📌Machine-Learning-Models-Mediapipe 📷

This Repository shows how to use the machine learning models from Mediapipe for any use case. We will be using the OpenCV-Python library.

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Table of Contents

1. About Mediapipe
2. Features
3. Installation
   • Requirements
4. Contributing
   • Steps
5. Languages
6. License
7. Contact

About Mediapipe

Mediapipe is an open-source, cross-platform library that provides Machine Learning solutions. The solutions range from face detection to objectron. Different models can be found here

Features

These are the solutions I have provided examples for. My youtube channel explains these solutions more in depth.

• Hand Pos
• Pos Estimation
• Holistic Pos Estimation

Installation

Requirements

The installation of both OpenCV and Mediapipe libraries is required.

1. Mediapipe

2. OpenCV-python

• Installing Mediapipe

  On Windows

  pip install mediapipe

  On Mac/Linux

  pip3 install mediapipe

  For more details, check out the official site here.

• Installing OpenCV-python

  On Windows

  pip install opencv-python

  On Mac/Linux

  pip3 install opencv-python

Contributing

More Mediapipe machine-learning models can be implemented into this code base. Any contributions made are appreciated.

Steps

1. Fork project and clone
2. Create feature branch (name of ML model)
3. Commit and push changes to branch
4. Open a Pull Request

Languages

• Python

License

Distributed under MIT License. See LICENSE for more information.

Contact

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💬 Questions or Need Help?

If you have any questions or need help with the project, feel free to DM me on Instagram!