Hand Tracking using MediaPipe

This Python script utilizes the MediaPipe library to perform hand tracking in real-time using your webcam. It detects hand landmarks and draws connections between them, allowing you to visualize hand movements.

Sample Output

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Prerequisites

Before running the script, ensure you have the following installed:

• Python (version 3.7 or higher)
• OpenCV (opencv-python package)
• MediaPipe (mediapipe package)

You can install the required packages using pip:

pip install opencv-python mediapipe

Usage

1. Clone this repository to your local machine.
2. Navigate to the directory containing the script.
3. Run the script using Python:

python hand_tracking.py

4. A window will pop up displaying your webcam feed with hand tracking overlay.
5. Press 'q' to exit the program.

Code Explanation

• The script captures video input from your webcam (cv2.VideoCapture).
• It utilizes MediaPipe's Hands model to detect hand landmarks in each frame.
• Detected landmarks are used to draw circles at specific key points on the hand (e.g., fingertips, base).
• Hand connections are drawn between landmarks to visualize hand structure.
• The script calculates and displays frames per second (FPS) to monitor performance.
• Pressing 'q' quits the application.

Mediapipe Hand Landmarks

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