{ "info": { "author": "Andrea Vedaldi, Brian Fulkerson, Mikael Rousson, Peter Le Bek", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved", "Operating System :: Unix", "Programming Language :: C", "Programming Language :: C++", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Image Recognition" ], "description": "* Scale-Invariant Feature Transform (SIFT)\r\n* Dense SIFT (DSIFT)\r\n* Integer k-means (IKM)\r\n* Hierarchical Integer k-means (HIKM)\r\n* Maximally Stable Extremal Regions (MSER)\r\n* Quick shift image segmentation\r\n* http://vlfeat.org\r\n\r\nDependencies:\r\n \r\n* Boost.Python (tested against version 1.35.0-5)\r\n* NumPy (tested against version 1.5.1)\r\n* Matplotlib (tested against version 0.99.3)", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://launchpad.net/pyvlfeat", "keywords": "", "license": "GPL", "maintainer": "Peter Le Bek", "maintainer_email": "peter@hyperplex.net", "name": "pyvlfeat", "package_url": "https://pypi.org/project/pyvlfeat/", "platform": "Unix,Linux", "project_url": "https://pypi.org/project/pyvlfeat/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://launchpad.net/pyvlfeat" }, "release_url": "https://pypi.org/project/pyvlfeat/0.1.1a3/", "requires_dist": null, "requires_python": null, "summary": "Python interface to the VLFeat computer vision library", "version": "0.1.1a3" }, "last_serial": 798244, "releases": { "0.1.1a3": [ { "comment_text": "", "digests": { "md5": "69edf76be8b84b2b92bd75187973b041", "sha256": "1efb7a0031f1dbe6fa0c8829d7a535493cbd02eedb28685370a91ccddbc73349" }, "downloads": -1, "filename": "pyvlfeat-0.1.1a3.tar.gz", "has_sig": false, "md5_digest": "69edf76be8b84b2b92bd75187973b041", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 159860, "upload_time": "2011-05-04T17:49:19", "url": "https://files.pythonhosted.org/packages/1a/18/eb54449becc0bf0f785aa5677559e585fba54495446de66d01b5d12f0dd8/pyvlfeat-0.1.1a3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "69edf76be8b84b2b92bd75187973b041", "sha256": "1efb7a0031f1dbe6fa0c8829d7a535493cbd02eedb28685370a91ccddbc73349" }, "downloads": -1, "filename": "pyvlfeat-0.1.1a3.tar.gz", "has_sig": false, "md5_digest": "69edf76be8b84b2b92bd75187973b041", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 159860, "upload_time": "2011-05-04T17:49:19", "url": "https://files.pythonhosted.org/packages/1a/18/eb54449becc0bf0f785aa5677559e585fba54495446de66d01b5d12f0dd8/pyvlfeat-0.1.1a3.tar.gz" } ] }