{ "info": { "author": "Srinivas Turaga", "author_email": "turagas@janelia.hhmi.org", "bugtrack_url": null, "classifiers": [], "description": "# MALIS \n\n#### Installation\n- pip install malis\t\n- build from source: ./make.sh\n\n#### Structured loss function for supervised learning of segmentation and clustering\n\nPython and MATLAB wrapper for C++ functions for computing the MALIS loss\n\nThe MALIS loss is described here:\n\nSC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung (2009). *Maximin learning of image segmentation*. _Advances in Neural Information Processing Systems (NIPS) 2009_.\n\nhttp://papers.nips.cc/paper/3887-maximin-affinity-learning-of-image-segmentation\n\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/TuragaLab/malis", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "malis", "package_url": "https://pypi.org/project/malis/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/malis/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/TuragaLab/malis" }, "release_url": "https://pypi.org/project/malis/1.0/", "requires_dist": null, "requires_python": null, "summary": "MALIS segmentation loss function", "version": "1.0" }, "last_serial": 2236379, "releases": { "0.0": [ { "comment_text": "", "digests": { "md5": "c1e6823563f957543132fb39dba7b53b", "sha256": "478632f56c11e2f872f87c6ced149252a360b62f07523aaacddf9f34887f8142" }, "downloads": -1, "filename": "malis-0.0.tar.gz", "has_sig": false, "md5_digest": "c1e6823563f957543132fb39dba7b53b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6655, "upload_time": "2016-07-06T14:22:24", "url": "https://files.pythonhosted.org/packages/99/1c/bb864f80ad03dc90a7a91ac754686a899789b95a49a06769b95cbe688b10/malis-0.0.tar.gz" } ], "1.0": [ { "comment_text": "", "digests": { "md5": "ba8ee7e8b6c1ebd0fcf67b0a64fb6209", "sha256": "5c5f39612d9b97d9f29ba0db6bae57c545cbf785f20bd098330d16ec694b933f" }, "downloads": -1, "filename": "malis-1.0.tar.gz", "has_sig": false, "md5_digest": "ba8ee7e8b6c1ebd0fcf67b0a64fb6209", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6959, "upload_time": "2016-07-21T19:07:06", "url": "https://files.pythonhosted.org/packages/a3/01/d9c87e5e04c45894f6c595a6dcc8b1c5ab4ad2da6b7e53029dd45e3c4d04/malis-1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "ba8ee7e8b6c1ebd0fcf67b0a64fb6209", "sha256": "5c5f39612d9b97d9f29ba0db6bae57c545cbf785f20bd098330d16ec694b933f" }, "downloads": -1, "filename": "malis-1.0.tar.gz", "has_sig": false, "md5_digest": "ba8ee7e8b6c1ebd0fcf67b0a64fb6209", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6959, "upload_time": "2016-07-21T19:07:06", "url": "https://files.pythonhosted.org/packages/a3/01/d9c87e5e04c45894f6c595a6dcc8b1c5ab4ad2da6b7e53029dd45e3c4d04/malis-1.0.tar.gz" } ] }