Posture Monitoring build on CNN & ANN using TensorflowJS and Movenet3 with client-side rendering
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Updated
Jun 25, 2021 - CSS
Posture Monitoring build on CNN & ANN using TensorflowJS and Movenet3 with client-side rendering
Application of Movenet model to detect multiple persons in a frame using convolutional neural network model
This is Pose Estimation project based on MoveNet architecture. It can detect the points so accurately and fast. And works for single pose estimation.
A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
Pose Estimator using the fastest rendering MoveNet-Lightning framework with Tensorflow Lite.
MoveNetを用いたPythonでの姿勢推定のデモ
Here we tried to detected different poses made by person using movenet/singlepose/lightning model
Use Computer Vision and Deep Learning for Yoga training !
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.
Sit up Straight! This extension will help you track your posture as you browse with the help of your webcam and Tensorflow.js
pose detection of a video with artificial agents
MoveNet-Web is a web application that leverages TensorFlow.js and the MoveNet model to perform real-time pose estimation directly in the browser. Built with Next.js and utilizing the WebGL backend, this application ensures efficient GPU acceleration for optimal performance.
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