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Real time hand detection and classification with landmark visualization. Works with any webcam for fast and efficient hand tracking.

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βœ‹ HandDetection

HandDetection is a Python script that detects hands in real time, draws landmarks, and performs hand classification.

HandDetection Demo


🎯 Features

Feature Description
βœ… Real time hand tracking Detects hands in live video feed.
🧠 Hand classification Classifies whether the detected hand is left or right.
πŸ–ŒοΈ Landmark visualization Draws landmarks on the hand.
πŸš€ Fast and efficient Uses MediaPipe for optimal speed and performance.
πŸŽ₯ Works with any webcam Compatible with any standard webcam.

πŸ› οΈ Technologies

Technology Description
🐍 Python Scripting language used for development.
🧰 OpenCV Library used for video processing.
πŸͺž MediaPipe Framework for hand tracking and landmark detection.
🧩 CVZone Library used for drawing landmarks and overlays.

πŸ“¦ Installation

  1. Clone the repository:

    git clone https://github.com/KrishBharadwaj5678/HandDetection.git
    cd HandDetection
  2. Install the required libraries:

    pip install -r requirements.txt

▢️ Usage

To run the script:

python app.py

🀝 Contributing

We welcome contributions!πŸ™Œ

  1. Fork the Repository:🍴

  2. Clone Your Fork:πŸ’»

    git clone https://github.com/KrishBharadwaj5678/HandDetection.git
    cd HandDetection
  3. Create a New Branch:🌱

    git checkout -b your-feature-branch
  4. Make Changes:✏️

  5. Commit Your Changes:πŸ“₯

    git add .
    git commit -m "Describe what you changed"
  6. Push to Your Fork:⬆️

    git push origin your-feature-branch
  7. Create a Pull Request:πŸ”„

    • Navigate to the original repository and click on the Compare & Pull Request.
    • Provide a description of your changes and submit the pull request.

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Real time hand detection and classification with landmark visualization. Works with any webcam for fast and efficient hand tracking.

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