{ "info": { "author": "Adrian Neumann", "author_email": "adrian_neumann@gmx.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Programming Language :: C", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Image Recognition" ], "description": "Guo and Hall thinning algorithm\n===============================\n\nThis is a Python 3 module of Guo and Hall* thinning algorithm implemented in C.\n\nThinning is the operation that takes a binary image and contracts the foreground until only single-pixel wide lines remain. It is also known as skeletonization. This package implements the thinning algorithm by Guo and Hall* for Numpy arrays. It is thus compatible with OpenCV. The algorithm is implemented in C and fairly fast.\n\n*[paper](http://dx.doi.org/10.1145/62065.62074)", "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/tastyminerals/thinning_py3.git", "keywords": "image processing,thinning,guo hall,skeletonization", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "thinning_py3", "package_url": "https://pypi.org/project/thinning_py3/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/thinning_py3/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/tastyminerals/thinning_py3.git" }, "release_url": "https://pypi.org/project/thinning_py3/1.2.3/", "requires_dist": null, "requires_python": null, "summary": "C extension for thinning binary images.", "version": "1.2.3" }, "last_serial": 2015350, "releases": { "1.2.3": [ { "comment_text": "", "digests": { "md5": "e4a46c36f28dba5be948accdcf0764fd", "sha256": "08a7558f508bbcbed17c3f02bc5f202e6f6b7fd2fbc11c066c7e55d611208ce0" }, "downloads": -1, "filename": "thinning_py3-1.2.3.tar.gz", "has_sig": false, "md5_digest": "e4a46c36f28dba5be948accdcf0764fd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5048, "upload_time": "2016-02-29T15:24:55", "url": "https://files.pythonhosted.org/packages/0a/87/505b61fa2489c67f8754fdd2be6402140c13721a6e994676168d1c9f41a9/thinning_py3-1.2.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "e4a46c36f28dba5be948accdcf0764fd", "sha256": "08a7558f508bbcbed17c3f02bc5f202e6f6b7fd2fbc11c066c7e55d611208ce0" }, "downloads": -1, "filename": "thinning_py3-1.2.3.tar.gz", "has_sig": false, "md5_digest": "e4a46c36f28dba5be948accdcf0764fd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5048, "upload_time": "2016-02-29T15:24:55", "url": "https://files.pythonhosted.org/packages/0a/87/505b61fa2489c67f8754fdd2be6402140c13721a6e994676168d1c9f41a9/thinning_py3-1.2.3.tar.gz" } ] }