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Code for my Insight project, AutoDetect. This project is about finding anomalies in videos.

License: MIT License

Jupyter Notebook 73.49% Python 26.03% Shell 0.48%

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AutoDetect

Code for my Insight project, AutoDetect. This project is about finding anomalies in videos.

This repo contains two approaches: supervised and unsupervised/self-supervised. The code for Supervised is pure PyTorch, whereas the Unsupervised codebase is a mix of numpy/pytorch for the baseline (simple Frame2Frame similarity) and piggybacks on Pix2Pix for the GAN.

Please check my slide deck to see the results of each model.

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