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gnu: eye: Sort alphabetically.

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* gnu/packages/astronomy.scm (eye): Sort alphabetically.

Change-Id: Ifd2af4f8101f95072339e8f801361bdfd57a539c
This commit is contained in:
Sharlatan Hellseher 2024-06-06 23:15:26 +01:00
parent dac6f5e8e5
commit 1de40d1b5a
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1 changed files with 30 additions and 30 deletions
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gnu/packages/astronomy.scm
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@ -601,6 +601,36 @@ (define-public erfa
International Astronomical Union}.")
(license license:bsd-3)))
(define-public eye
(package
(name "eye")
(version "1.4.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/astromatic/eye")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32 "1j8rpgz3fjp6fw0qmxgfqycf3n01fzxds4w12vgyrhbnk658ia41"))))
(build-system gnu-build-system)
(arguments
(list
#:configure-flags
#~(list "CPPFLAGS=-fcommon"))) ; fix build with GCC 10
(home-page "https://www.astromatic.net/software/eye")
(synopsis "Small image feature detector using machine learning")
(description
"In @acronym{EyE, Enhance Your Extraction} an artificial neural network
connected to pixels of a moving window (@dfn{retina}) is trained to associate
these input stimuli to the corresponding response in one or several output
image(s). The resulting filter can be loaded in SExtractor to operate
complex, wildly non-linear filters on astronomical images. Typical
applications of EyE include adaptive filtering, feature detection and cosmetic
corrections.")
(license license:cecill)))
(define-public python-aplpy
(package
(name "python-aplpy")
@ -1001,36 +1031,6 @@ (define-public ginga-qt5
(prepend python-pyqt)))
(synopsis "Qt5 image viewer build based on python-ginga library")))
(define-public eye
(package
(name "eye")
(version "1.4.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/astromatic/eye")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32 "1j8rpgz3fjp6fw0qmxgfqycf3n01fzxds4w12vgyrhbnk658ia41"))))
(build-system gnu-build-system)
(arguments
(list
#:configure-flags
#~(list "CPPFLAGS=-fcommon"))) ; fix build with GCC 10
(home-page "https://www.astromatic.net/software/eye")
(synopsis "Small image feature detector using machine learning")
(description
"In @acronym{EyE, Enhance Your Extraction} an artificial neural network
connected to pixels of a moving window (@dfn{retina}) is trained to associate
these input stimuli to the corresponding response in one or several output
image(s). The resulting filter can be loaded in SExtractor to operate
complex, wildly non-linear filters on astronomical images. Typical
applications of EyE include adaptive filtering, feature detection and cosmetic
corrections.")
(license license:cecill)))
(define-public wcslib
(package
(name "wcslib")