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Face Recognition
MEdiapipe Web

MEdiapipe Web

Mark faces in images and videos to show key landmarks

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What is MEdiapipe Web ?

MEdiapipe Web is a web-based tool designed for face recognition and landmark detection in images and videos. It enables users to mark faces and identify key facial landmarks, making it a powerful solution for various applications in computer vision and machine learning.

Features

  • Real-Time Processing: Analyze faces and detect landmarks in real-time video streams.
  • High Accuracy: Precise detection of facial features, including eyes, nose, mouth, and more.
  • Customizable: Easily adjust settings to suit specific use cases.
  • Multi-Platform Support: Works seamlessly with web applications and browsers.
  • Integration Ready: Designed to integrate with other web-based tools and workflows.

How to use MEdiapipe Web ?

  1. Include the MEdiapipe Web Library: Add the MEdiapipe Web script to your HTML file.
  2. Set Up Video Input: Use a webcam or upload a video file for processing.
  3. Process the Video Stream: Apply MEdiapipe's face detection and landmark tracking.
  4. Draw Landmarks: Overlay detected landmarks on the video feed.
  5. Clean Up: Release resources and stop the video stream when done.

Frequently Asked Questions

What browsers does MEdiapipe Web support?
MEdiapipe Web is compatible with modern browsers, including Chrome, Firefox, and Edge, ensuring broad accessibility.

Can I customize the landmark detection?
Yes, MEdiapipe Web allows customization of detection settings, such as sensitivity and tracking speed, to meet specific requirements.

How do I integrate MEdiapipe Web into my web app?
To integrate, simply include the MEdiapipe Web library in your HTML, initialize the face mesh module, and connect it to your video stream for real-time processing.

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