Change the CAISIA_DATA_DIR and LFW_DATA_DAR in config.py to your data path.

Train the mobilefacenet model.

Note: The default settings set the batch size of 512, use 2 gpus and train the model on 70 epochs. You can change the settings in config.py

python3 train.py

Test the model on LFW.

Note: I have tested lfw_eval.py on the caffe model at SphereFace, it gets the same result.

python3 lfw_eval.py --resume --feature_save_dir

• --resume: path of saved model
• --feature_save_dir: path to save the extracted features (must be .mat file)