{ "info": { "author": "Ben Russell", "author_email": "bprussell80@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# pixit\nLabel and annotate images using matplotlib widgets.\n\n# Installation\n`pip install pixit`\n\n# Usage\n## ImageSet\nThe `ImageSet` data structure is derivative of the `Bunch` from scikit-learn. It is a dictionary-like object whose keys can be accessed as attributes. The `image` entry of the ImageSet should be a numpy array with images to be displayed using matplotlib. \n\n## label_images\nThe `label_images` method of `ImageSet` brings up a matplotlib GUI for labeling images as one of the `label_names`.\n\n```python\nfrom pixit import datasets\n\nanimals = datasets.load_animals()\nprint(animals.label_names) # ['elephant', 'giraffe', 'tiger', 'zebra']\n\nanimals.label_images()\n```\n\n## annotate_images\nIn development.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/benrussell80/pixit", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "pixit", "package_url": "https://pypi.org/project/pixit/", "platform": "", "project_url": "https://pypi.org/project/pixit/", "project_urls": { "Homepage": "https://github.com/benrussell80/pixit" }, "release_url": "https://pypi.org/project/pixit/0.0.16/", "requires_dist": [ "sklearn", "numpy", "matplotlib", "smartwidgets" ], "requires_python": "", "summary": "Label and annotate images using matplotlib widgets.", "version": "0.0.16" }, "last_serial": 5442114, "releases": { "0.0.16": [ { "comment_text": "", "digests": { "md5": "8dd63c5c16c652abb6c4aa8a5f2feb2e", "sha256": "5ea3b2acc6821944c83f3e1613f5daead61b09a3d554de98ebaaf851db5508e9" }, "downloads": -1, "filename": "pixit-0.0.16-py3-none-any.whl", "has_sig": false, "md5_digest": "8dd63c5c16c652abb6c4aa8a5f2feb2e", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 386053, "upload_time": "2019-06-24T17:31:34", "url": "https://files.pythonhosted.org/packages/b0/4f/3fac591e1f8dbba0ee57a935fe34d80104b98d2f574c0a9513cfbbc8e3e7/pixit-0.0.16-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "e0cbf531294d2dce9caad31bfbd96937", "sha256": "84a472570d778cef80c2bf874b41615268d8ebe52947b8fb55c0e91a4e13ac5f" }, "downloads": -1, "filename": "pixit-0.0.16.tar.gz", "has_sig": false, "md5_digest": "e0cbf531294d2dce9caad31bfbd96937", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 373893, "upload_time": "2019-06-24T17:31:45", "url": "https://files.pythonhosted.org/packages/6d/5d/4998cef926356d9d265d1e1d5221ed2c8d534de380fc30b962f0453fed55/pixit-0.0.16.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8dd63c5c16c652abb6c4aa8a5f2feb2e", "sha256": "5ea3b2acc6821944c83f3e1613f5daead61b09a3d554de98ebaaf851db5508e9" }, "downloads": -1, "filename": "pixit-0.0.16-py3-none-any.whl", "has_sig": false, "md5_digest": "8dd63c5c16c652abb6c4aa8a5f2feb2e", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 386053, "upload_time": "2019-06-24T17:31:34", "url": "https://files.pythonhosted.org/packages/b0/4f/3fac591e1f8dbba0ee57a935fe34d80104b98d2f574c0a9513cfbbc8e3e7/pixit-0.0.16-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "e0cbf531294d2dce9caad31bfbd96937", "sha256": "84a472570d778cef80c2bf874b41615268d8ebe52947b8fb55c0e91a4e13ac5f" }, "downloads": -1, "filename": "pixit-0.0.16.tar.gz", "has_sig": false, "md5_digest": "e0cbf531294d2dce9caad31bfbd96937", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 373893, "upload_time": "2019-06-24T17:31:45", "url": "https://files.pythonhosted.org/packages/6d/5d/4998cef926356d9d265d1e1d5221ed2c8d534de380fc30b962f0453fed55/pixit-0.0.16.tar.gz" } ] }