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This module uses the Mediapipe library to perform hand tracking and extract hand landmarks using a webcam.

Requirements

  • Python 3.x
  • OpenCV
  • Mediapipe

Installation

  1. Install the required libraries: 
    pip install opencv-python mediapipe

Usage

The module initializes the camera (default index 0) and continuously tracks hands. It displays the live camera feed with hand landmarks and FPS counter.

HandDetector Class The HandDetector class provides a simple interface for hand tracking:

findHands(img, draw=True): Detects and draws hand landmarks on the image. findPosition(img, handNumber=0): Returns a list of landmark positions for a specified hand.