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AnomalyDetection_CVPR18

Implementation of Real-world Anomaly Detection in Surveillance Videos paper from CVPR 2018. Original implementation from authors is here.

Download C3D sports-1m weights from here and save them to 'trained_models' folder as 'c3d_sports1m.h5'.

Run demo.py to run the code on the demo video in 'input' folder. Visualization of the predictions from the model is saved in 'output' folder.

Libraries Used

  • Keras : 2.2.0
  • Tensorflow : 1.10.1
  • Numpy : 1.14.5
  • OpenCV : 3.3.0.10
  • Scipy : 0.19.1
  • Matplotlib : 2.0.2

Will add the training code soon...!!

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