conda env create -f environment.yml
conda activate zac2022

mkdir raw
mkdir train_video&&cd train_video
wget https://dl-challenge.zalo.ai/liveness-detection/train.zip

unzip train.zip
rm -rf train.zip
mv ./train/videos/*.mp4 .
mv ./train/label.csv ../raw
rm -rf train

cd ..
mkdir data&&cd data
wget https://dl-challenge.zalo.ai/liveness-detection/private_test.zip

unzip private_test.zip
rm -rf private_test.zip
mv ./private_test/videos/*.mp4 .
rm -rf private_test

cd ..
bash prepare_data.sh

python create_sample_sub.py

wget https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_1k_224_ema.pth -P weights
wget https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_1k_224.pth -P weights

bash scripts/train_convnext_xlarge_fold0.sh
bash scripts/train_convnext_xlarge_fold1.sh
bash scripts/train_convnext_xlarge_fold2.sh
bash scripts/train_convnext_xlarge_fold3.sh
bash scripts/train_convnext_xlarge_fold4.sh


bash scripts/train_convnext_large_fold0.sh
bash scripts/train_convnext_large_fold1.sh
bash scripts/train_convnext_large_fold2.sh

bash predict.sh

bash download_weights.sh
bash predict.sh