Python ML library for people fall detection
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Updated
Nov 7, 2021 - Jupyter Notebook
Python ML library for people fall detection
MoveNetを用いたPythonでの姿勢推定のデモ
MoveNet: Body Segmentation for TFJS and NodeJS
Full body pose estimation to be used with HMD (Quest2) built in Unity
Fastest Pose Estimation on any device
[JS/TensorFlow] Javascript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement 3 neural network models using for human pose estimation: MoveNet, PoseNet and BlazePose. No node.js required, TensorFlowJS was used, example app is included.
Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.
Pose Detection by using Web (Mobile / Laptop) Camera
Sit up Straight! This extension will help you track your posture as you browse with the help of your webcam and Tensorflow.js
Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.
Squid Game's "Green light, red light" using body tracking with TensorFlow.js
Comparing the performance of the BlazePose and the MoveNet-Thunder frameworks in the tackling of the Pose Estimation problem
A Flutter app that utlises TensorFlow's MoveNet model for pose detection, in order to count a user's reps and detect the correctness of their pose, with additional modules for BMI calculation, nutrition.
Web-application source code from servocam.org (Javascript). The web application allows you to remotely or locally control the machine using a web browser.
Chrome AI extension to visualize YouTube videos in real time.
Use Computer Vision and Deep Learning for Yoga training !
Human Pose Estimation using MoveNet with TensorFlow and Python.
This repo implements multi-person pose estimation using the efficient MoveNet architecture. With pre-trained models, fine-tuning scripts, and data utilities, this project offers a flexible and easy-to-use tool for real-time pose estimation in various applications.
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