class "jxlsave" not found about pyvips HOT 9 OPEN

jxlsave: error JxlEncoderProcessOutput

I could not reproduce this with the vips-dev-w64-all-8.15.2.zip binaries on my Windows 11 PC.

$ python
Python 3.12.3 (tags/v3.12.3:f6650f9, Apr  9 2024, 14:05:25) [MSC v.1938 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pyvips
>>> ref = pyvips.Image.new_from_file('zebra.jpg')
>>> ref.jxlsave('x.jxl', lossless=True)
>>> x = pyvips.Image.new_from_file('x.jxl', access='sequential')
>>> (ref - x).abs().max()
0.0
>>>

from pyvips.

Hello @euzada,

Did you try the official win binary? It should include jxlsave.

https://github.com/libvips/build-win64-mxe/releases/tag/v8.15.2

You need 8.15.2 w64 all.

from pyvips.

Hello @euzada,

Did you try the official win binary? It should include jxlsave.

https://github.com/libvips/build-win64-mxe/releases/tag/v8.15.2

You need 8.15.2 w64 all.

Yes I did. getting the following error:

  jxlsave: error JxlEncoderProcessOutput```

from pyvips.

Oh, strange, let me try here.

from pyvips.

I tried on a win10 VM and it seems to work:

jcupi@DESKTOP-HGI6HBR MINGW64 /f/Pictures
$ ../vips-dev-8.15/bin/vips.exe copy DL-742.png x.jxl

jcupi@DESKTOP-HGI6HBR MINGW64 /f/Pictures
$ ../vips-dev-8.15/bin/vips.exe --version
vips-8.15.0

And the image seems fine. I'll try with the latest build.

from pyvips.

Hi,

I figure it out. I am having this image only for output image larger than 10kx10k image. For smaller images, it works, for larger it said jxlsave not found.

from pyvips.

Could it be running out of memory? Until very recently, libjxl could use HUGE amounts of ram for larger images.

vipsdisp 3.0.4 for win is built against a recent libjxl. It could be worth checking memuse for that program when saving a large JXL image.

from pyvips.

Indeed, it sounds like an OOM error. I was able to create a 100000x100000 image without any issues.

$ python
Python 3.12.3 (tags/v3.12.3:f6650f9, Apr  9 2024, 14:05:25) [MSC v.1938 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pyvips
>>> x = pyvips.Image.black(100000, 100000, bands=3)
>>> x.jxlsave('x.jxl')
>>> pyvips.Image.new_from_file('x.jxl', access='sequential')
<pyvips.Image 100000x100000 uchar, 3 bands, srgb>
>>>

from pyvips.

I tried making a JXL image with libjxl 0.7:

$ /usr/bin/time -f %M:%e vips replicate nina.jpg x.jxl 2 3 
10983132:22.56

That's 11gb of memory for a 12k x 12k image. With 0.10.1 I see:

$ /usr/bin/time -f %M:%e vips replicate nina.jpg x.jxl 2 3 
1314856:70.23

A more reasonable 1.3gb, though it's noticeably slower for some reason.

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