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.
Watch how the system detects hand landmarks in real-time!
- 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.
To run this project, you will need:
- Python 3.x
- OpenCV
- MediaPipe
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Clone the repository:
git clone https://github.com/RohanCyberOps/hand-gesture-detection.git cd hand-gesture-detection -
Set up a virtual environment (optional but recommended):
python -m venv .venv source .venv/bin/activate # On Windows use `.venv\Scripts\activate`
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Install dependencies:
pip install opencv-python mediapipe
To run the hand gesture detection application, use the following command:
python main.py- Press 'q' to exit the program.
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.
If you encounter any issues while using the application, please check the Issues section or feel free to create a new issue.
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. 🚀
This project is licensed under the MIT License. See the LICENSE file for details.
For any inquiries, please contact:
- Your Name: your.email@example.com
- GitHub: Rohan Naagar