This repository contains code for collecting pose data of various yoga poses using the MediaPipe Pose model. The collected data includes the angles of different body joints in each yoga pose.

A self contained example demonstrating how to use Mediapipe Pose Landmarker with Max's `jweb`

Build an AI fitness counter and timer app with our end-to-end demo using QuickPose iOS SDK for Pose Estimation/Detection.

Push-up-Counter-with-Python-Mediapipe

🧘‍♂️🤖 Flask, OpenCV, and MediaPipe power this yoga project for real-time pose detection. Using a webcam feed, it dynamically classifies poses with MediaPipe, while Flask enables web deployment. OpenCV manages video streaming and image processing, creating an interactive platform for yoga enthusiasts to practice effectively.

GymJam is an innovative AI gym assistant designed to revolutionize the fitness experience. Utilizing cutting-edge artificial intelligence technology, GymJam offers personalized guidance and support to users during their workouts.

An AI-powered cricket technique analysis platform that helps coaches and players improve cover drive technique through biomechanical analysis and real-time feedback.

A real-time hand tracking project using OpenCV and MediaPipe that allows you to control your computer mouse with gestures. Supports smooth cursor movement, left click, and right click using hand gestures.

MARVIN at the Cooper Union

This project leverages OpenCV and Mediapipe for real-time pose detection, transforming a workout into a tech-driven exercise. Users perform 16 pullups on each arm, tracked by angle detection algorithms. The system visualizes angles and counts, enhancing engagement and accuracy in physical health routines.

Real-time Body Pose Estimation A Program That Detects With The Support Of Artificial Intelligence And Design

This is an low-code / no-code application that dramatically reduces the complexity of using pose estimation frameworks to extract pose keypoints/landmarks.

This repository showcases a collection of real-time computer vision applications built with MediaPipe and OpenCV.

3D Human Pose Estimation: BlazePose to TotalCapture Motion Dataset Pipeline with PyTorch DataLoader for motion capture research and machine learning

Demo showcasing Federated Learning with Flower for yoga pose classification, enabling collaborative training across distributed datasets while preserving data privacy.

This repository is currently used for development of Bramson the AI Motivational Gym Buddy.

CricAI - An AI-Powered Cricket Coach | A complete mobile based solution for cricket training, aiming to minimize errors by providing AI-driven feedback and analysis to coaches and players which will save valuable time and efforts.

Real-time posture detection system using MediaPipe and machine learning (KNN) with a full pipeline from data collection to live prediction.

This repository helps to track the exercise movements of sports player using poseestimation. Using this mediapipe poseestimation, we can also calculate score and angle calculation w.r.t. video or live streaming. I've implemented the same for physiotherapy exercises and yoga.

Running Pose Estimation involves detecting and tracking the key landmarks or points on a person's body in an image or video. The goal is to understand and analyze the body's pose, movements, and gestures, which can be valuable for various applications.