Pose estimation in real time | How to detect and move objects in real time using Mediapipe - part 3

This is a Python OpenCV tutorial based on Mediapipe model. pose estimation in real time is the main concept of this tutorial. You can learn how to detect and move objects in real time by hands and fingers using 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!

In this video, the third part of a full tutorial , you will learn how detect and grab objects in real time using hands , fingers and joints

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

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You should complete the previous step :the code for the previous step is in the same GitHub repository https://github.com/feitgemel/BodyPos/tree/master/MediaPipe/HandPos The project uses the Hands MediaPipe Model

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This is video is part of a tutorial with step by step examples of hand estimation in real time you can find the tutorial in this link : https://youtube.com/playlist?list=PLdkryDe59y4akG_c5hYRnGxZCHb8ri1Bv

You can find more similar videos openCV idea in this playlist : : https://www.youtube.com/watch?v=gYg9ZuHm6vU&list=PLdkryDe59y4bntrhmeAjPqmn8KaOJRL6J

#Python #MediaPipe #OpenCV

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