Awesome

Introduction

This is a repository of reproducing this paper: CVPR2017: Neural Aggregation Network for Video Face Recognition onTensorflow platform.

src/extract_feature.py this python file extract feature using sphereface model and save it into .mat file.

src/data.py load the feature and generate a batch for network training.

src/crop-alignment.py detect the face and align it and save the face on disk.

src/network.py the aggregation network which consists of two attention modules.

src/log this is a directory that save the training loss and training accuracy by tf.summary

src/model this is the model file of network.

updating.