https://github.com/luiskisters/hand-recognition
Real-time hand tracking with gesture recognition using MediaPipe and OpenCV.
https://github.com/luiskisters/hand-recognition
hand-tracking mediapipe opencv
Last synced: 8 months ago
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Real-time hand tracking with gesture recognition using MediaPipe and OpenCV.
- Host: GitHub
- URL: https://github.com/luiskisters/hand-recognition
- Owner: luisKisters
- Created: 2023-04-12T11:27:01.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2025-05-02T11:24:09.000Z (about 1 year ago)
- Last Synced: 2025-05-13T19:11:51.970Z (about 1 year ago)
- Topics: hand-tracking, mediapipe, opencv
- Language: Python
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Hand-Recognition
This project implements real-time hand tracking and gesture recognition using [MediaPipe](https://google.github.io/mediapipe/) and OpenCV.
It was originally based on [this tutorial video](https://www.youtube.com/watch?v=vQZ4IvB07ec) by Nicholas Renotte.
## 🔧 Installation
To install all required dependencies, run:
```bash
pip install -r requirements.txt
```
## 🚀 Usage
* `hand_tracking_min_code.py`
Tracks and visualizes hand landmarks in a real-time webcam feed.
* `hand_tracking_two_fingers_touch.py`
Detects when the thumb and index finger are touching and prints `True` when they do