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HandTracking

Holomat tutorial part 1

Hand Tracking Module

Description

This Python script utilizes MediaPipe and OpenCV to track hand movements in real-time using a webcam. It visualizes hand landmarks and their connections on the video feed, serving as a foundation for more complex applications such as gesture recognition or augmented reality interfaces.

Installation

Ensure Python and the necessary libraries are installed:

pip install opencv-python mediapipe numpy

Usage

python handtracking.py

Safety Note

This script moves your mouse pointer and can simulate clicks. Ensure you have an alternate control method available.

Requirements

Python 3.6 or later OpenCV 4.0 or later MediaPipe NumPy PyAutoGUI Contributing Fork the repository and contribute by submitting a pull request.

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Reach out with any feedback or support needs via GitHub or email.

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Holomat tutorial part 1

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