Metadata-Version: 2.1
Name: extcolors
Version: 0.1.3
Summary: Extract colors from an image. Colors are grouped based on visual similarities using the CIE76 formula.
Home-page: https://github.com/CairX/extract-colors-py
Author: CairX
Author-email: lazycairx@gmail.com
License: MIT
Description: =================
        extract-colors-py
        =================
        Command-line tool to extract colors from an image.
        The result will presented in two formats, text and image.
        
        The text result will provide the usage of each color in the number of pixels and percentage.
        While the image will provide a palette for a visual representation.
        
        .. contents:: Table of Contents
        .. section-numbering::
        
        
        ------------
        Installation
        ------------
        +++++++
        Package
        +++++++
        ::
        
            $ pip install extcolors
        
        ++++++++
        Manually
        ++++++++
        1. Download repository as zip.
        2. Unpack zip into folder.
        3. Enter folder.
        4. Run the following command: ::
        
                $ pip install .
        
        -----
        Usage
        -----
        +++++++++++++++
        Input - Console
        +++++++++++++++
        To use the application provide a path to the image that the application should extract colors from.
        In the following example the image is in the folder we are executing the command and the name of the image is ``gameboy.png``:
        
        ::
        
            $ extcolors gameboy.png
        
        In this example ``gameboy.png`` refers to the following `image <https://dribbble.com/shots/1056595-Gameboy-Free-PSD>`_
        created by `Rebecca Machamer <https://dribbble.com/rebeccamachamer>`_.
        
        .. image:: http://cairns.se/extcolors/gameboy.png
        
        ++++++++++++++
        Input - Script
        ++++++++++++++
        To use the application provide a path to the image that the application should extract colors from.
        In the following example the image is in the folder we are executing the command and the name of the image is ``gameboy.png``:
        
        .. code:: python
        
            >>> import extcolors
            >>> colors, pixel_count = extcolors.extract("gameboy.png")
            >>> print(colors)
            [((0, 172, 170), 385938), ((245, 245, 245), 59971), ((82, 90, 92), 17564), ((102, 184, 52), 15096), ((236, 27, 111), 1270), ((255, 180, 0), 121), ((252, 94, 158), 40)]
        
        +++++++++++++
        Output - Text
        +++++++++++++
        When the application is done it will output information about the execution.
        Probably the most relevant information is the ``[RESULT]``-section that contains the extracted colors
        in RGB values and their occurrence rate presented in percentages.
        
        Output based on ``gameboy.png``: ::
        
            Extracted colors:
            (245, 245, 245):  12.49% (59971)
            (82, 90, 92)   :   3.66% (17564)
            (102, 184, 52) :   3.15% (15096)
            (236, 27, 111) :   0.26% (1270)
            (255, 180, 0)  :   0.03% (121)
            (252, 94, 158) :   0.01% (40)
        
            Pixels in output: 480000 of 480000
        
        ++++++++++++++
        Output - Image
        ++++++++++++++
        When the application is done it will also create an image in the directory where the command was executed.
        The image will contain the colors that where extracted sorted based on their occurrence rate, wrapping from  from left to right.
        The image will use the name of the original image appended with a time stamp of when the execution took place.
        
        Output based on ``gameboy.png``:
        
        .. image:: http://cairns.se/extcolors/gameboy-result-default.png
        
        
        ------------------
        Additional Options
        ------------------
        Generated output from the command-line argument ``extcolors --help``.
        
        ::
        
            usage: extcolors [-h] [--version] [-t [N]] [-l [N]] [-o {all,image,text}] PATH
        
            Extract colors from a specified image. Colors are grouped based on visual
            similarities using the CIE76 formula.
        
            positional arguments:
              PATH
        
            optional arguments:
              -h, --help            show this help message and exit
              --version             show program's version number and exit
              -t [N], --tolerance [N]
                                    Group colors to limit the output and give a better
                                    visual representation. Based on a scale from 0 to 100.
                                    Where 0 won't group any color and 100 will group all
                                    colors into one. Tolerance 0 will also bypass all
                                    conversion. Defaults to 32.
              -l [N], --limit [N]   Upper limit to the number of extracted colors
                                    presented in the output.
              -o {all,image,text}, --output {all,image,text}
                                    Format(s) that the extracted colors should presented
                                    in.
        
        
        ------------
        Known Issues
        ------------
        +++++++++++
        Performance
        +++++++++++
        When an image contains a large amount of different colors, which most do, the performance slows to a halt.
        If the grouping of colors is not desired/required then a workaround is to set the tolerance levels to zero.
        Setting the tolerance to specifically zero will make the application skip any comparisons from being made and
        become a simple counter resulting in much greater speeds.
        
        Example, an image (3840x2160) containing about 340k unique colors will take two hours to complete
        with a tolerance level of 32 (the default value). However with a tolerance level of zero it will take ten seconds.
        
Keywords: extract colors image
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Environment :: Console
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Description-Content-Type: text/markdown
