2,000+ Free Courses with Certificates: Coding, AI, SQL, and More
Learn Backend Development Part-Time, Online
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