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Update SSD ResNet34 backbone model links
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Signed-off-by: Abolfazl Shahbazi <[email protected]>
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ashahba committed May 24, 2021
1 parent 0f60627 commit e9851da
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8 changes: 4 additions & 4 deletions benchmarks/object_detection/tensorflow/ssd-resnet34/README.md
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Expand Up @@ -448,13 +448,13 @@ $ pushd $MODEL_WORK_DIR

3. To run training and achieve convergence, download the backbone model from the links below, then use the following command:

https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/checkpoint
https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/checkpoint

https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.data-00000-of-00001
https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.data-00000-of-00001

https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.index
https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.index

https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.meta
https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.meta

Place the above files in one directory, and pass that location below as --backbone-model.

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Expand Up @@ -72,10 +72,10 @@ You can optionally set the `MPI_NUM_PROCESSES` (defaults to 4).
```
export BACKBONE_MODEL_DIR="$(pwd)/backbone_model"
mkdir -p $BACKBONE_MODEL_DIR
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.meta
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.meta
export DATASET_DIR=<path to the COCO training data>
export OUTPUT_DIR=<directory where the log file and checkpoints will be written>
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Expand Up @@ -42,10 +42,10 @@ to 4 if it is not set.
```
export BACKBONE_MODEL_DIR="$(pwd)/backbone_model"
mkdir -p $BACKBONE_MODEL_DIR
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.meta
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.meta
export DATASET_DIR=<path to the COCO training data>
export OUTPUT_DIR=<directory where the log file and checkpoints will be written>
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Expand Up @@ -168,10 +168,10 @@ You can optionally set the `MPI_NUM_PROCESSES` (defaults to 4).
```
export BACKBONE_MODEL_DIR="$(pwd)/backbone_model"
mkdir -p $BACKBONE_MODEL_DIR
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.meta
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.meta
export DATASET_DIR=<path to the COCO training data>
export OUTPUT_DIR=<directory where the log file and checkpoints will be written>
Expand Down Expand Up @@ -240,10 +240,10 @@ to 4 if it is not set.
```
export BACKBONE_MODEL_DIR="$(pwd)/backbone_model"
mkdir -p $BACKBONE_MODEL_DIR
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/tf-perf-public/resnet34_ssd_checkpoint/model.ckpt-28152.meta
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/checkpoint
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.data-00000-of-00001
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.index
wget -P $BACKBONE_MODEL_DIR https://storage.googleapis.com/intel-optimized-tensorflow/models/ssd-backbone/model.ckpt-28152.meta
export DATASET_DIR=<path to the COCO training data>
export OUTPUT_DIR=<directory where the log file and checkpoints will be written>
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