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mediapipe-body

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🧘‍♂️🤖 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.

  • Updated Jan 25, 2024
  • Python

This is a computer vision project using the OpenCV library integrated with GUI using the PyQt5 library. This project consists of a supermarket analyzer used to analyze supermarket activity and hand gesture recognition using the MediaPipe library. Besides that, this project is also integrated with Firebase as the online database for the user.

  • Updated Jan 27, 2023
  • Python

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.

  • Updated Jan 25, 2024
  • HTML

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.

  • Updated Jun 16, 2024
  • Jupyter Notebook

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