pose estimation in real time | How to capture body landmarks using MediaPipe and Python - part 6

This is a pose estimation in real time tutorial based on Python OpenCV and Mediapipe, How to capture body landmarks in real time using Python OpenCV MediaPipe - part6

This project based on Python, OpenCV and MediaPipe

in this video series you'll learn the basics for getting started with Body pose detection, facial landmark estimation and hand pose detection using a single Mediapipe library and your webcam.

Mediapipe uses deep learning models to be able to accurately detect keypoints. Using this model you can begin to prototype a whole bunch of different use cases like touchless gesture control, human sentiment analysis and could even build your own exercise counter!

This is the part 6 of a full tutorial that demonstrate how to detect body landmarks and transform it to an action

In the video we detect a specific landmarks and comapre it to another landmark to create a simple action We are detecting if a hand is raised above the nose , and adding a simple text which hand was raised

Get the Code: https://github.com/feitgemel/BodyPos/tree/master/MediaPipe/Holistic

I am using one of these desktop cameras in my projects : Logitech C270 , Simple and basic camera : https://amzn.to/3gd3cGi Logitech HD Pro Webcam C920 , A very good camera : https://amzn.to/3CZPznW Most of my projects are done using Jetson Nano developer kit : https://amzn.to/2W4KKJk A more cheaper model is the Jetson Nano 2GB Developer Kit : https://amzn.to/3mdYjRq I am using a Samsung memory card : https://amzn.to/2W4oD5K

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You can follow my playlist tutorial and learn how to do it you can find the tutorial in this link : https://youtube.com/playlist?list=PLdkryDe59y4akG_c5hYRnGxZCHb8ri1Bv

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Music : TRAVEL VLOG background music https://www.youtube.com/watch?v=VzVlMAUNjWo ... https://www.youtube.com/watch?v=OdDgSsvzhRM