cuitao111 / Jigsaw-VAD

Code for the paper entitled "Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles" (ECCV 2022)

Jigsaw-VAD

Official pytorch implementation for the paper entitled "Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles" (ECCV 2022)

Data Preparation

Please make sure that you have sufficient storage.

python gen_patches.py --dataset shanghaitech --phase test --filter_ratio 0.8 --sample_num 9

Dataset	# Patch (train)	# Patch (test)	filter ratio	sample num	storage
Ped2	27660	31925	0.5	7	20G
Avenue	96000	79988	0.8	7	58G
Shanghaitech	145766	130361	0.8	9	119G

Training

Train a model:

python main.py --dataset shanghaitech --val_step 100 --print_interval 20 --batch_size 192 --sample_num 9 --epochs 100 --static_threshold 0.2

Testing

python main.py --dataset shanghaitech --sample_num 9 --checkpoint xxx.pth