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        "author_email": "contact@planetarypy.com",
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            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
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        "description": "====================================\npdsview - A Python PDS Image Viewer\n====================================\n\n.. image:: https://travis-ci.org/planetarypy/pdsview.svg?branch=master\n   :target: https://travis-ci.org/planetarypy/pdsview\n\n.. image:: https://img.shields.io/pypi/v/pdsview.svg\n        :target: https://pypi.python.org/pypi/pdsview\n\n**NOTE:** This is Alpha quality software that is being actively developed, use\nat your own risk.  This software is not produced by NASA.\n\n* Free software: BSD license\n* Documentation: https://pdsview.readthedocs.org.\n\nFeatures\n--------\n\n* NASA PDS Image Viewer\n\n**NOTE:** This is alpha quality software.  It lacks many features and lacks\nsupport for many PDS image types.  This software is not produced by NASA.\n\nInstall\n-------\n\nOn OS X you must first install the Qt UI toolkit using Homebrew\n(http://brew.sh/).  After installing Homebrew, issue the following command::\n\n    brew install qt\n\nCreate a new virtual environment, install the `pdsview` module with pip,\nand setup the PySide environment. You must install either PySide, PyQt5, or\nPyQt4 as well (recommend PyQt5)::\n\n    mkvirtualenv pdsview\n    pip install pdsview\n    pip install PyQt5\n\nNow you should be able to run the `pdsview` program.\n\nThis works on Linux as well (Ubuntu 14.04).  Instructions coming soon.\nInstalling the proper Qt dev package and running `pyside_postinstall.py`\nin a similar fashion should work.\n\n\nScreen Shots\n------------\n\nDefault View:\n\n.. image:: docs/screenshots/pdsview_sc_1.png\n\nRegion of Interest:\n\n.. image:: docs/screenshots/pdsview_sc_2.png\n\nComposite False Color Image:\n\n.. image:: docs/screenshots/pdsview_sc_3.png\n\nView Label and make alterations to image:\n\n.. image:: docs/screenshots/pdsview_sc_4.png\n\n\n\n\nHistory\n-------\n\n0.5.1 (2017-07-24)\n-------------------\n\n* Fixes bug in ROI creation\n\n0.5.0 (2017-05-22)\n-------------------\n\n* Use QtPy and do not depend on PySide\n* Create a histogram to apply cut levels\n\n0.4.1 (2015-09-10)\n---------------------\n\n* Updated to work with ginga 2.5.\n* Bug fixes.\n\n\n0.4.0 (2015-08-30)\n---------------------\n\n* Clicking on a point in an image now shows the image coordinates and pixel\n  value at that location.\n* Right clicking and dragging on the image will now create a region of interest.\n  Statistics about that region of interest are shown.\n* Composite RGB images can now be displayed by using the new Channels dialog and\n  checking the RGB toggle.\n\n\n0.3.0 (2015-08-03)\n---------------------\n\n* Reworked to use an ImageSet and ImageStamp model to improve program flow and\n  permit launching from other programs.\n\n\n0.2.0 (2015-07-28)\n---------------------\n\n* Cleaned up with parts rewritten.\n* Takes files as command line arguments.\n* Handles mutiple images.\n\n\n0.1.0 (2015-06-06)\n---------------------\n\n* First release on PyPI.\n",
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