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        "author": "Lars Yencken",
        "author_email": "lars@yencken.org",
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            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: ISC License (ISCL)",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
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        "description": "colorific\n=========\n\n.. image:: https://badge.fury.io/py/colorific.png\n    :target: http://badge.fury.io/py/colorific\n\n.. image:: https://travis-ci.org/99designs/colorific.png?branch=master\n        :target: https://travis-ci.org/99designs/colorific\n\n.. image:: https://pypip.in/d/colorific/badge.png\n        :target: https://crate.io/packages/colorific?version=latest\n\nImage palette detection in Python modelled after Paul Annesley's color detector\nin PHP. colorific determines what the most important colors used in your image\nare, and if one of them is a background color.\n\n*by Dennis Hotson & Lars Yencken*\n\nInstallation\n------------\n\nThe easiest way to install colorific is with Python's pip and virtualenv::\n\n    $ virtualenv colorific-sandbox\n    $ ./colorific-sandbox/bin/pip install colorific\n\nYou can then run colorific from ``./colorific-sandbox/bin/colorific``.\n\nUsage\n-----\n\ncolorific is meant to run in a streaming manner. You can run it on a single image by echo'ing in the image::\n\n    $ echo myimage.png | colorific\n    myimage.png #3e453f,#2ea3b7,#bee6ea,#51544c,#373d38 #ffffff\n\nEach 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.\n\nTo run on an entire directory tree of images::\n\n    $ find . -name '*.jpg' | colorific\n\nFor a small amount of images, colorific can also be invoked with the image file names provided as arguments::\n\n    $ colorific myimage.png\n    myimage.png #3e453f,#2ea3b7,#bee6ea,#51544c,#373d38 #ffffff\n\nYou can also get a rendered palette with hex codes for each image with the ``-o`` argument::\n\n    $ colorific -o myimage.png\n    myimage.png #3e453f,#2ea3b7,#bee6ea,#51544c,#373d38 #ffffff\n    $ ls\n    myimage.png  myimage_palette.png\n\nYou can use an experimental multiprocessing mode with the ``-n`` argument. For example, to run the same example using 8 processes::\n\n    $ find . -name '*.jpg' | colorific -p 8\n\nYou can also get usage information by running ``colorific --help``.\n\nExample\n-------\n\nHere's a concrete example of use. This is the NASA Ares logo:\n\n.. image:: http://media.quietlyamused.org.s3.amazonaws.com/palette/500px-NASA-Ares-logo.svg.png\n\nLet's run palette detection on it::\n\n    $ echo 500px-NASA-Ares-logo.svg.png | colorific\n    500px-NASA-Ares-logo.svg.png  #0065b9,#bbd6ec,#ff0000\n\nThese correspond to the colors:\n\n.. image:: http://media.quietlyamused.org.s3.amazonaws.com/palette/ares-palette.png\n\nNote that black and white have been stripped away, and minor colors introduced\nthrough antialiasing are not present.\n\nChangelog\n---------\n\n0.3.0\n~~~~~\n\n- Python 3 support\n- Bump colormath version to 2.0.2\n\n0.2.2\n~~~~~\n\n- Use the recent 1.7.8 Pillow release instead of the master branch\n- Pin the colormath to 1.0.9 or earlier, given API changes in newer code\n\n0.2.1\n~~~~~\n\n- Project renamed to ``colorific``\n- Tuning around quantization and color merging\n- Use patched Pillow dependency to avoid segmentation fault bug\n- Support for outputting a palette file per image\n\n0.2.0\n~~~~~\n\n- Tuning around background color, similarity thresholds for merging, and minimum saturation\n- Make an importable module\n\n0.1.0\n~~~~~\n\n- Functional palette detection",
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