Quickly add MediaPipe Pose Estimation and Detection to your React Native app. Enable powerful features in your app powered by the body or hand.
Examples for Websocket CAM app
Enriching Diversity of Synthetic Images for Person Detection
Multimodal mobile sensing framework and public sample dataset for environmental context understanding, including transportation mode, pose mode, motion mode, indoor–outdoor inference, and transition-zone ambiguity.
This app is used for Human pose Detection with more advanced pose estimation models !
Python3 library for estimating a human pose from an image using machine learning techniques.
Real-Time AI Gym Trainer: AI-powered real-time fitness coaching system using MediaPipe & OpenCV for pose estimation, rule-based biomechanical analysis for exercise tracking, and LLM-based feedback (Groq API) with voice coaching (gTTS), built with Streamlit-WebRTC and SQLite.
Real-Time AI Gym Trainer: AI-powered real-time fitness coaching system using MediaPipe & OpenCV for pose estimation, rule-based biomechanical analysis for exercise tracking, and LLM-based feedback (Groq API) with voice coaching (gTTS), built with Streamlit-WebRTC and SQLite.
Add a description, image, and links to the human-pose-detection topic page so that developers can more easily learn about it.
To associate your repository with the human-pose-detection topic, visit your repo's landing page and select "manage topics."