GestureMagic is an interactive Python application that uses computer vision and machine learning to recognize hand gestures and perform actions based on those gestures.
- Real-time hand gesture recognition using the power of OpenCV, Mediapipe, and PyQt.
- Recognizes a variety of hand gestures, including finger counting.
- Easy-to-use graphical user interface (GUI) for a user-friendly experience.
- Intuitive instructions to guide users on performing recognized gestures.
- Customizable gestures and actions for enhanced usability.
To run GestureMagic, you need the following dependencies:
- PyQt5
- OpenCV
- Mediapipe
- cvzone
You can install the required dependencies using pip:
pip install PyQt5 opencv-python mediapipeClone the repository to your local machine:
git clone https://github.com/prabhash-varma/Gesture-Master.gitChange into the project directory::
cd Gesture-MasterRun the application using Python:
python main.py- Launch the application and position both hands within the frame.
- The app recognizes gestures in real-time, displaying the count of visible fingers on each hand.
- Follow the on-screen instructions to perform recognized gestures.
- Experiment with different hand poses to explore the range of gestures supported.
- Zero Fingers: No fingers visible.
- One Finger: First finger visible (excluding thumb).
- Two Fingers: First two fingers visible (excluding thumb).
- Three Fingers: First three fingers visible (excluding thumb).
- Four Fingers: First four fingers visible (excluding thumb).
- Five Fingers: All fingers, including the thumb, visible.
We welcome feedback and contributions to enhance GestureMaster. If you encounter issues or have ideas for improvements, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.