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https://github.com/asadullah-dal17/machine-learning-models-mediapipe-

Trying different model,
https://github.com/asadullah-dal17/machine-learning-models-mediapipe-

mediapipe mediapipe-facemesh mediapipe-hands mediapipe-models open-source open-source-project opencv-python opensource opnecv

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# :pushpin:Machine-Learning-Models-Mediapipe :camera:

This Repository shows how to use the machine learning models from [**Mediapipe**](https://google.github.io/mediapipe/) for any use case. We will be using the OpenCV-Python library.

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## Table of Contents
1. [About Mediapipe](#about-mediapipe)
2. [Features](#features)
3. [Installation](#installation)
- [Requirements](#requirements)
4. [Contributing](#contributing)
- [Steps](#steps)
5. [Languages](#languages)
6. [License](#license)
7. [Contact](#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**](https://google.github.io/mediapipe/solutions/models)

## Features
These are the solutions I have provided examples for. My [youtube channel](https://www.youtube.com/c/aiphile) explains these solutions more in depth.
- [**Hand Pos**](https://github.com/Asadullah-Dal17/Machine-Learning-Models-Mediapipe-/tree/master/handPos)
- [**Pos Estimation**](https://github.com/Asadullah-Dal17/Machine-Learning-Models-Mediapipe-/tree/master/Pos-Estimation)
- [**Holistic Pos Estimation**](https://github.com/Asadullah-Dal17/Machine-Learning-Models-Mediapipe-/tree/master/Holistic-Pos)

## Installation

### Requirements
The installation of both OpenCV and Mediapipe libraries is required.

1. [Mediapipe](https://pypi.org/project/mediapipe/)

2. [OpenCV-python](https://pypi.org/project/opencv-python/)

- Installing Mediapipe

On Windows

`pip install mediapipe`

On Mac/Linux

`pip3 install mediapipe`

For more details, check out the official site [here](https://google.github.io/mediapipe/getting_started/python.html).

- 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](https://github.com/Asadullah-Dal17/Machine-Learning-Models-Mediapipe-/blob/master/LICENSE) for more information.

## Contact
If you found this helpful, please star it. :star:

You can watch my tutorial on Computer Vision Topics on my channel AiPhile Youtube

If you have any questions or need help in CV Project, feel free to DM on Instagram Instagram

You can reach out to me here:



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