Metadata-Version: 2.0
Name: pdsview
Version: 0.4.1
Summary: PDS Image Viewer
Home-page: https://github.com/planetarypy/pdsview
Author: PlanetaryPy Developers
Author-email: contact@planetarypy.com
License: BSD
Keywords: pdsview
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Requires-Dist: ginga (>=2.5)
Requires-Dist: planetaryimage (>=0.1.0)
Requires-Dist: PySide (>=1.2.0)
Requires-Dist: astropy (>=1.0.2)

====================================
pdsview - A Python PDS Image Viewer
====================================

.. image:: https://img.shields.io/travis/planetarypy/pdsview.svg
        :target: https://travis-ci.org/planetarypy/pdsview

.. image:: https://img.shields.io/pypi/v/pdsview.svg
        :target: https://pypi.python.org/pypi/pdsview

**NOTE:** This is Alpha quality software that is being actively developed, use
at your own risk.  This software is not produced by NASA.

* Free software: BSD license
* Documentation: https://pdsview.readthedocs.org.

Features
--------

* NASA PDS Image Viewer

**NOTE:** This is alpha quality software.  It lacks many features and lacks
support for many PDS image types.  This software is not produced by NASA.

Install
-------

On OS X you must first install the Qt UI toolkit using Homebrew
(http://brew.sh/).  After installing Homebrew, issue the following command::

    brew install qt

Create a new virtual environment, install the `pdsview` module with pip,
and setup the PySide environment::

    mkvirtualenv pdsview
    pip install pdsview
    pyside_postinstall.py -install

Now you should be able to run the `pdsview` program.

This works on Linux as well (Ubuntu 14.04).  Instructions coming soon.
Installing the proper Qt dev package and running `pyside_postinstall.py`
in a similar fashion should work.




History
-------

0.4.1 (2015-09-10)
---------------------

* Updated to work with ginga 2.5.
* Bug fixes.


0.4.0 (2015-08-30)
---------------------

* Clicking on a point in an image now shows the image coordinates and pixel
  value at that location.
* Right clicking and dragging on the image will now create a region of interest.
  Statistics about that region of interest are shown.
* Composite RGB images can now be displayed by using the new Channels dialog and
  checking the RGB toggle.


0.3.0 (2015-08-03)
---------------------

* Reworked to use an ImageSet and ImageStamp model to improve program flow and
  permit launching from other programs.


0.2.0 (2015-07-28)
---------------------

* Cleaned up with parts rewritten.
* Takes files as command line arguments.
* Handles mutiple images.


0.1.0 (2015-06-06)
---------------------

* First release on PyPI.


