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        "author": "Benoit Seignovert",
        "author_email": "despike@seignovert.fr",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Image Recognition",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Visualization"
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        "description": "===============================\nDespike\n===============================\n|Build| |Coverage| |PyPI| |Status| |Version| |Python| |License|\n\n.. |Build| image:: https://travis-ci.org/seignovert/despike.svg?branch=master\n        :target: https://travis-ci.org/seignovert/despike\n.. |Coverage| image:: https://coveralls.io/repos/github/seignovert/despike/badge.svg?branch=master\n        :target: https://coveralls.io/github/seignovert/despike?branch=master\n.. |PyPI| image:: https://img.shields.io/badge/PyPI-despike-blue.svg\n        :target: https://pypi.python.org/project/despike\n.. |Status| image:: https://img.shields.io/pypi/status/despike.svg?label=Status\n.. |Version| image:: https://img.shields.io/pypi/v/despike.svg?label=Version\n.. |Python| image:: https://img.shields.io/pypi/pyversions/despike.svg?label=Python\n.. |License| image:: https://img.shields.io/pypi/l/despike.svg?label=License\n\n*Python package to remove spikes in 2D images*\n\nDesciption\n----------\nThe spikes in 2D-images correspond to high-energy pixels generated\nby cosmic rays, sensor noise or dead pixels. They use to have values\nvery different from the rest of their neighboor.\n\nTo find them, we use a moving box (5\u00d75 pixels by default) on the\nimage and we compare the mean/median of this sub-image to the central\npixel. If the value is n (3 by default) times larger than the observed\nstandard deviation we use the median value a the surrounding pixels\n(8 pixels by default) to replace the spike.\n\nInstall\n-------\nWith ``pip``:\n\n.. code:: bash\n\n    $ pip install despike\n\nWith the ``source files``:\n\n.. code:: bash\n\n    $ git clone https://github.com/seignovert/despike.git\n    $ cd despike ; python setup.py install\n\nUsage\n------\n\n.. code:: python\n\n    >>> import despike\n\n    >>> despike.spikes(img) # Search the location of spikes in the image\n\n    >>> despike.clean(img) # Clean the image from spikes\n\n\nAn example can be find in this `Jupyter NoteBook <https://nbviewer.jupyter.org/github/seignovert/despike/blob/master/example.ipynb>`_.\n\n\n\n",
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        "license": "MIT",
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