Python ML library for people fall detection
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Updated
Nov 7, 2021 - Jupyter Notebook
Python ML library for people fall detection
Full body pose estimation to be used with HMD (Quest2) built in Unity
Sit up Straight! This extension will help you track your posture as you browse with the help of your webcam and Tensorflow.js
MoveNetを用いたPythonでの姿勢推定のデモ
[JS/TensorFlow] JavaScript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement three neural network models for human pose estimation: MoveNet, PoseNet, and BlazePose. No Node.js is required. TensorFlowJS was used, and an example app is included.
Squid Game's "Green light, red light" using body tracking with TensorFlow.js
The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision techniques, the app provides users with personalized feedback of their serves.
Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.
MoveNet: Body Segmentation for TFJS and NodeJS
A Flutter app that utilises 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 and nutrition.
Pose Detection by using Web (Mobile / Laptop) Camera
Chrome AI extension to visualize YouTube videos in real time.
This project focuses on Human Pose Estimation using the MoveNet model with TensorFlow Lite. The goal is to detect keypoint positions on a person's body in images and live video frames. The project provides a Flask web application for both image and live video input, showcasing the real-time capabilities of the model.
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.
Fastest Pose Estimation on any device
This project is an implementation of MoveNet which is developed by Google. Inspired by monolesan's fix_posture project,we are going to set more thresholds and build your personal deep-learning model less than 5 min.
Human Pose Estimation using MoveNet with TensorFlow and Python.
A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
Quickly add Pose Estimation and Detection to your React Native app. Enable powerful features in your app powered by your user body tracking !.
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