AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe
Offered By: Paul McWhorter via YouTube
Course Description
Overview
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.
Syllabus
Introduction
Getting Started
Parse Pose Data
Create Pose Object
Testing
Array
Error
Finding Pose Data
Troubleshooting
Conclusion
Taught by
Paul McWhorter
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity