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 via Bower, npm, or download as a zip:
bower install tracking
npm install tracking
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).
git checkout -b my-new-featuregit commit -m 'Add some feature'git push origin my-new-featureFor detailed changelog, check Releases.
tracking.js is maintained by these people and a bunch of awesome contributors.
 |  |  |  |  |
|---|---|---|---|---|
| Eduardo Lundgren | Thiago Rocha | Zeno Rocha | Pablo Carvalho | Maira Bello |
BSD License © Eduardo Lundgren
FAQs
A modern approach for Computer Vision on the web.
We found that tracking demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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