/Grabcut

This software implements major portions of the GrabCut Algorithm, a markov random field based image segmentation algorithm, a variant of which you might have seen available in Microsoft Office Products as the background removal tool.

Primary LanguagePython

Grabcut-Revisited

Codebase and Report while reproducing the paper GrabCut.

How to run

  • Install dependencies: python packages are opencv-python and igraph.
    Conda env file has been provided to be used as conda env create -f env.yml.

  • Run: python3 run.py [image.jpg]

Controls

  • Draw an rectanlge inside the input image using right click. Make sure to not to leave any part of foreground outside it.

  • Press n to initiate segmentation. Press repeatedly for more iteration.

  • After initial segmentation, user can touch up using brushes click by left-clicks. Press the following keys to change the brush type:

    • 0: Sure background.
    • 1: Sure foreground.
    • 2: Probably background.
    • 3: Probably foreground.

  • After brush strokes press n again to run algorithm.

  • Press r to reset the image.

  • Press s to save current image as out.png.

Explanations and Report

Find the explanations, report and experiments done in the given pdf.

Project by

  • Aman Rojjha (2019111018)
  • Bhaskar Joshi (2019111002)
  • Vedansh Mittal (2019101054)
  • Utkarsh Upadhyay (2019101010)