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gnu: Add python-pims.

* gnu/packages/image-processing.scm (python-pims): New variable.

Change-Id: I33e89dd865a38b526a1f766cf321a6c67a170a36
master
Ricardo Wurmus 2024-04-19 14:10:03 +02:00
parent 7ca1a02030
commit fbfd58b5bf
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@ -1704,6 +1704,46 @@ purposes.")
segmentation.")
(license license:expat)))
(define-public python-pims
(package
(name "python-pims")
(version "0.6.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "PIMS" version))
(sha256
(base32 "0fsg353mbbj1ad06nwrp8p9xcrzy6rca6b52nvlbraaf3m309dz2"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; We don't have all the (sometimes very large) data files, so we skip
;; these tests.
'(list "--ignore=pims/tests/test_imseq.py"
"--ignore=pims/tests/test_norpix.py"
"-k"
(string-append " not TestImageReaderTIFF"
" and not TestOpenFiles"
" and not TestSpeStack"
" and not TestTiffStack_pil"
" and not TestTiffStack_tifffile"
" and not TestVideo_ImageIO"))))
(propagated-inputs
(list python-imageio python-numpy python-slicerator))
(native-inputs (list python-pytest))
(home-page "https://github.com/soft-matter/pims")
(synopsis "Python Image Sequence")
(description "Scientific video can be packaged in various ways: familiar
video formats like @file{.AVI} and @file{.MOV}, folders full of numbered
images, or \"stacks\" of TIFF images. Each of these requires a separate
Python module. And, once loaded, they have different methods for accessing
individual images, looping through the images in bulk, accessing a specific
range, or dealing with multidimensional files. PIMS can do all of these using
a consistent interface, handling the differences between different inputs
invisibly.")
(license license:bsd-3)))
(define-public python-spatial-image
(package
(name "python-spatial-image")