{ "info": { "author": "ConvexHull Technology Private Limited", "author_email": "support@accessai.co", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3.6", "Topic :: Software Development :: Libraries" ], "description": "# Access Client\n\nPython client to interact with acessai's various applications/services like access-face-vision\n\n### Installation\n```bash\npip install access-cleint\n```\n\n### Usage\n```python\nfrom access_client.face_vision.client import AFV\n\n#instantiate by giving the host and port of the access-face-vision server\nafv = AFV(\"http://localhost:5001\")\n```\n\nNow we need to create a face-group. This is will be our face-index.\n```python\nafv.create_face_group(face_group_name=\"celebrities\")\n\n#Pass in the directory and face group name\nafv.add_faces_to_face_group(dir=\"./samples/celebrities\", face_group=\"celebrities\")\n\n# Directory structure\n# **/Images/\n# A/\n# A_K_01.jpg\n# A_K_02.jpg\n# B/\n# B_S_01.jpg\n# B_S_02.jpg\n```\n\nOnce faces are indexed we can run inference on it. \n```python\nafv.parse(img_path=\"./samples/celebrities/Bill Gates/Bill_Gates.jpg\", face_group=\"celebrities\")\n```", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://accessai.co/", "keywords": "", "license": "Apache 2.0", "maintainer": "Majeed Khan", "maintainer_email": "majeed.khan@accessai.co", "name": "access-client", "package_url": "https://pypi.org/project/access-client/", "platform": "", "project_url": "https://pypi.org/project/access-client/", "project_urls": { "Homepage": "https://accessai.co/" }, "release_url": "https://pypi.org/project/access-client/0.0.1/", "requires_dist": null, "requires_python": "", "summary": "", "version": "0.0.1" }, "last_serial": 5551182, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "2e6c07862a1b6549e0ee266bfec89ac5", "sha256": "7e2cdd9846c4076e99b2127ce1d4524071e6eb7c13541b0b590031ac2111f519" }, "downloads": -1, "filename": "access-client-0.0.1.tar.gz", "has_sig": false, "md5_digest": "2e6c07862a1b6549e0ee266bfec89ac5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7322, "upload_time": "2019-07-18T13:22:52", "url": "https://files.pythonhosted.org/packages/fe/6a/5087ca6eb98903bd8f31c6a3f0a2a7c1bfd48616beddbe8f007d198bb503/access-client-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "2e6c07862a1b6549e0ee266bfec89ac5", "sha256": "7e2cdd9846c4076e99b2127ce1d4524071e6eb7c13541b0b590031ac2111f519" }, "downloads": -1, "filename": "access-client-0.0.1.tar.gz", "has_sig": false, "md5_digest": "2e6c07862a1b6549e0ee266bfec89ac5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7322, "upload_time": "2019-07-18T13:22:52", "url": "https://files.pythonhosted.org/packages/fe/6a/5087ca6eb98903bd8f31c6a3f0a2a7c1bfd48616beddbe8f007d198bb503/access-client-0.0.1.tar.gz" } ] }