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Image palette detection in Python modelled after Paul Annesley's color detectorin PHP. colorific determines what the most important colors used in your imageare, and if one of them is a background color.
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Installation
Lightwave 2019 0 3 cc. The easiest way to install colorific is with Python's pip and virtualenv: Gta san andreas for pc highly compressed.
You can then run colorific from
./colorific-sandbox/bin/colorific
.Usage
colorific is meant to run in a streaming manner. You can run it on a single image by echo'ing in the image:
Each input line should be a filename. Each output line will be a tab-delimited string containing the filename, major colors in order, and (optionally) a detected background color.
To run on an entire directory tree of images:
For a small amount of images, colorific can also be invoked with the image file names provided as arguments:
You can also get a rendered palette with hex codes for each image with the
-o
argument:You can use an experimental multiprocessing mode with the
-n
argument. For example, to run the same example using 8 processes:You can also get usage information by running
colorific --help
.Example
Here's a concrete example of use. This is the NASA Ares logo:
Let's run palette detection on it:
These correspond to the colors:
Note that black and white have been stripped away, and minor colors introducedthrough antialiasing are not present.
Changelog
0.3.0
- Python 3 support
- Bump colormath version to 2.0.2
0.2.2
- Use the recent 1.7.8 Pillow release instead of the master branch
- Pin the colormath to 1.0.9 or earlier, given API changes in newer code
0.2.1
- Project renamed to
colorific
- Tuning around quantization and color merging
- Use patched Pillow dependency to avoid segmentation fault bug
- Support for outputting a palette file per image
0.2.0
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- Tuning around background color, similarity thresholds for merging, and minimum saturation
- Make an importable module
0.1.0
- Functional palette detection
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