π WebAR.rocks β 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 2β10Γ faster (depending on configuration) than TensorFlow.js.
Lightweight WebGL and JavaScript library for real time, on device hand detection and tracking. Power your augmented reality, hands on experiences on the web π€
Lightweight WebGL and JavaScript library for real time, on device face detection, tracking and landmark estimation. Ideal for web based augmented reality face filters and virtual try on π
Lightweight WebGL and JavaScript library for real time object detection, tracking and 6DoF pose estimation in the browser π¦. Included in WebAR.rocks.train for custom neural network training.
Lightweight JavaScript/WebGL library for real-time face detection, depth estimation & 3D insertion in the browser. Bring the userβs face into your Web3D scene πͺ
Lightweight WebGL and JavaScript library for real time object detection, tracking and 6DoF pose estimation in the browser π¦. Included in WebAR.rocks.train for custom neural network training.
Lightweight WebGL and JavaScript library for real time, on device hand detection and tracking. Power your augmented reality, hands on experiences on the web π€
WebAR-rocks/WebAR.rocks.hand's past year of commit activity
Lightweight WebGL and JavaScript library for real time, on device face detection, tracking and landmark estimation. Ideal for web based augmented reality face filters and virtual try on π
WebAR-rocks/WebAR.rocks.face's past year of commit activity
Lightweight JavaScript/WebGL library for real-time face detection, depth estimation & 3D insertion in the browser. Bring the userβs face into your Web3D scene πͺ
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