Face Recognition

Models

1. SphereFace with A-Softmax

• Review paper: link
• In this code, Two ways to implement a-softmax.
  • first: following the code of caffe what's wrote by paper author.
  • second: following paper in my understanding.
  • you can check it in models/margin_inner_product_layer.py

Environment

• MxNet v1.1.0 (Gluon)

Training

python training.py --input_paths=/your/data/path/10000_caffe_format.lst --working_root=/your/path/sphereface_mxnet --max_epoch=100 --img_size=112 --feature_dim=512 --label_num=10000 --process_num=15 --learning_rate=0.1 --model=SphereFaceNet --model_params='{"lamb_iter":0,"lamb_base":1000,"lamb_gamma":0.00001,"lamb_power":1,"lamb_min":500, "layer_type": "20layer"}' --try=0 --gpu_device=0,1,2,3 --batch_size=32

Testing

TODO

Other DL framework

• The PyTorch implementation to see here

References

• sphereface