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"info": {
"author": "Vikram Chandrashekhar",
"author_email": "vikramc@jhmi.edu",
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"classifiers": [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: Implementation :: CPython",
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"description": "# ndreg\n[](https://travis-ci.org/#)\n[](http://ndreg.readthedocs.io/en/latest/?badge=latest)\n[](https://hub.docker.com/r/neurodata/ndreg)\n
\nPackage that performs affine and LDDMM registration *easily*
\n\n## Sytem Requirements\n\nThe recommended way to use this package is to install [Docker](https://store.docker.com/search?offering=community&type=edition). Docker is currently available on Mac OS X El Capitan 10.11 and newer macOS releases, the following Ubuntu versions: Zesty 17.04 (LTS), Yakkety 16.10, Xenial 16.04 (LTS), Trusty 14.04 (LTS), and Windows 10.\n\n### Software Dependencies (with version numbers)\n\nThe only software dependency needed if using the recommended method is Docker. The following dependencies are included in the Docker Image.\n\nExternal libraries:
\n- Insight Segmentation and Registration Toolkit (ITK) -- 4.12.2\n\nPython depedencies:
\n- jupyter -- (1.0.0)\n- numpy -- (1.13.3)\n- scikit-image -- (0.13.1)\n- scikit-learn -- (0.19.1)\n- scipy -- (1.0.0)\n- SimpleITK -- (1.0.1)\n\n### Versions tested on\nWe have tested the Docker image and build on macOS High Sierra (on MacBook Pro with 2.9 GHz Intel Core i7 and 16 GB RAM) and Ubuntu Xenial 16.04.3 LTS (with 64 GB RAM).\n\n## Installation Guide\n\nOnce Docker is installed on your machine, pull the `neurodata/ndreg` image from Docker Hub [here](https://hub.docker.com/r/neurodata/ndreg) as follows:
\n\n`docker pull neurodata/ndreg`
\n\nIt will typically take around 3 minutes to pull the entire Docker image.\n\n## Demo\n\n### Instructions to run on data\n\nIn order to use the functionality built into this Docker image, you need to run the Docker image:\n\n`docker run -p 8888:8888 neurodata/ndreg`
\n\nThis should print a link to the terminal console that looks like this:
\n\n`http://0.0.0.0:8888/?token=SOME_TOKEN`
\n\nGo to this link in your browser by copying and pasting it.
\n\nNext, click on `ndreg_demo.ipynb`. Once the notebook opens, you can run all cells by clicking on 'Cell' and then 'Run All'.\n\nThe expected run time for this demo is ~ 2 minutes.\n\n### Expected Output\n\nThe last 3 cells in the demo notebook display images that should look the same (both the LDDMM registered image and the displacement field warped image) and a mean squared error\n\n### Congrats, you've succesfully run ndreg!\n\n\n",
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