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@WebAR-rocks

WebAR.rocks

Real-time computer vision for the web

🌍 WebAR.rocks — Augmented Reality Libraries for the Web

We build cutting-edge augmented reality libraries designed to run directly in the browser.
Our tools rely on a proprietary deep-learning engine optimized for real-time performance in JavaScript/WebGL, making them 2–10× faster (depending on configuration) than TensorFlow.js.

👉 Official website: webar.rocks

Our technology also powers our sister company, Jeeliz, which delivers the industry-leading eyewear virtual try-on solution.


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  1. WebAR.rocks.hand WebAR.rocks.hand Public

    WebAR.rocks hand detection and tracking

    JavaScript 129 31

  2. WebAR.rocks.train WebAR.rocks.train Public

    Object detection, tracking, and 6DoF Pose Estimation in web browser - Integrated Training Environment to train your own neural network models

    JavaScript 94 8

  3. WebAR.rocks.face WebAR.rocks.face Public

    WebAR.rocks face detection and tracking JavaScript library

    JavaScript 103 28

  4. WebAR.rocks.object WebAR.rocks.object Public

    Object detection and tracking

    JavaScript 82 21

  5. WebAR.rocks.faceDepth WebAR.rocks.faceDepth Public

    Insert your face, detected in your camera feed, in a web 3D scene in real-time.

    JavaScript 41 5

  6. three-tvert-killer three-tvert-killer Public

    Remove T-Vertices from THREE.js geometries

    JavaScript 2 1

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