_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-imagehash 4.3.2
Propagated dependencies: python-numpy@2.3.1 python-pillow@12.1.1 python-pywavelets@1.8.0 python-scipy@1.16.3
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/JohannesBuchner/imagehash
Licenses: FreeBSD
Build system: pyproject
Synopsis: Perceptual Image Hashing library
Description:

This package implements a functionality 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:

  • average hashing

  • perceptual hashing

  • difference hashing

  • wavelet hashing

  • HSV color hashing (colorhash)

  • crop-resistant hashing

Total packages: 1