https://github.com/FranBesq/attack-yolo
Developing adversarial attacks on YOLO algorithm for computer vision (Work in progress)
https://github.com/FranBesq/attack-yolo
Last synced: 6 months ago
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Developing adversarial attacks on YOLO algorithm for computer vision (Work in progress)
- Host: GitHub
- URL: https://github.com/FranBesq/attack-yolo
- Owner: FranBesq
- Created: 2020-11-11T18:57:35.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-19T13:22:16.000Z (almost 5 years ago)
- Last Synced: 2024-11-09T17:42:53.654Z (11 months ago)
- Language: MATLAB
- Size: 17.2 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-yolo-object-detection - FranBesq/attack-yolo - yolo?style=social"/> : Developing adversarial attacks on YOLO algorithm for computer vision. (Object Detection Applications)
- awesome-yolo-object-detection - FranBesq/attack-yolo - yolo?style=social"/> : Developing adversarial attacks on YOLO algorithm for computer vision. (Applications)
README
# attack-yolo
*(Work in progress)*
Developing adversarial attacks on YOLO algorithm for computer vision
High level overview
# Requirements
* Darknet - https://github.com/AlexeyAB/darknet#requirements
* [OpenCV python](https://pypi.org/project/opencv-python/)
* [NumPy](https://pypi.org/project/numpy/)
* [OpenAI Gym](https://pypi.org/project/gym/)
* [Stable Baselines for TF](https://stable-baselines.readthedocs.io/en/master/guide/install.html) or [Stable Baselines 3 for pytorch](https://stable-baselines3.readthedocs.io/en/master/guide/install.html)
* nvidia-docker + [darknet container](https://hub.docker.com/r/takuyatakeuchi/yolo-darknet/) not needed if using Darknet above
# Developing attacks with RL
# TO DO
* normalize rewards - get better mse
* use L_inf?