Legacy ImageMagick Discussions Archive

Ok, I've got it working (the whole thing is a multithread keyframe-based animation system). In the end I had to directly call convert as a sub-process, as no python binding apparently provides the viewport feature. Yes, the documentation is a bit confusing at first for someone who doesn't know the ...

Ok, I think I've understood the srt part. This would explain why the output of these two commands is the same, also in terms of visual detail: convert 1.tif -define distort:viewport=900x600+0+0 -distort SRT "0.5,0 0.5 0 0,0" 1_single.tif convert 1.tif -distort SRT "0.5,0 1 0 0,0" -define distort ...

Ok but IIRC the SRT first applies scale, then translate: shouldn't there be more detail left if I downscale at the end?

I'm not trying to save fractionary pixel dimensions, I extract a fractionary region (fractionary - in terms of position and dimensions - on the original image, but it's rigidly scaled to integer dimensions prior to cropping/viewporting) and then save it.

Thank you very much for your answers. So, given my crop regions have both noninteger dimensions and location, IIUC I have to 1- translate with SRT by a float amount so the region to be cropped has its top-left pixel at (0,0) 2- resize (with SRT) so that the region to be cropped has integer ...

Hi all, I'm trying to implement some basic panning/zooming animation where several (overlapping) regions are cropped from an image at slowly moving locations. These locations often happen to be specified by floating point pixel indices, which the normal -crop operator converts to integer: the result ...

Gimp 2.9.3, which supports up to 32-bits per channel and floating point.

Now this is weird: opening the image (2.tif) with gimp I get the full 16-bits (there are more than 256 values and the histogram has a beautifully continuous and solid shape). So it really looks like IM is missing something... :( P.S.: the channels are not identical, landsat images need a strong ...

Hi all, I'm trying to use convert to combine the three r, g and b bands of a landsat scene into an rgb image. The bands are 16-bits grayscale, the command I use is convert -combine {4,3,2}.tif -depth 16 rgb.tif The result is indeed 16-bits-per-channel, but apparently during the process there is some ...