Description of problem: I discovered after upgrading from f13 to f15 that digikam (actually kipi-plugins) no longer resizes my images. I tracked this due to it's use of 'convert' and was able to reproduce this on the command line: $ convert -resize 1024x600 -verbose test-18\:37.jpg small/test-18\:37.jpg test-18:37.jpg JPEG 1944x2592 1944x2592+0+0 8-bit DirectClass 2.651MB 0.130u 0:00.139 test-18:37.jpg=>small/test-18:37.jpg JPEG 1944x2592=>450x600 450x600+0+0 8-bit DirectClass 147KB 0.500u 0:00.240 $ convert -resize 1024x600 -verbose test-18\:37.jpg[0] small/test-18\:37.jpg convert: no decode delegate for this image format `37.jpg' @ error/constitute.c/ReadImage/532. convert: missing an image filename `small/test-18:37.jpg' @ error/convert.c/ConvertImageCommand/2949. whereas both versions work if the file is named "test.jpg". The problem arises due to the interaction of timestamps in the filename and the read frame modifier, '[0]', used by kipi-plugins. Further details can be found at http://www.imagemagick.org/discourse-server/viewtopic.php?f=3&t=19215&sid=92d2d107379cfc06193f308603a89948&p=75054#p75066 - the bug is apparently fixed in ImageMagick-6.7.1-2, but I haven't been able to test it yet. Version-Release number of selected component (if applicable): By testing with old livecds, I discovered that the regression was introduced sometime between 6.5.8.10-7.fc13 and 6.6.4.1-14.fc14. Additional info: I haven't been able to test the fix yet - bug #715336 prevents me from backporting http://trac.imagemagick.org/changeset/4887 to F15 and I haven't yet tried building a newer ImageMagick to test in a F16/rawhide VM.
Thank you for the bugreport, i can reproduce it. I building new version with hope it may help.
6.7.1-9 version built and problem solved by quick test. http://koji.fedoraproject.org/koji/taskinfo?taskID=3290408
I finally managed to test this in a F16 nightly image (it works! thanks) but I had to enable rawhide. Is this going to be built for F16?
I think it will be. But really I don't known. You could ask it in ML.