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        "author": "Albert Lee, Jonathan Liu, Tony Sun, Luke Zhu",
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        "description": "# clviz\n\n[![](https://img.shields.io/pypi/v/clarityviz.svg)](https://pypi.python.org/pypi/clarityviz/0.0.1)\n[![Build Status](https://travis-ci.org/alee156/clviz.svg?branch=master)](https://travis-ci.org/alee156/clviz)\n\n**clviz** is a Python 2 package for Clarity brain analysis. It supports  ANALYZE (plain, SPM99, SPM2 and later), GIFTI, NIfTI1, NIfTI2, MINC1, MINC2, MGH and ECAT as well as Philips PAR/REC.\n\n## Installation\n\nTo install the prerequisite packages, clone the directory using:\n```\ngit clone https://github.com/alee156/clviz.git\ncd clviz\npip install -r requirements.txt\n```\n\nAfterwards install opencv. This is easily accomplishable if you have brew or conda by using either\n ```\n brew install opencv\n ```\n or\n ```\n conda install opencv\n ```\n If not, install opencv by following their build instruction here: http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_setup/py_table_of_contents_setup/py_table_of_contents_setup.html#py-table-of-content-setup\n\nAfter installing the prerequisites there's two options for using clviz. You can use clviz as a standalone package and\nperform basic analysis on your own files, or you can install ndreg and ndio and use clviz as a powerful integrating tool\nfor graph-based analysis.\n\n```\npip install clarityviz\n```\n\n## Docker Installation\n```\ndocker pull lkzhu1/ubuntu:prototype1\ndocker run -t -i lkzhu1/ubuntu:prototype1\n```\n\n## Getting Started\n\nIn development but tutorials will be uploaded shortly!\n\n## Documentation\n\nComplete documentation is located at https://neurodatadesign.github.io/seelviz//reveal/clarityviz.m.html. \n\n\n## Credits\n\nCredit to installation script in .travis.yml goes to https://github.com/milq/scripts-ubuntu-debian.\n\n\n",
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