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code for the SwinAnomaly paper

Python 83.21% Shell 0.35% Dockerfile 0.14% Jupyter Notebook 16.29%

swinanomaly-real-time-video-anomaly-detection-using-video-swin-transformer-and-sort's Introduction

SwinAnomaly-Real-Time-Video-Anomaly-Detection-using-Video-Swin-Transformer-and-SORT

Inference code for the SwinAnomaly paper.

Save the model in a folder and add its path to config.py file
Infer the model for latency using inference.py
Infer the real-time detection using video_anomaly_detection.py
Inference Results on ShanghaiTech dataset.

Anomaly Detection examples

Pedestral anomaly detection

Bicycle detection
Vehicle detection

Theft detection

Bag Snatching

swinanomaly-real-time-video-anomaly-detection-using-video-swin-transformer-and-sort's People

Contributors

Stargazers

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swinanomaly-real-time-video-anomaly-detection-using-video-swin-transformer-and-sort's Issues

Regarding running the code

Dear authors,

Thanks for your paper as well as your code. However, can you make an instruction to guide how to train and test your code?

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