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        "author": "Rhys Hansen",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Topic :: Artistic Software",
            "Topic :: Multimedia :: Graphics"
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        "description": "========================================\nimagecolors - Extract colors from images\n========================================\n\n|version| |github| |python35| |license| |format|\n\n.. |version| image:: https://img.shields.io/pypi/v/imagecolor.svg\n    :target: https://pypi.python.org/pypi/imagecolor\n.. |python35| image:: https://img.shields.io/badge/Python-3.5-brightgreen.svg\n    :target: https://www.python.org/\n.. |license| image:: https://img.shields.io/badge/License-MIT-blue.svg\n    :target: https://github.com/Tathorack/imagecolor/blob/master/LICENSE.md\n.. |github| image:: https://img.shields.io/github/tag/Tathorack/imagecolor.svg\n   :target: https://github.com/Tathorack/imagecolor\n.. |format| image:: https://img.shields.io/pypi/format/imagecolor.svg\n    :target: https://pypi.python.org/pypi/imagecolor\n\n------------------------------------------------------------\nThis module uses PIL (Pillow) to extract colors from images\n------------------------------------------------------------\n\nAvailable functions\n===================\naverage(image, name=None, downsample=True, max_size=100, alpha_threshold=None)\n==============================================================================\nAverages a single image into RGB color values. Returns a dictionary with the following keys: ``name``, ``red``, ``green``, ``blue``\n\n* ``image`` - 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.\n* ``name`` -  auto generated from image path by calling ``image.split(os.sep)[-1]`` unless set.\n* ``downsample`` - chooses if downsampling is enabled to speed up processing. Enabled by default.\n* ``max_size`` - max length of longest side if ``downsample`` is True\n* ``alpha_threshold`` - level at which transparent pixels are excluded from the average. Default is 245\n\naverage_images(dir_in)\n======================\nAverages each individual image in a directory and returns a list with an entry for each image successfully averaged. Returns a list containing a dictionary for each image with the following keys: ``name``, ``red``, ``green``, ``blue``\n\n* ``dir_in`` - path to directory\n\ndirectory_average(dir_in, name=None)\n====================================\nAverages all images in a directory to a singular RGB directory average. Returns a dictionary with the following keys: ``name``, ``red``, ``green``, ``blue``\n\n* ``dir_in`` - path to directory\n* ``name`` - auto generated from directory path by calling ``dir_in.split(os.sep)[-1]`` unless set.\n\nnested_directory_average(root_dir)\n==================================\nAccepts the path to a directory and walks all the enclosed directories calling ``average_directory`` for each one that contains images. Returns a list containing a dictionary for each directory with the following keys: ``name``, ``red``, ``green``, ``blue``\n\n* ``root_dir`` - path to starting directory\n\nFuture work\n===========\n* add usage examples to readme\n* add information for loadsave functions to readme\n\nTests\n=====\nTesting is done with pytest_\n\n.. _pytest: http://docs.pytest.org/en/latest/\n\nRun with ``python3 setup.py test``\n\n\n",
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