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GitHub - eduardolundgren/tracking.js: A modern approach for Computer Vision on the web
A modern approach for Computer Vision on the web. Contribute to eduardolundgren/tracking.js development by creating an account on GitHub.
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GitHub - eduardolundgren/tracking.js: A modern approach for Computer Vision on the web

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

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:point_right: https://github.com/eduardolundgren/tracking.js/issues/395 :point_left:


tracking.js

Build Status DevDependencies Status

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.

Install

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

bower install tracking
npm install tracking

Examples

Demo 1 Demo 2 Demo 3 Demo 4 Demo 5

Features

Browser Support

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

IE Chrome Firefox Opera Safari
IE 9+ ✔ Latest ✔ Latest ✔ Latest ✔ Latest ✔

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

Roadmap

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

Contributing

  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

History

For detailed changelog, check Releases.

Team

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

Eduardo Lundgren Thiago Rocha Zeno Rocha Pablo Carvalho Maira Bello Jerome Etienne
Eduardo Lundgren Thiago Rocha Zeno Rocha Pablo Carvalho Maira Bello Jerome Etienne

License

BSD License © Eduardo Lundgren

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