Hand-Tracking

A Python-based project utilizing MediaPipe for real-time hand landmark detection and tracking. This project captures video input, processes each frame to detect hand landmarks, and visualizes them with custom drawings. Ideal for applications in gesture recognition, human-computer interaction, and other computer vision tasks.

Hand Tracking

A Python-based project that utilizes MediaPipe for real-time hand landmark detection and tracking. This project captures video input, processes each frame to detect hand landmarks, and visualizes them with custom drawings. It is ideal for applications in gesture recognition, human-computer interaction, and other computer vision tasks.

Table of Contents

• Features
• Installation
• Usage
• Video Input
• Output
• Contributing
• License

Features

• Real-time hand landmark detection using MediaPipe.
• Custom visualization of hand landmarks with circles and connecting lines.
• Support for video input.
• Output video file generation with detected hand landmarks.

Installation

To run this project, ensure you have Python installed on your machine. Then, install the required packages by running:

pip install opencv-python mediapipe

Usage
Clone this repository:

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git clone https://github.com/feni-katharotiya/Hand-Tracking.git
Navigate into the project directory:

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cd Hand-Tracking
Run the hand tracking script using Python:

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python your_script.py