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    "info": {
        "author": "Carlos Alberto Gomez Gonzalez",
        "author_email": "carlosgg33@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Astronomy"
        ],
        "description": "VIP - Vortex Image Processing package\n=====================================\n\n\n.. image:: https://badge.fury.io/py/vip-hci.svg\n    :target: https://pypi.python.org/pypi/vip-hci\n\n.. image:: https://img.shields.io/badge/Python-3.6%2C%203.7-brightgreen.svg\n    :target: https://pypi.python.org/pypi/vip-hci\n\n.. image:: https://travis-ci.org/vortex-exoplanet/VIP.svg?branch=master\n    :target: https://travis-ci.org/vortex-exoplanet/VIP\n\n.. image:: https://img.shields.io/badge/license-MIT-blue.svg?style=flat\n    :target: https://github.com/vortex-exoplanet/VIP/blob/master/LICENSE\n\n.. image:: https://img.shields.io/badge/arXiv-1705.06184%20-yellowgreen.svg\n    :target: https://arxiv.org/abs/1705.06184\n\n.. image:: https://readthedocs.org/projects/vip/badge/?version=latest\n    :target: http://vip.readthedocs.io/en/latest/?badge=latest\n\n.. image:: https://codecov.io/gh/vortex-exoplanet/VIP/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/vortex-exoplanet/VIP\n\n::\n\n    ---------------------------------------------------\n            oooooo     oooo ooooo ooooooooo.\n             `888.     .8'  `888' `888   `Y88.\n              `888.   .8'    888   888   .d88'\n               `888. .8'     888   888ooo88P'\n                `888.8'      888   888\n                 `888'       888   888\n                  `8'       o888o o888o\n    ---------------------------------------------------\n             Vortex Image Processing package\n    ---------------------------------------------------\n\n\nIntroduction\n------------\n\n``VIP`` is a python package for angular, reference star and spectral\ndifferential imaging for exoplanet and disk high-contrast imaging. ``VIP`` is\ncompatible with Python 3 (Python 2 compatibility dropped with ``VIP`` 0.9.9).\n\n.. image:: https://github.com/carlgogo/carlgogo.github.io/blob/master/assets/images/vip.png?raw=true\n    :alt: Mosaic of S/N maps\n\nThe goal of ``VIP`` is to integrate open-source, efficient, easy-to-use and\nwell-documented implementations of high-contrast image processing algorithms to\nthe interested scientific community. The main repository of ``VIP`` resides on\n`GitHub <https://github.com/vortex-exoplanet/VIP>`_, the standard for scientific\nopen source code distribution, using Git as a version control system.\n\n``VIP`` started as the effort of `Carlos Alberto Gomez Gonzalez <https://carlgogo.github.io/>`_,\na former PhD student of the `VORTEX team <http://www.vortex.ulg.ac.be/>`_\n(ULiege, Belgium). ``VIP``'s development is led by Dr. Gomez with contributions\nmade by collaborators from several teams (take a look at the `contributors tab <https://github.com/vortex-exoplanet/VIP/graphs/contributors>`_ on\n``VIP``'s GitHub repository). Most of ``VIP``'s functionalities are mature but\nit doesn't mean it's free from bugs. The code is continuously evolving and\ntherefore feedback/contributions are greatly appreciated. If you want to report\na bug or suggest a functionality please create an issue on GitHub. Pull\nrequests are very welcomed!\n\n\nDocumentation\n-------------\nThe documentation for ``VIP`` can be found here: http://vip.readthedocs.io.\n\n\nJupyter notebook tutorial\n-------------------------\nTutorials, in the form of Jupyter notebooks, showcasing ``VIP``'s usage and other resources such as test/dummy datasets are available on the ``VIP-extras`` `repository <https://github.com/carlgogo/VIP_extras>`_. Alternatively, you can execute this repository on `Binder <https://mybinder.org/v2/gh/carlgogo/VIP_extras/master>`_. The notebook for ADI processing can be visualized online with\n`nbviewer <http://nbviewer.jupyter.org/github/carlgogo/VIP_extras/blob/master/tutorials/01_adi_pre-postproc_fluxpos_ccs.ipynb>`_. If you are new to the Jupyter notebook application check out the `beginner's guide\n<https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html>`_.