Calling cv2.GrabCut() on a large image crashes Python interpreter (Bug #3468)

Added by Alex Orlov about 11 years ago. Updated over 9 years ago.

Status:Open Start date:2013-12-29
Priority:Normal Due date:
Assignee:Alex Orlov % Done:

0%
Category:python bindings
Target version:-
Affected version:branch '2.4' (2.4-dev) Operating System:Windows
Difficulty: HW Platform:x86
Pull request:

Description

Tested on OpenCV versions 2.4.6 and 2.4.7
Environment: Python 2.7.2 (x86) run under Windows 7 (x64)

Test script attached.
Image 'image.png' can be found here (6+ MB): http://vindicar.name/misc/image.png
Initial mask 'mask.png' can be found here: http://vindicar.name/misc/mask.png

When image is downsampled, function works just fine.

Is it possible for cv2.GrabCut() to circumvent such a situation, or at least to detect it beforehand?

grabcut.py - Sample code to use on images provided (964 Bytes) Alex Orlov, 2013-12-29 08:10 pm

Associated revisions

Revision 2ca39c91
Added by Vadim Pisarevsky about 10 years ago

Merge pull request #3468 from StevenPuttemans:fix_models

History

#1
Updated by Anna Kogan about 11 years ago

Hello Alex,

Thank you for reporting the problem and especially for providing the reproducer. If you could work on a solution on your side, a contribution (see How_to_contribute) would be very appreciated!

  • Affected version changed from 2.4.7 (latest release) to branch '2.4' (2.4-dev)
  • Assignee changed from Vadim Pisarevsky to Alex Orlov

#2
Updated by Anna Kogan about 11 years ago

  • Status changed from New to Open

#3
Updated by Maksim Shabunin over 9 years ago

Issue has been transferred to GitHub: https://github.com/Itseez/opencv/issues/4675

Also available in: Atom PDF