Главная
Study mode:
on
1
Introduction
2
Create a new Python lesson
3
Writing the program
4
Analyzing the frame
5
Drawing the results
6
Viewing the data
7
Connecting the landmarks
8
Printing results
9
Landmarks
10
Problem
11
Setting up the eyes
12
Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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

Paul McWhorter
Add to list