Cross-ethnicity Face anti-spoofing Recognition Challenge

This our code for Chalearn Multi-modal Cross-ethnicity Face anti-spoofing Recognition Challenge@CVPR2020（Phase2）

Change datapath

change the train_path and test_path in /config/cfg.yaml

Train

Train

1. python train.py --protoal 4@1
2. python train.py --protoal 4@2
3. python train.py --protoal 4@3

Inference

dev

1. python get_final_squence.py --protoal 4@1 --which "dev"
2. python get_final_squence.py --protoal 4@2 --which "dev"
3. python get_final_squence.py --protoal 4@3 --which "dev"

test

1. python get_final_squence.py --protoal 4@1 
2. python get_final_squence.py --protoal 4@2
3. python get_final_squence.py --protoal 4@3

merge and submit

1. cd submission
2. python get_final.py
3. The output file named final.txt