A library for prototyping realtime hand detection (bounding box), directly in the browser.

Pose authoring using handtrackingon Quest

这是一个 Flutter Packge 以实现摄像头精确追踪并识别十指的运动路径/轨迹和手势动作, 且输出22个手部关键点以支持更多手势自定义. 基于这个包可以编写业务逻辑将手势信息实时转化为指令信息: 一二三四五, rock, spiderman...还可以对不同手势编写不同特效. 可用于短视频直播特效, 智能硬件等领域, 为人机互动带来更自然丰富的体验

A pre-trained YOLO based hand detection network.

VRM hand tracking using mediapipe

package google mediapipe hand and holistic tracking into a dynamic link library

HolisticMotionCapture is an application and package that can capture the motion of a person with only a monocular color camera and move the VRM avatar's pose, face, and hands.

Meta Quest VR App for tracking and streaming hand and wrist landmark telemetry.

Oculus Quest hand tracking directly in Unity Editor for fast iteration.

HolisticBarracuda is the Unity Package that simultaneously estimates 33 pose, 21 per-hand, and 468 facial landmarks on the Unity Barracuda with GPU.

A collection of Hand Interaction Experiments using Unity and Ultraleap hand tracking

A python wrapper for Mediapipe's Multi-Hand Tracking

Add touch gesture-like hand gestures in your app; based on Handtrack.js + Hammer.js

In this project we will be using the live feed coming from the webcam to create a virtual mouse with complete functionalities.

AI在前端领域应用的Demo集合

This project merges computer vision with 3D modeling to create a lifelike virtual hand in Unity. Hand movements are tracked using OpenCV, enabling real-time interaction and applications in virtual reality, gaming, and simulations.

Simple Hand Tracking module and Controlling Volume through gesture

Browser BRep CAD in WebXR

Handtracking mediapipe sample with bitmap RGB input

Control your mouse cursor using hand gestures! This script uses OpenCV, MediaPipe, and PyAutoGUI to track your hand and click by touching thumb and index finger.

No description provided.

implemented some computer vision problems

SmartTextileGlove (Nature Machine Intelligence 2024)

his Python script utilizes OpenCV and MediaPipe to perform real-time hand tracking using a webcam. The code captures video input from the default camera, processes the frames to detect and track hand landmarks using the MediaPipe Hands module, and subsequently visualizes the landmarks on the live feed.

Hand Detection using TFLite in Android. Uses Victor Dibia's model checkpoints.

Hand tracking application developed in Pytorch

Hand tracking with Google Mediapipe and Tensorflow demo app

Framework for simplifying the usage of XR Hands by automagically creating a special XR Device which implements designed hand poses as buttons for using with the unity's Input System Package

Draw on Screen using Webcam , Built using JS No GPU or Pre-request needed. Easy to integrate on your own apps.

WebXR hand input in Three.JS example