Simple PoseNet experiments using TensorFlow.js
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Updated
May 7, 2019 - JavaScript
Simple PoseNet experiments using TensorFlow.js
Real time AI Body pose estimation and positioning app build by using ReactJS and react webcam
This simple web-app written only on js uses mediapipe to detect human body pose in 3D
PhysioAI leverages PoseNet, ML.js, and ml5.js to create a browser-based remote physiotherapy assistant. Designed to assist users with guided exercises and real-time feedback, this project runs in a browser to enhance accessibility and effectiveness in physiotherapy sessions.
Real time Pose Estimation using Posenet
An experiment with PoseNet and p5.js. It uses hand position estimation from camera input to bounce the ball on the screen.
Offline Body Movement Analysis in the Browser
This is Developement Stage of HealthRiseRewards which We Have Build . This is Just BareBone Repository Which Have only AI part in it
A machine learning-based in-browser pose detection
A pullup counter made by modifying @shamjam pushup counter
Yolo pose estimation browser, power by onnxruntim web, support WebGPU wasm(cpu). Webcam support for live detection, Add your custom model
A tutorial to my DOCKER and Kubernetes Learning
Real-Time Pose Estimation
Quickly add Pose Estimation and Detection to your React Native app. Enable powerful features in your app powered by your user body tracking !.
Create experiential NFTs from your body movements
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