jx-zhong-for-academic-purpose / GCN-Anomaly-Detection

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
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Missing the Testing Codes? #20

Open fjchange opened 5 years ago

fjchange commented 5 years ago

It seems there are no testing code in the repo. The utils.py seems infered that you calculate all snippets. (e.g. C3D, video_length//16 snippets for each video, and use sigmoid to normalize the score ) Can you detail this part? The different post-processing method may influence the result.