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Showing content from https://github.com/eduardolundgren/tracking.js below:

eduardolundgren/tracking.js: A modern approach for Computer Vision on the web

👉 #395 👈

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more — all that with a lightweight core (~7 KB) and intuitive interface.

• Official website
• Documentation
• API Docs

Install via Bower, npm, or download as a zip:

bower install tracking

npm install tracking

• Trackers
  • Color Tracker
  • Object Tracker
• Utilities
  • Feature Detection (Fast)
  • Feature Descriptor (Brief)
  • Convolution
  • Gray Scale
  • Image Blur
  • Integral Image
  • Sobel
  • Viola Jones
• Web Components
  • Color Element
  • Object Element

You can plug tracking.js into some well supported HTML elements such as <canvas>, <video> and <img>.

However, the browser support may vary if you request the user's camera (which relies on getUserMedia API).

• Optical flow
• Face recognition
• Pose estimation
• Faster keypoint descriptor (BRIEF)
• More trainings (Hand, car plate, etc)

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D

For detailed changelog, check Releases.

tracking.js is maintained by these people and a bunch of awesome contributors.

BSD License © Eduardo Lundgren

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