Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe

Paul McWhorter via YouTube

Start learning Write review
CodeSignal Ad

2,000+ Free Courses with Certificates: Coding, AI, SQL, and More

Learn More → Corporate Finance Institute Ad

Finance Certifications Goldman Sachs and Amazon Teams Trust

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This lesson shows how to use MediaPipe pose estimation with OpenCV and Python to parse live webcam landmarks into accessible x-y arrays. It builds reusable classes for body and hand landmark data and handles missing detections.

Syllabus

Introduction
Getting Started
Parse Pose Data
Create Pose Object
Testing
Array
Error
Finding Pose Data
Troubleshooting
Conclusion

Taught by

Paul McWhorter

Reviews

Start your review of AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.