semvec/pypi-packages huggingface dataset:
pdsview 0.5.1
PDS Image Viewer
License: BSD
Keywords: pdsview

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

.. image:: https://travis-ci.org/planetarypy/pdsview.svg?branch=master
   :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. You must install either PySide, PyQt5, or
PyQt4 as well (recommend PyQt5)::

    mkvirtualenv pdsview
    pip install pdsview
    pip install PyQt5

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.


Screen Shots
------------

Default View:

.. image:: docs/screenshots/pdsview_sc_1.png

Region of Interest:

.. image:: docs/screenshots/pdsview_sc_2.png

Composite False Color Image:

.. image:: docs/screenshots/pdsview_sc_3.png

View Label and make alterations to image:

.. image:: docs/screenshots/pdsview_sc_4.png




History
-------

0.5.1 (2017-07-24)
-------------------

* Fixes bug in ROI creation

0.5.0 (2017-05-22)
-------------------

* Use QtPy and do not depend on PySide
* Create a histogram to apply cut levels

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.