What is FaceNet?
Link: CVPR 2015 FaceNet: A Unified Embedding for Face Recognition and Clustering
It is almost finished, but need further testing and bug fixing!!!
#####15.7.26
- add TripleLossLayer class in loss_layers.hpp // empty class for now
- add triplet_layer.cpp and triplet_layer.cu //emtpy files, to be updated
#####15.8.13
- add message TripleLossParameter in src/caffe/proto/caffe.proto
#####15.8.14
- implemented Forward_cpu, Backward_cpu, SetUpLayer in src/caffe/layers/triplet_layer.cpp
#####15.8.15
- implemented Forward_gpu, Backward_gpu in src/caffe/layers/triplet_layer.cu
- and can be compiled successfully
#####15.8.16
- need further testing & fix bugs
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.
Check out the project site for all the details like