diff options
author | Vinicius Monego <[email protected]> | 2023-06-09 14:58:50 +0000 |
---|---|---|
committer | Sharlatan Hellseher <[email protected]> | 2025-02-11 16:04:52 +0000 |
commit | 5ff5a2b2cf5ff5d191848fcf060d79d6ffc13c11 (patch) | |
tree | dd76282adb26de05d89f40ad8d376e1dd1729066 /gnu | |
parent | a7d7a1ec0b56f985c22b80056040a5e2ec012a80 (diff) |
gnu: Add python-imagehash.
* gnu/packages/python-science.scm (python-imagehash): New variable.
Co-authored-by: Sharlatan Hellseher <[email protected]>
Signed-off-by: Sharlatan Hellseher <[email protected]>
Change-Id: Ie773b4504d97ac2678e0776a27eb661d909fed47
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/python-science.scm | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index bcd16724b1..1f4cdb239a 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -253,6 +253,52 @@ numerical software for solving convex second-order cone programs (SOCPs).") formulas for Python.") (license license:expat))) +(define-public python-imagehash + (package + (name "python-imagehash") + (version "4.3.1") + (source + (origin + (method git-fetch) ;no tests in PyPI + (uri (git-reference + ;; It's an effective and maintained fork of + ;; <https://github.com/bunchesofdonald/photohash> project, which + ;; has the latest release in 2016. + (url "https://github.com/JohannesBuchner/imagehash") + (commit (string-append "v" version)))) + (file-name (git-file-name name version)) + (sha256 + (base32 "1lw9lxzrzy9s5v3xc35vmh97hlyavnla087fp19k77va6v8vbjjf")))) + (build-system pyproject-build-system) + (native-inputs + (list python-pytest + python-setuptools + python-wheel)) + (propagated-inputs + (list python-numpy + python-pillow + python-pywavelets + python-scipy)) + (home-page "https://github.com/JohannesBuchner/imagehash") + (synopsis "Perceptual Image Hashing library") + (description + "This package implements a functinoality to tell whether two images look +nearly identical. The image hash algorithms (average, perceptual, difference, +wavelet) analyse the image structure on luminance (without color information). +The color hash algorithm analyses the color distribution and black & gray +fractions (without position information). + +Features: +@itemize +@item average hashing +@item perceptual hashing +@item difference hashing +@item wavelet hashing +@item HSV color hashing (colorhash) +@item crop-resistant hashing +@end itemize") + (license license:bsd-2))) + (define-public python-osqp (package (name "python-osqp") |