Real world Anomaly Detection in Surveillance Videos with CNN+LSTM : Pytorch

This is the End of 4th year project at INSAT

Goal : Design and development of a crime forecasting system based on the videos of the surveillance cameras.

Datasets

Download following data link and unzip under your $DATA_ROOT_DIR. /workspace/DATA/UCF-Crime/all_rgbs

• Directory tree

  
  DATA/
      UCF-Crime/ 
          ../all_rgbs
              ../~.npy
          ../all_flows
              ../~.npy
      train_anomaly.txt
      train_normal.txt
      test_anomaly.txt
      test_normal.txt

## Architecture : 
#### Prediction model  : 

![image](https://user-images.githubusercontent.com/71349228/209438013-a5a0581d-410b-4d8d-8817-6721390453db.png)

#### IOT idea :

![image](https://user-images.githubusercontent.com/71349228/209438048-d42a6887-43d3-40ef-9b58-c1db6f8bbdc9.png)

## Results:

![image](https://user-images.githubusercontent.com/71349228/209438068-3cab3407-38c9-44bf-9d36-187c7101e03d.png)

## train-test script

python main.py

python mainlstm.py