A module to produce CSS gradients as placeholders for images.
0.1 (beta)
The JS version was quickly written to use as an example on the website, and needs futher work. The python source also needs some optimization/styling, especially deep cross-browser support and PNG support.
Currently only accepts JPG images
For a quick demo of gradify, simply place some images within the same directory and run:
$ python gradify.py --demo --spread
To see the flags and their uses
python gradify.py help
--demo
DEMO (opt) - this flag will display the images next to their gradient on a webpage on completion.
--spread
SPREAD (opt) - 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
--single
SINGLE (opt) - Only produce a single, uniform background color - this is much quicker and has all browser support
-c --classname
CLASSNAME (opt) - custom classname for the CSS rules to be assigned to (needs work)
-f --file
FILE (opt) specify a single image file to be used
-d --dir
DIR (opt) - specify a directory to be used. If not used (and not -f), current dir will be used. Only files with "jpg" extension will be used.
Other important notes: There are constants you can tweak which will later be flags (Black/White sensitivity, image resolution, uniformness of colors) although generally the default vals are generally best.
My only suggestion is increasing the uniformness (by lowering it's val) can improve the general case, improve speed, but decrease the upper limits of accuracy. Increasing sensitivity to black will do the same.
Gradify depends on Pillow, which you may install using
pip install Pillow
In case you get the error message ImportError: No module named PIL, you need to install Pillow first.
Copyright (c) 2015 Fraser Hemphill
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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