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        "author": "Benjamin Irving",
        "author_email": "mail@birving.com",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: Free for non-commercial use",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "# maskSLIC\nSimple linear iterative clustering (SLIC) in a region of interest\n\n## Outline\nThis code demonstrates the adaption of SLIC for a defined region of interest. \nThe main contribution is in the placement of seed points within the ROI. \n\nThe code is a modification of the SLIC implementation provided by Scikit-image (http://scikit-image.org/)\n\nAn online demo is available at: http://maskslic.birving.com/index\n\nAn outline of the method is available at: http://arxiv.org/abs/1606.09518\n\nFigure 1: An example region and the automatically placed seed points using this method. \n\n![seed points](doc/images/p1.png)\n\nFigure 2: The final superpixel regions within the ROI\n\n![superpixels](doc/images/p2.png)\n\n## Getting started\n\nInstall dependencies  \n`pip install -r requirements.txt`\n\nbuild cython code  \n`python setup.py build_ext --inplace`\n\nrun example  \n`python run_example.py`\n\nUsing a python `virtualenv` is reccommended on linux to get the latest versions of the dependencies. \n\n\n## Development\nThis code is still a work in progress.",
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        "license": "Copyright (C) 2016-2019, Benjamin Irving. See LICENSE file for distribution conditions",
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        "name": "maskslic",
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