Skip to content

JoshuaRabiu/haishoku-mod

 
 

Repository files navigation

Haishoku

haishoku is a JP word, it means palette in English.

Haishoku is a development tool for grabbing the dominant color or representative color palette from an image, it depends on Python3 and Pillow.

Feature

  1. Grab the dominant color from a image.

  2. Grab the representative color palette from a image.

  3. From v1.1.4, Haishoku could load a image from remote url.

Demo

demo

( original image's source: dribbble )

Installation

pip3 install haishoku

or maybe you should use

python3 -m pip install haishoku

Api

• loadHaishoku( image )

from haishoku.haishoku import Haishoku
haishoku = Haishoku.loadHaishoku(image)

it will return a Haishoku instance, and you can use haishoku.dominant and haishoku.palette to get the image's dominant color and color palette

Also, you can use more immediately api to get them or show them temporarily, just like below:

• getDominant( image )

from haishoku.haishoku import Haishoku
dominant = Haishoku.getDominant(image)

returns: (R, G, B) tuple

• showDominant( image )

from haishoku.haishoku import Haishoku
Haishoku.showDominant( image )

it will open a temporary image to show the dominant color.

• getPalette( image )

from haishoku.haishoku import Haishoku
palette = Haishoku.getPalette( image )

returns: [(percentage, (R, G, B)), (percentage, (R, G, B)), ...] Array length <= 8

• showPalette( image )

from haishoku.haishoku import Haishoku
Haishoku.showPalette( image )

This method now saves the image of the palette as a .PNG, instead of displaying a temporary .BMP image.
The generated .PNG can be accessed outside of the package like so:

from haishoku.haishoku import Haishoku
import haishoku.haillow

#generates the palette
Haishoku.showPalette(comment.submission.url)

palette_image = haishoku.haillow.image_name

中文文档

中文文档

About

A fork of https://github.com/LanceGin/haishoku that's been modified to work with my Reddit Bot

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%