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

YouTube

AI Hand Pose Estimation with MediaPipe and Python

Nicholas Renotte via YouTube

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This beginner tutorial shows how to use MediaPipe Hands with Python and OpenCV to detect, track, interpret, render, and save hand landmarks from a webcam in real time.

Syllabus

- Start
- Introduction
- How it Works
- Tutorial Start
- Install and Import Dependencies
- Make Detections in Real Time
- Accessing a Real Time Webcam Feed Using OpenCV
- Applying MediaPipe Hand Pose
- Interpreting Hand Pose Results
- Rendering Using OpenCV
- Applying Styling to MediaPipe Detections
- Horizontally Flipping Images using OpenCV
- Save Images using OpenCV
- Ending

Taught by

Nicholas Renotte

Reviews

Start your review of AI Hand Pose Estimation with MediaPipe and Python

Never Stop Learning.

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

Someone learning on their laptop while sitting on the floor.