Pose estimation in real time | How to detect objects by hands in images using Mediapipe and Python

This is a pose estimation in real time tutorial based on Python, OpenCV , and Mediapipe. How to design images , detect objects in images in real time by hands using Python OpenCV , and MediaPipe

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!

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

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

I recommend the following edition of the best-selling Python book in the world. A real fast-paced, no-nonsense guide to programming in Python The link for Amazon : https://amzn.to/3A7DECz

Another book is this excellent deep learning, Tensor flow and Keras book. Deep Learning is a complicated subject that is often difficult to explain and implement. In this book, Antonio Gulli, Dr Amita Kapoor, and Sujit Pal provide an effective overview of DL basics but also cover advanced topics for real-life implementations of DL and ML systems. The Amazon link for this wonderful book : https://amzn.to/3z4Rrs6

Another well written book with excellent examples and a good tour of the basics to understand image processing and computer vision. Great place to start : https://amzn.to/3zAqKwI

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

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