Python wrapper around Google Mediapipe's Hand Landmark Detection that organizes raw landmark data into usable hand objects with per-finger access, angle calculation, raised finger detection, and more.
Project description
Hand Tracking
Python wrapper around Google Mediapipe's Hand Landmark Detection that organizes raw landmark data into usable hand objects with per-finger access, angle calculation, and raised finger detection.
Install
pip install mediapipe opencv-contrib-python numpy
git clone https://github.com/DwnNyxDev/hand_tracking.git
The hand_landmarker.task model file is bundled — no separate download needed.
Usage
Example usage of this package is provided within example.py which can be run with:
python example.py
Used In
- hand_controller — ROS 2 package that wraps this library into a node for robot control pipelines
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