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AI for Everyone LESSON 23 SOLUTION: Parsing Mediapipe Pose, Face Mesh and Hand Landmarks
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Artificial Intelligence for Everyone: An Introduction to AI for Absolute Beginners - AI for Everyone LESSON 23 SOLUTION: Parsing Mediapipe Pose, Face Mesh and Hand Landmarks

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This course includes

  • 31 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

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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: https://www.patreon.com/PaulMcWhorter 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: https://amzn.to/3iwgIW0 In this video I will show you how you how you can use Mediapipe, OpenCV and Python to quickly find face landmarks from streaming video in real time. We show how to both find and display a mediapipe face mesh. We create a python class to be a useful tool for interacting with Mediapipe in future programs. Using this class the Face Mesh landmarks are put in a simple array data structure, and are easy to interact with. [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 amazon.com. 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.] #openCV #Python #mediapipe

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