Metadata-Version: 1.1
Name: arosics
Version: 0.4.18
Summary: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data
Home-page: https://gitext.gfz-potsdam.de/danschef/arosics
Author: Daniel Scheffler
Author-email: daniel.scheffler@gfz-potsdam.de
License: GNU General Public License v3
Description: .. figure:: http://danschef.gitext.gfz-potsdam.de/arosics/images/arosics_logo.png
                :target: https://gitext.gfz-potsdam.de/danschef/arosics
        
        An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data
        
        
        * Free software: GNU General Public License v3
        * Documentation: http://danschef.gitext.gfz-potsdam.de/arosics/doc/
        
        
        Status
        ------
        
        .. .. image:: https://img.shields.io/travis/danschef/arosics.svg
                :target: https://travis-ci.org/danschef/arosics
        
        .. .. image:: https://readthedocs.org/projects/arosics/badge/?version=latest
                :target: https://arosics.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. .. image:: https://pyup.io/repos/github/danschef/arosics/shield.svg
             :target: https://pyup.io/repos/github/danschef/arosics/
             :alt: Updates
        
        
        .. image:: https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/build.svg
                :target: https://gitext.gfz-potsdam.de/danschef/arosics/commits/master
        .. image:: https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/coverage.svg
                :target: http://danschef.gitext.gfz-potsdam.de/arosics/coverage/
        .. image:: https://img.shields.io/pypi/v/arosics.svg
                :target: https://pypi.python.org/pypi/arosics
        
        See also the latest coverage_ report and the nosetests_ HTML report.
        
        
        Features
        --------
        
        * Detection and correction of local or global geometric displacements between two input images.
        
        
        Installation
        ------------
        
        AROSICS depends on some open source packages which are usually installed without problems by the automatic install
        routine. However, for some projects, we strongly recommend resolving the dependency before the automatic installer
        is run. This approach avoids problems with conflicting versions of the same software.
        Using conda_, the recommended approach is:
        
         .. code-block:: console
        
            # create virtual environment for arosics, this is optional
            conda create -y -q --name arosics python=3
            source activate arosics
            conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib
        
        
        To install AROSICS, use the pip installer:
        
         .. code-block:: console
        
            pip install arosics
        
        
        Or clone the repository via GIT and update the PATH environment variable:
        
         .. code-block:: console
        
            cd /your/installation/folder
            git clone https://gitext.gfz-potsdam.de/danschef/arosics.git
            git clone https://gitext.gfz-potsdam.de/danschef/geoarray.git
            git clone https://gitext.gfz-potsdam.de/danschef/py_tools_ds.git
            PATH=$PATH:/path/to/your/installation/folder/arosics:/path/to/your/installation/folder/geoarray:/path/to/your/installation/folder/py_tools_ds
        
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        The test data represent modified Copernicus Sentinel data (2016).
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        .. _coverage: http://danschef.gitext.gfz-potsdam.de/arosics/coverage/
        .. _nosetests: http://danschef.gitext.gfz-potsdam.de/arosics/nosetests_reports/nosetests.html
        .. _conda: https://conda.io/docs/
        
        
        
        =======
        History
        =======
        
        0.1.0 (2017-06-15)
        ------------------
        
        * Package creation.
        
        0.2.1 (2017-07-03)
        ------------------
        
        * First release on PyPI.
        
        0.4.0 (2017-07-07)
        ------------------
        
        New features:
        
        * added a logo
        
        * added auto-deploy to PyPI
        
        * added test cases for local co-registration
        
        
        Fixes and improvements:
        
        * fixed warping issues in case only very few tie points could be identified
        
        0.5.0 (coming soon)
        -------------------
        
        Fixes and improvements:
        
        * Coverage now also working in multiprocessing.
        
        * Replaced test data of test case INTER1 with LZW compressed GeoTIFFs to speed up testing.
        
Keywords: arosics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
