{ "info": { "author": "Faliu", "author_email": "yifaliu86@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation", "Topic :: Software Development :: Libraries" ], "description": "\nSMDAI\n======\n\nA simple python wrapper for disparity calculation.\n\nThe PSMNet is from: https://github.com/JiaRenChang/PSMNet\n\n\nThe code is Python 2, but Python 3 compatible.\n\nInstallation\n============\n\nFast install:\n\n```\nfor python2: pip install SMDAI\n\nfor python3: pip3 install SMDAI\n``` \n\n\nExample:\n\n\n```\nfrom PSMNet import smd\ndisparity_img = smd.calculate_disparity(imgL,imgR)\ncorrected_img = smd.correct_img(imgR,disparity_img)\n```\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/NewBee", "keywords": "", "license": "BSD License", "maintainer": "", "maintainer_email": "", "name": "SMDAI", "package_url": "https://pypi.org/project/SMDAI/", "platform": "all", "project_url": "https://pypi.org/project/SMDAI/", "project_urls": { "Homepage": "https://github.com/NewBee" }, "release_url": "https://pypi.org/project/SMDAI/1.0.0.1/", "requires_dist": null, "requires_python": "", "summary": "calculate the disparity from a stereo image using PSMNet", "version": "1.0.0.1" }, "last_serial": 4353323, "releases": { "1.0.0.1": [ { "comment_text": "", "digests": { "md5": "879de5e054c3bb109724227791237c43", "sha256": "4def5a18bb37b70ff5ad7b0cba4da38c5b2b1dfd68cc10c62f5aa9de49644ff9" }, "downloads": -1, "filename": "SMDAI-1.0.0.1.tar.gz", "has_sig": false, "md5_digest": "879de5e054c3bb109724227791237c43", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19463051, "upload_time": "2018-10-08T19:48:05", "url": "https://files.pythonhosted.org/packages/41/02/320782b3f9d466a3f7edb3676a3832ef253f7679edbbfc9c884a9674e5d3/SMDAI-1.0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "879de5e054c3bb109724227791237c43", "sha256": "4def5a18bb37b70ff5ad7b0cba4da38c5b2b1dfd68cc10c62f5aa9de49644ff9" }, "downloads": -1, "filename": "SMDAI-1.0.0.1.tar.gz", "has_sig": false, "md5_digest": "879de5e054c3bb109724227791237c43", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19463051, "upload_time": "2018-10-08T19:48:05", "url": "https://files.pythonhosted.org/packages/41/02/320782b3f9d466a3f7edb3676a3832ef253f7679edbbfc9c884a9674e5d3/SMDAI-1.0.0.1.tar.gz" } ] }