HandTrackPy is a Python script that uses computer vision to detect and track hands in real-time. This project leverages OpenCV and MediaPipe to provide efficient and accurate hand tracking.
| Feature π§© | Description π |
|---|---|
| π₯ Real-Time Hand Tracking | Detect and track hands in real time using webcam input. |
| β Multi-Hand Support | Supports detection of multiple hands simultaneously. |
| β³ FPS Display | Shows Frames Per Second for performance monitoring. |
| ποΈ Landmark Detection | Detects finger and palm landmarks for gesture recognition. |
| β‘ Lightweight | Easy to integrate into other Python projects. |
| π οΈ Customizable | Can be adapted for various gesture-based applications. |
pip install opencv-python mediapipegit clone https://github.com/KrishBharadwaj5678/HandTrackPy.gitpython app.pyThe script utilizes MediaPipe Hands, a deep-learning-based solution for hand tracking, to detect and analyze hand landmarks in real-time.
Feel free to fork the repository and submit pull requests to improve HandTrackPy!