{
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        "author": "Julia M Huntenburg, Pierre-Louis Bazin, Chris Steele",
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            "Development Status :: 4 - Beta",
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        "description": ".. -*- mode: rst -*-\n\n.. image:: https://travis-ci.org/nighres/nighres.svg?branch=master\n    :target: https://travis-ci.org/nighres\n    :alt: Travis CI build status\n.. image:: https://readthedocs.org/projects/nighres/badge/?version=latest\n    :target: http://nighres.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\nNighres\n=======\n\nNighres is a Python package for processing of high-resolution neuroimaging data.\nIt developed out of `CBS High-Res Brain Processing Tools\n<https://www.cbs.mpg.de/institute/software/cbs-tools>`_ and aims to make those\ntools easier to install, use and extend. Nighres now includes new functions from\nthe `IMCN imaging toolkit <https://github.com/IMCN-UvA/imcn-imaging>`_ and\nadditional packages may be added in future releases.\n\nBecause parts of the package have to be built locally it is currently not possible to\nuse ``pip install`` directly from PyPI. Instead, please follow the installation\ninstructions provided at http://nighres.readthedocs.io/en/latest/installation.html\n\nCurrently, Nighres is developed and tested on Linux Ubuntu Trusty and Python 3.5.\nRelease versions have been extensively tested on our example data. Development\nversions include additional modules and functions but with limited guarantees.\n\n\nRequired packages\n=================\n\nIn order to run Nighres, you will need:\n\n* python >= 3.5\n* Java JDK >= 1.7\n* JCC >= 3.0\n\nFor instance, in Debian/Ubuntu (amd64 systems):\n\n    sudo apt-get install openjdk-8-jdk\n    export JCC_JDK=/usr/lib/jvm/java-8-openjdk-amd64\n    python3 -m pip install jcc    (or just pip install jcc if Python 3 is your default)\n\nFor some functionalities you need extra packages\n\n* Nipype & ANTs (for registration using ANTs)\n* Pandas (for working with surface meshes)\n* Nilearn (for plotting in the examples)\n\n\nDocker\n======\n\nTo quickly try out nighres in a preset, batteries-included environment, you can use the\nincluded Dockerfile, which includes Ubuntu 14 Trusty, openJDK-8, nighres, and Jupyter\nNotebook. The only thing you need to install is `Docker <https://www.docker.com/>`_, a\nlightweight container platform that runs on Linux, Windows and Mac OS X.\n\nTo build the Docker image, do the following::\n\n    git clone https://github.com/nighres/nighres\n    cd nighres\n    docker build . -t nighres\n\nTo run the Docker container::\n\n    docker run --rm -p 8888:8888 nighres\n\nNow go with your browser to https://localhost:8888 to start a notebook. You should be able\nto import nighres by entering::\n\n    import nighres\n\ninto the first cell of your notebook.\n\nUsually you also want to have access to some data when you run nighres. You can grant the Docker container\naccess to a data folder on your host OS by using the `-v` tag when you start the container::\n\n    docker run --rm -v /home/me/my_data:/data -p 8888:8888 nighres\n\nNow, in your notebook you will be able to access your data on the path `/data`",
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