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HandTrackPy is a real time hand tracking which detects and tracks multiple hands, providing key landmarks for gesture recognition and interactive applications.

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βœ‹ HandTrackPy

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.

Hand Tracking


✨ Features

Feature 🧩 Description πŸ“‹
πŸŽ₯ Real-Time Hand Tracking Detect and track hands in real time using webcam input.
βœ‹ Multi-Hand Support Supports detection of multiple hands simultaneously.
⏳ FPS Display Shows Frames Per Second for performance monitoring.
πŸ–οΈ Landmark Detection Detects finger and palm landmarks for gesture recognition.
⚑ Lightweight Easy to integrate into other Python projects.
πŸ› οΈ Customizable Can be adapted for various gesture-based applications.

πŸ“₯ Installation

pip install opencv-python mediapipe

πŸš€ Usage

Clone the repository

git clone https://github.com/KrishBharadwaj5678/HandTrackPy.git

Run the script

python app.py

πŸ› οΈ How It Works

The script utilizes MediaPipe Hands, a deep-learning-based solution for hand tracking, to detect and analyze hand landmarks in real-time.

🀝 Contributing

Feel free to fork the repository and submit pull requests to improve HandTrackPy!

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HandTrackPy is a real time hand tracking which detects and tracks multiple hands, providing key landmarks for gesture recognition and interactive applications.

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