Hand Keypoint Detector trained with Tensorflow

Real-time Hand Keypoint Detection in the Browser using Handtrack.js and HandPose

实现基于pytorch的esnet，加入nanodet进行双手关键点检测

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AI Hand Gesture Detector which detects and labels different hand gestures in real time, using OpenCV and prebuilt keypoint classifiers

This project implements a 3D hand pose estimation pipeline using stereo cameras. It reconstructs 3D hand keypoints by triangulating 2D detections using Direct Linear Transformation (DLT). It supports three different 2D hand keypoint detectors for triangulation:

hand & hand joint detect, start from QG-MegaTrack project, add various inference and train sample sorting routines, trained hand-detector and keypoint-estimator model with Interhand, etc.

MediaPipe Hands utilizes an ML pipeline consisting of multiple models working together: A palm detection model that operates on the full image and returns an oriented hand bounding box. A hand landmark model that operates on the cropped image region defined by the palm detector and returns high-fidelity 3D hand keypoints.