Learn how to implement real-time pose estimation using Mediapipe, OpenCV, and Python. Discover techniques for analyzing live video from a webcam, parsing data from Mediapipe, and creating a full-body pose estimation system. Explore methods to find and analyze pose landmarks, draw results on frames, connect landmarks, and interpret the output data. Gain practical skills in computer vision and machine learning applications for human pose detection and tracking.
AI for Everyone - Real Time Pose Estimation with Mediapipe and Python
Overview
Syllabus
Introduction
Create a new Python lesson
Writing the program
Analyzing the frame
Drawing the results
Viewing the data
Connecting the landmarks
Printing results
Landmarks
Problem
Setting up the eyes
Conclusion
Taught by
Paul McWhorter
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