Topic: movenet-thunder Goto Github
Some thing interesting about movenet-thunder
Some thing interesting about movenet-thunder
movenet-thunder,AI based yoga trainer.
User: 24vishwas
movenet-thunder,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.
User: adeeteya
movenet-thunder,Live Yoga poses detection
User: anujsahani01
movenet-thunder,Using a Stereo-Vision Setup to reliably track a Player's Elbow
User: clemensseeger
movenet-thunder,Computer Vision model for identifying police hand signals using TensorFlow & Tensorflow-lite.
User: cyber-machine
movenet-thunder,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.
User: devfemibadmus
movenet-thunder,MoveNetを用いたPythonでの姿勢推定のデモ
User: kazuhito00
movenet-thunder,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.
User: kochlisgit
movenet-thunder,This project uses the MoveNet model for pose estimation. The model is loaded and run using TensorFlow Lite. The predicted keypoints are then visualized on the input image.
Organization: major-project-human-surveillance
movenet-thunder,This project recommends seven tailored asanas based on a user's health conditions. Additionally, our yoga pose estimator detects incorrect postures for improved form.
User: mitali-juvekar
movenet-thunder,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.
User: mohesmail143
movenet-thunder,This is a project to recognize human fall posture through LSTM deep learning model.
User: nntruong1907
movenet-thunder,This is a project to implement a human fall posture recognition model through LSTM deep learning model using Flask web framework.
User: nntruong1907
movenet-thunder,The repository is to predict human joint location from JPG images that have a pixel size of 256*256. This will be done using the Movnet Singlepose thunder pretrained model, which will be deployed on AWS using CF and SDK.
User: supreeth-c
movenet-thunder,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.
User: zhuchangyi
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.