This is the source code for my solution to the ChaLearn Face Anti-spoofing Attack Detection Challenge hosted by ChaLearn.
2019.3.10: code upload for submission.
- imgaug==0.2.6
- scikit-image==0.14.0
- scikit-learn==0.19.2
- tqdm==4.23.4
- torch==0.4.1
- torchvision==0.2.1
train model_A with color imgs， patch size 48：
CUDA_VISIBLE_DEVICES=0 python train_CyclicLR.py --model=model_A --image_mode=color --image_size=48
infer
CUDA_VISIBLE_DEVICES=0 python train_CyclicLR.py --mode=infer_test --model=model_A --image_mode=color --image_size=48
train model A fusion model with multi-modal imgs， patch size 48：
CUDA_VISIBLE_DEVICES=0 python train_Fusion_CyclicLR.py --model=model_A --image_size=48
infer
CUDA_VISIBLE_DEVICES=0 python train_Fusion_CyclicLR.py --mode=infer_test --model=model_A --image_size=48
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