HandDraw is a Python-based project that uses MediaPipe for hand landmarks detection and OpenCV for real-time drawing. The software captures hand gestures and visualizes them as drawings on the screen, offering an interactive and creative user experience. This project demonstrates the power of combining AI with real-time image processing to build innovative applications.
Check out the demo of HandDraw in action below!
The demo could also be found at: https://www.youtube.com/watch?v=Pw8q8O9CqHE
In the demo, you can see a real-time drawing of "I ❤️ U" using hand gestures.
- ⚡ Real-time hand landmarks detection
- ✍️ Gesture-based drawing visualization
- 🖥️ Easy to use interface
- 🎯 High accuracy with MediaPipe
- 🎨 Customizable drawing colors and shapes
Follow the steps below to set up and run this project on your local machine.
Ensure you have Python installed on your system. Then install the necessary libraries.
pip install opencv-python mediapipeClone the repository to your local machine:
git clone https://github.com/your-username/HandDraw.git
cd HandDrawOnce installed, you can run the project by executing the Python script.
python hand_love.pyYou will see a window pop up, and the camera will start capturing hand gestures in real-time, turning them into drawings.
- 📸 Make sure your camera is enabled and pointing toward your hand.
- 🖍️ Use your index finger to choose a color on the screen.
- 🖌️ Use your index finger and thumb to draw on the screen.
- 🎉 Explore different gestures to create fun shapes and designs!
- 📷 MediaPipe detects hand landmarks in real-time from the camera input.
- 🖼️ OpenCV processes these landmarks and converts them into drawing strokes on the screen.
- ✋ The program allows users to draw by moving their hands, simulating pen-like behavior in the air.
- 🧩 Adding more gesture types for different actions (e.g., undo, change color).
- 🤚 Extending the project to recognize multiple hands and gestures simultaneously.
- 🖥️ Enhancing the UI for a more interactive experience.