\n\n\nTL;DR setup guide\n-----------------\n.. code-block:: bash\n\n    $ pip install vip_hci\n\n\nInstallation and dependencies\n-----------------------------\nThe benefits of using a Python package manager (distribution), such as\n(ana)conda or Canopy, are many. Mainly, it brings easy and robust package\nmanagement and avoids messing up with your system's default python. An\nalternative is to use package managers like apt-get for Ubuntu or\nHomebrew/MacPorts/Fink for macOS. I personally recommend using `Miniconda <https://conda.io/miniconda>`_.\n\n``VIP`` depends on existing packages from the Python ecosystem, such as\n``numpy``, ``scipy``, ``matplotlib``, ``pandas``, ``astropy``, ``scikit-learn``,\n``scikit-image``, ``photutils`` and others. There are different ways of\ninstalling ``VIP`` suitable for different scenarios.\n\n\nUsing pip\n^^^^^^^^^\nThe easiest way to install ``VIP`` is through the Python Package Index, aka\n`PyPI <https://pypi.org/>`_, with the ``pip`` package manager. Simply run:\n\n.. code-block:: bash\n\n  $ pip install vip_hci\n\nWith ``pip`` you can easily uninstall, upgrade or install a specific version of\n``VIP``. For upgrading the package run:\n\n.. code-block:: bash\n\n  $ pip install --upgrade vip_hci\n\nAlternatively, you can use ``pip install`` and point to the GitHub repo:\n\n.. code-block:: bash\n\n  $ pip install git+https://github.com/vortex-exoplanet/VIP.git\n\nUsing the setup.py file\n^^^^^^^^^^^^^^^^^^^^^^^\nYou can download ``VIP`` from its GitHub repository as a zip file. A ``setup.py``\nfile (setuptools) is included in the root folder of ``VIP``. Enter the package's\nroot folder and run:\n\n.. code-block:: bash\n\n  $ python setup.py install\n\nUsing Git\n^^^^^^^^^\nIf you want to benefit from the ``git`` functionalities, you need to clone the\nrepository (make sure your system has ``git`` installed):\n\n.. code-block:: bash\n\n  $ git clone https://github.com/vortex-exoplanet/VIP.git\n\nThen you can install the package by following the previous steps, using the\nsetup.py file. Creating a fork with GitHub is recommended to developers or to\nusers who want to experiment with the code.\n\nOther dependencies\n^^^^^^^^^^^^^^^^^^\n``OpenCV`` (Open source Computer Vision) provides fast C++ image processing\noperations and is used by ``VIP`` for basic image transformations. If you don't\nhave/want the ``OpenCV`` python bindings (``OpenCV`` is optional since ``VIP``\nv0.5.2), ``VIP`` will use the much slower ``ndimage``/``scikit-image`` libraries\ntransparently. Fortunately, installing ``OpenCV`` library is nowadays and easy\nprocess that is done automatically with the ``VIP`` installation. Alternatively,\nyou could use ``conda``:\n\n.. code-block:: bash\n\n  $ conda install opencv\n\n``VIP`` contains a class ``vip_hci.fits.ds9`` that enables, through ``pyds9``,\nthe interaction with a DS9 window (displaying numpy arrays, controlling the\ndisplay options, etc). ``pyds9`` is an optional requirement and must be\ninstalled from the latest development version:\n\n.. code-block:: bash\n\n    $ pip install git+git://github.com/ericmandel/pyds9.git#egg=pyds9\n\nAlso, you can install the Intel Math Kernel Library (MKL) optimizations\n(provided that you have a recent version of ``conda``) or ``openblas``\nlibraries. Either of them can be installed with ``conda install``. This is\nrecommended along with ``OpenCV`` for maximum speed on ``VIP`` computations.\n\n``VIP`` offers the possibility of computing SVDs on GPU by using ``CuPy``\n(starting from version 0.8.0) or ``PyTorch`` (from version 0.9.2). These remain\nas optional requirements, to be installed by the user, as well as a proper CUDA\nenvironment (and a decent GPU card).\n\nLoading VIP\n^^^^^^^^^^^\nFinally, start Python (or IPython or a Jupyter notebook if you prefer) and check\nthat you are able to import ``VIP``:\n\n.. code-block:: python\n\n  import vip_hci as vip\n\nIf everything went fine with the installation, you will see a welcome message.\nNow you can start finding exoplanets!\n\n\nMailing list\n------------\nPlease subscribe to our `mailing list <http://lists.astro.caltech.edu:88/mailman/listinfo/vip>`_\nif you want to be informed of ``VIP``'s latest developments (new versions\nand/or updates).\n\n\nAttribution\n-----------\nPlease cite Gomez Gonzalez et al. 2017 (http://iopscience.iop.org/article/10.3847/1538-3881/aa73d7/)\nwhenever you publish data reduced with ``VIP``. Astrophysics Source Code Library\nreference [ascl:1603.003].\n\n\n\n",
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