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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.
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.
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.
Push-up-Counter-with-Python-Mediapipe
Real-time Body Pose Estimation A Program That Detects With The Support Of Artificial Intelligence And Design