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        "author": "Jan Funke, Jingpeng Wu",
        "author_email": "jfunke@iri.upc.edu",
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        "description": "[![Build Status](https://travis-ci.org/jingpengw/waterz.svg?branch=master)](https://travis-ci.org/jingpengw/waterz)\n[![PyPI version](https://badge.fury.io/py/waterzed.svg)](https://badge.fury.io/py/waterzed)\n\n<!--\n    the coerage is not working on c++ code, so the coverage is 0 now!\n    [![Coverage Status](https://coveralls.io/repos/github/jingpengw/waterz/badge.svg?branch=master)](https://coveralls.io/github/jingpengw/waterz?branch=master)\n-->\n\n# waterz\n\nPronounced *water-zed*. A simple watershed and region agglomeration library for\naffinity graphs.\n\nBased on the watershed implementation of [Aleksandar Zlateski](https://bitbucket.org/poozh/watershed) and [Chandan Singh](https://github.com/TuragaLab/zwatershed).\n\n# Installation\n\nInstall c++ dependencies:\n```\nsudo apt install libboost-dev\n```\n\nInstall from pipy\n```\npip install waterzed\n```\n\ninstall manually\n```\npip install -r requirements.txt\npython setup.py install\n```\n\n# Usage\n\n```\nimport waterz\nimport numpy as np\n\n# affinities is a [3,depth,height,width] numpy array of float32\naffinities = ...\n\nthresholds = [0, 100, 200]\n\nsegmentations = waterz.agglomerate(affinities, thresholds)\n```\n\n# Development\n## Release to pypi\n\nWe can only release code and compile in the installation machine.\n```\npython setup.py sdist\ntwine upload dist/my-new-wheel\n```\n\n\n",
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