victordibia/handtrack.js
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Implements hand pose classification (open, closed, pinch, point, face) alongside bounding box detection using SSD-based CNNs trained on custom webcam-facing datasets. Built on TensorFlow.js with quantized model variants (3–12MB) delivered via CDN, the library provides a simple async API accepting HTML image/video/canvas elements and returning predictions with confidence scores, designed for browser-based gesture control prototyping without ML expertise.
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JavaScript
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MIT
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Jul 20, 2022
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