PIXELLIB’S OFFICIAL DOCUMENTATION

PixelLib is a library created for performing image and video segmentation using few lines of code. It is a flexible library created to allow easy integration of image and video segmentation into software solutions.

PixelLib requires python’s version 3.5-3.7, Download python

It requires pip’s version >= 19.0

Install pip with:

pip3 install pip

Install PixelLib and its dependencies:

Install the latest version of tensorflow(Tensorflow 2.0+) with:

pip3 install tensorflow

Install PixelLib with:

pip3 install pixellib --upgrade

PixelLib supports the two major types of segmentation:

1 Semantic segmentation: Objects in an image with the same pixel values are segmented with the same colormaps.

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Semantic segmentation of images with PixelLib using Ade20k model

https://www.youtube.com/watch?v=_NsELe67UxM

Semantic segmentation of videos with PixelLib using Ade20k model

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Semantic segmentation of images with PixelLib using Pascalvoc model

https://www.youtube.com/watch?v=_NsELe67UxM

Semantic Segmentation of videos with PixelLib using Pascalvoc model

2 Instance segmentation: Instances of the same object are segmented with different color maps.

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Instance segmentation of images with PixelLib

Instance segmentation of videos with PixelLib

CONTACT INFO:

olafenwaayoola@gmail.com

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