Learn how to parse pose and hand landmark data in Mediapipe using Python and OpenCV in this comprehensive tutorial video. Discover techniques for full body pose estimation on live webcam footage, including creating a pose object, analyzing landmark data, and troubleshooting common issues. Gain practical skills in computer vision and machine learning applications for real-time human pose analysis.
AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe
Overview
Syllabus
Introduction
Getting Started
Parse Pose Data
Create Pose Object
Testing
Array
Error
Finding Pose Data
Troubleshooting
Conclusion
Taught by
Paul McWhorter
Related Courses
-
Advanced Computer Vision with Python - Full Course
-
AI for Everyone - Real Time Pose Estimation with Mediapipe and Python
-
OpenCV Python Course - Learn Computer Vision and AI
5.0 -
AI Hand Pose Estimation with MediaPipe and Python
-
Computer Vision: YOLO Custom Object Detection with Colab GPU
-
AI Face, Body and Hand Pose Detection with Python and Mediapipe
