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💻 Code for Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection

teaser image

teaser image

Data Preparetion

We extract poses in ShanghaiTech in the same way as GEPC. As for Corridor, we adopt the same methods mentioned here. Once poses have been downloaded or extracted, change the data path in src/datasets/dataset_path.py to train or test models.

Train model

For ShanghaiTech

python train_test.py --exp_name ShanghaiTech_AlphaPose_train --dataset ShanghaiTech_AlphaPose

For Corridor

python train_test.py --exp_name Corridor_train --dataset Corridor

Test model

For ShanghaiTech

python train_test.py --exp_name ShanghaiTech_AlphaPose_test --dataset ShanghaiTech_AlphaPose --inference True --model_path your_path_to_model

For Corridor

python train_test.py --exp_name Corridor_test --dataset Corridor --inference True --model_path your_path_to_model

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[TCSVT] Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection

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