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Real-Time 3D Pose Estimation

This project implements real-time 3D pose estimation using MediaPipe and OpenCV. It captures video from a webcam, detects human pose landmarks in 3D, and sends the landmark data to a Unity application via UDP.

Table of Contents

Features

  • Real-time detection of 3D pose landmarks using MediaPipe.
  • Visualization of detected landmarks on the webcam feed.
  • Sending 3D landmark coordinates to a Unity application via UDP for further processing or visualization.
  • Option to terminate the program by pressing the 'q' key.

Requirements

  • Python 3.x
  • OpenCV
  • MediaPipe
  • NumPy
  • JSON
  • Socket