real-time semantic segmentation | How to detect objects In live camera Pixellib Python , OpenCV

How to detect objects using semantic segmentation In real time or live camera based on Pixellib Python , OpenCV

The is a real-time semantic segmentation tutorial

This is part 17 of a full PixelLib tutorial.

Pixellib is a library for performing segmentation of objects in images and videos and live camera

You can find the code along for example files in this link : https://github.com/feitgemel/Object-Detection/tree/main/Pixellib

The videos are practical and hands-on , and you can follow the steps for a full implementations

This tutorial elaborates how to detect objects using semantic segmentation In live camera based on Pixellib, Python and OpenCV

I am using one of these desktop cameras in my projects : Logitech C270 , Simple and basic camera : https://amzn.to/37CAPjO Logitech HD Pro Webcam C920 , A very good camera : https://amzn.to/3rM1Lof

I recommend using the Jetson Nano developer kit. You can find it here : https://amzn.to/3k89Jni I am using a Samsung memory card :https://amzn.to/37JHV66

Anyone who wants to improve his/her Python skills , follow this book: https://amzn.to/37xv47j

I also recommend CNN Course book for neural network lovers . follow this link : https://amzn.to/3xKqZY1

#OpenCV #Pixellib

#Python

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