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| author | Tobias Geerinckx-Rice <me@tobias.gr> | 2023-07-02 02:00:00 +0200 |
|---|---|---|
| committer | Tobias Geerinckx-Rice <me@tobias.gr> | 2023-07-02 02:00:01 +0200 |
| commit | 5df23828429959fb9271678a7f5704be468e273c (patch) | |
| tree | 799660c409e7c85ea5b9981a78709094a71fdbb7 /gnu/packages/astronomy.scm | |
| parent | b67d61a05b15d2eae32eb5f84c82291c4ae7e57e (diff) | |
gnu: eye: Mark up description.
* gnu/packages/astronomy.scm (eye)[description]: Use @acronym{} and @dfn{}.
Diffstat (limited to 'gnu/packages/astronomy.scm')
| -rw-r--r-- | gnu/packages/astronomy.scm | 13 |
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 |