So the data windows are not restricted to their tiled areas? Each file has a 
full data window, but only part you care about, and there may be non-black 
pixel values outside of that?

Are the files/tiles at least all the same size (if offset)? And are they named 
something sensible?


> On Jul 29, 2019, at 5:39 PM, Carl Bérubé <[email protected]> wrote:
> 
> That's correct! Sorry if this wasn't clear! 
> 
> Each tile has the full data window, so in Nuke we currently just merge them 
> on top of each other! Unfortunately we can't do that anymore as some garbage 
> pixels just appeared outside the tile's rectangle and they get added to the 
> final image!
> 
> Does that make sense?
> 
> On Mon, Jul 29, 2019 at 8:35 PM Larry Gritz <[email protected] 
> <mailto:[email protected]>> wrote:
> I'm not quite sure what you're trying to do. Is this the gist...?
> 
> You broke up a large frame into several overlapping pieces and you're trying 
> to recombine again, is that it? Do they all have their data windows set 
> correctly to their section, so that among them all they are all exactly 
> abutting and non-overlapping? And do they all have the same display window 
> that indicates the size of the full frame you are trying to assemble?
> 
> 
> 
> 
>> On Jul 29, 2019, at 5:13 PM, Carl Bérubé <[email protected] 
>> <mailto:[email protected]>> wrote:
>> 
> 
> 
>> Hey! 
>> 
>> Sorry about the confusing title! 
>> 
>> I'm dealing with a small issue and I'm curious to know if either oiiotool or 
>> the Python binding of OpenImageIO can help me do what I want...
>> 
>> I've got EXR images with lots of channels (~50 -- cryptomatte and all) 
>> rendered in regions, but the buffer is the full resolution. 
>> 
>> So you can split it in tiles, and they can be uneven -- 5 rows and 7 columns 
>> for example. 
>> 
>> I didn't think it was possible to do it through oiiotool, but I've managed 
>> to do with I wanted with the Python Binding so far, but it hasn't been as 
>> efficient as I thought it would be... 
>> 
>> My pseudo code would go as follow :
>> 
>> final_image_buffer = OpenImageIO.ImageBuffer(full_frame_spec)
>> 
>> for tile_file_path, rect in tile_file_paths:
>>      tile_image_buffer = OpenImageIO.ImageBuf(tile_file_path)
>>      roi_cropped = OpenImageIO.ROI(*rect) # it's like (xbegin, xend, ybeing, 
>> yend)
>>      OpenImageIO.ImageBufAlgo.copy(final_image_buffer, tile_image_buffer, 
>> roi=roi_cropped)
>> 
>> final_image_buffer.write(output_path)
>> Now that works pretty well, like I said, but it is very slow. Eventually 
>> that might not be that big of a deal when it goes on better farm machines 
>> than my development toaster oven, but is there anything obvious that I'm 
>> missing? Would oiiotool be able to deal with this more efficiently?
>> 
>> Thanks! 
> 
>> _______________________________________________
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> 
> --
> Larry Gritz
> [email protected] <mailto:[email protected]>
> 
> 
> 
> 
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--
Larry Gritz
[email protected]




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