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