MoveNetを用いたPythonでの姿勢推定のデモ
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Updated
Sep 23, 2022 - Python
MoveNetを用いたPythonでの姿勢推定のデモ
Fastest Pose Estimation on any device
Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.
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.
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.
This project recommends seven tailored asanas based on a user's health conditions. Additionally, our yoga pose estimator detects incorrect postures for improved form.
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.
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.
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