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authorTobias Geerinckx-Rice <me@tobias.gr>2023-07-02 02:00:00 +0200
committerTobias Geerinckx-Rice <me@tobias.gr>2023-07-02 02:00:01 +0200
commit5df23828429959fb9271678a7f5704be468e273c (patch)
tree799660c409e7c85ea5b9981a78709094a71fdbb7 /gnu/packages
parentb67d61a05b15d2eae32eb5f84c82291c4ae7e57e (diff)
downloadguix-5df23828429959fb9271678a7f5704be468e273c.tar.gz
guix-5df23828429959fb9271678a7f5704be468e273c.zip
gnu: eye: Mark up description.
* gnu/packages/astronomy.scm (eye)[description]: Use @acronym{} and @dfn{}.
Diffstat (limited to 'gnu/packages')
-rw-r--r--gnu/packages/astronomy.scm13
1 files changed, 7 insertions, 6 deletions
diff --git a/gnu/packages/astronomy.scm b/gnu/packages/astronomy.scm
index 564dbbe71b..04cde447c4 100644
--- a/gnu/packages/astronomy.scm
+++ b/gnu/packages/astronomy.scm
@@ -660,12 +660,13 @@ International Astronomical Union}.")
(home-page "https://www.astromatic.net/software/eye")
(synopsis "Small image feature detector using machine learning")
(description
- "In EyE (Enhance Your Extraction) an artificial neural network connected to
-pixels of a moving window (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.")
+ "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