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
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.
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 is a project to recognize human fall posture through LSTM deep learning model.
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.
Using a Stereo-Vision Setup to reliably track a Player's Elbow
This project recommends seven tailored asanas based on a user's health conditions. Additionally, our yoga pose estimator detects incorrect postures for improved form.
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