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

🧘‍♂️🤖 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.

Push-up-Counter-with-Python-Mediapipe

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

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.

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.

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

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.

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

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.

Efficient yoga pose estimation is a critical enabler for enhancing precision and performance in wellness and fitness applications. Advancements in computer vision and machine learning are driving remarkable progress in this domain.