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Unusual Acitivity Detector

In this project we developed a Activity detection model using Convolutional-3D and ConvoLSTM. The model was deployed using Django which allows user to track live video feed and sends alarm to the officer if some unusal activity is detected.

Getting Started

Prerequisites

Running this project on your local system requires the following packages to be installed :

  • Tensorflow
  • Keras
  • numpy
  • pandas
  • Django

They can be installed from the Python Package Index using pip as follows :

 pip install numpy
 pip install keras
 pip install pandas
 pip install tensorflow
 pip install tensorflow-gpu
 pip install Django

Contributing

You are welcome to contribute :

  1. Fork it (https://github.com/ritwik-singh/unusual_activity_detection/fork)
  2. Create new branch : git checkout -b new_feature
  3. Commit your changes : git commit -am 'Added new_feature'
  4. Push to the branch : git push origin new_feature
  5. Submit a pull request ! If you have any new ideas or suggestions to improve this project, feel free to contact me. Your valuable feedback is highly appreciated!

License

This Project is licensed under the MIT License, see the LICENSE file for details.

Final Notes

Thanks for going through this Repository! Have a nice day.

Got any Queries? Feel free to contact us.

Rajiv Nayan Choubey
Ritwik Kumar Singh
Rituraj Kushwaha
Aditi Agrahari
Sanchita Khare
Loveleen Amar

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