Skip to content

Latest commit

 

History

History
 
 

205-vision-background-removal

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
model
model
 
 
205-vision-background-removal.ipynb
205-vision-background-removal.ipynb
 
 
README.md
README.md
 
 

README.md

Background Removal Demo

Binder

This demo notebook shows image segmentation and removing/adding background with U^2-Net and OpenVINO™.

Image segmentation with U^2-Net and OpenVINO Background removal with U^2-Net and OpenVINO

Notebook Contents

  • Importing Pytorch library and loading U^2-Net model.
  • Converting PyTorch U^2-Net model to OpenVINO IR format.
  • Loading and preprocessing input image.
  • Doing inference on OpenVINO IR model.
  • Visualizing results.

U^2-Net source

@InProceedings{Qin_2020_PR,
title = {U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection},
author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Dehghan, Masood and Zaiane, Osmar and Jagersand, Martin},
journal = {Pattern Recognition},
volume = {106},
pages = {107404},
year = {2020}
}

Installation Instructions

If you have not installed all required dependencies, follow the Installation Guide.