{
    "info": {
        "author": "Maik Riechert",
        "author_email": "maik.riechert@arcor.de, awalsh@sciops.esa.int",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Science/Research",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "AUROra MApping Toolkit\n======================\n\n.. image:: https://travis-ci.org/esa/auromat.svg?branch=master\n    :target: https://travis-ci.org/esa/auromat\n    :alt: Linux Build Status\n    \n.. image:: https://landscape.io/github/esa/auromat/master/landscape.svg\n   :target: https://landscape.io/github/esa/auromat/master\n   :alt: Code Health\n\nInstallation under Linux\n------------------------\n\nThe following assumes Ubuntu, but should be similar for other distributions.\n\nBefore installing auromat, some system libraries have to be installed.\n\n.. code:: sh\n\n    sudo apt-get install libraw-dev liblensfun-dev libgeos-dev\n\nIf you want to use THEMIS data or export in CDF format you have to\ninstall `NASA's CDF library <http://cdf.gsfc.nasa.gov>`_:\n\n.. code:: sh\n\n    wget http://cdaweb.gsfc.nasa.gov/pub/software/cdf/dist/cdf35_0_2/linux/cdf35_0-dist-cdf.tar.gz\n    tar xf cdf35_0-dist-cdf.tar.gz\n    cd cdf35_0-dist\n    make OS=linux ENV=gnu all\n    sudo make INSTALLDIR=/usr/local/cdf install\n    cd ..\n\nAlso, for using the CDF library in Python we need the spacepy library.\nAs this is not yet released on PyPI, you have to install it manually using:\n\n.. code:: sh\n\n\tsudo apt-get install libhdf5-serial-dev\n    pip install --user numpy python-dateutil\n    pip install --user git+http://git.code.sf.net/p/spacepy/code\n\nIf you want to export in netCDF format:\n\n.. code:: sh\n\n    sudo apt-get install libnetcdf-dev libhdf5-serial-dev\n\nIf you want to draw any kind of geographic maps, install the basemap library with:\n\n.. code:: sh\n\n    pip install --user --allow-external basemap --allow-unverified basemap basemap\n\nNow, install auromat with:\n\n.. code:: sh\n\n    pip install --user auromat[cdf,netcdf]\n\nSupport for CDF or netCDF can be left out using auromat[cdf] or auromat[netcdf], respectively.\n\nThe command-line tools are installed in ~/.local/bin. For convenience you should add this folder\nto your PATH if that is not the case already:\n\n.. code:: sh\n\n    export PATH=$HOME/.local/bin:$PATH\n\nInstallation under Mac OS X\n---------------------------\n\nFirst, install Homebrew if you don't have it yet:\n\n.. code:: sh\n\n    ruby -e \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)\"\n    brew update\n\nThen, install Python 3 with Homebrew:\n\n.. code:: sh\n\n    brew install python3\n\nIf you want to use THEMIS data or export in CDF format you have to\ninstall `NASA's CDF library <http://cdf.gsfc.nasa.gov>`_:\n\n.. code:: sh\n\n    curl -O http://cdaweb.gsfc.nasa.gov/pub/software/cdf/dist/cdf35_0_2/linux/cdf35_0-dist-cdf.tar.gz\n    tar xf cdf35_0-dist-cdf.tar.gz\n    cd cdf35_0-dist\n    make OS=macosx ENV=gnu all\n    sudo make INSTALLDIR=/Applications/cdf install\n    cd ..\n\nAlso, for using the CDF library in Python we need the spacepy library.\nAs this is not yet released on PyPI, you have to install it manually using:\n\n.. code:: sh\n\t\n    pip3 install numpy python-dateutil\n    pip3 install git+http://git.code.sf.net/p/spacepy/code\n\nIf you want to export in netCDF format:\n\n.. code:: sh\n\n    brew tap homebrew/science\n    brew install netcdf hdf5\n\nIf you want to draw any kind of geographic maps, install the basemap library with:\n\n.. code:: sh\n    \n    brew install geos\n    pip3 install --allow-external basemap --allow-unverified basemap basemap\n\nNow, install auromat with:\n\n.. code:: sh\n\n    sudo pip3 install auromat[cdf,netcdf]\n\nSupport for CDF or netCDF can be left out using auromat[cdf] or auromat[netcdf], respectively.\n\nInstallation under Windows\n--------------------------\n\nIf you need to use THEMIS data or export in CDF format, then you need to use\nPython 2.7 for 32 bit. The Python library that is used for handling CDF files\n(SpacePy) is currently only available for Python 2.6 and 2.7 for 32 bit.\n\nFor Python 3.3 and lower, you have to install the package manager pip,\nsee http://pip.readthedocs.org/en/latest/installing.html for instructions.\n\nSome required Python packages (as of late 2014) don't offer Windows binary\nwheels on PyPI yet. Therefore, you have to install them manually:\n\nPlease install numpy, scipy, numexpr, scikit-image, astropy, and pyephem from\nhttp://www.lfd.uci.edu/~gohlke/pythonlibs/. \n\nIf you want to draw any kind of geographic maps, please install the basemap library from:\nhttp://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap\n\nIf you want to use THEMIS data or export in CDF format you have to\ninstall NASA's CDF library (32 bit version), see http://cdf.gsfc.nasa.gov for details.\nAlso, for using the CDF library in Python you need the SpacePy library.\nYou can download an installer from\nhttp://sourceforge.net/projects/spacepy/files/spacepy\n\nIf you want to export in netCDF format please install the netCDF4 library from:\nhttp://www.lfd.uci.edu/~gohlke/pythonlibs/#netcdf4\n\nNow, install auromat with:\n\n.. code:: sh\n\n    pip install --user auromat[cdf,netcdf]\n\nSupport for CDF or netCDF can be left out using auromat[cdf] or auromat[netcdf], respectively.\n\nAdvanced functionality\n----------------------\n\nThe following software can be installed if you want to georeference images yourself\nand not use the available data providers. Note that the complete workflow is not as\nstraight-forward for certain data sources, e.g. to correctly georeference ISS images\nyou have to consider inaccurate camera timestamps and possibly create missing lens distortion\nprofiles.\n\nIf you want to determine astrometric solutions yourself using the auromat.solving package,\nyou need to install astrometry.net, see http://astrometry.net/use.html. Make sure the\nbin/ folder is in your PATH so that auromat can find it.\n\nIf you want to automatically mask the starfield of an image using the auromat.solving.masking\nmodule, please install on Ubuntu:\n\n.. code:: sh\n\n    sudo apt-get install libopencv-imgproc-dev python-opencv\n    \non Mac OS X, please follow \nhttp://jjyap.wordpress.com/2014/05/24/installing-opencv-2-4-9-on-mac-osx-with-python-support/\n\non Windows, install from http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv\n\nIf you want to correct lens distortion in an image with the lensfun database\nusing EXIF data extracted from the image, please install on Ubuntu:\n\n.. code:: sh\n\n    sudo apt-get install libimage-exiftool-perl\n    \non Mac OS X:\n\n.. code:: sh\n    \n    brew install exiftool\n    \non Windows, extract the zip archive from http://www.sno.phy.queensu.ca/~phil/exiftool/\ninto a folder and put it in your PATH so that auromat can find exiftool.",
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