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A HUSL color space conversion library that works with numpy

Project description

HUSL color space conversion

A color space conversion library that works with numpy. See http://husl-colors.org to learn about the HUSL color space.

Features

1. Fast conversion to RGB from HUSL and vice versa. Convert a 1080p image to HUSL in less than a second. 2. Seamless performance improvements with NumExpr, Cython, and OpenMP (whichever’s available). 3. Flexible numpy arrays as inputs and outputs. Plays nicely with OpenCV, MoviePy, etc.

Installation

  1. virtualenv env -p python3
  2. source env/bin/activate
  3. pip install numpy
  4. (optional) pip install Cython (or NumExpr, but Cython is preferred)
  5. pip install git+https://github.com/TadLeonard/husl-numpy.git

Basic usage

  • to_rgb(hsl) Convert HUSL array to RGB integer array
  • to_husl(rgb) Convert RGB integer array or grayscale float array to HUSL
  • array
  • to_hue(rgb) Convert RGB integer array or grayscale float array to array of
  • hue values

More

See https://github.com/TadLeonard/husl-numpy for complete documentation.

Project details


Release history Release notifications

This version
History Node

1.4.1

History Node

1.4.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
nphusl-1.4.1.tar.gz (63.3 kB) Copy SHA256 hash SHA256 Source None Jul 13, 2016

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