{ "info": { "author": "armandg", "author_email": "armandg@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# picol\npicol (pronounced \"pickle\") is a Python script to fetch the ten most used colors in an image and present the hex colors.\n\n \n\n## Screens\n![Screenshot1](https://user-images.githubusercontent.com/265139/42291684-9bb36758-7fcd-11e8-933d-733961d8950e.jpg)\n\n![Screenshot2](https://user-images.githubusercontent.com/265139/42291685-9bd48762-7fcd-11e8-81c6-7ef6331cf218.jpg)\n\n![Screenshot3](https://user-images.githubusercontent.com/265139/42291686-9bf4c428-7fcd-11e8-953b-a762da2b3f03.jpg)\n\n\n \n\n## Short description\n\nThis script uses the `colorgram` library to extract the ten most used colors in an image. It then makes an image like shown in the screens above, or it can output text with links to www.hex-color.com.\n\n## How to use\n\nMinimum to run the script is with path to an image as an argument: `./picol.py ~/Pictures/picture.jpg`\n\n\n```\nusage: picol.py [-h] [-s] [-d] [-st] image\n\npositional arguments:\n image\n\noptional arguments:\n -h, --help show this help message and exit\n -s, --save-image Save image to a given file\n -d, --do-not-show Do not show the image that is made\n -st, --save-text Save text to a given file\n```\n\n\n\n\n## Dependencies:\n- colorgram\n- Pillow", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "", "license": "GPL-v3.0", "maintainer": "", "maintainer_email": "", "name": "picol", "package_url": "https://pypi.org/project/picol/", "platform": "", "project_url": "https://pypi.org/project/picol/", "project_urls": null, "release_url": "https://pypi.org/project/picol/0.2/", "requires_dist": null, "requires_python": "", "summary": "picol (pronounced \"pickle\") will fetch the ten most used colors in an image and present the hex colors.", "version": "0.2" }, "last_serial": 4044970, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "908e11a34e524afafc622aa2bceec124", "sha256": "fddd7607ecd73079ea7161a5cccd433a9e4fe32b054b4d050b7339fbddd69d5a" }, "downloads": -1, "filename": "picol-0.1.tar.gz", "has_sig": false, "md5_digest": "908e11a34e524afafc622aa2bceec124", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1144131, "upload_time": "2018-07-06T06:52:45", "url": "https://files.pythonhosted.org/packages/d4/0f/19321a4afcdfcf95570e73629eae3fc991d04e757e8b326d7d677e1f5a26/picol-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "5547ff029bdef4e9bbc19530796d0873", "sha256": "40e946f0fbbe09aec8443efb746caec73cf0e1a90df7914761986950957e58b2" }, "downloads": -1, "filename": "picol-0.2.tar.gz", "has_sig": false, "md5_digest": "5547ff029bdef4e9bbc19530796d0873", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1032667, "upload_time": "2018-07-09T20:12:37", "url": "https://files.pythonhosted.org/packages/5d/d7/4ae316c0688ec4efa503ba63a3994606d25938a7bac4d83c472b6e3a0f4b/picol-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "5547ff029bdef4e9bbc19530796d0873", "sha256": "40e946f0fbbe09aec8443efb746caec73cf0e1a90df7914761986950957e58b2" }, "downloads": -1, "filename": "picol-0.2.tar.gz", "has_sig": false, "md5_digest": "5547ff029bdef4e9bbc19530796d0873", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1032667, "upload_time": "2018-07-09T20:12:37", "url": "https://files.pythonhosted.org/packages/5d/d7/4ae316c0688ec4efa503ba63a3994606d25938a7bac4d83c472b6e3a0f4b/picol-0.2.tar.gz" } ] }