{ "info": { "author": "Ivan R. Judson", "author_email": "ivan.judson@microsoft.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.4", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "Project Oxford for Python\n=========================\n\nThis package contains a set of intelligent APIs understanding images: It can detect and analyze people's faces, their age, gender, and similarity. It can identify people based on a set of images. It can understand what is displayed in a picture and crop it according to where the important features are. It can tell you whether an image contains adult content, what the main colors are, and which of your images belong in a group. If your image features text, it will tell you the language and return the text as a string. It's basically magic. For more details on the Project Oxford API, please visit projectoxford.ai.\n\n\n.. image:: https://i.imgur.com/Zrsnhd3.jpg\n\nInstallation\n------------\n\nTo install the latest release you can use `pip `_.\n\n::\n\n $ pip install oxford\n\nUsage\n-----\n\t\n\t**Note**: before you can send data to you will need an API key. There is are separate API keys for face and vision.\n\n\n**Face detection**\n\n.. code:: python\n\n from oxford import Face\n \n client = Face('')\n result = client.face.detect({'url': 'https://upload.wikimedia.org/wikipedia/commons/1/19/Bill_Gates_June_2015.jpg'})\n print result['faceId']\n print result['attributes']['age']\n\n\nLicense\n-------\nLicensed as MIT - please see LICENSE.txt for details.", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/irjudson/oxford", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/irjudson/oxford", "keywords": "computer vision face detection linguistics language project oxford", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "oxford", "package_url": "https://pypi.org/project/oxford/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/oxford/", "project_urls": { "Download": "https://github.com/irjudson/oxford", "Homepage": "https://github.com/irjudson/oxford" }, "release_url": "https://pypi.org/project/oxford/0.1.4/", "requires_dist": null, "requires_python": null, "summary": "This project implements a client for the Project Oxford API's.", "version": "0.1.4" }, "last_serial": 2382961, "releases": { "0.1.4": [ { "comment_text": "", "digests": { "md5": "f96839be8e2c26c1c15380ed680368e1", "sha256": "c10b8d0f10ee9dbcb4c2c67bedb11fee6e0c68c91e6837b3f67bb4ec4024d953" }, "downloads": -1, "filename": "oxford-0.1.4.tar.gz", "has_sig": false, "md5_digest": "f96839be8e2c26c1c15380ed680368e1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 511431, "upload_time": "2016-10-05T21:13:27", "url": "https://files.pythonhosted.org/packages/40/f8/a8e3483d14d0a90fa51ea8215a7c758555f4d82672a1a13db23748660d1d/oxford-0.1.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f96839be8e2c26c1c15380ed680368e1", "sha256": "c10b8d0f10ee9dbcb4c2c67bedb11fee6e0c68c91e6837b3f67bb4ec4024d953" }, "downloads": -1, "filename": "oxford-0.1.4.tar.gz", "has_sig": false, "md5_digest": "f96839be8e2c26c1c15380ed680368e1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 511431, "upload_time": "2016-10-05T21:13:27", "url": "https://files.pythonhosted.org/packages/40/f8/a8e3483d14d0a90fa51ea8215a7c758555f4d82672a1a13db23748660d1d/oxford-0.1.4.tar.gz" } ] }