MoveNetを用いたPythonでの姿勢推定のデモ

Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.

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.

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.

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.

Server application source code from servocam.org (Python: PC, Windows, Linux). It allows you to remotely control the servos and receive video from camera. It has built-in artificial intelligence models for automatic control.

StretchCam is a stretching app that uses the MoveNet quantized by Ryzen AI Software to efficiently estimate your pose from the camera.

This project recommends seven tailored asanas based on a user's health conditions. Additionally, our yoga pose estimator detects incorrect postures for improved form.