https://github.com/niju-2004/hand-detection-opencv-mediapipe
Real-time hand detection and tracking using OpenCV and Mediapipe. Detects hand landmarks, tracks positions, and displays FPS on a live video feed.
https://github.com/niju-2004/hand-detection-opencv-mediapipe
ai fps handdetection handtracking mediapipe mediapipe-hands opencv python thumb
Last synced: about 2 months ago
JSON representation
Real-time hand detection and tracking using OpenCV and Mediapipe. Detects hand landmarks, tracks positions, and displays FPS on a live video feed.
- Host: GitHub
- URL: https://github.com/niju-2004/hand-detection-opencv-mediapipe
- Owner: Niju-2004
- License: mit
- Created: 2025-03-01T15:07:02.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-01T15:08:06.000Z (7 months ago)
- Last Synced: 2025-03-01T16:20:45.064Z (7 months ago)
- Topics: ai, fps, handdetection, handtracking, mediapipe, mediapipe-hands, opencv, python, thumb
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# hand-detection-opencv-mediapipe
Real-time hand detection and tracking using OpenCV and Mediapipe. Detects hand landmarks, tracks positions, and displays FPS on a live video feed.
# Hand Detection using OpenCV and Mediapipe
## Overview
This project implements real-time hand detection and tracking using OpenCV and Mediapipe. The script captures video from a webcam, detects hands, and tracks key landmark positions, displaying them on the video feed. The frame rate (FPS) is also displayed.
## Features
- Detects hands in real-time.
- Draws hand landmarks and connections.
- Prints the thumb tip coordinates in the console.
- Displays FPS on the video feed.
- Closes when 'q' is pressed.
## Requirements
Make sure you have the following dependencies installed:
```sh
pip install opencv-python mediapipe
```
## Usage
1. Clone or download the repository.
2. Run the script using:
```sh
python hand_detection.py
```
3. The webcam will open, and detected hands will be displayed with landmarks.
4. Press 'q' to exit.
## Code Explanation
### `HandDetector` Class
- **`__init__`**: Initializes Mediapipe's hand detection model.
- **`findHands(img, draw=True)`**: Detects hands and draws landmarks.
- **`findPosition(img, results, draw=True)`**: Extracts and returns hand landmark positions.
### `main()` Function
- Captures video from the webcam.
- Uses `HandDetector` to detect hands.
- Prints the thumb tip coordinates.
- Displays FPS.
- Press 'q' to exit.
## Output
- **Console Output**: Displays coordinates of the thumb tip if detected.
- **GUI Output**: Webcam feed with hand landmarks and FPS displayed.
## Example Console Output
```
[320, 240]
[325, 245]
[330, 250]
```
## Example Screenshot
📷 *(Hand with key points marked and FPS displayed in the top-left corner)*
## License
This project is open-source and available under the MIT License.