https://github.com/rohancyberops/hand-detection-tool
This application leverages the power of MediaPipe and OpenCV to recognize hand gestures in real-time through your webcam. It's a fun and interactive way to explore hand tracking technology and can be used for various applications, from gaming to virtual interfaces.
https://github.com/rohancyberops/hand-detection-tool
awesome cv2-library handgesture-recognition mediapipe opencv opencv-python python trending
Last synced: 10 months ago
JSON representation
This application leverages the power of MediaPipe and OpenCV to recognize hand gestures in real-time through your webcam. It's a fun and interactive way to explore hand tracking technology and can be used for various applications, from gaming to virtual interfaces.
- Host: GitHub
- URL: https://github.com/rohancyberops/hand-detection-tool
- Owner: RohanCyberOps
- License: mit
- Created: 2024-10-27T12:49:21.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-25T16:13:09.000Z (11 months ago)
- Last Synced: 2025-03-10T19:51:28.521Z (10 months ago)
- Topics: awesome, cv2-library, handgesture-recognition, mediapipe, opencv, opencv-python, python, trending
- Language: Python
- Homepage:
- Size: 40 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE.md
- Security: SECURITY.md
Awesome Lists containing this project
README
# 🤚 Hand Gesture Detection using MediaPipe
Welcome to the **Hand Gesture Detection** project! This application leverages the power of MediaPipe and OpenCV to recognize hand gestures in real-time through your webcam. It's a fun and interactive way to explore hand tracking technology and can be used for various applications, from gaming to virtual interfaces.
## 📸 Demo
*Watch how the system detects hand landmarks in real-time!*
## 🚀 Features
- **Real-Time Detection**: Detects and visualizes hand landmarks in real-time using your webcam.
- **User-Friendly Interface**: Simple display with clear visual feedback.
- **Hands-Free Control**: Potential applications for gesture-based control systems.
## 🛠️ Requirements
To run this project, you will need:
- Python 3.x
- OpenCV
- MediaPipe
## 📥 Installation
1. **Clone the repository**:
```bash
git clone https://github.com/RohanCyberOps/hand-gesture-detection.git
cd hand-gesture-detection
```
2. **Set up a virtual environment** (optional but recommended):
```bash
python -m venv .venv
source .venv/bin/activate # On Windows use `.venv\Scripts\activate`
```
3. **Install dependencies**:
```bash
pip install opencv-python mediapipe
```
## 🚀 Running the Project
To run the hand gesture detection application, use the following command:
```bash
python main.py
```
- **Press 'q'** to exit the program.
## 🎨 Code Overview
This project utilizes the following key components:
- **MediaPipe Hands**: For detecting and tracking hand landmarks.
- **OpenCV**: For capturing video from the webcam and displaying the output.
## 🐛 Issues
If you encounter any issues while using the application, please check the [Issues](https://github.com/RohanCyberOps/hand-gesture-detection/issues) section or feel free to create a new issue.
## 🌟 Contributors
We want to give a huge shoutout to everyone who has contributed to the project! 🙌 Your hard work and dedication help make this app better every day. 💪
🎉 Thank you all for your amazing contributions! Let's keep building together. 🚀
## 📄 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## 📫 Contact
For any inquiries, please contact:
- **Your Name**: [your.email@example.com](mailto:your.email@example.com)
- **GitHub**: [Rohan Naagar](https://github.com/RohanCyberOps)