Reference： https://github.com/tianyu0207/RTFM https://pytorchvideo.org/docs/tutorial_torchhub_inference
wget -c https://dl.fbaipublicfiles.com/pytorchvideo/projects/archery.mp4
Website: https://www.crcv.ucf.edu/projects/real-world/
The downloaded dataset is shown below:
├── Anomaly_Train.txt
├── Anomaly-Videos-Part-1.zip
├── Anomaly-Videos-Part-2.zip
├── Anomaly-Videos-Part-3.zip
├── Anomaly-Videos-Part-4.zip
├── config.yaml
├── Normal_Videos_for_Event_Recognition.zip
├── ReadMe-Anomaly-Detection.txt
├── Temporal_Anomaly_Annotation_for_Testing_Videos.txt
├── Testing_Normal_Videos.zip
├── Training-Normal-Videos-Part-1.zip
├── Training-Normal-Videos-Part-2.zip
└── UCF_Crimes-Train-Test-Split.zip
After deleting Normal_Videos_for_Event_Recognition.zip, unzip all the files and organize them, the directory tree is as follows:
.
├── Anomaly_Detection_splits
├── Anomaly_Train.txt
├── Anomaly-Videos-Part-1
├── Anomaly-Videos-Part-2
├── Anomaly-Videos-Part-3
├── Anomaly-Videos-Part-4
├── Temporal_Anomaly_Annotation_for_Testing_Videos.txt
├── Testing_Normal_Videos_Anomaly
├── Training-Normal-Videos-Part-1
└── Training-Normal-Videos-Part-2
Anomaly-Videos-Part-{1..4} is the abnormal dataset, which contains 950 anomaly videos.
Anomaly_Train.txt : Division of the training set of anomalous videos.
Temporal_Anomaly_Annotation_for_Testing_Videos.txt : Division of abnormal video testing set.
Testing_Normal_Videos_Anomaly, Training-Normal-Videos-Part-1, and Training-Normal-Videos-Part-2 are the abnormal dataset, which contains 950 normal videos. The training and test datasets have been divided.
python main.py
├── Abuse
├── Arrest
├── Arson
├── Assault
├── Burglary
├── Explosion
├── Fighting
├── RoadAccidents
├── Robbery
├── Shooting
├── Shoplifting
├── Stealing
├── Testing_Normal_Videos_Anomaly
├── Training-Normal-Videos-Part-1
├── Training-Normal-Videos-Part-2
└── Vandalism
Merge Testing_Normal_Videos_Anomaly, Training-Normal-Videos-Part-1, and Training-Normal-Videos-Part-2:
cd feature_extract
mkdir Normal_Videos_event
cp Training-Normal-Videos-Part-1/* Training-Normal-Videos-Part-2/* Testing_Normal_Videos_Anomaly/* Normal_Videos_event
rm -rf Training-Normal-Videos-Part-1 Training-Normal-Videos-Part-2 Testing_Normal_Videos_Anomaly
Copy the label from repo: https://github.com/seominseok0429/Real-world-Anomaly-Detection-in-Surveillance-Videos-pytorch
Attention: The train_normal.txt has some repeating elements in it！
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