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The tracking.js brings to web elements tracking techniques of a real scene captured by the camera, through natural interactions from object tracking, color markers, among others, allowing the development of interfaces and games through a simple and intuitive API.
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:point_right: https://github.com/eduardolundgren/tracking.js/issues/395 :point_left:
tracking.js
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 trackingnpm install trackingExamples
Features
Browser Support
You can plug tracking.js into some well supported HTML elements such as
<canvas>,<video>and<img>.
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
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -m 'Add some feature' - Push to the branch:
git push origin my-new-feature - 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 License
BSD License © Eduardo Lundgren
