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        "description": "# FastDRaW\nFastDRaW \u2013 Fast Delineation by Random\n\nThis software is under the MIT License. If you use this code in your research please cite the following paper:\n\nH.-E. Gueziri, L. Lakhdar, M. J. McGuffin and C. Laporte \"FastDRaW \u2013 Fast Delineation by Random Walker: application to large images\", MICCAI workshop on Interactive Medical Image Computing (IMIC), Athens, Greece, (2016).\n\n@author Houssem-Eddine Gueziri\n\n## Requirements:\n\nFastDRaW requires the following packages\n\n- [Scipy and Numpy](https://www.scipy.org/install.html)\n- [PyAMG](http://pyamg.org/) (for linear system solver)\n\nOr run\n\n```shell\nsudo apt-get install build-essential python2.7-dev\nsudo pip install -r requirements.txt\n```\n\n## Install:\n\nFrom PyPI:\n\n```shell\nsudo pip install FastDRaW\n```\nFrom git repository:\n\n```shell\ngit clone https://github.com/hgueziri/FastDRaW-Segmentation.git\ncd FastDRaW-Segmentation\nsudo python setup.py install\n```\n\n## Usage example:\n\n```python\n>>> from FastDRaW import Segmenter\n>>> from skimage.data import coins\n>>> import matplotlib.pyplot as plt\n>>> image = coins()\n>>> labels = np.zeros_like(image)\n>>> labels[[129, 199], [155, 155]] = 1 # label some pixels as foreground\n>>> labels[[162, 224], [131, 184]] = 2 # label some pixels as background\n>>> fastdraw = Segmenter(image, beta=100, downsampled_size=[100,100])\n>>> segm = fastdraw.update(labels)\n>>> plt.imshow(image,'gray')\n>>> plt.imshow(segm, alpha=0.7)\n```",
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