3D Pose Estimation including Z-Depth: The Coolest Tech You Can DIY

In this video, we discuss the fascinating world of MediaPipe, an open-source framework developed by Google, renowned for its real-time pose detection, hand tracking, and face detection capabilities. We'll explore MediaPipe's 3D pose estimation features and demonstrate how to detect human poses in images, visualize the detected landmarks, and analyze the depth information provided by MediaPipe.

In this video, you'll learn:
*Introduction to MediaPipe:* Understanding the basics of this powerful framework and its applications in computer vision.
*Pose Estimation:* How to detect human poses using MediaPipe and visualize the landmarks on images.
*Depth Analysis:* Analyzing the z-values of landmarks to determine the relative distance of body parts from the camera.
*Practical Applications:* Exploring how MediaPipe's 3D pose estimation can be used in sports analytics, physical therapy, virtual reality (VR), augmented reality (AR), gaming, robotics, animation, film production, and security and surveillance.

Chapters:
0:00 - Introduction to MediaPipe
1:00 - Required Packages
1:15 - Start of Code
2:38 - What is 'visibility' of a landmark point in MediaPipe?
3:51 What is the z-coordinate of a landmark point in MediaPipe?
3:45 - Detecting and Drawing Poses
4:51 - Analyzing Depth Information
5:52 - Practical Applications of 3D Pose Estimation

*Google's pose landmark detection guide:*

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Dr. Shahriar Hossain