Readme
A python library to generate CSS gradient from an image. This is a fork of https://github.com/fraser-hemp/gradify. The original gradify project had only a CLI interface. With this fork, you can use gradify as a library in your Python code.
.. image:: https://user-images.githubusercontent.com/2115303/35187613-c6fe6fe8-fe3b-11e7-9b9d-3e088e460a1d.jpg
Install the latest release from PyPI:
.. code-block:: sh
pip install gradify
.. code-block:: python
gradify.generate_css(fp, single_color=False, use_color_spread=False)
fp: a filename (string), pathlib.Path object or a file object.
The file object must implement read(), seek(), and tell() methods,
and be opened in binary mode.
single_color: only produce a single, uniform background color -
this is much quicker and has all browser support
use_color_spread: this flag will give the color which has the least
spread over the image the highest priority when assigning directions
(opposed to most dominant color). This feature improves overall accuracy,
however adds complexity and in unique cases it produces counter-intuitive results
Example:
.. code-block:: python
import gradify
css = gradify.generate_css('sample.png')
You can use Gradify class for advanced usage.
.. code-block:: python
from gradify import Gradify
# simple usage
g = Gradify('sample.png', single_color=False, use_color_spread=False)
css = g.generate_css()
# advanced usage
g = Gradify('sample.png', single_color=False, use_color_spread=False, black_sensitivity=4.3,
white_sensitivity=3, num_colors=4, resize=55, uniformness=7, use_prefixes=False)
css = g.generate_css()
Default parameters produce good result.
From original repo:
The only suggestion is increasing the uniformness (by lowering it's value). It can improve
the general case, improve speed, but decrease the upper limits of accuracy.
Increasing sensitivity to black will do the same.
Many thanks to Fraser Hemphill_ for writing the original gradify project.
MIT
.. _Fraser Hemphill: https://github.com/fraser-hemp
FAQs
A python library to generate CSS gradient from an image
We found that gradify demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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