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https://github.com/real0x0a1/face-landmark-detection
https://github.com/real0x0a1/face-landmark-detection
cv2 mediapipe opencv python python3
Last synced: 1 day ago
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- Host: GitHub
- URL: https://github.com/real0x0a1/face-landmark-detection
- Owner: real0x0a1
- License: mit
- Created: 2023-12-11T09:24:59.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-11T09:34:52.000Z (about 1 year ago)
- Last Synced: 2024-11-14T05:38:04.412Z (2 months ago)
- Topics: cv2, mediapipe, opencv, python, python3
- Language: Python
- Homepage:
- Size: 5.86 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Face Landmark Detection
[](https://opensource.org/licenses/MIT)
## Overview
The "Face Landmark Detection" project utilizes the power of Mediapipe, an open-source library, to identify and visualize facial landmarks in real-time through a webcam feed. The script captures video frames from the default camera (camera index 0), applies facial landmark detection, and overlays green dots on the detected facial landmarks. The landmarks include key points such as eyes, nose, and mouth.
## Prerequisites
Before running the script, ensure that you have the required dependencies installed. You can install them using the following commands:
```bash
pip3 install opencv-python
pip3 install mediapipe
```
## Usage
1. Clone the repository:
```bash
git clone https://github.com/Real0x0a1/Face-Landmark-Detection.git
cd face-landmark-detection
```
2. Run the script:
```bash
python3 FaceLandmarkDetection.py
```
3. Press 'q' to exit the application.
## Features
- Real-time facial landmark detection.
- Visualization of facial landmarks with green dots.
- User-friendly and minimalistic script for quick integration.
## Dependencies
- OpenCV (cv2)
- Mediapipe
## Contributing
Contributions are welcome! If you encounter any issues or have suggestions for improvements, feel free to open an issue or create a pull request.
## Author
- Ali (Real0x0a1)
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
Feel free to contribute or raise issues!