elliot-hicks/bar_path_tracker

Bar path tracking algorithm for powerlifting

BarPath

A repo for powerlifting analytics
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
3. Usage
4. Roadmap
5. Contributing
6. Contact
7. Acknowledgments

About The Project

As a passionate powerlifter, I’ve always been fascinated by the intricate dance between strength, technique, and performance. Recently, I combined my love for powerlifting with my analytical skills to create something truly exciting: a bar path tracking app using OpenCV, Python, and Gradio.

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Built With

Python, OpenCV, Gradio, caffeine.

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Getting Started

Install requirements in requirements.txt using:

conda create --name <your_env> --file requirements.txt

Run main.py and upload your own lifting video, or an example in src/data/example_videos.

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Roadmap

• Link user form and stats
• Multi set tracking
  • 1RM estimation
• Pose Estimation
• Custom plate sizing

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Contact

Please create an issue if you wish to get in touch!

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Acknowledgments

A big thank you to my old coach and close friend Josh Pearson from Forged Powerlifting for providing his training videos and velocity data for BarPath's development. Check out his website at https://www.forgedpowerlifting.com/ for any powerlifting needs!

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