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jweb-hands-landmarker

A self contained example demonstrating how to use MediaPipe HandLandmarker with Max's jweb connected to either a live webcamera stream or using still images.

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The hand landmark model bundle detects the keypoint localization of 21 hand-knuckle coordinates within the detected hand regions. The model was trained on approximately 30K real-world images, as well as several rendered synthetic hand models imposed over various backgrounds.

Handlandmarks diagram

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This example is inspired by an example by Rob Ramirez, which is in turn inspired by MediaPipe in JavaScript.

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A self contained example demonstrating how to use MediaPipe HandLandmarker with Max's jweb connected to either a live webcamera stream or using still images.

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