +layer { + name: "inception_5a/3x3" + type: "Convolution" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3" + type: "ReLU" + bottom: "inception_5a/3x3" + top: "inception_5a/3x3" +} +layer { + name: "inception_5a/5x5_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5_reduce" +} +layer { + name: "inception_5a/5x5" + type: "Convolution" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5" + type: "ReLU" + bottom: "inception_5a/5x5" + top: "inception_5a/5x5" +} +layer { + name: "inception_5a/pool" + type: "Pooling" + bottom: "pool4/3x3_s2" + top: "inception_5a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5a/pool_proj" + type: "Convolution" + bottom: "inception_5a/pool" + top: "inception_5a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_pool_proj" + type: "ReLU" + bottom: "inception_5a/pool_proj" + top: "inception_5a/pool_proj" +} +layer { + name: "inception_5a/output" + type: "Concat" + bottom: "inception_5a/1x1" + bottom: "inception_5a/3x3" + bottom: "inception_5a/5x5" + bottom: "inception_5a/pool_proj" + top: "inception_5a/output" +} +layer { + name: "inception_5b/1x1" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_1x1" + type: "ReLU" + bottom: "inception_5b/1x1" + top: "inception_5b/1x1" +} +layer { + name: "inception_5b/3x3_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3_reduce" +} +layer { + name: "inception_5b/3x3" + type: "Convolution" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3" + type: "ReLU" + bottom: "inception_5b/3x3" + top: "inception_5b/3x3" +} +layer { + name: "inception_5b/5x5_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5_reduce" +} +layer { + name: "inception_5b/5x5" + type: "Convolution" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5" + type: "ReLU" + bottom: "inception_5b/5x5" + top: "inception_5b/5x5" +} +layer { + name: "inception_5b/pool" + type: "Pooling" + bottom: "inception_5a/output" + top: "inception_5b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5b/pool_proj" + type: "Convolution" + bottom: "inception_5b/pool" + top: "inception_5b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_pool_proj" + type: "ReLU" + bottom: "inception_5b/pool_proj" + top: "inception_5b/pool_proj" +} +layer { + name: "inception_5b/output" + type: "Concat" + bottom: "inception_5b/1x1" + bottom: "inception_5b/3x3" + bottom: "inception_5b/5x5" + bottom: "inception_5b/pool_proj" + top: "inception_5b/output" +} +layer { + name: "loss3/classifier-SOD" + type: "InnerProduct" + bottom: "inception_5b/output" + top: "loss3/classifier" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 100 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + bottom: "loss3/classifier" + top: "prob" + name: "prob" + type: "Sigmoid" +} diff --git a/24-07/caffe/deploy/38-1miohands-modelzoo-v2.prototxt b/24-07/caffe/deploy/38-1miohands-modelzoo-v2.prototxt new file mode 100644 index 0000000..8a3d221 --- /dev/null +++ b/24-07/caffe/deploy/38-1miohands-modelzoo-v2.prototxt @@ -0,0 +1,2368 @@ +name: "GoogleNet" + +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 + +layer { + name: "conv1/7x7_s2" + type: "Convolution" + bottom: "data" + top: "conv1/7x7_s2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv1/relu_7x7" + type: "ReLU" + bottom: "conv1/7x7_s2" + top: "conv1/7x7_s2" +} +layer { + name: "pool1/3x3_s2" + type: "Pooling" + bottom: "conv1/7x7_s2" + top: "pool1/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "pool1/norm1" + type: "LRN" + bottom: "pool1/3x3_s2" + top: "pool1/norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "conv2/3x3_reduce" + type: "Convolution" + bottom: "pool1/norm1" + top: "conv2/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3_reduce" + type: "ReLU" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3_reduce" +} +layer { + name: "conv2/3x3" + type: "Convolution" + bottom: "conv2/3x3_reduce" + top: "conv2/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "conv2/relu_3x3" + type: "ReLU" + bottom: "conv2/3x3" + top: "conv2/3x3" +} +layer { + name: "conv2/norm2" + type: "LRN" + bottom: "conv2/3x3" + top: "conv2/norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layer { + name: "pool2/3x3_s2" + type: "Pooling" + bottom: "conv2/norm2" + top: "pool2/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_3a/1x1" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_1x1" + type: "ReLU" + bottom: "inception_3a/1x1" + top: "inception_3a/1x1" +} +layer { + name: "inception_3a/3x3_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3_reduce" +} +layer { + name: "inception_3a/3x3" + type: "Convolution" + bottom: "inception_3a/3x3_reduce" + top: "inception_3a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_3x3" + type: "ReLU" + bottom: "inception_3a/3x3" + top: "inception_3a/3x3" +} +layer { + name: "inception_3a/5x5_reduce" + type: "Convolution" + bottom: "pool2/3x3_s2" + top: "inception_3a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5_reduce" +} +layer { + name: "inception_3a/5x5" + type: "Convolution" + bottom: "inception_3a/5x5_reduce" + top: "inception_3a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_5x5" + type: "ReLU" + bottom: "inception_3a/5x5" + top: "inception_3a/5x5" +} +layer { + name: "inception_3a/pool" + type: "Pooling" + bottom: "pool2/3x3_s2" + top: "inception_3a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3a/pool_proj" + type: "Convolution" + bottom: "inception_3a/pool" + top: "inception_3a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3a/relu_pool_proj" + type: "ReLU" + bottom: "inception_3a/pool_proj" + top: "inception_3a/pool_proj" +} +layer { + name: "inception_3a/output" + type: "Concat" + bottom: "inception_3a/1x1" + bottom: "inception_3a/3x3" + bottom: "inception_3a/5x5" + bottom: "inception_3a/pool_proj" + top: "inception_3a/output" +} +layer { + name: "inception_3b/1x1" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_1x1" + type: "ReLU" + bottom: "inception_3b/1x1" + top: "inception_3b/1x1" +} +layer { + name: "inception_3b/3x3_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3_reduce" +} +layer { + name: "inception_3b/3x3" + type: "Convolution" + bottom: "inception_3b/3x3_reduce" + top: "inception_3b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_3x3" + type: "ReLU" + bottom: "inception_3b/3x3" + top: "inception_3b/3x3" +} +layer { + name: "inception_3b/5x5_reduce" + type: "Convolution" + bottom: "inception_3a/output" + top: "inception_3b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5_reduce" +} +layer { + name: "inception_3b/5x5" + type: "Convolution" + bottom: "inception_3b/5x5_reduce" + top: "inception_3b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_5x5" + type: "ReLU" + bottom: "inception_3b/5x5" + top: "inception_3b/5x5" +} +layer { + name: "inception_3b/pool" + type: "Pooling" + bottom: "inception_3a/output" + top: "inception_3b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_3b/pool_proj" + type: "Convolution" + bottom: "inception_3b/pool" + top: "inception_3b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_3b/relu_pool_proj" + type: "ReLU" + bottom: "inception_3b/pool_proj" + top: "inception_3b/pool_proj" +} +layer { + name: "inception_3b/output" + type: "Concat" + bottom: "inception_3b/1x1" + bottom: "inception_3b/3x3" + bottom: "inception_3b/5x5" + bottom: "inception_3b/pool_proj" + top: "inception_3b/output" +} +layer { + name: "pool3/3x3_s2" + type: "Pooling" + bottom: "inception_3b/output" + top: "pool3/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_4a/1x1" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_1x1" + type: "ReLU" + bottom: "inception_4a/1x1" + top: "inception_4a/1x1" +} +layer { + name: "inception_4a/3x3_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3_reduce" +} +layer { + name: "inception_4a/3x3" + type: "Convolution" + bottom: "inception_4a/3x3_reduce" + top: "inception_4a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 208 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_3x3" + type: "ReLU" + bottom: "inception_4a/3x3" + top: "inception_4a/3x3" +} +layer { + name: "inception_4a/5x5_reduce" + type: "Convolution" + bottom: "pool3/3x3_s2" + top: "inception_4a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 16 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5_reduce" +} +layer { + name: "inception_4a/5x5" + type: "Convolution" + bottom: "inception_4a/5x5_reduce" + top: "inception_4a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_5x5" + type: "ReLU" + bottom: "inception_4a/5x5" + top: "inception_4a/5x5" +} +layer { + name: "inception_4a/pool" + type: "Pooling" + bottom: "pool3/3x3_s2" + top: "inception_4a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4a/pool_proj" + type: "Convolution" + bottom: "inception_4a/pool" + top: "inception_4a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4a/relu_pool_proj" + type: "ReLU" + bottom: "inception_4a/pool_proj" + top: "inception_4a/pool_proj" +} +layer { + name: "inception_4a/output" + type: "Concat" + bottom: "inception_4a/1x1" + bottom: "inception_4a/3x3" + bottom: "inception_4a/5x5" + bottom: "inception_4a/pool_proj" + top: "inception_4a/output" +} +layer { + name: "loss1/ave_pool" + type: "Pooling" + bottom: "inception_4a/output" + top: "loss1/ave_pool" + pooling_param { + pool: AVE + kernel_size: 5 + stride: 3 + } +} +layer { + name: "loss1/conv" + type: "Convolution" + bottom: "loss1/ave_pool" + top: "loss1/conv" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "loss1/relu_conv" + type: "ReLU" + bottom: "loss1/conv" + top: "loss1/conv" +} +layer { + name: "loss1/fc" + type: "InnerProduct" + bottom: "loss1/conv" + top: "loss1/fc" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 1024 + weight_filler { + type: "xavier" + std: 0.02 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "loss1/relu_fc" + type: "ReLU" + bottom: "loss1/fc" + top: "loss1/fc" +} +layer { + name: "loss1/drop_fc" + type: "Dropout" + bottom: "loss1/fc" + top: "loss1/fc" + dropout_param { + dropout_ratio: 0.7 + } +} +layer { + name: "loss1/SLclassifier" + type: "InnerProduct" + bottom: "loss1/fc" + top: "loss1/SLclassifier" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 61 + weight_filler { + type: "xavier" + std: 0.0009765625 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "inception_4b/1x1" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_1x1" + type: "ReLU" + bottom: "inception_4b/1x1" + top: "inception_4b/1x1" +} +layer { + name: "inception_4b/3x3_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3_reduce" +} +layer { + name: "inception_4b/3x3" + type: "Convolution" + bottom: "inception_4b/3x3_reduce" + top: "inception_4b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 224 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_3x3" + type: "ReLU" + bottom: "inception_4b/3x3" + top: "inception_4b/3x3" +} +layer { + name: "inception_4b/5x5_reduce" + type: "Convolution" + bottom: "inception_4a/output" + top: "inception_4b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5_reduce" +} +layer { + name: "inception_4b/5x5" + type: "Convolution" + bottom: "inception_4b/5x5_reduce" + top: "inception_4b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_5x5" + type: "ReLU" + bottom: "inception_4b/5x5" + top: "inception_4b/5x5" +} +layer { + name: "inception_4b/pool" + type: "Pooling" + bottom: "inception_4a/output" + top: "inception_4b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4b/pool_proj" + type: "Convolution" + bottom: "inception_4b/pool" + top: "inception_4b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4b/relu_pool_proj" + type: "ReLU" + bottom: "inception_4b/pool_proj" + top: "inception_4b/pool_proj" +} +layer { + name: "inception_4b/output" + type: "Concat" + bottom: "inception_4b/1x1" + bottom: "inception_4b/3x3" + bottom: "inception_4b/5x5" + bottom: "inception_4b/pool_proj" + top: "inception_4b/output" +} +layer { + name: "inception_4c/1x1" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_1x1" + type: "ReLU" + bottom: "inception_4c/1x1" + top: "inception_4c/1x1" +} +layer { + name: "inception_4c/3x3_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3_reduce" +} +layer { + name: "inception_4c/3x3" + type: "Convolution" + bottom: "inception_4c/3x3_reduce" + top: "inception_4c/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_3x3" + type: "ReLU" + bottom: "inception_4c/3x3" + top: "inception_4c/3x3" +} +layer { + name: "inception_4c/5x5_reduce" + type: "Convolution" + bottom: "inception_4b/output" + top: "inception_4c/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 24 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5_reduce" +} +layer { + name: "inception_4c/5x5" + type: "Convolution" + bottom: "inception_4c/5x5_reduce" + top: "inception_4c/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_5x5" + type: "ReLU" + bottom: "inception_4c/5x5" + top: "inception_4c/5x5" +} +layer { + name: "inception_4c/pool" + type: "Pooling" + bottom: "inception_4b/output" + top: "inception_4c/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4c/pool_proj" + type: "Convolution" + bottom: "inception_4c/pool" + top: "inception_4c/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4c/relu_pool_proj" + type: "ReLU" + bottom: "inception_4c/pool_proj" + top: "inception_4c/pool_proj" +} +layer { + name: "inception_4c/output" + type: "Concat" + bottom: "inception_4c/1x1" + bottom: "inception_4c/3x3" + bottom: "inception_4c/5x5" + bottom: "inception_4c/pool_proj" + top: "inception_4c/output" +} +layer { + name: "inception_4d/1x1" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 112 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_1x1" + type: "ReLU" + bottom: "inception_4d/1x1" + top: "inception_4d/1x1" +} +layer { + name: "inception_4d/3x3_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 144 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3_reduce" +} +layer { + name: "inception_4d/3x3" + type: "Convolution" + bottom: "inception_4d/3x3_reduce" + top: "inception_4d/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 288 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_3x3" + type: "ReLU" + bottom: "inception_4d/3x3" + top: "inception_4d/3x3" +} +layer { + name: "inception_4d/5x5_reduce" + type: "Convolution" + bottom: "inception_4c/output" + top: "inception_4d/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5_reduce" +} +layer { + name: "inception_4d/5x5" + type: "Convolution" + bottom: "inception_4d/5x5_reduce" + top: "inception_4d/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_5x5" + type: "ReLU" + bottom: "inception_4d/5x5" + top: "inception_4d/5x5" +} +layer { + name: "inception_4d/pool" + type: "Pooling" + bottom: "inception_4c/output" + top: "inception_4d/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4d/pool_proj" + type: "Convolution" + bottom: "inception_4d/pool" + top: "inception_4d/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4d/relu_pool_proj" + type: "ReLU" + bottom: "inception_4d/pool_proj" + top: "inception_4d/pool_proj" +} +layer { + name: "inception_4d/output" + type: "Concat" + bottom: "inception_4d/1x1" + bottom: "inception_4d/3x3" + bottom: "inception_4d/5x5" + bottom: "inception_4d/pool_proj" + top: "inception_4d/output" +} +layer { + name: "loss2/ave_pool" + type: "Pooling" + bottom: "inception_4d/output" + top: "loss2/ave_pool" + pooling_param { + pool: AVE + kernel_size: 5 + stride: 3 + } +} +layer { + name: "loss2/conv" + type: "Convolution" + bottom: "loss2/ave_pool" + top: "loss2/conv" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.08 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "loss2/relu_conv" + type: "ReLU" + bottom: "loss2/conv" + top: "loss2/conv" +} +layer { + name: "loss2/fc" + type: "InnerProduct" + bottom: "loss2/conv" + top: "loss2/fc" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 1024 + weight_filler { + type: "xavier" + std: 0.02 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "loss2/relu_fc" + type: "ReLU" + bottom: "loss2/fc" + top: "loss2/fc" +} +layer { + name: "loss2/drop_fc" + type: "Dropout" + bottom: "loss2/fc" + top: "loss2/fc" + dropout_param { + dropout_ratio: 0.7 + } +} +layer { + name: "loss2/SLclassifier" + type: "InnerProduct" + bottom: "loss2/fc" + top: "loss2/SLclassifier" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 61 + weight_filler { + type: "xavier" + std: 0.0009765625 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "inception_4e/1x1" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_1x1" + type: "ReLU" + bottom: "inception_4e/1x1" + top: "inception_4e/1x1" +} +layer { + name: "inception_4e/3x3_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3_reduce" +} +layer { + name: "inception_4e/3x3" + type: "Convolution" + bottom: "inception_4e/3x3_reduce" + top: "inception_4e/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_3x3" + type: "ReLU" + bottom: "inception_4e/3x3" + top: "inception_4e/3x3" +} +layer { + name: "inception_4e/5x5_reduce" + type: "Convolution" + bottom: "inception_4d/output" + top: "inception_4e/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5_reduce" +} +layer { + name: "inception_4e/5x5" + type: "Convolution" + bottom: "inception_4e/5x5_reduce" + top: "inception_4e/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_5x5" + type: "ReLU" + bottom: "inception_4e/5x5" + top: "inception_4e/5x5" +} +layer { + name: "inception_4e/pool" + type: "Pooling" + bottom: "inception_4d/output" + top: "inception_4e/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_4e/pool_proj" + type: "Convolution" + bottom: "inception_4e/pool" + top: "inception_4e/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_4e/relu_pool_proj" + type: "ReLU" + bottom: "inception_4e/pool_proj" + top: "inception_4e/pool_proj" +} +layer { + name: "inception_4e/output" + type: "Concat" + bottom: "inception_4e/1x1" + bottom: "inception_4e/3x3" + bottom: "inception_4e/5x5" + bottom: "inception_4e/pool_proj" + top: "inception_4e/output" +} +layer { + name: "pool4/3x3_s2" + type: "Pooling" + bottom: "inception_4e/output" + top: "pool4/3x3_s2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "inception_5a/1x1" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_1x1" + type: "ReLU" + bottom: "inception_5a/1x1" + top: "inception_5a/1x1" +} +layer { + name: "inception_5a/3x3_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 160 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3_reduce" +} +layer { + name: "inception_5a/3x3" + type: "Convolution" + bottom: "inception_5a/3x3_reduce" + top: "inception_5a/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 320 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_3x3" + type: "ReLU" + bottom: "inception_5a/3x3" + top: "inception_5a/3x3" +} +layer { + name: "inception_5a/5x5_reduce" + type: "Convolution" + bottom: "pool4/3x3_s2" + top: "inception_5a/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 32 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5_reduce" +} +layer { + name: "inception_5a/5x5" + type: "Convolution" + bottom: "inception_5a/5x5_reduce" + top: "inception_5a/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_5x5" + type: "ReLU" + bottom: "inception_5a/5x5" + top: "inception_5a/5x5" +} +layer { + name: "inception_5a/pool" + type: "Pooling" + bottom: "pool4/3x3_s2" + top: "inception_5a/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5a/pool_proj" + type: "Convolution" + bottom: "inception_5a/pool" + top: "inception_5a/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5a/relu_pool_proj" + type: "ReLU" + bottom: "inception_5a/pool_proj" + top: "inception_5a/pool_proj" +} +layer { + name: "inception_5a/output" + type: "Concat" + bottom: "inception_5a/1x1" + bottom: "inception_5a/3x3" + bottom: "inception_5a/5x5" + bottom: "inception_5a/pool_proj" + top: "inception_5a/output" +} +layer { + name: "inception_5b/1x1" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/1x1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_1x1" + type: "ReLU" + bottom: "inception_5b/1x1" + top: "inception_5b/1x1" +} +layer { + name: "inception_5b/3x3_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/3x3_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 192 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.09 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3_reduce" + type: "ReLU" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3_reduce" +} +layer { + name: "inception_5b/3x3" + type: "Convolution" + bottom: "inception_5b/3x3_reduce" + top: "inception_5b/3x3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_3x3" + type: "ReLU" + bottom: "inception_5b/3x3" + top: "inception_5b/3x3" +} +layer { + name: "inception_5b/5x5_reduce" + type: "Convolution" + bottom: "inception_5a/output" + top: "inception_5b/5x5_reduce" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 48 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.2 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5_reduce" + type: "ReLU" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5_reduce" +} +layer { + name: "inception_5b/5x5" + type: "Convolution" + bottom: "inception_5b/5x5_reduce" + top: "inception_5b/5x5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 2 + kernel_size: 5 + weight_filler { + type: "xavier" + std: 0.03 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_5x5" + type: "ReLU" + bottom: "inception_5b/5x5" + top: "inception_5b/5x5" +} +layer { + name: "inception_5b/pool" + type: "Pooling" + bottom: "inception_5a/output" + top: "inception_5b/pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} +layer { + name: "inception_5b/pool_proj" + type: "Convolution" + bottom: "inception_5b/pool" + top: "inception_5b/pool_proj" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + kernel_size: 1 + weight_filler { + type: "xavier" + std: 0.1 + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} +layer { + name: "inception_5b/relu_pool_proj" + type: "ReLU" + bottom: "inception_5b/pool_proj" + top: "inception_5b/pool_proj" +} +layer { + name: "inception_5b/output" + type: "Concat" + bottom: "inception_5b/1x1" + bottom: "inception_5b/3x3" + bottom: "inception_5b/5x5" + bottom: "inception_5b/pool_proj" + top: "inception_5b/output" +} +layer { + name: "pool5/7x7_s1" + type: "Pooling" + bottom: "inception_5b/output" + top: "pool5/7x7_s1" + pooling_param { + pool: AVE + kernel_size: 7 + stride: 1 + } +} +layer { + name: "pool5/drop_7x7_s1" + type: "Dropout" + bottom: "pool5/7x7_s1" + top: "pool5/7x7_s1" + dropout_param { + dropout_ratio: 0.4 + } +} +layer { + name: "loss3/SLclassifier" + type: "InnerProduct" + bottom: "pool5/7x7_s1" + top: "loss3/SLclassifier" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 61 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} diff --git a/24-07/caffe/deploy/39-InceptionBN-21K-for-Caffe.prototxt b/24-07/caffe/deploy/39-InceptionBN-21K-for-Caffe.prototxt new file mode 100644 index 0000000..b5df2f3 --- /dev/null +++ b/24-07/caffe/deploy/39-InceptionBN-21K-for-Caffe.prototxt @@ -0,0 +1,3065 @@ +name: "Inception21k" +layer { + name: "data" + type: "Input" + top: "data" + input_param { shape: { dim: 10 dim: 3 dim: 224 dim: 224 } } +} + +layer { + name: "conv_conv1" + type: "Convolution" + bottom: "data" + top: "conv_conv1" + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 2 + pad: 3 + } +} + +layer { + name: "bn_conv1" + type: "BatchNorm" + bottom: "conv_conv1" + top: "conv_conv1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_conv1" + bottom: "conv_conv1" + top: "conv_conv1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_conv1" + type: "ReLU" + bottom: "conv_conv1" + top: "conv_conv1" +} + +layer { + name: "pool1" + type: "Pooling" + bottom: "conv_conv1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} + +layer { + name: "conv_conv2red" + type: "Convolution" + bottom: "pool1" + top: "conv_conv2red" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_conv2red" + type: "BatchNorm" + bottom: "conv_conv2red" + top: "conv_conv2red" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_conv2red" + bottom: "conv_conv2red" + top: "conv_conv2red" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_conv2red" + type: "ReLU" + bottom: "conv_conv2red" + top: "conv_conv2red" +} + +layer { + name: "conv_conv2" + type: "Convolution" + bottom: "conv_conv2red" + top: "conv_conv2" + convolution_param { + num_output: 288 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_conv2" + type: "BatchNorm" + bottom: "conv_conv2" + top: "conv_conv2" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_conv2" + bottom: "conv_conv2" + top: "conv_conv2" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_conv2" + type: "ReLU" + bottom: "conv_conv2" + top: "conv_conv2" +} + +layer { + name: "pool2" + type: "Pooling" + bottom: "conv_conv2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} + +layer { + name: "conv_3a_1x1" + type: "Convolution" + bottom: "pool2" + top: "conv_3a_1x1" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3a_1x1" + type: "BatchNorm" + bottom: "conv_3a_1x1" + top: "conv_3a_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_1x1" + bottom: "conv_3a_1x1" + top: "conv_3a_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_1x1" + type: "ReLU" + bottom: "conv_3a_1x1" + top: "conv_3a_1x1" +} + +layer { + name: "conv_3a_3x3_reduce" + type: "Convolution" + bottom: "pool2" + top: "conv_3a_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3a_3x3_reduce" + type: "BatchNorm" + bottom: "conv_3a_3x3_reduce" + top: "conv_3a_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_3x3_reduce" + bottom: "conv_3a_3x3_reduce" + top: "conv_3a_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_3x3_reduce" + type: "ReLU" + bottom: "conv_3a_3x3_reduce" + top: "conv_3a_3x3_reduce" +} + +layer { + name: "conv_3a_3x3" + type: "Convolution" + bottom: "conv_3a_3x3_reduce" + top: "conv_3a_3x3" + convolution_param { + num_output: 96 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3a_3x3" + type: "BatchNorm" + bottom: "conv_3a_3x3" + top: "conv_3a_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_3x3" + bottom: "conv_3a_3x3" + top: "conv_3a_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_3x3" + type: "ReLU" + bottom: "conv_3a_3x3" + top: "conv_3a_3x3" +} + +layer { + name: "conv_3a_double_3x3_reduce" + type: "Convolution" + bottom: "pool2" + top: "conv_3a_double_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3a_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_3a_double_3x3_reduce" + top: "conv_3a_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_double_3x3_reduce" + bottom: "conv_3a_double_3x3_reduce" + top: "conv_3a_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_double_3x3_reduce" + type: "ReLU" + bottom: "conv_3a_double_3x3_reduce" + top: "conv_3a_double_3x3_reduce" +} + +layer { + name: "conv_3a_double_3x3_0" + type: "Convolution" + bottom: "conv_3a_double_3x3_reduce" + top: "conv_3a_double_3x3_0" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3a_double_3x3_0" + type: "BatchNorm" + bottom: "conv_3a_double_3x3_0" + top: "conv_3a_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_double_3x3_0" + bottom: "conv_3a_double_3x3_0" + top: "conv_3a_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_double_3x3_0" + type: "ReLU" + bottom: "conv_3a_double_3x3_0" + top: "conv_3a_double_3x3_0" +} + +layer { + name: "conv_3a_double_3x3_1" + type: "Convolution" + bottom: "conv_3a_double_3x3_0" + top: "conv_3a_double_3x3_1" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3a_double_3x3_1" + type: "BatchNorm" + bottom: "conv_3a_double_3x3_1" + top: "conv_3a_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_double_3x3_1" + bottom: "conv_3a_double_3x3_1" + top: "conv_3a_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_double_3x3_1" + type: "ReLU" + bottom: "conv_3a_double_3x3_1" + top: "conv_3a_double_3x3_1" +} + +layer { + name: "ave_pool_3a_pool" + type: "Pooling" + bottom: "pool2" + top: "ave_pool_3a_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_3a_proj" + type: "Convolution" + bottom: "ave_pool_3a_pool" + top: "conv_3a_proj" + convolution_param { + num_output: 48 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3a_proj" + type: "BatchNorm" + bottom: "conv_3a_proj" + top: "conv_3a_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3a_proj" + bottom: "conv_3a_proj" + top: "conv_3a_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3a_proj" + type: "ReLU" + bottom: "conv_3a_proj" + top: "conv_3a_proj" +} + +layer { + name: "ch_concat_3a_chconcat" + type: "Concat" + bottom: "conv_3a_1x1" + bottom: "conv_3a_3x3" + bottom: "conv_3a_double_3x3_1" + bottom: "conv_3a_proj" + top: "ch_concat_3a_chconcat" +} + +layer { + name: "conv_3b_1x1" + type: "Convolution" + bottom: "ch_concat_3a_chconcat" + top: "conv_3b_1x1" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3b_1x1" + type: "BatchNorm" + bottom: "conv_3b_1x1" + top: "conv_3b_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_1x1" + bottom: "conv_3b_1x1" + top: "conv_3b_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_1x1" + type: "ReLU" + bottom: "conv_3b_1x1" + top: "conv_3b_1x1" +} + +layer { + name: "conv_3b_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_3a_chconcat" + top: "conv_3b_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3b_3x3_reduce" + type: "BatchNorm" + bottom: "conv_3b_3x3_reduce" + top: "conv_3b_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_3x3_reduce" + bottom: "conv_3b_3x3_reduce" + top: "conv_3b_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_3x3_reduce" + type: "ReLU" + bottom: "conv_3b_3x3_reduce" + top: "conv_3b_3x3_reduce" +} + +layer { + name: "conv_3b_3x3" + type: "Convolution" + bottom: "conv_3b_3x3_reduce" + top: "conv_3b_3x3" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3b_3x3" + type: "BatchNorm" + bottom: "conv_3b_3x3" + top: "conv_3b_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_3x3" + bottom: "conv_3b_3x3" + top: "conv_3b_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_3x3" + type: "ReLU" + bottom: "conv_3b_3x3" + top: "conv_3b_3x3" +} + +layer { + name: "conv_3b_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_3a_chconcat" + top: "conv_3b_double_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3b_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_3b_double_3x3_reduce" + top: "conv_3b_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_double_3x3_reduce" + bottom: "conv_3b_double_3x3_reduce" + top: "conv_3b_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_double_3x3_reduce" + type: "ReLU" + bottom: "conv_3b_double_3x3_reduce" + top: "conv_3b_double_3x3_reduce" +} + +layer { + name: "conv_3b_double_3x3_0" + type: "Convolution" + bottom: "conv_3b_double_3x3_reduce" + top: "conv_3b_double_3x3_0" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3b_double_3x3_0" + type: "BatchNorm" + bottom: "conv_3b_double_3x3_0" + top: "conv_3b_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_double_3x3_0" + bottom: "conv_3b_double_3x3_0" + top: "conv_3b_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_double_3x3_0" + type: "ReLU" + bottom: "conv_3b_double_3x3_0" + top: "conv_3b_double_3x3_0" +} + +layer { + name: "conv_3b_double_3x3_1" + type: "Convolution" + bottom: "conv_3b_double_3x3_0" + top: "conv_3b_double_3x3_1" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3b_double_3x3_1" + type: "BatchNorm" + bottom: "conv_3b_double_3x3_1" + top: "conv_3b_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_double_3x3_1" + bottom: "conv_3b_double_3x3_1" + top: "conv_3b_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_double_3x3_1" + type: "ReLU" + bottom: "conv_3b_double_3x3_1" + top: "conv_3b_double_3x3_1" +} + +layer { + name: "ave_pool_3b_pool" + type: "Pooling" + bottom: "ch_concat_3a_chconcat" + top: "ave_pool_3b_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_3b_proj" + type: "Convolution" + bottom: "ave_pool_3b_pool" + top: "conv_3b_proj" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3b_proj" + type: "BatchNorm" + bottom: "conv_3b_proj" + top: "conv_3b_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3b_proj" + bottom: "conv_3b_proj" + top: "conv_3b_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3b_proj" + type: "ReLU" + bottom: "conv_3b_proj" + top: "conv_3b_proj" +} + +layer { + name: "ch_concat_3b_chconcat" + type: "Concat" + bottom: "conv_3b_1x1" + bottom: "conv_3b_3x3" + bottom: "conv_3b_double_3x3_1" + bottom: "conv_3b_proj" + top: "ch_concat_3b_chconcat" +} + +layer { + name: "conv_3c_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_3b_chconcat" + top: "conv_3c_3x3_reduce" + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3c_3x3_reduce" + type: "BatchNorm" + bottom: "conv_3c_3x3_reduce" + top: "conv_3c_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3c_3x3_reduce" + bottom: "conv_3c_3x3_reduce" + top: "conv_3c_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3c_3x3_reduce" + type: "ReLU" + bottom: "conv_3c_3x3_reduce" + top: "conv_3c_3x3_reduce" +} + +layer { + name: "conv_3c_3x3" + type: "Convolution" + bottom: "conv_3c_3x3_reduce" + top: "conv_3c_3x3" + convolution_param { + num_output: 240 + kernel_size: 3 + stride: 2 + pad: 1 + } +} + +layer { + name: "bn_3c_3x3" + type: "BatchNorm" + bottom: "conv_3c_3x3" + top: "conv_3c_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3c_3x3" + bottom: "conv_3c_3x3" + top: "conv_3c_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3c_3x3" + type: "ReLU" + bottom: "conv_3c_3x3" + top: "conv_3c_3x3" +} + +layer { + name: "conv_3c_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_3b_chconcat" + top: "conv_3c_double_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_3c_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_3c_double_3x3_reduce" + top: "conv_3c_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3c_double_3x3_reduce" + bottom: "conv_3c_double_3x3_reduce" + top: "conv_3c_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3c_double_3x3_reduce" + type: "ReLU" + bottom: "conv_3c_double_3x3_reduce" + top: "conv_3c_double_3x3_reduce" +} + +layer { + name: "conv_3c_double_3x3_0" + type: "Convolution" + bottom: "conv_3c_double_3x3_reduce" + top: "conv_3c_double_3x3_0" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_3c_double_3x3_0" + type: "BatchNorm" + bottom: "conv_3c_double_3x3_0" + top: "conv_3c_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3c_double_3x3_0" + bottom: "conv_3c_double_3x3_0" + top: "conv_3c_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3c_double_3x3_0" + type: "ReLU" + bottom: "conv_3c_double_3x3_0" + top: "conv_3c_double_3x3_0" +} + +layer { + name: "conv_3c_double_3x3_1" + type: "Convolution" + bottom: "conv_3c_double_3x3_0" + top: "conv_3c_double_3x3_1" + convolution_param { + num_output: 144 + kernel_size: 3 + stride: 2 + pad: 1 + } +} + +layer { + name: "bn_3c_double_3x3_1" + type: "BatchNorm" + bottom: "conv_3c_double_3x3_1" + top: "conv_3c_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_3c_double_3x3_1" + bottom: "conv_3c_double_3x3_1" + top: "conv_3c_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_3c_double_3x3_1" + type: "ReLU" + bottom: "conv_3c_double_3x3_1" + top: "conv_3c_double_3x3_1" +} + +layer { + name: "max_pool_3c_pool" + type: "Pooling" + bottom: "ch_concat_3b_chconcat" + top: "max_pool_3c_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} + +layer { + name: "ch_concat_3c_chconcat" + type: "Concat" + bottom: "conv_3c_3x3" + bottom: "conv_3c_double_3x3_1" + bottom: "max_pool_3c_pool" + top: "ch_concat_3c_chconcat" +} + +layer { + name: "conv_4a_1x1" + type: "Convolution" + bottom: "ch_concat_3c_chconcat" + top: "conv_4a_1x1" + convolution_param { + num_output: 224 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4a_1x1" + type: "BatchNorm" + bottom: "conv_4a_1x1" + top: "conv_4a_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_1x1" + bottom: "conv_4a_1x1" + top: "conv_4a_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_1x1" + type: "ReLU" + bottom: "conv_4a_1x1" + top: "conv_4a_1x1" +} + +layer { + name: "conv_4a_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_3c_chconcat" + top: "conv_4a_3x3_reduce" + convolution_param { + num_output: 64 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4a_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4a_3x3_reduce" + top: "conv_4a_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_3x3_reduce" + bottom: "conv_4a_3x3_reduce" + top: "conv_4a_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_3x3_reduce" + type: "ReLU" + bottom: "conv_4a_3x3_reduce" + top: "conv_4a_3x3_reduce" +} + +layer { + name: "conv_4a_3x3" + type: "Convolution" + bottom: "conv_4a_3x3_reduce" + top: "conv_4a_3x3" + convolution_param { + num_output: 96 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4a_3x3" + type: "BatchNorm" + bottom: "conv_4a_3x3" + top: "conv_4a_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_3x3" + bottom: "conv_4a_3x3" + top: "conv_4a_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_3x3" + type: "ReLU" + bottom: "conv_4a_3x3" + top: "conv_4a_3x3" +} + +layer { + name: "conv_4a_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_3c_chconcat" + top: "conv_4a_double_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4a_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4a_double_3x3_reduce" + top: "conv_4a_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_double_3x3_reduce" + bottom: "conv_4a_double_3x3_reduce" + top: "conv_4a_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_double_3x3_reduce" + type: "ReLU" + bottom: "conv_4a_double_3x3_reduce" + top: "conv_4a_double_3x3_reduce" +} + +layer { + name: "conv_4a_double_3x3_0" + type: "Convolution" + bottom: "conv_4a_double_3x3_reduce" + top: "conv_4a_double_3x3_0" + convolution_param { + num_output: 128 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4a_double_3x3_0" + type: "BatchNorm" + bottom: "conv_4a_double_3x3_0" + top: "conv_4a_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_double_3x3_0" + bottom: "conv_4a_double_3x3_0" + top: "conv_4a_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_double_3x3_0" + type: "ReLU" + bottom: "conv_4a_double_3x3_0" + top: "conv_4a_double_3x3_0" +} + +layer { + name: "conv_4a_double_3x3_1" + type: "Convolution" + bottom: "conv_4a_double_3x3_0" + top: "conv_4a_double_3x3_1" + convolution_param { + num_output: 128 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4a_double_3x3_1" + type: "BatchNorm" + bottom: "conv_4a_double_3x3_1" + top: "conv_4a_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_double_3x3_1" + bottom: "conv_4a_double_3x3_1" + top: "conv_4a_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_double_3x3_1" + type: "ReLU" + bottom: "conv_4a_double_3x3_1" + top: "conv_4a_double_3x3_1" +} + +layer { + name: "ave_pool_4a_pool" + type: "Pooling" + bottom: "ch_concat_3c_chconcat" + top: "ave_pool_4a_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_4a_proj" + type: "Convolution" + bottom: "ave_pool_4a_pool" + top: "conv_4a_proj" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4a_proj" + type: "BatchNorm" + bottom: "conv_4a_proj" + top: "conv_4a_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4a_proj" + bottom: "conv_4a_proj" + top: "conv_4a_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4a_proj" + type: "ReLU" + bottom: "conv_4a_proj" + top: "conv_4a_proj" +} + +layer { + name: "ch_concat_4a_chconcat" + type: "Concat" + bottom: "conv_4a_1x1" + bottom: "conv_4a_3x3" + bottom: "conv_4a_double_3x3_1" + bottom: "conv_4a_proj" + top: "ch_concat_4a_chconcat" +} + +layer { + name: "conv_4b_1x1" + type: "Convolution" + bottom: "ch_concat_4a_chconcat" + top: "conv_4b_1x1" + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4b_1x1" + type: "BatchNorm" + bottom: "conv_4b_1x1" + top: "conv_4b_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_1x1" + bottom: "conv_4b_1x1" + top: "conv_4b_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_1x1" + type: "ReLU" + bottom: "conv_4b_1x1" + top: "conv_4b_1x1" +} + +layer { + name: "conv_4b_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4a_chconcat" + top: "conv_4b_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4b_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4b_3x3_reduce" + top: "conv_4b_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_3x3_reduce" + bottom: "conv_4b_3x3_reduce" + top: "conv_4b_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_3x3_reduce" + type: "ReLU" + bottom: "conv_4b_3x3_reduce" + top: "conv_4b_3x3_reduce" +} + +layer { + name: "conv_4b_3x3" + type: "Convolution" + bottom: "conv_4b_3x3_reduce" + top: "conv_4b_3x3" + convolution_param { + num_output: 128 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4b_3x3" + type: "BatchNorm" + bottom: "conv_4b_3x3" + top: "conv_4b_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_3x3" + bottom: "conv_4b_3x3" + top: "conv_4b_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_3x3" + type: "ReLU" + bottom: "conv_4b_3x3" + top: "conv_4b_3x3" +} + +layer { + name: "conv_4b_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4a_chconcat" + top: "conv_4b_double_3x3_reduce" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4b_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4b_double_3x3_reduce" + top: "conv_4b_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_double_3x3_reduce" + bottom: "conv_4b_double_3x3_reduce" + top: "conv_4b_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_double_3x3_reduce" + type: "ReLU" + bottom: "conv_4b_double_3x3_reduce" + top: "conv_4b_double_3x3_reduce" +} + +layer { + name: "conv_4b_double_3x3_0" + type: "Convolution" + bottom: "conv_4b_double_3x3_reduce" + top: "conv_4b_double_3x3_0" + convolution_param { + num_output: 128 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4b_double_3x3_0" + type: "BatchNorm" + bottom: "conv_4b_double_3x3_0" + top: "conv_4b_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_double_3x3_0" + bottom: "conv_4b_double_3x3_0" + top: "conv_4b_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_double_3x3_0" + type: "ReLU" + bottom: "conv_4b_double_3x3_0" + top: "conv_4b_double_3x3_0" +} + +layer { + name: "conv_4b_double_3x3_1" + type: "Convolution" + bottom: "conv_4b_double_3x3_0" + top: "conv_4b_double_3x3_1" + convolution_param { + num_output: 128 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4b_double_3x3_1" + type: "BatchNorm" + bottom: "conv_4b_double_3x3_1" + top: "conv_4b_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_double_3x3_1" + bottom: "conv_4b_double_3x3_1" + top: "conv_4b_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_double_3x3_1" + type: "ReLU" + bottom: "conv_4b_double_3x3_1" + top: "conv_4b_double_3x3_1" +} + +layer { + name: "ave_pool_4b_pool" + type: "Pooling" + bottom: "ch_concat_4a_chconcat" + top: "ave_pool_4b_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_4b_proj" + type: "Convolution" + bottom: "ave_pool_4b_pool" + top: "conv_4b_proj" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4b_proj" + type: "BatchNorm" + bottom: "conv_4b_proj" + top: "conv_4b_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4b_proj" + bottom: "conv_4b_proj" + top: "conv_4b_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4b_proj" + type: "ReLU" + bottom: "conv_4b_proj" + top: "conv_4b_proj" +} + +layer { + name: "ch_concat_4b_chconcat" + type: "Concat" + bottom: "conv_4b_1x1" + bottom: "conv_4b_3x3" + bottom: "conv_4b_double_3x3_1" + bottom: "conv_4b_proj" + top: "ch_concat_4b_chconcat" +} + +layer { + name: "conv_4c_1x1" + type: "Convolution" + bottom: "ch_concat_4b_chconcat" + top: "conv_4c_1x1" + convolution_param { + num_output: 160 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4c_1x1" + type: "BatchNorm" + bottom: "conv_4c_1x1" + top: "conv_4c_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_1x1" + bottom: "conv_4c_1x1" + top: "conv_4c_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_1x1" + type: "ReLU" + bottom: "conv_4c_1x1" + top: "conv_4c_1x1" +} + +layer { + name: "conv_4c_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4b_chconcat" + top: "conv_4c_3x3_reduce" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4c_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4c_3x3_reduce" + top: "conv_4c_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_3x3_reduce" + bottom: "conv_4c_3x3_reduce" + top: "conv_4c_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_3x3_reduce" + type: "ReLU" + bottom: "conv_4c_3x3_reduce" + top: "conv_4c_3x3_reduce" +} + +layer { + name: "conv_4c_3x3" + type: "Convolution" + bottom: "conv_4c_3x3_reduce" + top: "conv_4c_3x3" + convolution_param { + num_output: 160 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4c_3x3" + type: "BatchNorm" + bottom: "conv_4c_3x3" + top: "conv_4c_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_3x3" + bottom: "conv_4c_3x3" + top: "conv_4c_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_3x3" + type: "ReLU" + bottom: "conv_4c_3x3" + top: "conv_4c_3x3" +} + +layer { + name: "conv_4c_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4b_chconcat" + top: "conv_4c_double_3x3_reduce" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4c_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4c_double_3x3_reduce" + top: "conv_4c_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_double_3x3_reduce" + bottom: "conv_4c_double_3x3_reduce" + top: "conv_4c_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_double_3x3_reduce" + type: "ReLU" + bottom: "conv_4c_double_3x3_reduce" + top: "conv_4c_double_3x3_reduce" +} + +layer { + name: "conv_4c_double_3x3_0" + type: "Convolution" + bottom: "conv_4c_double_3x3_reduce" + top: "conv_4c_double_3x3_0" + convolution_param { + num_output: 160 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4c_double_3x3_0" + type: "BatchNorm" + bottom: "conv_4c_double_3x3_0" + top: "conv_4c_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_double_3x3_0" + bottom: "conv_4c_double_3x3_0" + top: "conv_4c_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_double_3x3_0" + type: "ReLU" + bottom: "conv_4c_double_3x3_0" + top: "conv_4c_double_3x3_0" +} + +layer { + name: "conv_4c_double_3x3_1" + type: "Convolution" + bottom: "conv_4c_double_3x3_0" + top: "conv_4c_double_3x3_1" + convolution_param { + num_output: 160 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4c_double_3x3_1" + type: "BatchNorm" + bottom: "conv_4c_double_3x3_1" + top: "conv_4c_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_double_3x3_1" + bottom: "conv_4c_double_3x3_1" + top: "conv_4c_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_double_3x3_1" + type: "ReLU" + bottom: "conv_4c_double_3x3_1" + top: "conv_4c_double_3x3_1" +} + +layer { + name: "ave_pool_4c_pool" + type: "Pooling" + bottom: "ch_concat_4b_chconcat" + top: "ave_pool_4c_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_4c_proj" + type: "Convolution" + bottom: "ave_pool_4c_pool" + top: "conv_4c_proj" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4c_proj" + type: "BatchNorm" + bottom: "conv_4c_proj" + top: "conv_4c_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4c_proj" + bottom: "conv_4c_proj" + top: "conv_4c_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4c_proj" + type: "ReLU" + bottom: "conv_4c_proj" + top: "conv_4c_proj" +} + +layer { + name: "ch_concat_4c_chconcat" + type: "Concat" + bottom: "conv_4c_1x1" + bottom: "conv_4c_3x3" + bottom: "conv_4c_double_3x3_1" + bottom: "conv_4c_proj" + top: "ch_concat_4c_chconcat" +} + +layer { + name: "conv_4d_1x1" + type: "Convolution" + bottom: "ch_concat_4c_chconcat" + top: "conv_4d_1x1" + convolution_param { + num_output: 96 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4d_1x1" + type: "BatchNorm" + bottom: "conv_4d_1x1" + top: "conv_4d_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_1x1" + bottom: "conv_4d_1x1" + top: "conv_4d_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_1x1" + type: "ReLU" + bottom: "conv_4d_1x1" + top: "conv_4d_1x1" +} + +layer { + name: "conv_4d_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4c_chconcat" + top: "conv_4d_3x3_reduce" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4d_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4d_3x3_reduce" + top: "conv_4d_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_3x3_reduce" + bottom: "conv_4d_3x3_reduce" + top: "conv_4d_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_3x3_reduce" + type: "ReLU" + bottom: "conv_4d_3x3_reduce" + top: "conv_4d_3x3_reduce" +} + +layer { + name: "conv_4d_3x3" + type: "Convolution" + bottom: "conv_4d_3x3_reduce" + top: "conv_4d_3x3" + convolution_param { + num_output: 192 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4d_3x3" + type: "BatchNorm" + bottom: "conv_4d_3x3" + top: "conv_4d_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_3x3" + bottom: "conv_4d_3x3" + top: "conv_4d_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_3x3" + type: "ReLU" + bottom: "conv_4d_3x3" + top: "conv_4d_3x3" +} + +layer { + name: "conv_4d_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4c_chconcat" + top: "conv_4d_double_3x3_reduce" + convolution_param { + num_output: 160 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4d_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4d_double_3x3_reduce" + top: "conv_4d_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_double_3x3_reduce" + bottom: "conv_4d_double_3x3_reduce" + top: "conv_4d_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_double_3x3_reduce" + type: "ReLU" + bottom: "conv_4d_double_3x3_reduce" + top: "conv_4d_double_3x3_reduce" +} + +layer { + name: "conv_4d_double_3x3_0" + type: "Convolution" + bottom: "conv_4d_double_3x3_reduce" + top: "conv_4d_double_3x3_0" + convolution_param { + num_output: 96 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4d_double_3x3_0" + type: "BatchNorm" + bottom: "conv_4d_double_3x3_0" + top: "conv_4d_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_double_3x3_0" + bottom: "conv_4d_double_3x3_0" + top: "conv_4d_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_double_3x3_0" + type: "ReLU" + bottom: "conv_4d_double_3x3_0" + top: "conv_4d_double_3x3_0" +} + +layer { + name: "conv_4d_double_3x3_1" + type: "Convolution" + bottom: "conv_4d_double_3x3_0" + top: "conv_4d_double_3x3_1" + convolution_param { + num_output: 96 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4d_double_3x3_1" + type: "BatchNorm" + bottom: "conv_4d_double_3x3_1" + top: "conv_4d_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_double_3x3_1" + bottom: "conv_4d_double_3x3_1" + top: "conv_4d_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_double_3x3_1" + type: "ReLU" + bottom: "conv_4d_double_3x3_1" + top: "conv_4d_double_3x3_1" +} + +layer { + name: "ave_pool_4d_pool" + type: "Pooling" + bottom: "ch_concat_4c_chconcat" + top: "ave_pool_4d_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_4d_proj" + type: "Convolution" + bottom: "ave_pool_4d_pool" + top: "conv_4d_proj" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4d_proj" + type: "BatchNorm" + bottom: "conv_4d_proj" + top: "conv_4d_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4d_proj" + bottom: "conv_4d_proj" + top: "conv_4d_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4d_proj" + type: "ReLU" + bottom: "conv_4d_proj" + top: "conv_4d_proj" +} + +layer { + name: "ch_concat_4d_chconcat" + type: "Concat" + bottom: "conv_4d_1x1" + bottom: "conv_4d_3x3" + bottom: "conv_4d_double_3x3_1" + bottom: "conv_4d_proj" + top: "ch_concat_4d_chconcat" +} + +layer { + name: "conv_4e_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4d_chconcat" + top: "conv_4e_3x3_reduce" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4e_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4e_3x3_reduce" + top: "conv_4e_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4e_3x3_reduce" + bottom: "conv_4e_3x3_reduce" + top: "conv_4e_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4e_3x3_reduce" + type: "ReLU" + bottom: "conv_4e_3x3_reduce" + top: "conv_4e_3x3_reduce" +} + +layer { + name: "conv_4e_3x3" + type: "Convolution" + bottom: "conv_4e_3x3_reduce" + top: "conv_4e_3x3" + convolution_param { + num_output: 192 + kernel_size: 3 + stride: 2 + pad: 1 + } +} + +layer { + name: "bn_4e_3x3" + type: "BatchNorm" + bottom: "conv_4e_3x3" + top: "conv_4e_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4e_3x3" + bottom: "conv_4e_3x3" + top: "conv_4e_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4e_3x3" + type: "ReLU" + bottom: "conv_4e_3x3" + top: "conv_4e_3x3" +} + +layer { + name: "conv_4e_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4d_chconcat" + top: "conv_4e_double_3x3_reduce" + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_4e_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_4e_double_3x3_reduce" + top: "conv_4e_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4e_double_3x3_reduce" + bottom: "conv_4e_double_3x3_reduce" + top: "conv_4e_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4e_double_3x3_reduce" + type: "ReLU" + bottom: "conv_4e_double_3x3_reduce" + top: "conv_4e_double_3x3_reduce" +} + +layer { + name: "conv_4e_double_3x3_0" + type: "Convolution" + bottom: "conv_4e_double_3x3_reduce" + top: "conv_4e_double_3x3_0" + convolution_param { + num_output: 256 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_4e_double_3x3_0" + type: "BatchNorm" + bottom: "conv_4e_double_3x3_0" + top: "conv_4e_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4e_double_3x3_0" + bottom: "conv_4e_double_3x3_0" + top: "conv_4e_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4e_double_3x3_0" + type: "ReLU" + bottom: "conv_4e_double_3x3_0" + top: "conv_4e_double_3x3_0" +} + +layer { + name: "conv_4e_double_3x3_1" + type: "Convolution" + bottom: "conv_4e_double_3x3_0" + top: "conv_4e_double_3x3_1" + convolution_param { + num_output: 256 + kernel_size: 3 + stride: 2 + pad: 1 + } +} + +layer { + name: "bn_4e_double_3x3_1" + type: "BatchNorm" + bottom: "conv_4e_double_3x3_1" + top: "conv_4e_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_4e_double_3x3_1" + bottom: "conv_4e_double_3x3_1" + top: "conv_4e_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_4e_double_3x3_1" + type: "ReLU" + bottom: "conv_4e_double_3x3_1" + top: "conv_4e_double_3x3_1" +} + +layer { + name: "max_pool_4e_pool" + type: "Pooling" + bottom: "ch_concat_4d_chconcat" + top: "max_pool_4e_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + pad: 0 + } +} + +layer { + name: "ch_concat_4e_chconcat" + type: "Concat" + bottom: "conv_4e_3x3" + bottom: "conv_4e_double_3x3_1" + bottom: "max_pool_4e_pool" + top: "ch_concat_4e_chconcat" +} + +layer { + name: "conv_5a_1x1" + type: "Convolution" + bottom: "ch_concat_4e_chconcat" + top: "conv_5a_1x1" + convolution_param { + num_output: 352 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5a_1x1" + type: "BatchNorm" + bottom: "conv_5a_1x1" + top: "conv_5a_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_1x1" + bottom: "conv_5a_1x1" + top: "conv_5a_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_1x1" + type: "ReLU" + bottom: "conv_5a_1x1" + top: "conv_5a_1x1" +} + +layer { + name: "conv_5a_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4e_chconcat" + top: "conv_5a_3x3_reduce" + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5a_3x3_reduce" + type: "BatchNorm" + bottom: "conv_5a_3x3_reduce" + top: "conv_5a_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_3x3_reduce" + bottom: "conv_5a_3x3_reduce" + top: "conv_5a_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_3x3_reduce" + type: "ReLU" + bottom: "conv_5a_3x3_reduce" + top: "conv_5a_3x3_reduce" +} + +layer { + name: "conv_5a_3x3" + type: "Convolution" + bottom: "conv_5a_3x3_reduce" + top: "conv_5a_3x3" + convolution_param { + num_output: 320 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_5a_3x3" + type: "BatchNorm" + bottom: "conv_5a_3x3" + top: "conv_5a_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_3x3" + bottom: "conv_5a_3x3" + top: "conv_5a_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_3x3" + type: "ReLU" + bottom: "conv_5a_3x3" + top: "conv_5a_3x3" +} + +layer { + name: "conv_5a_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_4e_chconcat" + top: "conv_5a_double_3x3_reduce" + convolution_param { + num_output: 160 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5a_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_5a_double_3x3_reduce" + top: "conv_5a_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_double_3x3_reduce" + bottom: "conv_5a_double_3x3_reduce" + top: "conv_5a_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_double_3x3_reduce" + type: "ReLU" + bottom: "conv_5a_double_3x3_reduce" + top: "conv_5a_double_3x3_reduce" +} + +layer { + name: "conv_5a_double_3x3_0" + type: "Convolution" + bottom: "conv_5a_double_3x3_reduce" + top: "conv_5a_double_3x3_0" + convolution_param { + num_output: 224 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_5a_double_3x3_0" + type: "BatchNorm" + bottom: "conv_5a_double_3x3_0" + top: "conv_5a_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_double_3x3_0" + bottom: "conv_5a_double_3x3_0" + top: "conv_5a_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_double_3x3_0" + type: "ReLU" + bottom: "conv_5a_double_3x3_0" + top: "conv_5a_double_3x3_0" +} + +layer { + name: "conv_5a_double_3x3_1" + type: "Convolution" + bottom: "conv_5a_double_3x3_0" + top: "conv_5a_double_3x3_1" + convolution_param { + num_output: 224 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_5a_double_3x3_1" + type: "BatchNorm" + bottom: "conv_5a_double_3x3_1" + top: "conv_5a_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_double_3x3_1" + bottom: "conv_5a_double_3x3_1" + top: "conv_5a_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_double_3x3_1" + type: "ReLU" + bottom: "conv_5a_double_3x3_1" + top: "conv_5a_double_3x3_1" +} + +layer { + name: "ave_pool_5a_pool" + type: "Pooling" + bottom: "ch_concat_4e_chconcat" + top: "ave_pool_5a_pool" + pooling_param { + pool: AVE + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_5a_proj" + type: "Convolution" + bottom: "ave_pool_5a_pool" + top: "conv_5a_proj" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5a_proj" + type: "BatchNorm" + bottom: "conv_5a_proj" + top: "conv_5a_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5a_proj" + bottom: "conv_5a_proj" + top: "conv_5a_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5a_proj" + type: "ReLU" + bottom: "conv_5a_proj" + top: "conv_5a_proj" +} + +layer { + name: "ch_concat_5a_chconcat" + type: "Concat" + bottom: "conv_5a_1x1" + bottom: "conv_5a_3x3" + bottom: "conv_5a_double_3x3_1" + bottom: "conv_5a_proj" + top: "ch_concat_5a_chconcat" +} + +layer { + name: "conv_5b_1x1" + type: "Convolution" + bottom: "ch_concat_5a_chconcat" + top: "conv_5b_1x1" + convolution_param { + num_output: 352 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5b_1x1" + type: "BatchNorm" + bottom: "conv_5b_1x1" + top: "conv_5b_1x1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_1x1" + bottom: "conv_5b_1x1" + top: "conv_5b_1x1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_1x1" + type: "ReLU" + bottom: "conv_5b_1x1" + top: "conv_5b_1x1" +} + +layer { + name: "conv_5b_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_5a_chconcat" + top: "conv_5b_3x3_reduce" + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5b_3x3_reduce" + type: "BatchNorm" + bottom: "conv_5b_3x3_reduce" + top: "conv_5b_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_3x3_reduce" + bottom: "conv_5b_3x3_reduce" + top: "conv_5b_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_3x3_reduce" + type: "ReLU" + bottom: "conv_5b_3x3_reduce" + top: "conv_5b_3x3_reduce" +} + +layer { + name: "conv_5b_3x3" + type: "Convolution" + bottom: "conv_5b_3x3_reduce" + top: "conv_5b_3x3" + convolution_param { + num_output: 320 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_5b_3x3" + type: "BatchNorm" + bottom: "conv_5b_3x3" + top: "conv_5b_3x3" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_3x3" + bottom: "conv_5b_3x3" + top: "conv_5b_3x3" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_3x3" + type: "ReLU" + bottom: "conv_5b_3x3" + top: "conv_5b_3x3" +} + +layer { + name: "conv_5b_double_3x3_reduce" + type: "Convolution" + bottom: "ch_concat_5a_chconcat" + top: "conv_5b_double_3x3_reduce" + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5b_double_3x3_reduce" + type: "BatchNorm" + bottom: "conv_5b_double_3x3_reduce" + top: "conv_5b_double_3x3_reduce" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_double_3x3_reduce" + bottom: "conv_5b_double_3x3_reduce" + top: "conv_5b_double_3x3_reduce" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_double_3x3_reduce" + type: "ReLU" + bottom: "conv_5b_double_3x3_reduce" + top: "conv_5b_double_3x3_reduce" +} + +layer { + name: "conv_5b_double_3x3_0" + type: "Convolution" + bottom: "conv_5b_double_3x3_reduce" + top: "conv_5b_double_3x3_0" + convolution_param { + num_output: 224 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_5b_double_3x3_0" + type: "BatchNorm" + bottom: "conv_5b_double_3x3_0" + top: "conv_5b_double_3x3_0" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_double_3x3_0" + bottom: "conv_5b_double_3x3_0" + top: "conv_5b_double_3x3_0" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_double_3x3_0" + type: "ReLU" + bottom: "conv_5b_double_3x3_0" + top: "conv_5b_double_3x3_0" +} + +layer { + name: "conv_5b_double_3x3_1" + type: "Convolution" + bottom: "conv_5b_double_3x3_0" + top: "conv_5b_double_3x3_1" + convolution_param { + num_output: 224 + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "bn_5b_double_3x3_1" + type: "BatchNorm" + bottom: "conv_5b_double_3x3_1" + top: "conv_5b_double_3x3_1" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_double_3x3_1" + bottom: "conv_5b_double_3x3_1" + top: "conv_5b_double_3x3_1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_double_3x3_1" + type: "ReLU" + bottom: "conv_5b_double_3x3_1" + top: "conv_5b_double_3x3_1" +} + +layer { + name: "max_pool_5b_pool" + type: "Pooling" + bottom: "ch_concat_5a_chconcat" + top: "max_pool_5b_pool" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 1 + pad: 1 + } +} + +layer { + name: "conv_5b_proj" + type: "Convolution" + bottom: "max_pool_5b_pool" + top: "conv_5b_proj" + convolution_param { + num_output: 128 + kernel_size: 1 + stride: 1 + pad: 0 + } +} + +layer { + name: "bn_5b_proj" + type: "BatchNorm" + bottom: "conv_5b_proj" + top: "conv_5b_proj" + batch_norm_param { + use_global_stats: true + } +} + +layer { + name: "scale_conv_5b_proj" + bottom: "conv_5b_proj" + top: "conv_5b_proj" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + name: "relu_5b_proj" + type: "ReLU" + bottom: "conv_5b_proj" + top: "conv_5b_proj" +} + +layer { + name: "ch_concat_5b_chconcat" + type: "Concat" + bottom: "conv_5b_1x1" + bottom: "conv_5b_3x3" + bottom: "conv_5b_double_3x3_1" + bottom: "conv_5b_proj" + top: "ch_concat_5b_chconcat" +} + +layer { + name: "global_pool" + type: "Pooling" + bottom: "ch_concat_5b_chconcat" + top: "global_pool" + pooling_param { + global_pooling : true + pool: AVE + } +} + +layer { + name: "fc1" + type: "InnerProduct" + bottom: "global_pool" + top: "fc1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 21841 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} + +layer { + name: "softmax" + type: "Softmax" + bottom: "fc1" + top: "softmax" +} + diff --git a/24-07/caffe/deploy/40-AlexNet_cvgj.prototxt b/24-07/caffe/deploy/40-AlexNet_cvgj.prototxt new file mode 100644 index 0000000..9fc94a7 --- /dev/null +++ b/24-07/caffe/deploy/40-AlexNet_cvgj.prototxt @@ -0,0 +1,486 @@ +name: "AlexNet" +input: "data" +layer { + name: "input" + type: "Input" + top: "data" + input_param { + shape { + dim: 10 + dim: 3 + dim: 227 + dim: 227 + } + } +}layer { + name: "data/bn" + type: "BatchNorm" + bottom: "data" + top: "data/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "data/scale" + type: "Scale" + bottom: "data/bn" + top: "data/scale" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + scale_param { + bias_term: true + } +} +layer { + name: "conv1" + type: "Convolution" + bottom: "data/scale" + top: "conv1" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 96 + kernel_size: 11 + stride: 4 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "conv1/bn" + type: "BatchNorm" + bottom: "conv1" + top: "conv1/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu1" + type: "ReLU" + bottom: "conv1/bn" + top: "norm1" +} +layer { + name: "pool1" + type: "Pooling" + bottom: "norm1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "conv2" + type: "Convolution" + bottom: "pool1" + top: "conv2" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + group: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "conv2/bn" + type: "BatchNorm" + bottom: "conv2" + top: "conv2/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu2" + type: "ReLU" + bottom: "conv2/bn" + top: "norm2" +} +layer { + name: "pool2" + type: "Pooling" + bottom: "norm2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "conv3" + type: "Convolution" + bottom: "pool2" + top: "conv3" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "conv3/bn" + type: "BatchNorm" + bottom: "conv3" + top: "conv3/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu3" + type: "ReLU" + bottom: "conv3/bn" + top: "conv3/bn" +} +layer { + name: "conv4" + type: "Convolution" + bottom: "conv3/bn" + top: "conv4" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "conv4/bn" + type: "BatchNorm" + bottom: "conv4" + top: "conv4/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu4" + type: "ReLU" + bottom: "conv4/bn" + top: "conv4/bn" +} +layer { + name: "conv5" + type: "Convolution" + bottom: "conv4/bn" + top: "conv5" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "conv5/bn" + type: "BatchNorm" + bottom: "conv5" + top: "conv5/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu5" + type: "ReLU" + bottom: "conv5/bn" + top: "conv5/bn" +} +layer { + name: "pool5" + type: "Pooling" + bottom: "conv5/bn" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layer { + name: "fc6" + type: "InnerProduct" + bottom: "pool5" + top: "fc6" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 4096 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "fc6/bn" + type: "BatchNorm" + bottom: "fc6" + top: "fc6/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu6" + type: "ReLU" + bottom: "fc6/bn" + top: "fc6/bn" +} +layer { + name: "fc7" + type: "InnerProduct" + bottom: "fc6/bn" + top: "fc7" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 4096 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "fc7/bn" + type: "BatchNorm" + bottom: "fc7" + top: "fc7/bn" + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + param { + lr_mult: 0 + decay_mult: 0 + } + batch_norm_param { + moving_average_fraction: 0.9 + } +} +layer { + name: "relu7" + type: "ReLU" + bottom: "fc7/bn" + top: "fc7/bn" +} +layer { + name: "fc8" + type: "InnerProduct" + bottom: "fc7/bn" + top: "fc8" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + inner_product_param { + num_output: 1000 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} + +layer { + name: "softmax" + type: "Softmax" + bottom: "fc8" + top: "prob" +} diff --git a/24-07/caffe/deploy/41-VGG19_cvgj.prototxt b/24-07/caffe/deploy/41-VGG19_cvgj.prototxt new file mode 100644 index 0000000..9fc1fa7 --- /dev/null +++ b/24-07/caffe/deploy/41-VGG19_cvgj.prototxt @@ -0,0 +1,567 @@ +name: "CaffeNet" +layer { + name: "data" + type: "Input" + top: "data" + input_param { + shape { + dim: 1 + dim: 3 + dim: 224 + dim: 224 + } + } +} +layer { + name: "data/bn" + type: "BatchNorm" + bottom: "data" + top: "data/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "data/scale" + type: "Scale" + bottom: "data/bn" + top: "data/scale" + scale_param { + bias_term: true + } +} +layer { + name: "conv1_1" + type: "Convolution" + bottom: "data/scale" + top: "conv1_1" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv1_1/bn" + type: "BatchNorm" + bottom: "conv1_1" + top: "conv1_1/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu1_1" + type: "ReLU" + bottom: "conv1_1/bn" + top: "conv1_1/bn" +} +layer { + name: "conv1_2" + type: "Convolution" + bottom: "conv1_1/bn" + top: "conv1_2" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv1_2/bn" + type: "BatchNorm" + bottom: "conv1_2" + top: "conv1_2/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu1_2" + type: "ReLU" + bottom: "conv1_2/bn" + top: "conv1_2/bn" +} +layer { + name: "pool1" + type: "Pooling" + bottom: "conv1_2/bn" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv2_1" + type: "Convolution" + bottom: "pool1" + top: "conv2_1" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv2_1/bn" + type: "BatchNorm" + bottom: "conv2_1" + top: "conv2_1/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu2_1" + type: "ReLU" + bottom: "conv2_1/bn" + top: "conv2_1/bn" +} +layer { + name: "conv2_2" + type: "Convolution" + bottom: "conv2_1/bn" + top: "conv2_2" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv2_2/bn" + type: "BatchNorm" + bottom: "conv2_2" + top: "conv2_2/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu2_2" + type: "ReLU" + bottom: "conv2_2/bn" + top: "conv2_2/bn" +} +layer { + name: "pool2" + type: "Pooling" + bottom: "conv2_2/bn" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv3_1" + type: "Convolution" + bottom: "pool2" + top: "conv3_1" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv3_1/bn" + type: "BatchNorm" + bottom: "conv3_1" + top: "conv3_1/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu3_1" + type: "ReLU" + bottom: "conv3_1/bn" + top: "conv3_1/bn" +} +layer { + name: "conv3_2" + type: "Convolution" + bottom: "conv3_1/bn" + top: "conv3_2" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv3_2/bn" + type: "BatchNorm" + bottom: "conv3_2" + top: "conv3_2/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu3_2" + type: "ReLU" + bottom: "conv3_2/bn" + top: "conv3_2/bn" +} +layer { + name: "conv3_3" + type: "Convolution" + bottom: "conv3_2/bn" + top: "conv3_3" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv3_3/bn" + type: "BatchNorm" + bottom: "conv3_3" + top: "conv3_3/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu3_3" + type: "ReLU" + bottom: "conv3_3/bn" + top: "conv3_3/bn" +} +layer { + name: "conv3_4" + type: "Convolution" + bottom: "conv3_3/bn" + top: "conv3_4" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv3_4/bn" + type: "BatchNorm" + bottom: "conv3_4" + top: "conv3_4/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu3_4" + type: "ReLU" + bottom: "conv3_4/bn" + top: "conv3_4/bn" +} +layer { + name: "pool3" + type: "Pooling" + bottom: "conv3_4/bn" + top: "pool3" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv4_1" + type: "Convolution" + bottom: "pool3" + top: "conv4_1" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv4_1/bn" + type: "BatchNorm" + bottom: "conv4_1" + top: "conv4_1/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu4_1" + type: "ReLU" + bottom: "conv4_1/bn" + top: "conv4_1/bn" +} +layer { + name: "conv4_2" + type: "Convolution" + bottom: "conv4_1/bn" + top: "conv4_2" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv4_2/bn" + type: "BatchNorm" + bottom: "conv4_2" + top: "conv4_2/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu4_2" + type: "ReLU" + bottom: "conv4_2/bn" + top: "conv4_2/bn" +} +layer { + name: "conv4_3" + type: "Convolution" + bottom: "conv4_2/bn" + top: "conv4_3" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv4_3/bn" + type: "BatchNorm" + bottom: "conv4_3" + top: "conv4_3/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu4_3" + type: "ReLU" + bottom: "conv4_3/bn" + top: "conv4_3/bn" +} +layer { + name: "conv4_4" + type: "Convolution" + bottom: "conv4_3/bn" + top: "conv4_4" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv4_4/bn" + type: "BatchNorm" + bottom: "conv4_4" + top: "conv4_4/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu4_4" + type: "ReLU" + bottom: "conv4_4/bn" + top: "conv4_4/bn" +} +layer { + name: "pool4" + type: "Pooling" + bottom: "conv4_4/bn" + top: "pool4" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv5_1" + type: "Convolution" + bottom: "pool4" + top: "conv5_1" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv5_1/bn" + type: "BatchNorm" + bottom: "conv5_1" + top: "conv5_1/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu5_1" + type: "ReLU" + bottom: "conv5_1/bn" + top: "conv5_1/bn" +} +layer { + name: "conv5_2" + type: "Convolution" + bottom: "conv5_1/bn" + top: "conv5_2" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv5_2/bn" + type: "BatchNorm" + bottom: "conv5_2" + top: "conv5_2/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu5_2" + type: "ReLU" + bottom: "conv5_2/bn" + top: "conv5_2/bn" +} +layer { + name: "conv5_3" + type: "Convolution" + bottom: "conv5_2/bn" + top: "conv5_3" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv5_3/bn" + type: "BatchNorm" + bottom: "conv5_3" + top: "conv5_3/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu5_3" + type: "ReLU" + bottom: "conv5_3/bn" + top: "conv5_3/bn" +} +layer { + name: "conv5_4" + type: "Convolution" + bottom: "conv5_3/bn" + top: "conv5_4" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + name: "conv5_4/bn" + type: "BatchNorm" + bottom: "conv5_4" + top: "conv5_4/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu5_4" + type: "ReLU" + bottom: "conv5_4/bn" + top: "conv5_4/bn" +} +layer { + name: "pool5" + type: "Pooling" + bottom: "conv5_4/bn" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "fc6" + type: "InnerProduct" + bottom: "pool5" + top: "fc6" + inner_product_param { + num_output: 4096 + } +} +layer { + name: "fc6/bn" + type: "BatchNorm" + bottom: "fc6" + top: "fc6/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu6" + type: "ReLU" + bottom: "fc6/bn" + top: "fc6/bn" +} +layer { + name: "fc7" + type: "InnerProduct" + bottom: "fc6/bn" + top: "fc7" + inner_product_param { + num_output: 4096 + } +} +layer { + name: "fc7/bn" + type: "BatchNorm" + bottom: "fc7" + top: "fc7/bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "relu7" + type: "ReLU" + bottom: "fc7/bn" + top: "fc7/bn" +} +layer { + name: "fc8" + type: "InnerProduct" + bottom: "fc7/bn" + top: "fc8" + inner_product_param { + num_output: 1000 + } +} +layer { + name: "prob" + type: "Softmax" + bottom: "fc8" + top: "prob" +} + diff --git a/24-07/caffe/deploy/42-ResNet10_cvgj.prototxt b/24-07/caffe/deploy/42-ResNet10_cvgj.prototxt new file mode 100644 index 0000000..4b1aa9c --- /dev/null +++ b/24-07/caffe/deploy/42-ResNet10_cvgj.prototxt @@ -0,0 +1,752 @@ +name: "" +layer { + name: "data" + type: "Input" + top: "data" + input_param { + shape { + dim: 1 + dim: 3 + dim: 224 + dim: 224 + } + } +} +layer { + name: "data_bn" + type: "BatchNorm" + bottom: "data" + top: "data_bn" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "data_scale" + type: "Scale" + bottom: "data_bn" + top: "data_bn" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "conv1" + type: "Convolution" + bottom: "data_bn" + top: "conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + weight_filler { + type: "msra" + variance_norm: FAN_OUT + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "conv1_bn" + type: "BatchNorm" + bottom: "conv1" + top: "conv1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "conv1_scale" + type: "Scale" + bottom: "conv1" + top: "conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "conv1_relu" + type: "ReLU" + bottom: "conv1" + top: "conv1" +} +layer { + name: "conv1_pool" + type: "Pooling" + bottom: "conv1" + top: "conv1_pool" + pooling_param { + kernel_size: 3 + stride: 2 + } +} +layer { + name: "layer_64_1_conv1" + type: "Convolution" + bottom: "conv1_pool" + top: "layer_64_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 64 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_64_1_bn2" + type: "BatchNorm" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_64_1_scale2" + type: "Scale" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_1_relu2" + type: "ReLU" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv1" +} +layer { + name: "layer_64_1_conv2" + type: "Convolution" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv2" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 64 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_64_1_sum" + type: "Eltwise" + bottom: "layer_64_1_conv2" + bottom: "conv1_pool" + top: "layer_64_1_sum" +} +layer { + name: "layer_128_1_bn1" + type: "BatchNorm" + bottom: "layer_64_1_sum" + top: "layer_128_1_bn1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_128_1_scale1" + type: "Scale" + bottom: "layer_128_1_bn1" + top: "layer_128_1_bn1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_1_relu1" + type: "ReLU" + bottom: "layer_128_1_bn1" + top: "layer_128_1_bn1" +} +layer { + name: "layer_128_1_conv1" + type: "Convolution" + bottom: "layer_128_1_bn1" + top: "layer_128_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 128 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_128_1_bn2" + type: "BatchNorm" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_128_1_scale2" + type: "Scale" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_1_relu2" + type: "ReLU" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv1" +} +layer { + name: "layer_128_1_conv2" + type: "Convolution" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv2" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 128 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_128_1_conv_expand" + type: "Convolution" + bottom: "layer_128_1_bn1" + top: "layer_128_1_conv_expand" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 128 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_128_1_sum" + type: "Eltwise" + bottom: "layer_128_1_conv2" + bottom: "layer_128_1_conv_expand" + top: "layer_128_1_sum" +} +layer { + name: "layer_256_1_bn1" + type: "BatchNorm" + bottom: "layer_128_1_sum" + top: "layer_256_1_bn1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_256_1_scale1" + type: "Scale" + bottom: "layer_256_1_bn1" + top: "layer_256_1_bn1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_1_relu1" + type: "ReLU" + bottom: "layer_256_1_bn1" + top: "layer_256_1_bn1" +} +layer { + name: "layer_256_1_conv1" + type: "Convolution" + bottom: "layer_256_1_bn1" + top: "layer_256_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_256_1_bn2" + type: "BatchNorm" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_256_1_scale2" + type: "Scale" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_1_relu2" + type: "ReLU" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv1" +} +layer { + name: "layer_256_1_conv2" + type: "Convolution" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv2" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_256_1_conv_expand" + type: "Convolution" + bottom: "layer_256_1_bn1" + top: "layer_256_1_conv_expand" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_256_1_sum" + type: "Eltwise" + bottom: "layer_256_1_conv2" + bottom: "layer_256_1_conv_expand" + top: "layer_256_1_sum" +} +layer { + name: "layer_512_1_bn1" + type: "BatchNorm" + bottom: "layer_256_1_sum" + top: "layer_512_1_bn1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_512_1_scale1" + type: "Scale" + bottom: "layer_512_1_bn1" + top: "layer_512_1_bn1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_1_relu1" + type: "ReLU" + bottom: "layer_512_1_bn1" + top: "layer_512_1_bn1" +} +layer { + name: "layer_512_1_conv1" + type: "Convolution" + bottom: "layer_512_1_bn1" + top: "layer_512_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 512 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_512_1_bn2" + type: "BatchNorm" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv1" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "layer_512_1_scale2" + type: "Scale" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv1" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_1_relu2" + type: "ReLU" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv1" +} +layer { + name: "layer_512_1_conv2" + type: "Convolution" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv2" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 512 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_512_1_conv_expand" + type: "Convolution" + bottom: "layer_512_1_bn1" + top: "layer_512_1_conv_expand" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 2 + weight_filler { + type: "msra" + } + bias_filler { + type: "constant" + value: 0.0 + } + } +} +layer { + name: "layer_512_1_sum" + type: "Eltwise" + bottom: "layer_512_1_conv2" + bottom: "layer_512_1_conv_expand" + top: "layer_512_1_sum" +} +layer { + name: "last_bn" + type: "BatchNorm" + bottom: "layer_512_1_sum" + top: "layer_512_1_sum" + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } + param { + lr_mult: 0.0 + } +} +layer { + name: "last_scale" + type: "Scale" + bottom: "layer_512_1_sum" + top: "layer_512_1_sum" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + scale_param { + bias_term: true + } +} +layer { + name: "last_relu" + type: "ReLU" + bottom: "layer_512_1_sum" + top: "layer_512_1_sum" +} +layer { + name: "global_pool" + type: "Pooling" + bottom: "layer_512_1_sum" + top: "global_pool" + pooling_param { + pool: AVE + global_pooling: true + } +} +layer { + name: "score" + type: "InnerProduct" + bottom: "global_pool" + top: "score" + param { + lr_mult: 1.0 + decay_mult: 1.0 + } + param { + lr_mult: 2.0 + decay_mult: 1.0 + } + inner_product_param { + num_output: 1000 + } +} +layer { + name: "prob" + type: "Softmax" + bottom: "score" + top: "prob" +} + diff --git a/24-07/caffe/deploy/43-ResNet50_cvgj.prototxt b/24-07/caffe/deploy/43-ResNet50_cvgj.prototxt new file mode 100644 index 0000000..8853e1d --- /dev/null +++ b/24-07/caffe/deploy/43-ResNet50_cvgj.prototxt @@ -0,0 +1,2044 @@ +name: "" +layer { + name: "data" + type: "Input" + top: "data" + input_param { + shape { + dim: 1 + dim: 3 + dim: 224 + dim: 224 + } + } +} +layer { + name: "data_bn" + type: "BatchNorm" + bottom: "data" + top: "data_bn" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "data_scale" + type: "Scale" + bottom: "data_bn" + top: "data_bn" + scale_param { + bias_term: true + } +} +layer { + name: "conv1" + type: "Convolution" + bottom: "data_bn" + top: "conv1" + convolution_param { + num_output: 64 + pad: 3 + kernel_size: 7 + stride: 2 + } +} +layer { + name: "conv1_bn" + type: "BatchNorm" + bottom: "conv1" + top: "conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "conv1_scale" + type: "Scale" + bottom: "conv1" + top: "conv1" + scale_param { + bias_term: true + } +} +layer { + name: "conv1_relu" + type: "ReLU" + bottom: "conv1" + top: "conv1" +} +layer { + name: "conv1_pool" + type: "Pooling" + bottom: "conv1" + top: "conv1_pool" + pooling_param { + kernel_size: 3 + stride: 2 + } +} +layer { + name: "layer_64_1_conv1" + type: "Convolution" + bottom: "conv1_pool" + top: "layer_64_1_conv1" + convolution_param { + num_output: 64 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_1_bn2" + type: "BatchNorm" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_1_scale2" + type: "Scale" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_1_relu2" + type: "ReLU" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv1" +} +layer { + name: "layer_64_1_conv2" + type: "Convolution" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv2" + convolution_param { + num_output: 64 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_64_1_bn3" + type: "BatchNorm" + bottom: "layer_64_1_conv2" + top: "layer_64_1_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_1_scale3" + type: "Scale" + bottom: "layer_64_1_conv2" + top: "layer_64_1_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_1_relu3" + type: "ReLU" + bottom: "layer_64_1_conv2" + top: "layer_64_1_conv2" +} +layer { + name: "layer_64_1_conv3" + type: "Convolution" + bottom: "layer_64_1_conv2" + top: "layer_64_1_conv3" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_1_conv_expand" + type: "Convolution" + bottom: "layer_64_1_conv1" + top: "layer_64_1_conv_expand" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_1_sum" + type: "Eltwise" + bottom: "layer_64_1_conv3" + bottom: "layer_64_1_conv_expand" + top: "layer_64_1_sum" +} +layer { + name: "layer_64_2_bn1" + type: "BatchNorm" + bottom: "layer_64_1_sum" + top: "layer_64_2_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_2_scale1" + type: "Scale" + bottom: "layer_64_2_bn1" + top: "layer_64_2_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_2_relu1" + type: "ReLU" + bottom: "layer_64_2_bn1" + top: "layer_64_2_bn1" +} +layer { + name: "layer_64_2_conv1" + type: "Convolution" + bottom: "layer_64_2_bn1" + top: "layer_64_2_conv1" + convolution_param { + num_output: 64 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_2_bn2" + type: "BatchNorm" + bottom: "layer_64_2_conv1" + top: "layer_64_2_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_2_scale2" + type: "Scale" + bottom: "layer_64_2_conv1" + top: "layer_64_2_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_2_relu2" + type: "ReLU" + bottom: "layer_64_2_conv1" + top: "layer_64_2_conv1" +} +layer { + name: "layer_64_2_conv2" + type: "Convolution" + bottom: "layer_64_2_conv1" + top: "layer_64_2_conv2" + convolution_param { + num_output: 64 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_64_2_bn3" + type: "BatchNorm" + bottom: "layer_64_2_conv2" + top: "layer_64_2_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_2_scale3" + type: "Scale" + bottom: "layer_64_2_conv2" + top: "layer_64_2_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_2_relu3" + type: "ReLU" + bottom: "layer_64_2_conv2" + top: "layer_64_2_conv2" +} +layer { + name: "layer_64_2_conv3" + type: "Convolution" + bottom: "layer_64_2_conv2" + top: "layer_64_2_conv3" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_2_sum" + type: "Eltwise" + bottom: "layer_64_2_conv3" + bottom: "layer_64_1_sum" + top: "layer_64_2_sum" +} +layer { + name: "layer_64_3_bn1" + type: "BatchNorm" + bottom: "layer_64_2_sum" + top: "layer_64_3_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_3_scale1" + type: "Scale" + bottom: "layer_64_3_bn1" + top: "layer_64_3_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_3_relu1" + type: "ReLU" + bottom: "layer_64_3_bn1" + top: "layer_64_3_bn1" +} +layer { + name: "layer_64_3_conv1" + type: "Convolution" + bottom: "layer_64_3_bn1" + top: "layer_64_3_conv1" + convolution_param { + num_output: 64 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_3_bn2" + type: "BatchNorm" + bottom: "layer_64_3_conv1" + top: "layer_64_3_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_3_scale2" + type: "Scale" + bottom: "layer_64_3_conv1" + top: "layer_64_3_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_3_relu2" + type: "ReLU" + bottom: "layer_64_3_conv1" + top: "layer_64_3_conv1" +} +layer { + name: "layer_64_3_conv2" + type: "Convolution" + bottom: "layer_64_3_conv1" + top: "layer_64_3_conv2" + convolution_param { + num_output: 64 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_64_3_bn3" + type: "BatchNorm" + bottom: "layer_64_3_conv2" + top: "layer_64_3_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_64_3_scale3" + type: "Scale" + bottom: "layer_64_3_conv2" + top: "layer_64_3_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_64_3_relu3" + type: "ReLU" + bottom: "layer_64_3_conv2" + top: "layer_64_3_conv2" +} +layer { + name: "layer_64_3_conv3" + type: "Convolution" + bottom: "layer_64_3_conv2" + top: "layer_64_3_conv3" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_64_3_sum" + type: "Eltwise" + bottom: "layer_64_3_conv3" + bottom: "layer_64_2_sum" + top: "layer_64_3_sum" +} +layer { + name: "layer_128_1_bn1" + type: "BatchNorm" + bottom: "layer_64_3_sum" + top: "layer_128_1_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_1_scale1" + type: "Scale" + bottom: "layer_128_1_bn1" + top: "layer_128_1_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_1_relu1" + type: "ReLU" + bottom: "layer_128_1_bn1" + top: "layer_128_1_bn1" +} +layer { + name: "layer_128_1_conv1" + type: "Convolution" + bottom: "layer_128_1_bn1" + top: "layer_128_1_conv1" + convolution_param { + num_output: 128 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_1_bn2" + type: "BatchNorm" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_1_scale2" + type: "Scale" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_1_relu2" + type: "ReLU" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv1" +} +layer { + name: "layer_128_1_conv2" + type: "Convolution" + bottom: "layer_128_1_conv1" + top: "layer_128_1_conv2" + convolution_param { + num_output: 128 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 2 + } +} +layer { + name: "layer_128_1_bn3" + type: "BatchNorm" + bottom: "layer_128_1_conv2" + top: "layer_128_1_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_1_scale3" + type: "Scale" + bottom: "layer_128_1_conv2" + top: "layer_128_1_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_1_relu3" + type: "ReLU" + bottom: "layer_128_1_conv2" + top: "layer_128_1_conv2" +} +layer { + name: "layer_128_1_conv3" + type: "Convolution" + bottom: "layer_128_1_conv2" + top: "layer_128_1_conv3" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_1_conv_expand" + type: "Convolution" + bottom: "layer_128_1_bn1" + top: "layer_128_1_conv_expand" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 2 + } +} +layer { + name: "layer_128_1_sum" + type: "Eltwise" + bottom: "layer_128_1_conv3" + bottom: "layer_128_1_conv_expand" + top: "layer_128_1_sum" +} +layer { + name: "layer_128_2_bn1" + type: "BatchNorm" + bottom: "layer_128_1_sum" + top: "layer_128_2_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_2_scale1" + type: "Scale" + bottom: "layer_128_2_bn1" + top: "layer_128_2_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_2_relu1" + type: "ReLU" + bottom: "layer_128_2_bn1" + top: "layer_128_2_bn1" +} +layer { + name: "layer_128_2_conv1" + type: "Convolution" + bottom: "layer_128_2_bn1" + top: "layer_128_2_conv1" + convolution_param { + num_output: 128 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_2_bn2" + type: "BatchNorm" + bottom: "layer_128_2_conv1" + top: "layer_128_2_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_2_scale2" + type: "Scale" + bottom: "layer_128_2_conv1" + top: "layer_128_2_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_2_relu2" + type: "ReLU" + bottom: "layer_128_2_conv1" + top: "layer_128_2_conv1" +} +layer { + name: "layer_128_2_conv2" + type: "Convolution" + bottom: "layer_128_2_conv1" + top: "layer_128_2_conv2" + convolution_param { + num_output: 128 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_128_2_bn3" + type: "BatchNorm" + bottom: "layer_128_2_conv2" + top: "layer_128_2_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_2_scale3" + type: "Scale" + bottom: "layer_128_2_conv2" + top: "layer_128_2_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_2_relu3" + type: "ReLU" + bottom: "layer_128_2_conv2" + top: "layer_128_2_conv2" +} +layer { + name: "layer_128_2_conv3" + type: "Convolution" + bottom: "layer_128_2_conv2" + top: "layer_128_2_conv3" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_2_sum" + type: "Eltwise" + bottom: "layer_128_2_conv3" + bottom: "layer_128_1_sum" + top: "layer_128_2_sum" +} +layer { + name: "layer_128_3_bn1" + type: "BatchNorm" + bottom: "layer_128_2_sum" + top: "layer_128_3_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_3_scale1" + type: "Scale" + bottom: "layer_128_3_bn1" + top: "layer_128_3_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_3_relu1" + type: "ReLU" + bottom: "layer_128_3_bn1" + top: "layer_128_3_bn1" +} +layer { + name: "layer_128_3_conv1" + type: "Convolution" + bottom: "layer_128_3_bn1" + top: "layer_128_3_conv1" + convolution_param { + num_output: 128 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_3_bn2" + type: "BatchNorm" + bottom: "layer_128_3_conv1" + top: "layer_128_3_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_3_scale2" + type: "Scale" + bottom: "layer_128_3_conv1" + top: "layer_128_3_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_3_relu2" + type: "ReLU" + bottom: "layer_128_3_conv1" + top: "layer_128_3_conv1" +} +layer { + name: "layer_128_3_conv2" + type: "Convolution" + bottom: "layer_128_3_conv1" + top: "layer_128_3_conv2" + convolution_param { + num_output: 128 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_128_3_bn3" + type: "BatchNorm" + bottom: "layer_128_3_conv2" + top: "layer_128_3_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_3_scale3" + type: "Scale" + bottom: "layer_128_3_conv2" + top: "layer_128_3_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_3_relu3" + type: "ReLU" + bottom: "layer_128_3_conv2" + top: "layer_128_3_conv2" +} +layer { + name: "layer_128_3_conv3" + type: "Convolution" + bottom: "layer_128_3_conv2" + top: "layer_128_3_conv3" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_3_sum" + type: "Eltwise" + bottom: "layer_128_3_conv3" + bottom: "layer_128_2_sum" + top: "layer_128_3_sum" +} +layer { + name: "layer_128_4_bn1" + type: "BatchNorm" + bottom: "layer_128_3_sum" + top: "layer_128_4_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_4_scale1" + type: "Scale" + bottom: "layer_128_4_bn1" + top: "layer_128_4_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_4_relu1" + type: "ReLU" + bottom: "layer_128_4_bn1" + top: "layer_128_4_bn1" +} +layer { + name: "layer_128_4_conv1" + type: "Convolution" + bottom: "layer_128_4_bn1" + top: "layer_128_4_conv1" + convolution_param { + num_output: 128 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_4_bn2" + type: "BatchNorm" + bottom: "layer_128_4_conv1" + top: "layer_128_4_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_4_scale2" + type: "Scale" + bottom: "layer_128_4_conv1" + top: "layer_128_4_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_4_relu2" + type: "ReLU" + bottom: "layer_128_4_conv1" + top: "layer_128_4_conv1" +} +layer { + name: "layer_128_4_conv2" + type: "Convolution" + bottom: "layer_128_4_conv1" + top: "layer_128_4_conv2" + convolution_param { + num_output: 128 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_128_4_bn3" + type: "BatchNorm" + bottom: "layer_128_4_conv2" + top: "layer_128_4_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_128_4_scale3" + type: "Scale" + bottom: "layer_128_4_conv2" + top: "layer_128_4_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_128_4_relu3" + type: "ReLU" + bottom: "layer_128_4_conv2" + top: "layer_128_4_conv2" +} +layer { + name: "layer_128_4_conv3" + type: "Convolution" + bottom: "layer_128_4_conv2" + top: "layer_128_4_conv3" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_128_4_sum" + type: "Eltwise" + bottom: "layer_128_4_conv3" + bottom: "layer_128_3_sum" + top: "layer_128_4_sum" +} +layer { + name: "layer_256_1_bn1" + type: "BatchNorm" + bottom: "layer_128_4_sum" + top: "layer_256_1_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_1_scale1" + type: "Scale" + bottom: "layer_256_1_bn1" + top: "layer_256_1_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_1_relu1" + type: "ReLU" + bottom: "layer_256_1_bn1" + top: "layer_256_1_bn1" +} +layer { + name: "layer_256_1_conv1" + type: "Convolution" + bottom: "layer_256_1_bn1" + top: "layer_256_1_conv1" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_1_bn2" + type: "BatchNorm" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_1_scale2" + type: "Scale" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_1_relu2" + type: "ReLU" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv1" +} +layer { + name: "layer_256_1_conv2" + type: "Convolution" + bottom: "layer_256_1_conv1" + top: "layer_256_1_conv2" + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 2 + } +} +layer { + name: "layer_256_1_bn3" + type: "BatchNorm" + bottom: "layer_256_1_conv2" + top: "layer_256_1_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_1_scale3" + type: "Scale" + bottom: "layer_256_1_conv2" + top: "layer_256_1_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_1_relu3" + type: "ReLU" + bottom: "layer_256_1_conv2" + top: "layer_256_1_conv2" +} +layer { + name: "layer_256_1_conv3" + type: "Convolution" + bottom: "layer_256_1_conv2" + top: "layer_256_1_conv3" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_1_conv_expand" + type: "Convolution" + bottom: "layer_256_1_bn1" + top: "layer_256_1_conv_expand" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 2 + } +} +layer { + name: "layer_256_1_sum" + type: "Eltwise" + bottom: "layer_256_1_conv3" + bottom: "layer_256_1_conv_expand" + top: "layer_256_1_sum" +} +layer { + name: "layer_256_2_bn1" + type: "BatchNorm" + bottom: "layer_256_1_sum" + top: "layer_256_2_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_2_scale1" + type: "Scale" + bottom: "layer_256_2_bn1" + top: "layer_256_2_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_2_relu1" + type: "ReLU" + bottom: "layer_256_2_bn1" + top: "layer_256_2_bn1" +} +layer { + name: "layer_256_2_conv1" + type: "Convolution" + bottom: "layer_256_2_bn1" + top: "layer_256_2_conv1" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_2_bn2" + type: "BatchNorm" + bottom: "layer_256_2_conv1" + top: "layer_256_2_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_2_scale2" + type: "Scale" + bottom: "layer_256_2_conv1" + top: "layer_256_2_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_2_relu2" + type: "ReLU" + bottom: "layer_256_2_conv1" + top: "layer_256_2_conv1" +} +layer { + name: "layer_256_2_conv2" + type: "Convolution" + bottom: "layer_256_2_conv1" + top: "layer_256_2_conv2" + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_256_2_bn3" + type: "BatchNorm" + bottom: "layer_256_2_conv2" + top: "layer_256_2_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_2_scale3" + type: "Scale" + bottom: "layer_256_2_conv2" + top: "layer_256_2_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_2_relu3" + type: "ReLU" + bottom: "layer_256_2_conv2" + top: "layer_256_2_conv2" +} +layer { + name: "layer_256_2_conv3" + type: "Convolution" + bottom: "layer_256_2_conv2" + top: "layer_256_2_conv3" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_2_sum" + type: "Eltwise" + bottom: "layer_256_2_conv3" + bottom: "layer_256_1_sum" + top: "layer_256_2_sum" +} +layer { + name: "layer_256_3_bn1" + type: "BatchNorm" + bottom: "layer_256_2_sum" + top: "layer_256_3_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_3_scale1" + type: "Scale" + bottom: "layer_256_3_bn1" + top: "layer_256_3_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_3_relu1" + type: "ReLU" + bottom: "layer_256_3_bn1" + top: "layer_256_3_bn1" +} +layer { + name: "layer_256_3_conv1" + type: "Convolution" + bottom: "layer_256_3_bn1" + top: "layer_256_3_conv1" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_3_bn2" + type: "BatchNorm" + bottom: "layer_256_3_conv1" + top: "layer_256_3_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_3_scale2" + type: "Scale" + bottom: "layer_256_3_conv1" + top: "layer_256_3_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_3_relu2" + type: "ReLU" + bottom: "layer_256_3_conv1" + top: "layer_256_3_conv1" +} +layer { + name: "layer_256_3_conv2" + type: "Convolution" + bottom: "layer_256_3_conv1" + top: "layer_256_3_conv2" + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_256_3_bn3" + type: "BatchNorm" + bottom: "layer_256_3_conv2" + top: "layer_256_3_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_3_scale3" + type: "Scale" + bottom: "layer_256_3_conv2" + top: "layer_256_3_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_3_relu3" + type: "ReLU" + bottom: "layer_256_3_conv2" + top: "layer_256_3_conv2" +} +layer { + name: "layer_256_3_conv3" + type: "Convolution" + bottom: "layer_256_3_conv2" + top: "layer_256_3_conv3" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_3_sum" + type: "Eltwise" + bottom: "layer_256_3_conv3" + bottom: "layer_256_2_sum" + top: "layer_256_3_sum" +} +layer { + name: "layer_256_4_bn1" + type: "BatchNorm" + bottom: "layer_256_3_sum" + top: "layer_256_4_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_4_scale1" + type: "Scale" + bottom: "layer_256_4_bn1" + top: "layer_256_4_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_4_relu1" + type: "ReLU" + bottom: "layer_256_4_bn1" + top: "layer_256_4_bn1" +} +layer { + name: "layer_256_4_conv1" + type: "Convolution" + bottom: "layer_256_4_bn1" + top: "layer_256_4_conv1" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_4_bn2" + type: "BatchNorm" + bottom: "layer_256_4_conv1" + top: "layer_256_4_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_4_scale2" + type: "Scale" + bottom: "layer_256_4_conv1" + top: "layer_256_4_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_4_relu2" + type: "ReLU" + bottom: "layer_256_4_conv1" + top: "layer_256_4_conv1" +} +layer { + name: "layer_256_4_conv2" + type: "Convolution" + bottom: "layer_256_4_conv1" + top: "layer_256_4_conv2" + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_256_4_bn3" + type: "BatchNorm" + bottom: "layer_256_4_conv2" + top: "layer_256_4_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_4_scale3" + type: "Scale" + bottom: "layer_256_4_conv2" + top: "layer_256_4_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_4_relu3" + type: "ReLU" + bottom: "layer_256_4_conv2" + top: "layer_256_4_conv2" +} +layer { + name: "layer_256_4_conv3" + type: "Convolution" + bottom: "layer_256_4_conv2" + top: "layer_256_4_conv3" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_4_sum" + type: "Eltwise" + bottom: "layer_256_4_conv3" + bottom: "layer_256_3_sum" + top: "layer_256_4_sum" +} +layer { + name: "layer_256_5_bn1" + type: "BatchNorm" + bottom: "layer_256_4_sum" + top: "layer_256_5_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_5_scale1" + type: "Scale" + bottom: "layer_256_5_bn1" + top: "layer_256_5_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_5_relu1" + type: "ReLU" + bottom: "layer_256_5_bn1" + top: "layer_256_5_bn1" +} +layer { + name: "layer_256_5_conv1" + type: "Convolution" + bottom: "layer_256_5_bn1" + top: "layer_256_5_conv1" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_5_bn2" + type: "BatchNorm" + bottom: "layer_256_5_conv1" + top: "layer_256_5_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_5_scale2" + type: "Scale" + bottom: "layer_256_5_conv1" + top: "layer_256_5_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_5_relu2" + type: "ReLU" + bottom: "layer_256_5_conv1" + top: "layer_256_5_conv1" +} +layer { + name: "layer_256_5_conv2" + type: "Convolution" + bottom: "layer_256_5_conv1" + top: "layer_256_5_conv2" + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_256_5_bn3" + type: "BatchNorm" + bottom: "layer_256_5_conv2" + top: "layer_256_5_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_5_scale3" + type: "Scale" + bottom: "layer_256_5_conv2" + top: "layer_256_5_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_5_relu3" + type: "ReLU" + bottom: "layer_256_5_conv2" + top: "layer_256_5_conv2" +} +layer { + name: "layer_256_5_conv3" + type: "Convolution" + bottom: "layer_256_5_conv2" + top: "layer_256_5_conv3" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_5_sum" + type: "Eltwise" + bottom: "layer_256_5_conv3" + bottom: "layer_256_4_sum" + top: "layer_256_5_sum" +} +layer { + name: "layer_256_6_bn1" + type: "BatchNorm" + bottom: "layer_256_5_sum" + top: "layer_256_6_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_6_scale1" + type: "Scale" + bottom: "layer_256_6_bn1" + top: "layer_256_6_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_6_relu1" + type: "ReLU" + bottom: "layer_256_6_bn1" + top: "layer_256_6_bn1" +} +layer { + name: "layer_256_6_conv1" + type: "Convolution" + bottom: "layer_256_6_bn1" + top: "layer_256_6_conv1" + convolution_param { + num_output: 256 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_6_bn2" + type: "BatchNorm" + bottom: "layer_256_6_conv1" + top: "layer_256_6_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_6_scale2" + type: "Scale" + bottom: "layer_256_6_conv1" + top: "layer_256_6_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_6_relu2" + type: "ReLU" + bottom: "layer_256_6_conv1" + top: "layer_256_6_conv1" +} +layer { + name: "layer_256_6_conv2" + type: "Convolution" + bottom: "layer_256_6_conv1" + top: "layer_256_6_conv2" + convolution_param { + num_output: 256 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_256_6_bn3" + type: "BatchNorm" + bottom: "layer_256_6_conv2" + top: "layer_256_6_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_256_6_scale3" + type: "Scale" + bottom: "layer_256_6_conv2" + top: "layer_256_6_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_256_6_relu3" + type: "ReLU" + bottom: "layer_256_6_conv2" + top: "layer_256_6_conv2" +} +layer { + name: "layer_256_6_conv3" + type: "Convolution" + bottom: "layer_256_6_conv2" + top: "layer_256_6_conv3" + convolution_param { + num_output: 1024 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_256_6_sum" + type: "Eltwise" + bottom: "layer_256_6_conv3" + bottom: "layer_256_5_sum" + top: "layer_256_6_sum" +} +layer { + name: "layer_512_1_bn1" + type: "BatchNorm" + bottom: "layer_256_6_sum" + top: "layer_512_1_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_1_scale1" + type: "Scale" + bottom: "layer_512_1_bn1" + top: "layer_512_1_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_1_relu1" + type: "ReLU" + bottom: "layer_512_1_bn1" + top: "layer_512_1_bn1" +} +layer { + name: "layer_512_1_conv1" + type: "Convolution" + bottom: "layer_512_1_bn1" + top: "layer_512_1_conv1" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_512_1_bn2" + type: "BatchNorm" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_1_scale2" + type: "Scale" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_1_relu2" + type: "ReLU" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv1" +} +layer { + name: "layer_512_1_conv2" + type: "Convolution" + bottom: "layer_512_1_conv1" + top: "layer_512_1_conv2" + convolution_param { + num_output: 512 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 2 + } +} +layer { + name: "layer_512_1_bn3" + type: "BatchNorm" + bottom: "layer_512_1_conv2" + top: "layer_512_1_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_1_scale3" + type: "Scale" + bottom: "layer_512_1_conv2" + top: "layer_512_1_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_1_relu3" + type: "ReLU" + bottom: "layer_512_1_conv2" + top: "layer_512_1_conv2" +} +layer { + name: "layer_512_1_conv3" + type: "Convolution" + bottom: "layer_512_1_conv2" + top: "layer_512_1_conv3" + convolution_param { + num_output: 2048 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_512_1_conv_expand" + type: "Convolution" + bottom: "layer_512_1_bn1" + top: "layer_512_1_conv_expand" + convolution_param { + num_output: 2048 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 2 + } +} +layer { + name: "layer_512_1_sum" + type: "Eltwise" + bottom: "layer_512_1_conv3" + bottom: "layer_512_1_conv_expand" + top: "layer_512_1_sum" +} +layer { + name: "layer_512_2_bn1" + type: "BatchNorm" + bottom: "layer_512_1_sum" + top: "layer_512_2_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_2_scale1" + type: "Scale" + bottom: "layer_512_2_bn1" + top: "layer_512_2_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_2_relu1" + type: "ReLU" + bottom: "layer_512_2_bn1" + top: "layer_512_2_bn1" +} +layer { + name: "layer_512_2_conv1" + type: "Convolution" + bottom: "layer_512_2_bn1" + top: "layer_512_2_conv1" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_512_2_bn2" + type: "BatchNorm" + bottom: "layer_512_2_conv1" + top: "layer_512_2_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_2_scale2" + type: "Scale" + bottom: "layer_512_2_conv1" + top: "layer_512_2_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_2_relu2" + type: "ReLU" + bottom: "layer_512_2_conv1" + top: "layer_512_2_conv1" +} +layer { + name: "layer_512_2_conv2" + type: "Convolution" + bottom: "layer_512_2_conv1" + top: "layer_512_2_conv2" + convolution_param { + num_output: 512 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_512_2_bn3" + type: "BatchNorm" + bottom: "layer_512_2_conv2" + top: "layer_512_2_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_2_scale3" + type: "Scale" + bottom: "layer_512_2_conv2" + top: "layer_512_2_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_2_relu3" + type: "ReLU" + bottom: "layer_512_2_conv2" + top: "layer_512_2_conv2" +} +layer { + name: "layer_512_2_conv3" + type: "Convolution" + bottom: "layer_512_2_conv2" + top: "layer_512_2_conv3" + convolution_param { + num_output: 2048 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_512_2_sum" + type: "Eltwise" + bottom: "layer_512_2_conv3" + bottom: "layer_512_1_sum" + top: "layer_512_2_sum" +} +layer { + name: "layer_512_3_bn1" + type: "BatchNorm" + bottom: "layer_512_2_sum" + top: "layer_512_3_bn1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_3_scale1" + type: "Scale" + bottom: "layer_512_3_bn1" + top: "layer_512_3_bn1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_3_relu1" + type: "ReLU" + bottom: "layer_512_3_bn1" + top: "layer_512_3_bn1" +} +layer { + name: "layer_512_3_conv1" + type: "Convolution" + bottom: "layer_512_3_bn1" + top: "layer_512_3_conv1" + convolution_param { + num_output: 512 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_512_3_bn2" + type: "BatchNorm" + bottom: "layer_512_3_conv1" + top: "layer_512_3_conv1" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_3_scale2" + type: "Scale" + bottom: "layer_512_3_conv1" + top: "layer_512_3_conv1" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_3_relu2" + type: "ReLU" + bottom: "layer_512_3_conv1" + top: "layer_512_3_conv1" +} +layer { + name: "layer_512_3_conv2" + type: "Convolution" + bottom: "layer_512_3_conv1" + top: "layer_512_3_conv2" + convolution_param { + num_output: 512 + bias_term: false + pad: 1 + kernel_size: 3 + stride: 1 + } +} +layer { + name: "layer_512_3_bn3" + type: "BatchNorm" + bottom: "layer_512_3_conv2" + top: "layer_512_3_conv2" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "layer_512_3_scale3" + type: "Scale" + bottom: "layer_512_3_conv2" + top: "layer_512_3_conv2" + scale_param { + bias_term: true + } +} +layer { + name: "layer_512_3_relu3" + type: "ReLU" + bottom: "layer_512_3_conv2" + top: "layer_512_3_conv2" +} +layer { + name: "layer_512_3_conv3" + type: "Convolution" + bottom: "layer_512_3_conv2" + top: "layer_512_3_conv3" + convolution_param { + num_output: 2048 + bias_term: false + pad: 0 + kernel_size: 1 + stride: 1 + } +} +layer { + name: "layer_512_3_sum" + type: "Eltwise" + bottom: "layer_512_3_conv3" + bottom: "layer_512_2_sum" + top: "layer_512_3_sum" +} +layer { + name: "last_bn" + type: "BatchNorm" + bottom: "layer_512_3_sum" + top: "layer_512_3_sum" + batch_norm_param { + use_global_stats: true + } +} +layer { + name: "last_scale" + type: "Scale" + bottom: "layer_512_3_sum" + top: "layer_512_3_sum" + scale_param { + bias_term: true + } +} +layer { + name: "last_relu" + type: "ReLU" + bottom: "layer_512_3_sum" + top: "layer_512_3_sum" +} +layer { + name: "global_pool" + type: "Pooling" + bottom: "layer_512_3_sum" + top: "global_pool" + pooling_param { + pool: AVE + global_pooling: true + } +} +layer { + name: "score" + type: "InnerProduct" + bottom: "global_pool" + top: "score" + inner_product_param { + num_output: 1000 + } +} +layer { + name: "prob" + type: "Softmax" + bottom: "score" + top: "prob" +} + diff --git a/24-07/caffe/deploy/44-3DMM_CNN.prototxt b/24-07/caffe/deploy/44-3DMM_CNN.prototxt new file mode 100644 index 0000000..e59f2b2 --- /dev/null +++ b/24-07/caffe/deploy/44-3DMM_CNN.prototxt @@ -0,0 +1,6307 @@ +name: "ResNet-101" +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 224 +input_dim: 224 + +layer { + bottom: "data" + top: "conv1" + name: "conv1" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 7 + pad: 3 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "conv1" + top: "conv1" + name: "bn_conv1" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "conv1" + top: "conv1" + name: "scale_conv1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "conv1" + bottom: "conv1" + name: "conv1_relu" + type: "ReLU" +} + +layer { + bottom: "conv1" + top: "pool1" + name: "pool1" + type: "Pooling" + pooling_param { + kernel_size: 3 + stride: 2 + pool: MAX + } +} + +layer { + bottom: "pool1" + top: "res2a_branch1" + name: "res2a_branch1" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2a_branch1" + top: "res2a_branch1" + name: "bn2a_branch1" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2a_branch1" + top: "res2a_branch1" + name: "scale2a_branch1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "pool1" + top: "res2a_branch2a" + name: "res2a_branch2a" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2a_branch2a" + top: "res2a_branch2a" + name: "bn2a_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2a_branch2a" + top: "res2a_branch2a" + name: "scale2a_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res2a_branch2a" + bottom: "res2a_branch2a" + name: "res2a_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res2a_branch2a" + top: "res2a_branch2b" + name: "res2a_branch2b" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2a_branch2b" + top: "res2a_branch2b" + name: "bn2a_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2a_branch2b" + top: "res2a_branch2b" + name: "scale2a_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res2a_branch2b" + bottom: "res2a_branch2b" + name: "res2a_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res2a_branch2b" + top: "res2a_branch2c" + name: "res2a_branch2c" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2a_branch2c" + top: "res2a_branch2c" + name: "bn2a_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2a_branch2c" + top: "res2a_branch2c" + name: "scale2a_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res2a_branch1" + bottom: "res2a_branch2c" + top: "res2a" + name: "res2a" + type: "Eltwise" +} + +layer { + bottom: "res2a" + top: "res2a" + name: "res2a_relu" + type: "ReLU" +} + +layer { + bottom: "res2a" + top: "res2b_branch2a" + name: "res2b_branch2a" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2b_branch2a" + top: "res2b_branch2a" + name: "bn2b_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2b_branch2a" + top: "res2b_branch2a" + name: "scale2b_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res2b_branch2a" + bottom: "res2b_branch2a" + name: "res2b_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res2b_branch2a" + top: "res2b_branch2b" + name: "res2b_branch2b" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2b_branch2b" + top: "res2b_branch2b" + name: "bn2b_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2b_branch2b" + top: "res2b_branch2b" + name: "scale2b_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res2b_branch2b" + bottom: "res2b_branch2b" + name: "res2b_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res2b_branch2b" + top: "res2b_branch2c" + name: "res2b_branch2c" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2b_branch2c" + top: "res2b_branch2c" + name: "bn2b_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2b_branch2c" + top: "res2b_branch2c" + name: "scale2b_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res2a" + bottom: "res2b_branch2c" + top: "res2b" + name: "res2b" + type: "Eltwise" +} + +layer { + bottom: "res2b" + top: "res2b" + name: "res2b_relu" + type: "ReLU" +} + +layer { + bottom: "res2b" + top: "res2c_branch2a" + name: "res2c_branch2a" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2c_branch2a" + top: "res2c_branch2a" + name: "bn2c_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2c_branch2a" + top: "res2c_branch2a" + name: "scale2c_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res2c_branch2a" + bottom: "res2c_branch2a" + name: "res2c_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res2c_branch2a" + top: "res2c_branch2b" + name: "res2c_branch2b" + type: "Convolution" + convolution_param { + num_output: 64 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2c_branch2b" + top: "res2c_branch2b" + name: "bn2c_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2c_branch2b" + top: "res2c_branch2b" + name: "scale2c_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res2c_branch2b" + bottom: "res2c_branch2b" + name: "res2c_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res2c_branch2b" + top: "res2c_branch2c" + name: "res2c_branch2c" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res2c_branch2c" + top: "res2c_branch2c" + name: "bn2c_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res2c_branch2c" + top: "res2c_branch2c" + name: "scale2c_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res2b" + bottom: "res2c_branch2c" + top: "res2c" + name: "res2c" + type: "Eltwise" +} + +layer { + bottom: "res2c" + top: "res2c" + name: "res2c_relu" + type: "ReLU" +} + +layer { + bottom: "res2c" + top: "res3a_branch1" + name: "res3a_branch1" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3a_branch1" + top: "res3a_branch1" + name: "bn3a_branch1" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3a_branch1" + top: "res3a_branch1" + name: "scale3a_branch1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res2c" + top: "res3a_branch2a" + name: "res3a_branch2a" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 1 + pad: 0 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3a_branch2a" + top: "res3a_branch2a" + name: "bn3a_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3a_branch2a" + top: "res3a_branch2a" + name: "scale3a_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3a_branch2a" + bottom: "res3a_branch2a" + name: "res3a_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res3a_branch2a" + top: "res3a_branch2b" + name: "res3a_branch2b" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3a_branch2b" + top: "res3a_branch2b" + name: "bn3a_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3a_branch2b" + top: "res3a_branch2b" + name: "scale3a_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3a_branch2b" + bottom: "res3a_branch2b" + name: "res3a_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res3a_branch2b" + top: "res3a_branch2c" + name: "res3a_branch2c" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3a_branch2c" + top: "res3a_branch2c" + name: "bn3a_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3a_branch2c" + top: "res3a_branch2c" + name: "scale3a_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res3a_branch1" + bottom: "res3a_branch2c" + top: "res3a" + name: "res3a" + type: "Eltwise" +} + +layer { + bottom: "res3a" + top: "res3a" + name: "res3a_relu" + type: "ReLU" +} + +layer { + bottom: "res3a" + top: "res3b1_branch2a" + name: "res3b1_branch2a" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b1_branch2a" + top: "res3b1_branch2a" + name: "bn3b1_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b1_branch2a" + top: "res3b1_branch2a" + name: "scale3b1_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3b1_branch2a" + bottom: "res3b1_branch2a" + name: "res3b1_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res3b1_branch2a" + top: "res3b1_branch2b" + name: "res3b1_branch2b" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b1_branch2b" + top: "res3b1_branch2b" + name: "bn3b1_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b1_branch2b" + top: "res3b1_branch2b" + name: "scale3b1_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3b1_branch2b" + bottom: "res3b1_branch2b" + name: "res3b1_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res3b1_branch2b" + top: "res3b1_branch2c" + name: "res3b1_branch2c" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b1_branch2c" + top: "res3b1_branch2c" + name: "bn3b1_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b1_branch2c" + top: "res3b1_branch2c" + name: "scale3b1_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res3a" + bottom: "res3b1_branch2c" + top: "res3b1" + name: "res3b1" + type: "Eltwise" +} + +layer { + bottom: "res3b1" + top: "res3b1" + name: "res3b1_relu" + type: "ReLU" +} + +layer { + bottom: "res3b1" + top: "res3b2_branch2a" + name: "res3b2_branch2a" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b2_branch2a" + top: "res3b2_branch2a" + name: "bn3b2_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b2_branch2a" + top: "res3b2_branch2a" + name: "scale3b2_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3b2_branch2a" + bottom: "res3b2_branch2a" + name: "res3b2_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res3b2_branch2a" + top: "res3b2_branch2b" + name: "res3b2_branch2b" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b2_branch2b" + top: "res3b2_branch2b" + name: "bn3b2_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b2_branch2b" + top: "res3b2_branch2b" + name: "scale3b2_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3b2_branch2b" + bottom: "res3b2_branch2b" + name: "res3b2_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res3b2_branch2b" + top: "res3b2_branch2c" + name: "res3b2_branch2c" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b2_branch2c" + top: "res3b2_branch2c" + name: "bn3b2_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b2_branch2c" + top: "res3b2_branch2c" + name: "scale3b2_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res3b1" + bottom: "res3b2_branch2c" + top: "res3b2" + name: "res3b2" + type: "Eltwise" +} + +layer { + bottom: "res3b2" + top: "res3b2" + name: "res3b2_relu" + type: "ReLU" +} + +layer { + bottom: "res3b2" + top: "res3b3_branch2a" + name: "res3b3_branch2a" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b3_branch2a" + top: "res3b3_branch2a" + name: "bn3b3_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b3_branch2a" + top: "res3b3_branch2a" + name: "scale3b3_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3b3_branch2a" + bottom: "res3b3_branch2a" + name: "res3b3_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res3b3_branch2a" + top: "res3b3_branch2b" + name: "res3b3_branch2b" + type: "Convolution" + convolution_param { + num_output: 128 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b3_branch2b" + top: "res3b3_branch2b" + name: "bn3b3_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b3_branch2b" + top: "res3b3_branch2b" + name: "scale3b3_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res3b3_branch2b" + bottom: "res3b3_branch2b" + name: "res3b3_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res3b3_branch2b" + top: "res3b3_branch2c" + name: "res3b3_branch2c" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res3b3_branch2c" + top: "res3b3_branch2c" + name: "bn3b3_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res3b3_branch2c" + top: "res3b3_branch2c" + name: "scale3b3_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res3b2" + bottom: "res3b3_branch2c" + top: "res3b3" + name: "res3b3" + type: "Eltwise" +} + +layer { + bottom: "res3b3" + top: "res3b3" + name: "res3b3_relu" + type: "ReLU" +} + +layer { + bottom: "res3b3" + top: "res4a_branch1" + name: "res4a_branch1" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4a_branch1" + top: "res4a_branch1" + name: "bn4a_branch1" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4a_branch1" + top: "res4a_branch1" + name: "scale4a_branch1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res3b3" + top: "res4a_branch2a" + name: "res4a_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4a_branch2a" + top: "res4a_branch2a" + name: "bn4a_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4a_branch2a" + top: "res4a_branch2a" + name: "scale4a_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4a_branch2a" + bottom: "res4a_branch2a" + name: "res4a_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4a_branch2a" + top: "res4a_branch2b" + name: "res4a_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4a_branch2b" + top: "res4a_branch2b" + name: "bn4a_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4a_branch2b" + top: "res4a_branch2b" + name: "scale4a_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4a_branch2b" + bottom: "res4a_branch2b" + name: "res4a_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4a_branch2b" + top: "res4a_branch2c" + name: "res4a_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4a_branch2c" + top: "res4a_branch2c" + name: "bn4a_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4a_branch2c" + top: "res4a_branch2c" + name: "scale4a_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4a_branch1" + bottom: "res4a_branch2c" + top: "res4a" + name: "res4a" + type: "Eltwise" +} + +layer { + bottom: "res4a" + top: "res4a" + name: "res4a_relu" + type: "ReLU" +} + +layer { + bottom: "res4a" + top: "res4b1_branch2a" + name: "res4b1_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b1_branch2a" + top: "res4b1_branch2a" + name: "bn4b1_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b1_branch2a" + top: "res4b1_branch2a" + name: "scale4b1_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b1_branch2a" + bottom: "res4b1_branch2a" + name: "res4b1_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b1_branch2a" + top: "res4b1_branch2b" + name: "res4b1_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b1_branch2b" + top: "res4b1_branch2b" + name: "bn4b1_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b1_branch2b" + top: "res4b1_branch2b" + name: "scale4b1_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b1_branch2b" + bottom: "res4b1_branch2b" + name: "res4b1_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b1_branch2b" + top: "res4b1_branch2c" + name: "res4b1_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b1_branch2c" + top: "res4b1_branch2c" + name: "bn4b1_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b1_branch2c" + top: "res4b1_branch2c" + name: "scale4b1_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4a" + bottom: "res4b1_branch2c" + top: "res4b1" + name: "res4b1" + type: "Eltwise" +} + +layer { + bottom: "res4b1" + top: "res4b1" + name: "res4b1_relu" + type: "ReLU" +} + +layer { + bottom: "res4b1" + top: "res4b2_branch2a" + name: "res4b2_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b2_branch2a" + top: "res4b2_branch2a" + name: "bn4b2_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b2_branch2a" + top: "res4b2_branch2a" + name: "scale4b2_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b2_branch2a" + bottom: "res4b2_branch2a" + name: "res4b2_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b2_branch2a" + top: "res4b2_branch2b" + name: "res4b2_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b2_branch2b" + top: "res4b2_branch2b" + name: "bn4b2_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b2_branch2b" + top: "res4b2_branch2b" + name: "scale4b2_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b2_branch2b" + bottom: "res4b2_branch2b" + name: "res4b2_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b2_branch2b" + top: "res4b2_branch2c" + name: "res4b2_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b2_branch2c" + top: "res4b2_branch2c" + name: "bn4b2_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b2_branch2c" + top: "res4b2_branch2c" + name: "scale4b2_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b1" + bottom: "res4b2_branch2c" + top: "res4b2" + name: "res4b2" + type: "Eltwise" +} + +layer { + bottom: "res4b2" + top: "res4b2" + name: "res4b2_relu" + type: "ReLU" +} + +layer { + bottom: "res4b2" + top: "res4b3_branch2a" + name: "res4b3_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b3_branch2a" + top: "res4b3_branch2a" + name: "bn4b3_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b3_branch2a" + top: "res4b3_branch2a" + name: "scale4b3_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b3_branch2a" + bottom: "res4b3_branch2a" + name: "res4b3_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b3_branch2a" + top: "res4b3_branch2b" + name: "res4b3_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b3_branch2b" + top: "res4b3_branch2b" + name: "bn4b3_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b3_branch2b" + top: "res4b3_branch2b" + name: "scale4b3_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b3_branch2b" + bottom: "res4b3_branch2b" + name: "res4b3_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b3_branch2b" + top: "res4b3_branch2c" + name: "res4b3_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b3_branch2c" + top: "res4b3_branch2c" + name: "bn4b3_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b3_branch2c" + top: "res4b3_branch2c" + name: "scale4b3_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b2" + bottom: "res4b3_branch2c" + top: "res4b3" + name: "res4b3" + type: "Eltwise" +} + +layer { + bottom: "res4b3" + top: "res4b3" + name: "res4b3_relu" + type: "ReLU" +} + +layer { + bottom: "res4b3" + top: "res4b4_branch2a" + name: "res4b4_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b4_branch2a" + top: "res4b4_branch2a" + name: "bn4b4_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b4_branch2a" + top: "res4b4_branch2a" + name: "scale4b4_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b4_branch2a" + bottom: "res4b4_branch2a" + name: "res4b4_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b4_branch2a" + top: "res4b4_branch2b" + name: "res4b4_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b4_branch2b" + top: "res4b4_branch2b" + name: "bn4b4_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b4_branch2b" + top: "res4b4_branch2b" + name: "scale4b4_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b4_branch2b" + bottom: "res4b4_branch2b" + name: "res4b4_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b4_branch2b" + top: "res4b4_branch2c" + name: "res4b4_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b4_branch2c" + top: "res4b4_branch2c" + name: "bn4b4_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b4_branch2c" + top: "res4b4_branch2c" + name: "scale4b4_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b3" + bottom: "res4b4_branch2c" + top: "res4b4" + name: "res4b4" + type: "Eltwise" +} + +layer { + bottom: "res4b4" + top: "res4b4" + name: "res4b4_relu" + type: "ReLU" +} + +layer { + bottom: "res4b4" + top: "res4b5_branch2a" + name: "res4b5_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b5_branch2a" + top: "res4b5_branch2a" + name: "bn4b5_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b5_branch2a" + top: "res4b5_branch2a" + name: "scale4b5_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b5_branch2a" + bottom: "res4b5_branch2a" + name: "res4b5_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b5_branch2a" + top: "res4b5_branch2b" + name: "res4b5_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b5_branch2b" + top: "res4b5_branch2b" + name: "bn4b5_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b5_branch2b" + top: "res4b5_branch2b" + name: "scale4b5_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b5_branch2b" + bottom: "res4b5_branch2b" + name: "res4b5_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b5_branch2b" + top: "res4b5_branch2c" + name: "res4b5_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b5_branch2c" + top: "res4b5_branch2c" + name: "bn4b5_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b5_branch2c" + top: "res4b5_branch2c" + name: "scale4b5_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b4" + bottom: "res4b5_branch2c" + top: "res4b5" + name: "res4b5" + type: "Eltwise" +} + +layer { + bottom: "res4b5" + top: "res4b5" + name: "res4b5_relu" + type: "ReLU" +} + +layer { + bottom: "res4b5" + top: "res4b6_branch2a" + name: "res4b6_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b6_branch2a" + top: "res4b6_branch2a" + name: "bn4b6_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b6_branch2a" + top: "res4b6_branch2a" + name: "scale4b6_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b6_branch2a" + bottom: "res4b6_branch2a" + name: "res4b6_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b6_branch2a" + top: "res4b6_branch2b" + name: "res4b6_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b6_branch2b" + top: "res4b6_branch2b" + name: "bn4b6_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b6_branch2b" + top: "res4b6_branch2b" + name: "scale4b6_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b6_branch2b" + bottom: "res4b6_branch2b" + name: "res4b6_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b6_branch2b" + top: "res4b6_branch2c" + name: "res4b6_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b6_branch2c" + top: "res4b6_branch2c" + name: "bn4b6_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b6_branch2c" + top: "res4b6_branch2c" + name: "scale4b6_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b5" + bottom: "res4b6_branch2c" + top: "res4b6" + name: "res4b6" + type: "Eltwise" +} + +layer { + bottom: "res4b6" + top: "res4b6" + name: "res4b6_relu" + type: "ReLU" +} + +layer { + bottom: "res4b6" + top: "res4b7_branch2a" + name: "res4b7_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b7_branch2a" + top: "res4b7_branch2a" + name: "bn4b7_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b7_branch2a" + top: "res4b7_branch2a" + name: "scale4b7_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b7_branch2a" + bottom: "res4b7_branch2a" + name: "res4b7_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b7_branch2a" + top: "res4b7_branch2b" + name: "res4b7_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b7_branch2b" + top: "res4b7_branch2b" + name: "bn4b7_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b7_branch2b" + top: "res4b7_branch2b" + name: "scale4b7_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b7_branch2b" + bottom: "res4b7_branch2b" + name: "res4b7_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b7_branch2b" + top: "res4b7_branch2c" + name: "res4b7_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b7_branch2c" + top: "res4b7_branch2c" + name: "bn4b7_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b7_branch2c" + top: "res4b7_branch2c" + name: "scale4b7_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b6" + bottom: "res4b7_branch2c" + top: "res4b7" + name: "res4b7" + type: "Eltwise" +} + +layer { + bottom: "res4b7" + top: "res4b7" + name: "res4b7_relu" + type: "ReLU" +} + +layer { + bottom: "res4b7" + top: "res4b8_branch2a" + name: "res4b8_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b8_branch2a" + top: "res4b8_branch2a" + name: "bn4b8_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b8_branch2a" + top: "res4b8_branch2a" + name: "scale4b8_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b8_branch2a" + bottom: "res4b8_branch2a" + name: "res4b8_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b8_branch2a" + top: "res4b8_branch2b" + name: "res4b8_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b8_branch2b" + top: "res4b8_branch2b" + name: "bn4b8_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b8_branch2b" + top: "res4b8_branch2b" + name: "scale4b8_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b8_branch2b" + bottom: "res4b8_branch2b" + name: "res4b8_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b8_branch2b" + top: "res4b8_branch2c" + name: "res4b8_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b8_branch2c" + top: "res4b8_branch2c" + name: "bn4b8_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b8_branch2c" + top: "res4b8_branch2c" + name: "scale4b8_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b7" + bottom: "res4b8_branch2c" + top: "res4b8" + name: "res4b8" + type: "Eltwise" +} + +layer { + bottom: "res4b8" + top: "res4b8" + name: "res4b8_relu" + type: "ReLU" +} + +layer { + bottom: "res4b8" + top: "res4b9_branch2a" + name: "res4b9_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b9_branch2a" + top: "res4b9_branch2a" + name: "bn4b9_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b9_branch2a" + top: "res4b9_branch2a" + name: "scale4b9_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b9_branch2a" + bottom: "res4b9_branch2a" + name: "res4b9_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b9_branch2a" + top: "res4b9_branch2b" + name: "res4b9_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b9_branch2b" + top: "res4b9_branch2b" + name: "bn4b9_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b9_branch2b" + top: "res4b9_branch2b" + name: "scale4b9_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b9_branch2b" + bottom: "res4b9_branch2b" + name: "res4b9_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b9_branch2b" + top: "res4b9_branch2c" + name: "res4b9_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b9_branch2c" + top: "res4b9_branch2c" + name: "bn4b9_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b9_branch2c" + top: "res4b9_branch2c" + name: "scale4b9_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b8" + bottom: "res4b9_branch2c" + top: "res4b9" + name: "res4b9" + type: "Eltwise" +} + +layer { + bottom: "res4b9" + top: "res4b9" + name: "res4b9_relu" + type: "ReLU" +} + +layer { + bottom: "res4b9" + top: "res4b10_branch2a" + name: "res4b10_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b10_branch2a" + top: "res4b10_branch2a" + name: "bn4b10_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b10_branch2a" + top: "res4b10_branch2a" + name: "scale4b10_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b10_branch2a" + bottom: "res4b10_branch2a" + name: "res4b10_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b10_branch2a" + top: "res4b10_branch2b" + name: "res4b10_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b10_branch2b" + top: "res4b10_branch2b" + name: "bn4b10_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b10_branch2b" + top: "res4b10_branch2b" + name: "scale4b10_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b10_branch2b" + bottom: "res4b10_branch2b" + name: "res4b10_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b10_branch2b" + top: "res4b10_branch2c" + name: "res4b10_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b10_branch2c" + top: "res4b10_branch2c" + name: "bn4b10_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b10_branch2c" + top: "res4b10_branch2c" + name: "scale4b10_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b9" + bottom: "res4b10_branch2c" + top: "res4b10" + name: "res4b10" + type: "Eltwise" +} + +layer { + bottom: "res4b10" + top: "res4b10" + name: "res4b10_relu" + type: "ReLU" +} + +layer { + bottom: "res4b10" + top: "res4b11_branch2a" + name: "res4b11_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b11_branch2a" + top: "res4b11_branch2a" + name: "bn4b11_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b11_branch2a" + top: "res4b11_branch2a" + name: "scale4b11_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b11_branch2a" + bottom: "res4b11_branch2a" + name: "res4b11_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b11_branch2a" + top: "res4b11_branch2b" + name: "res4b11_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b11_branch2b" + top: "res4b11_branch2b" + name: "bn4b11_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b11_branch2b" + top: "res4b11_branch2b" + name: "scale4b11_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b11_branch2b" + bottom: "res4b11_branch2b" + name: "res4b11_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b11_branch2b" + top: "res4b11_branch2c" + name: "res4b11_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b11_branch2c" + top: "res4b11_branch2c" + name: "bn4b11_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b11_branch2c" + top: "res4b11_branch2c" + name: "scale4b11_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b10" + bottom: "res4b11_branch2c" + top: "res4b11" + name: "res4b11" + type: "Eltwise" +} + +layer { + bottom: "res4b11" + top: "res4b11" + name: "res4b11_relu" + type: "ReLU" +} + +layer { + bottom: "res4b11" + top: "res4b12_branch2a" + name: "res4b12_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b12_branch2a" + top: "res4b12_branch2a" + name: "bn4b12_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b12_branch2a" + top: "res4b12_branch2a" + name: "scale4b12_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b12_branch2a" + bottom: "res4b12_branch2a" + name: "res4b12_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b12_branch2a" + top: "res4b12_branch2b" + name: "res4b12_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b12_branch2b" + top: "res4b12_branch2b" + name: "bn4b12_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b12_branch2b" + top: "res4b12_branch2b" + name: "scale4b12_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b12_branch2b" + bottom: "res4b12_branch2b" + name: "res4b12_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b12_branch2b" + top: "res4b12_branch2c" + name: "res4b12_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b12_branch2c" + top: "res4b12_branch2c" + name: "bn4b12_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b12_branch2c" + top: "res4b12_branch2c" + name: "scale4b12_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b11" + bottom: "res4b12_branch2c" + top: "res4b12" + name: "res4b12" + type: "Eltwise" +} + +layer { + bottom: "res4b12" + top: "res4b12" + name: "res4b12_relu" + type: "ReLU" +} + +layer { + bottom: "res4b12" + top: "res4b13_branch2a" + name: "res4b13_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b13_branch2a" + top: "res4b13_branch2a" + name: "bn4b13_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b13_branch2a" + top: "res4b13_branch2a" + name: "scale4b13_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b13_branch2a" + bottom: "res4b13_branch2a" + name: "res4b13_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b13_branch2a" + top: "res4b13_branch2b" + name: "res4b13_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b13_branch2b" + top: "res4b13_branch2b" + name: "bn4b13_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b13_branch2b" + top: "res4b13_branch2b" + name: "scale4b13_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b13_branch2b" + bottom: "res4b13_branch2b" + name: "res4b13_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b13_branch2b" + top: "res4b13_branch2c" + name: "res4b13_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b13_branch2c" + top: "res4b13_branch2c" + name: "bn4b13_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b13_branch2c" + top: "res4b13_branch2c" + name: "scale4b13_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b12" + bottom: "res4b13_branch2c" + top: "res4b13" + name: "res4b13" + type: "Eltwise" +} + +layer { + bottom: "res4b13" + top: "res4b13" + name: "res4b13_relu" + type: "ReLU" +} + +layer { + bottom: "res4b13" + top: "res4b14_branch2a" + name: "res4b14_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b14_branch2a" + top: "res4b14_branch2a" + name: "bn4b14_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b14_branch2a" + top: "res4b14_branch2a" + name: "scale4b14_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b14_branch2a" + bottom: "res4b14_branch2a" + name: "res4b14_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b14_branch2a" + top: "res4b14_branch2b" + name: "res4b14_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b14_branch2b" + top: "res4b14_branch2b" + name: "bn4b14_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b14_branch2b" + top: "res4b14_branch2b" + name: "scale4b14_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b14_branch2b" + bottom: "res4b14_branch2b" + name: "res4b14_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b14_branch2b" + top: "res4b14_branch2c" + name: "res4b14_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b14_branch2c" + top: "res4b14_branch2c" + name: "bn4b14_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b14_branch2c" + top: "res4b14_branch2c" + name: "scale4b14_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b13" + bottom: "res4b14_branch2c" + top: "res4b14" + name: "res4b14" + type: "Eltwise" +} + +layer { + bottom: "res4b14" + top: "res4b14" + name: "res4b14_relu" + type: "ReLU" +} + +layer { + bottom: "res4b14" + top: "res4b15_branch2a" + name: "res4b15_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b15_branch2a" + top: "res4b15_branch2a" + name: "bn4b15_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b15_branch2a" + top: "res4b15_branch2a" + name: "scale4b15_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b15_branch2a" + bottom: "res4b15_branch2a" + name: "res4b15_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b15_branch2a" + top: "res4b15_branch2b" + name: "res4b15_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b15_branch2b" + top: "res4b15_branch2b" + name: "bn4b15_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b15_branch2b" + top: "res4b15_branch2b" + name: "scale4b15_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b15_branch2b" + bottom: "res4b15_branch2b" + name: "res4b15_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b15_branch2b" + top: "res4b15_branch2c" + name: "res4b15_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b15_branch2c" + top: "res4b15_branch2c" + name: "bn4b15_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b15_branch2c" + top: "res4b15_branch2c" + name: "scale4b15_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b14" + bottom: "res4b15_branch2c" + top: "res4b15" + name: "res4b15" + type: "Eltwise" +} + +layer { + bottom: "res4b15" + top: "res4b15" + name: "res4b15_relu" + type: "ReLU" +} + +layer { + bottom: "res4b15" + top: "res4b16_branch2a" + name: "res4b16_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b16_branch2a" + top: "res4b16_branch2a" + name: "bn4b16_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b16_branch2a" + top: "res4b16_branch2a" + name: "scale4b16_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b16_branch2a" + bottom: "res4b16_branch2a" + name: "res4b16_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b16_branch2a" + top: "res4b16_branch2b" + name: "res4b16_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b16_branch2b" + top: "res4b16_branch2b" + name: "bn4b16_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b16_branch2b" + top: "res4b16_branch2b" + name: "scale4b16_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b16_branch2b" + bottom: "res4b16_branch2b" + name: "res4b16_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b16_branch2b" + top: "res4b16_branch2c" + name: "res4b16_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b16_branch2c" + top: "res4b16_branch2c" + name: "bn4b16_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b16_branch2c" + top: "res4b16_branch2c" + name: "scale4b16_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b15" + bottom: "res4b16_branch2c" + top: "res4b16" + name: "res4b16" + type: "Eltwise" +} + +layer { + bottom: "res4b16" + top: "res4b16" + name: "res4b16_relu" + type: "ReLU" +} + +layer { + bottom: "res4b16" + top: "res4b17_branch2a" + name: "res4b17_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b17_branch2a" + top: "res4b17_branch2a" + name: "bn4b17_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b17_branch2a" + top: "res4b17_branch2a" + name: "scale4b17_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b17_branch2a" + bottom: "res4b17_branch2a" + name: "res4b17_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b17_branch2a" + top: "res4b17_branch2b" + name: "res4b17_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b17_branch2b" + top: "res4b17_branch2b" + name: "bn4b17_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b17_branch2b" + top: "res4b17_branch2b" + name: "scale4b17_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b17_branch2b" + bottom: "res4b17_branch2b" + name: "res4b17_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b17_branch2b" + top: "res4b17_branch2c" + name: "res4b17_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b17_branch2c" + top: "res4b17_branch2c" + name: "bn4b17_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b17_branch2c" + top: "res4b17_branch2c" + name: "scale4b17_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b16" + bottom: "res4b17_branch2c" + top: "res4b17" + name: "res4b17" + type: "Eltwise" +} + +layer { + bottom: "res4b17" + top: "res4b17" + name: "res4b17_relu" + type: "ReLU" +} + +layer { + bottom: "res4b17" + top: "res4b18_branch2a" + name: "res4b18_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b18_branch2a" + top: "res4b18_branch2a" + name: "bn4b18_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b18_branch2a" + top: "res4b18_branch2a" + name: "scale4b18_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b18_branch2a" + bottom: "res4b18_branch2a" + name: "res4b18_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b18_branch2a" + top: "res4b18_branch2b" + name: "res4b18_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b18_branch2b" + top: "res4b18_branch2b" + name: "bn4b18_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b18_branch2b" + top: "res4b18_branch2b" + name: "scale4b18_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b18_branch2b" + bottom: "res4b18_branch2b" + name: "res4b18_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b18_branch2b" + top: "res4b18_branch2c" + name: "res4b18_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b18_branch2c" + top: "res4b18_branch2c" + name: "bn4b18_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b18_branch2c" + top: "res4b18_branch2c" + name: "scale4b18_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b17" + bottom: "res4b18_branch2c" + top: "res4b18" + name: "res4b18" + type: "Eltwise" +} + +layer { + bottom: "res4b18" + top: "res4b18" + name: "res4b18_relu" + type: "ReLU" +} + +layer { + bottom: "res4b18" + top: "res4b19_branch2a" + name: "res4b19_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b19_branch2a" + top: "res4b19_branch2a" + name: "bn4b19_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b19_branch2a" + top: "res4b19_branch2a" + name: "scale4b19_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b19_branch2a" + bottom: "res4b19_branch2a" + name: "res4b19_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b19_branch2a" + top: "res4b19_branch2b" + name: "res4b19_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b19_branch2b" + top: "res4b19_branch2b" + name: "bn4b19_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b19_branch2b" + top: "res4b19_branch2b" + name: "scale4b19_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b19_branch2b" + bottom: "res4b19_branch2b" + name: "res4b19_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b19_branch2b" + top: "res4b19_branch2c" + name: "res4b19_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b19_branch2c" + top: "res4b19_branch2c" + name: "bn4b19_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b19_branch2c" + top: "res4b19_branch2c" + name: "scale4b19_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b18" + bottom: "res4b19_branch2c" + top: "res4b19" + name: "res4b19" + type: "Eltwise" +} + +layer { + bottom: "res4b19" + top: "res4b19" + name: "res4b19_relu" + type: "ReLU" +} + +layer { + bottom: "res4b19" + top: "res4b20_branch2a" + name: "res4b20_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b20_branch2a" + top: "res4b20_branch2a" + name: "bn4b20_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b20_branch2a" + top: "res4b20_branch2a" + name: "scale4b20_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b20_branch2a" + bottom: "res4b20_branch2a" + name: "res4b20_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b20_branch2a" + top: "res4b20_branch2b" + name: "res4b20_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b20_branch2b" + top: "res4b20_branch2b" + name: "bn4b20_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b20_branch2b" + top: "res4b20_branch2b" + name: "scale4b20_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b20_branch2b" + bottom: "res4b20_branch2b" + name: "res4b20_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b20_branch2b" + top: "res4b20_branch2c" + name: "res4b20_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b20_branch2c" + top: "res4b20_branch2c" + name: "bn4b20_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b20_branch2c" + top: "res4b20_branch2c" + name: "scale4b20_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b19" + bottom: "res4b20_branch2c" + top: "res4b20" + name: "res4b20" + type: "Eltwise" +} + +layer { + bottom: "res4b20" + top: "res4b20" + name: "res4b20_relu" + type: "ReLU" +} + +layer { + bottom: "res4b20" + top: "res4b21_branch2a" + name: "res4b21_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b21_branch2a" + top: "res4b21_branch2a" + name: "bn4b21_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b21_branch2a" + top: "res4b21_branch2a" + name: "scale4b21_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b21_branch2a" + bottom: "res4b21_branch2a" + name: "res4b21_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b21_branch2a" + top: "res4b21_branch2b" + name: "res4b21_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b21_branch2b" + top: "res4b21_branch2b" + name: "bn4b21_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b21_branch2b" + top: "res4b21_branch2b" + name: "scale4b21_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b21_branch2b" + bottom: "res4b21_branch2b" + name: "res4b21_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b21_branch2b" + top: "res4b21_branch2c" + name: "res4b21_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b21_branch2c" + top: "res4b21_branch2c" + name: "bn4b21_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b21_branch2c" + top: "res4b21_branch2c" + name: "scale4b21_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b20" + bottom: "res4b21_branch2c" + top: "res4b21" + name: "res4b21" + type: "Eltwise" +} + +layer { + bottom: "res4b21" + top: "res4b21" + name: "res4b21_relu" + type: "ReLU" +} + +layer { + bottom: "res4b21" + top: "res4b22_branch2a" + name: "res4b22_branch2a" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b22_branch2a" + top: "res4b22_branch2a" + name: "bn4b22_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b22_branch2a" + top: "res4b22_branch2a" + name: "scale4b22_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b22_branch2a" + bottom: "res4b22_branch2a" + name: "res4b22_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res4b22_branch2a" + top: "res4b22_branch2b" + name: "res4b22_branch2b" + type: "Convolution" + convolution_param { + num_output: 256 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b22_branch2b" + top: "res4b22_branch2b" + name: "bn4b22_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b22_branch2b" + top: "res4b22_branch2b" + name: "scale4b22_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res4b22_branch2b" + bottom: "res4b22_branch2b" + name: "res4b22_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res4b22_branch2b" + top: "res4b22_branch2c" + name: "res4b22_branch2c" + type: "Convolution" + convolution_param { + num_output: 1024 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res4b22_branch2c" + top: "res4b22_branch2c" + name: "bn4b22_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res4b22_branch2c" + top: "res4b22_branch2c" + name: "scale4b22_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b21" + bottom: "res4b22_branch2c" + top: "res4b22" + name: "res4b22" + type: "Eltwise" +} + +layer { + bottom: "res4b22" + top: "res4b22" + name: "res4b22_relu" + type: "ReLU" +} + +layer { + bottom: "res4b22" + top: "res5a_branch1" + name: "res5a_branch1" + type: "Convolution" + convolution_param { + num_output: 2048 + kernel_size: 1 + pad: 0 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5a_branch1" + top: "res5a_branch1" + name: "bn5a_branch1" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5a_branch1" + top: "res5a_branch1" + name: "scale5a_branch1" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res4b22" + top: "res5a_branch2a" + name: "res5a_branch2a" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 2 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5a_branch2a" + top: "res5a_branch2a" + name: "bn5a_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5a_branch2a" + top: "res5a_branch2a" + name: "scale5a_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res5a_branch2a" + bottom: "res5a_branch2a" + name: "res5a_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res5a_branch2a" + top: "res5a_branch2b" + name: "res5a_branch2b" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5a_branch2b" + top: "res5a_branch2b" + name: "bn5a_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5a_branch2b" + top: "res5a_branch2b" + name: "scale5a_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res5a_branch2b" + bottom: "res5a_branch2b" + name: "res5a_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res5a_branch2b" + top: "res5a_branch2c" + name: "res5a_branch2c" + type: "Convolution" + convolution_param { + num_output: 2048 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5a_branch2c" + top: "res5a_branch2c" + name: "bn5a_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5a_branch2c" + top: "res5a_branch2c" + name: "scale5a_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res5a_branch1" + bottom: "res5a_branch2c" + top: "res5a" + name: "res5a" + type: "Eltwise" +} + +layer { + bottom: "res5a" + top: "res5a" + name: "res5a_relu" + type: "ReLU" +} + +layer { + bottom: "res5a" + top: "res5b_branch2a" + name: "res5b_branch2a" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5b_branch2a" + top: "res5b_branch2a" + name: "bn5b_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5b_branch2a" + top: "res5b_branch2a" + name: "scale5b_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res5b_branch2a" + bottom: "res5b_branch2a" + name: "res5b_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res5b_branch2a" + top: "res5b_branch2b" + name: "res5b_branch2b" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5b_branch2b" + top: "res5b_branch2b" + name: "bn5b_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5b_branch2b" + top: "res5b_branch2b" + name: "scale5b_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res5b_branch2b" + bottom: "res5b_branch2b" + name: "res5b_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res5b_branch2b" + top: "res5b_branch2c" + name: "res5b_branch2c" + type: "Convolution" + convolution_param { + num_output: 2048 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5b_branch2c" + top: "res5b_branch2c" + name: "bn5b_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5b_branch2c" + top: "res5b_branch2c" + name: "scale5b_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res5a" + bottom: "res5b_branch2c" + top: "res5b" + name: "res5b" + type: "Eltwise" +} + +layer { + bottom: "res5b" + top: "res5b" + name: "res5b_relu" + type: "ReLU" +} + +layer { + bottom: "res5b" + top: "res5c_branch2a" + name: "res5c_branch2a" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5c_branch2a" + top: "res5c_branch2a" + name: "bn5c_branch2a" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5c_branch2a" + top: "res5c_branch2a" + name: "scale5c_branch2a" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res5c_branch2a" + bottom: "res5c_branch2a" + name: "res5c_branch2a_relu" + type: "ReLU" +} + +layer { + bottom: "res5c_branch2a" + top: "res5c_branch2b" + name: "res5c_branch2b" + type: "Convolution" + convolution_param { + num_output: 512 + kernel_size: 3 + pad: 1 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5c_branch2b" + top: "res5c_branch2b" + name: "bn5c_branch2b" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5c_branch2b" + top: "res5c_branch2b" + name: "scale5c_branch2b" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + top: "res5c_branch2b" + bottom: "res5c_branch2b" + name: "res5c_branch2b_relu" + type: "ReLU" +} + +layer { + bottom: "res5c_branch2b" + top: "res5c_branch2c" + name: "res5c_branch2c" + type: "Convolution" + convolution_param { + num_output: 2048 + kernel_size: 1 + pad: 0 + stride: 1 + bias_term: false + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0.2 + } + } +} + +layer { + bottom: "res5c_branch2c" + top: "res5c_branch2c" + name: "bn5c_branch2c" + type: "BatchNorm" + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + param { + lr_mult: 0 + } + batch_norm_param { + use_global_stats: true + moving_average_fraction: 0.999 + } +} + +layer { + bottom: "res5c_branch2c" + top: "res5c_branch2c" + name: "scale5c_branch2c" + type: "Scale" + scale_param { + bias_term: true + } +} + +layer { + bottom: "res5b" + bottom: "res5c_branch2c" + top: "res5c" + name: "res5c" + type: "Eltwise" +} + +layer { + bottom: "res5c" + top: "res5c" + name: "res5c_relu" + type: "ReLU" +} + +layer { + bottom: "res5c" + top: "pool5" + name: "pool5" + type: "Pooling" + pooling_param { + kernel_size: 7 + stride: 1 + pool: AVE + } +} +layer { + bottom: "pool5" + top: "fc_ftnew" + name: "fc_ftnew" + type: "InnerProduct" + inner_product_param { + num_output: 198 + } +} diff --git a/24-07/caffe/deploy/45-cascadedfcn_step1.prototxt b/24-07/caffe/deploy/45-cascadedfcn_step1.prototxt new file mode 100644 index 0000000..f37d80d --- /dev/null +++ b/24-07/caffe/deploy/45-cascadedfcn_step1.prototxt @@ -0,0 +1,834 @@ +name: "phseg_v5" +force_backward: true + + +input: "data" +input_dim:1 +input_dim:1 +input_dim:572 +input_dim:572 + +layer { + name: "conv_d0a-b" + type: "Convolution" + bottom: "data" + top: "d0b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d0b" + type: "ReLU" + bottom: "d0b" + top: "d0b" +} +layer { + name: "conv_d0b-c" + type: "Convolution" + bottom: "d0b" + top: "d0c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d0c" + type: "ReLU" + bottom: "d0c" + top: "d0c" +} +layer { + name: "pool_d0c-1a" + type: "Pooling" + bottom: "d0c" + top: "d1a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d1a-b" + type: "Convolution" + bottom: "d1a" + top: "d1b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d1b" + type: "ReLU" + bottom: "d1b" + top: "d1b" +} +layer { + name: "conv_d1b-c" + type: "Convolution" + bottom: "d1b" + top: "d1c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d1c" + type: "ReLU" + bottom: "d1c" + top: "d1c" +} +layer { + name: "pool_d1c-2a" + type: "Pooling" + bottom: "d1c" + top: "d2a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d2a-b" + type: "Convolution" + bottom: "d2a" + top: "d2b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + + +layer { + name: "relu_d2b" + type: "ReLU" + bottom: "d2b" + top: "d2b" +} +layer { + name: "conv_d2b-c" + type: "Convolution" + bottom: "d2b" + top: "d2c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d2c" + type: "ReLU" + bottom: "d2c" + top: "d2c" +} +layer { + name: "pool_d2c-3a" + type: "Pooling" + bottom: "d2c" + top: "d3a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d3a-b" + type: "Convolution" + bottom: "d3a" + top: "d3b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d3b" + type: "ReLU" + bottom: "d3b" + top: "d3b" +} +layer { + name: "conv_d3b-c" + type: "Convolution" + bottom: "d3b" + top: "d3c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d3c" + type: "ReLU" + bottom: "d3c" + top: "d3c" +} + + + + +layer { + name: "pool_d3c-4a" + type: "Pooling" + bottom: "d3c" + top: "d4a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d4a-b" + type: "Convolution" + bottom: "d4a" + top: "d4b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 1024 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d4b" + type: "ReLU" + bottom: "d4b" + top: "d4b" +} +layer { + name: "conv_d4b-c" + type: "Convolution" + bottom: "d4b" + top: "d4c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 1024 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d4c" + type: "ReLU" + bottom: "d4c" + top: "d4c" +} + + +layer { + name: "upconv_d4c_u3a" + type: "Deconvolution" + bottom: "d4c" + top: "u3a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} + + + + +layer { + name: "relu_u3a" + type: "ReLU" + bottom: "u3a" + top: "u3a" +} +layer { + name: "crop_d3c-d3cc" + type: "Crop" + bottom: "d3c" + bottom: "u3a" + top: "d3cc" + +} +layer { + name: "concat_d3cc_u3a-b" + type: "Concat" + bottom: "u3a" + bottom: "d3cc" + top: "u3b" +} +layer { + name: "conv_u3b-c" + type: "Convolution" + bottom: "u3b" + top: "u3c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u3c" + type: "ReLU" + bottom: "u3c" + top: "u3c" +} +layer { + name: "conv_u3c-d" + type: "Convolution" + bottom: "u3c" + top: "u3d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u3d" + type: "ReLU" + bottom: "u3d" + top: "u3d" +} +layer { + name: "upconv_u3d_u2a" + type: "Deconvolution" + bottom: "u3d" + top: "u2a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} +layer { + name: "relu_u2a" + type: "ReLU" + bottom: "u2a" + top: "u2a" +} +layer { + name: "crop_d2c-d2cc" + type: "Crop" + bottom: "d2c" + bottom: "u2a" + top: "d2cc" + +} +layer { + name: "concat_d2cc_u2a-b" + type: "Concat" + bottom: "u2a" + bottom: "d2cc" + top: "u2b" +} +layer { + name: "conv_u2b-c" + type: "Convolution" + bottom: "u2b" + top: "u2c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u2c" + type: "ReLU" + bottom: "u2c" + top: "u2c" +} +layer { + name: "conv_u2c-d" + type: "Convolution" + bottom: "u2c" + top: "u2d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u2d" + type: "ReLU" + bottom: "u2d" + top: "u2d" +} +layer { + name: "upconv_u2d_u1a" + type: "Deconvolution" + bottom: "u2d" + top: "u1a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} +layer { + name: "relu_u1a" + type: "ReLU" + bottom: "u1a" + top: "u1a" +} +layer { + name: "crop_d1c-d1cc" + type: "Crop" + bottom: "d1c" + bottom: "u1a" + top: "d1cc" + +} +layer { + name: "concat_d1cc_u1a-b" + type: "Concat" + bottom: "u1a" + bottom: "d1cc" + top: "u1b" +} +layer { + name: "conv_u1b-c" + type: "Convolution" + bottom: "u1b" + top: "u1c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u1c" + type: "ReLU" + bottom: "u1c" + top: "u1c" +} +layer { + name: "conv_u1c-d" + type: "Convolution" + bottom: "u1c" + top: "u1d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u1d" + type: "ReLU" + bottom: "u1d" + top: "u1d" +} +layer { + name: "upconv_u1d_u0a_NEW" + type: "Deconvolution" + bottom: "u1d" + top: "u0a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} +layer { + name: "relu_u0a" + type: "ReLU" + bottom: "u0a" + top: "u0a" +} +layer { + name: "crop_d0c-d0cc" + type: "Crop" + bottom: "d0c" + bottom: "u0a" + top: "d0cc" + +} +layer { + name: "concat_d0cc_u0a-b" + type: "Concat" + bottom: "u0a" + bottom: "d0cc" + top: "u0b" +} +layer { + name: "conv_u0b-c_New" + type: "Convolution" + bottom: "u0b" + top: "u0c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u0c" + type: "ReLU" + bottom: "u0c" + top: "u0c" +} +layer { + name: "conv_u0c-d_New" + type: "Convolution" + bottom: "u0c" + top: "u0d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u0d" + type: "ReLU" + bottom: "u0d" + top: "u0d" +} +layer { + name: "conv_u0d-score_New" + type: "Convolution" + bottom: "u0d" + top: "score" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 2 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + +layer { + name: "prob" + type: "Softmax" + bottom: "score" + top: "prob" + include { + phase: TEST + } +} + + diff --git a/24-07/caffe/deploy/46-cascadedfcn_step2.prototxt b/24-07/caffe/deploy/46-cascadedfcn_step2.prototxt new file mode 100644 index 0000000..af088ab --- /dev/null +++ b/24-07/caffe/deploy/46-cascadedfcn_step2.prototxt @@ -0,0 +1,833 @@ +name: "phseg_v5" +force_backward: true + + +input: "data" +input_dim:1 +input_dim:1 +input_dim:572 +input_dim:572 + +layer { + name: "conv_d0a-b" + type: "Convolution" + bottom: "data" + top: "d0b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d0b" + type: "ReLU" + bottom: "d0b" + top: "d0b" +} +layer { + name: "conv_d0b-c" + type: "Convolution" + bottom: "d0b" + top: "d0c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d0c" + type: "ReLU" + bottom: "d0c" + top: "d0c" +} +layer { + name: "pool_d0c-1a" + type: "Pooling" + bottom: "d0c" + top: "d1a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d1a-b" + type: "Convolution" + bottom: "d1a" + top: "d1b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d1b" + type: "ReLU" + bottom: "d1b" + top: "d1b" +} +layer { + name: "conv_d1b-c" + type: "Convolution" + bottom: "d1b" + top: "d1c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + +layer { + name: "relu_d1c" + type: "ReLU" + bottom: "d1c" + top: "d1c" +} +layer { + name: "pool_d1c-2a" + type: "Pooling" + bottom: "d1c" + top: "d2a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d2a-b" + type: "Convolution" + bottom: "d2a" + top: "d2b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d2b" + type: "ReLU" + bottom: "d2b" + top: "d2b" +} +layer { + name: "conv_d2b-c" + type: "Convolution" + bottom: "d2b" + top: "d2c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d2c" + type: "ReLU" + bottom: "d2c" + top: "d2c" +} +layer { + name: "pool_d2c-3a" + type: "Pooling" + bottom: "d2c" + top: "d3a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d3a-b" + type: "Convolution" + bottom: "d3a" + top: "d3b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d3b" + type: "ReLU" + bottom: "d3b" + top: "d3b" +} +layer { + name: "conv_d3b-c" + type: "Convolution" + bottom: "d3b" + top: "d3c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d3c" + type: "ReLU" + bottom: "d3c" + top: "d3c" +} + + + + +layer { + name: "pool_d3c-4a" + type: "Pooling" + bottom: "d3c" + top: "d4a" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + name: "conv_d4a-b" + type: "Convolution" + bottom: "d4a" + top: "d4b" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 1024 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d4b" + type: "ReLU" + bottom: "d4b" + top: "d4b" +} +layer { + name: "conv_d4b-c" + type: "Convolution" + bottom: "d4b" + top: "d4c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 1024 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + + + + +layer { + name: "relu_d4c" + type: "ReLU" + bottom: "d4c" + top: "d4c" +} + + +layer { + name: "upconv_d4c_u3a" + type: "Deconvolution" + bottom: "d4c" + top: "u3a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} + + + + +layer { + name: "relu_u3a" + type: "ReLU" + bottom: "u3a" + top: "u3a" +} +layer { + name: "crop_d3c-d3cc" + type: "Crop" + bottom: "d3c" + bottom: "u3a" + top: "d3cc" + +} +layer { + name: "concat_d3cc_u3a-b" + type: "Concat" + bottom: "u3a" + bottom: "d3cc" + top: "u3b" +} +layer { + name: "conv_u3b-c" + type: "Convolution" + bottom: "u3b" + top: "u3c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u3c" + type: "ReLU" + bottom: "u3c" + top: "u3c" +} +layer { + name: "conv_u3c-d" + type: "Convolution" + bottom: "u3c" + top: "u3d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 512 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u3d" + type: "ReLU" + bottom: "u3d" + top: "u3d" +} +layer { + name: "upconv_u3d_u2a" + type: "Deconvolution" + bottom: "u3d" + top: "u2a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} +layer { + name: "relu_u2a" + type: "ReLU" + bottom: "u2a" + top: "u2a" +} +layer { + name: "crop_d2c-d2cc" + type: "Crop" + bottom: "d2c" + bottom: "u2a" + top: "d2cc" + +} +layer { + name: "concat_d2cc_u2a-b" + type: "Concat" + bottom: "u2a" + bottom: "d2cc" + top: "u2b" +} +layer { + name: "conv_u2b-c" + type: "Convolution" + bottom: "u2b" + top: "u2c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u2c" + type: "ReLU" + bottom: "u2c" + top: "u2c" +} +layer { + name: "conv_u2c-d" + type: "Convolution" + bottom: "u2c" + top: "u2d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 256 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u2d" + type: "ReLU" + bottom: "u2d" + top: "u2d" +} +layer { + name: "upconv_u2d_u1a" + type: "Deconvolution" + bottom: "u2d" + top: "u1a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} +layer { + name: "relu_u1a" + type: "ReLU" + bottom: "u1a" + top: "u1a" +} +layer { + name: "crop_d1c-d1cc" + type: "Crop" + bottom: "d1c" + bottom: "u1a" + top: "d1cc" + +} +layer { + name: "concat_d1cc_u1a-b" + type: "Concat" + bottom: "u1a" + bottom: "d1cc" + top: "u1b" +} +layer { + name: "conv_u1b-c" + type: "Convolution" + bottom: "u1b" + top: "u1c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u1c" + type: "ReLU" + bottom: "u1c" + top: "u1c" +} +layer { + name: "conv_u1c-d" + type: "Convolution" + bottom: "u1c" + top: "u1d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 128 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u1d" + type: "ReLU" + bottom: "u1d" + top: "u1d" +} +layer { + name: "upconv_u1d_u0a_NEW" + type: "Deconvolution" + bottom: "u1d" + top: "u0a" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 2 + stride: 2 + weight_filler { + type: "xavier" + } + } +} +layer { + name: "relu_u0a" + type: "ReLU" + bottom: "u0a" + top: "u0a" +} +layer { + name: "crop_d0c-d0cc" + type: "Crop" + bottom: "d0c" + bottom: "u0a" + top: "d0cc" + +} +layer { + name: "concat_d0cc_u0a-b" + type: "Concat" + bottom: "u0a" + bottom: "d0cc" + top: "u0b" +} +layer { + name: "conv_u0b-c_New" + type: "Convolution" + bottom: "u0b" + top: "u0c" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u0c" + type: "ReLU" + bottom: "u0c" + top: "u0c" +} +layer { + name: "conv_u0c-d_New" + type: "Convolution" + bottom: "u0c" + top: "u0d" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 64 + pad: 0 + kernel_size: 3 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} +layer { + name: "relu_u0d" + type: "ReLU" + bottom: "u0d" + top: "u0d" +} +layer { + name: "conv_u0d-score_New" + type: "Convolution" + bottom: "u0d" + top: "score" + param { + lr_mult: 1 + decay_mult: 1 + } + param { + lr_mult: 2 + decay_mult: 0 + } + convolution_param { + num_output: 2 + pad: 0 + kernel_size: 1 + weight_filler { + type: "xavier" + } + engine: CAFFE + } +} + +layer { + name: "prob" + type: "Softmax" + bottom: "score" + top: "prob" + include { + phase: TEST + } +} + + diff --git a/24-07/caffe/deploy/47-ALL_CNN_C_train_val.prototxt b/24-07/caffe/deploy/47-ALL_CNN_C_train_val.prototxt new file mode 100644 index 0000000..842ebd9 --- /dev/null +++ b/24-07/caffe/deploy/47-ALL_CNN_C_train_val.prototxt @@ -0,0 +1,358 @@ +name: "ALL-CNN-C" +layer { + name: "data" + type: "Data" + top: "data" + top: "label" + include { + phase: TRAIN + } + data_param { + # path to GCN preprocessed and ZCA whitened cifar-10 train data + source: "cifar-10_train_lmdb" + batch_size: 256 + backend: LMDB + } +} +layer { + name: "data" + type: "Data" + top: "data" + top: "label" + include { + phase: TEST + } + data_param { + # path to GCN preprocessed and ZCA whitened cifar-10 test data + source: "cifar-10_test_lmdb" + batch_size: 200 + backend: LMDB + } +} +layer { + name: "drop1" + type: "Dropout" + bottom: "data" + top: "data" + dropout_param { + dropout_ratio: 0.2 + } +} +layer { + name: "conv1" + type: "Convolution" + bottom: "data" + top: "conv1" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 96 + kernel_size: 3 + pad: 1 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu1" + type: "ReLU" + bottom: "conv1" + top: "conv1" +} +layer { + name: "conv2" + type: "Convolution" + bottom: "conv1" + top: "conv2" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 96 + kernel_size: 3 + pad: 1 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu2" + type: "ReLU" + bottom: "conv2" + top: "conv2" +} +layer { + name: "conv3" + type: "Convolution" + bottom: "conv2" + top: "conv3" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 96 + kernel_size: 3 + pad: 1 + stride: 2 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu3" + type: "ReLU" + bottom: "conv3" + top: "conv3" +} +layer { + name: "drop2" + type: "Dropout" + bottom: "conv3" + top: "conv3" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + name: "conv4" + type: "Convolution" + bottom: "conv3" + top: "conv4" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 192 + kernel_size: 3 + pad: 1 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu4" + type: "ReLU" + bottom: "conv4" + top: "conv4" +} +layer { + name: "conv5" + type: "Convolution" + bottom: "conv4" + top: "conv5" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 192 + kernel_size: 3 + pad: 1 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu5" + type: "ReLU" + bottom: "conv5" + top: "conv5" +} +layer { + name: "conv6" + type: "Convolution" + bottom: "conv5" + top: "conv6" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 192 + kernel_size: 3 + pad: 1 + stride: 2 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu6" + type: "ReLU" + bottom: "conv6" + top: "conv6" +} +layer { + name: "drop3" + type: "Dropout" + bottom: "conv6" + top: "conv6" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + name: "conv7" + type: "Convolution" + bottom: "conv6" + top: "conv7" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 192 + kernel_size: 3 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu7" + type: "ReLU" + bottom: "conv7" + top: "conv7" +} +layer { + name: "conv8" + type: "Convolution" + bottom: "conv7" + top: "conv8" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 192 + kernel_size: 1 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu8" + type: "ReLU" + bottom: "conv8" + top: "conv8" +} +layer { + name: "conv9" + type: "Convolution" + bottom: "conv8" + top: "conv9" + param { + lr_mult: 1 + } + param { + lr_mult: 1 + } + convolution_param { + num_output: 10 + kernel_size: 1 + stride: 1 + weight_filler { + type: "xavier" + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layer { + name: "relu9" + type: "ReLU" + bottom: "conv9" + top: "conv9" +} +layer { + name: "pool" + type: "Pooling" + bottom: "conv9" + top: "pool" + pooling_param { + pool: AVE + global_pooling: true + } +} +layer { + name: "accuracy" + type: "Accuracy" + bottom: "pool" + bottom: "label" + top: "accuracy" +} +layer { + name: "loss" + type: "SoftmaxWithLoss" + bottom: "pool" + bottom: "label" + top: "loss" +} \ No newline at end of file diff --git a/24-07/caffe/deploy/48-channel_pruning_VGG-16_3C4x.prototxt b/24-07/caffe/deploy/48-channel_pruning_VGG-16_3C4x.prototxt new file mode 100644 index 0000000..649e51e --- /dev/null +++ b/24-07/caffe/deploy/48-channel_pruning_VGG-16_3C4x.prototxt @@ -0,0 +1,339 @@ +name: "VGG_ILSVRC_16_layers" +input: "data" +input_dim: 10 +input_dim: 3 +input_dim: 224 +input_dim: 224 +layer { + bottom: "data" + top: "conv1_1" + name: "conv1_1" + type: "Convolution" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv1_1" + top: "conv1_1" + name: "relu1_1" + type: "ReLU" +} +layer { + bottom: "conv1_1" + top: "conv1_2" + name: "conv1_2" + type: "Convolution" + convolution_param { + num_output: 64 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv1_2" + top: "conv1_2" + name: "relu1_2" + type: "ReLU" +} +layer { + bottom: "conv1_2" + top: "pool1" + name: "pool1" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool1" + top: "conv2_1" + name: "conv2_1" + type: "Convolution" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv2_1" + top: "conv2_1" + name: "relu2_1" + type: "ReLU" +} +layer { + bottom: "conv2_1" + top: "conv2_2" + name: "conv2_2" + type: "Convolution" + convolution_param { + num_output: 128 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv2_2" + top: "conv2_2" + name: "relu2_2" + type: "ReLU" +} +layer { + bottom: "conv2_2" + top: "pool2" + name: "pool2" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool2" + top: "conv3_1" + name: "conv3_1" + type: "Convolution" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv3_1" + top: "conv3_1" + name: "relu3_1" + type: "ReLU" +} +layer { + bottom: "conv3_1" + top: "conv3_2" + name: "conv3_2" + type: "Convolution" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv3_2" + top: "conv3_2" + name: "relu3_2" + type: "ReLU" +} +layer { + bottom: "conv3_2" + top: "conv3_3" + name: "conv3_3" + type: "Convolution" + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv3_3" + top: "conv3_3" + name: "relu3_3" + type: "ReLU" +} +layer { + bottom: "conv3_3" + top: "pool3" + name: "pool3" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool3" + top: "conv4_1" + name: "conv4_1" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv4_1" + top: "conv4_1" + name: "relu4_1" + type: "ReLU" +} +layer { + bottom: "conv4_1" + top: "conv4_2" + name: "conv4_2" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv4_2" + top: "conv4_2" + name: "relu4_2" + type: "ReLU" +} +layer { + bottom: "conv4_2" + top: "conv4_3" + name: "conv4_3" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv4_3" + top: "conv4_3" + name: "relu4_3" + type: "ReLU" +} +layer { + bottom: "conv4_3" + top: "pool4" + name: "pool4" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool4" + top: "conv5_1" + name: "conv5_1" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv5_1" + top: "conv5_1" + name: "relu5_1" + type: "ReLU" +} +layer { + bottom: "conv5_1" + top: "conv5_2" + name: "conv5_2" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv5_2" + top: "conv5_2" + name: "relu5_2" + type: "ReLU" +} +layer { + bottom: "conv5_2" + top: "conv5_3" + name: "conv5_3" + type: "Convolution" + convolution_param { + num_output: 512 + pad: 1 + kernel_size: 3 + } +} +layer { + bottom: "conv5_3" + top: "conv5_3" + name: "relu5_3" + type: "ReLU" +} +layer { + bottom: "conv5_3" + top: "pool5" + name: "pool5" + type: "Pooling" + pooling_param { + pool: MAX + kernel_size: 2 + stride: 2 + } +} +layer { + bottom: "pool5" + top: "fc6" + name: "fc6" + type: "InnerProduct" + inner_product_param { + num_output: 4096 + } +} +layer { + bottom: "fc6" + top: "fc6" + name: "relu6" + type: "ReLU" +} +layer { + bottom: "fc6" + top: "fc6" + name: "drop6" + type: "Dropout" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + bottom: "fc6" + top: "fc7" + name: "fc7" + type: "InnerProduct" + inner_product_param { + num_output: 4096 + } +} +layer { + bottom: "fc7" + top: "fc7" + name: "relu7" + type: "ReLU" +} +layer { + bottom: "fc7" + top: "fc7" + name: "drop7" + type: "Dropout" + dropout_param { + dropout_ratio: 0.5 + } +} +layer { + bottom: "fc7" + top: "fc8" + name: "fc8" + type: "InnerProduct" + inner_product_param { + num_output: 1000 + } +} diff --git a/24-07/caffe/deploy/49-basic_16to66.prototxt b/24-07/caffe/deploy/49-basic_16to66.prototxt new file mode 100644 index 0000000..52cfa3d --- /dev/null +++ b/24-07/caffe/deploy/49-basic_16to66.prototxt @@ -0,0 +1,247 @@ +name: "CaffeNet" +input: "data" +input_dim: 1 +input_dim: 3 +input_dim: 227 +input_dim: 227 +layers { + name: "C1" + type: CONVOLUTION + bottom: "data" + top: "C1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 7 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "C1" + top: "C1" +} +layers { + name: "S2" + type: POOLING + bottom: "C1" + top: "S2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm2" + type: LRN + bottom: "S2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "C3" + type: CONVOLUTION + bottom: "norm2" + top: "C3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu3" + type: RELU + bottom: "C3" + top: "C3" +} +layers { + name: "S4" + type: POOLING + bottom: "C3" + top: "S4" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "norm4" + type: LRN + bottom: "S4" + top: "norm4" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "C5" + type: CONVOLUTION + bottom: "norm4" + top: "C5" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers{ + name: "relu5" + type: RELU + bottom: "C5" + top: "C5" +} +layers { + name: "S6" + type: POOLING + bottom: "C5" + top: "S6" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "F7" + type: INNER_PRODUCT + bottom: "S6" + top: "F7" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 512 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu7" + type: RELU + bottom: "F7" + top: "F7" +} +layers { + name: "drop7" + type: DROPOUT + bottom: "F7" + top: "F7" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "F8" + type: INNER_PRODUCT + bottom: "F7" + top: "F8" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 512 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 1 + } + } +} +layers { + name: "relu8" + type: RELU + bottom: "F8" + top: "F8" +} +layers { + name: "drop8" + type: DROPOUT + bottom: "F8" + top: "F8" + dropout_param { + dropout_ratio: 0.5 + } +} +layers { + name: "F9bi" + type: INNER_PRODUCT + bottom: "F8" + top: "F9bi" + blobs_lr: 10 + blobs_lr: 20 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "prob" + type: SOFTMAX + bottom: "F9bi" + top: "prob" +}