AI for Everyone HOMEWORK SOLUTION 18: Parsing Mediapipe Landmark Data

You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:

In these lessons we will be using a logitech webcam. If you use the identical camera that I have, you will be ensured to get the same results. I suggest your life will be easier if you use the same camera I am using, available from Amazon below:

In this video I will show how to do hand detection and pose estimation in python with OpenCV and mediapipe. Mediapipe does the hard work for you, but returns a difficult data structure. In this lesson I show you how to parse the mediapipe landmark data to create simple to use data structures. I show you how to do this with a function, and then show you a more elegant solution using a python class.

[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]


Leave a Reply

Your email address will not be published.