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

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

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

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

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I am using one of these desktop cameras in my projects :
Logitech C270 , Simple and basic camera : https://amzn.to/3ilFGcf
Logitech HD Pro Webcam C920 , A very good camera : https://amzn.to/3uV5r5T
Most of my projects are done using Jetson Nano developer kit : https://amzn.to/3qohEO6
A more cheaper model is the Jetson Nano 2GB Developer Kit : https://amzn.to/34PL2EE
I am using a Samsung memory card : https://amzn.to/2PDH5i4
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You can find the code along for example files in this link :
https://github.com/feitgemel/Object-Detection/tree/main/Pixellib
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#EranFeit
#Pixellib
#Python
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Music by Vincent Rubinetti
Download the music on Bandcamp:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify:
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u

PixellibPythonObject detection