CNN‑BiLSTM Model for Violence Detection in Smart Surveillance

It is a deep learning based approach to train the model and test with the testing dataset. Convolutional Neural Network-based Bidirectional-LSTM will be used to detect any kind of violence in the videos. The videos are to be divided into frames and the frames are checked to find any kind of flow of violent activities by investigating the previous frame, present frame,next frame.
Need help to run the uploaded codes by handling the errors.