{"id":21522402,"url":"https://github.com/teddyoweh/omark","last_synced_at":"2025-04-09T22:24:18.806Z","repository":{"id":57676372,"uuid":"487874024","full_name":"teddyoweh/Omark","owner":"teddyoweh","description":"Omarke is a facial search algorithm that implements a binary search algorithm on a facial recognition model which efficiently identifies faces that are absent in pictures based on a dataset.","archived":false,"fork":false,"pushed_at":"2022-11-27T22:56:31.000Z","size":5379,"stargazers_count":18,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-01T07:02:02.834Z","etag":null,"topics":["algorithms","algorithms-and-data-structures","computer-vision","computer-vision-algorithms","face-detection","face-recognition","python"],"latest_commit_sha":null,"homepage":"https://pypi.org/project/Omarke/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/teddyoweh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-05-02T14:24:20.000Z","updated_at":"2024-07-11T01:12:31.000Z","dependencies_parsed_at":"2023-01-22T02:03:14.550Z","dependency_job_id":null,"html_url":"https://github.com/teddyoweh/Omark","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddyoweh%2FOmark","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddyoweh%2FOmark/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddyoweh%2FOmark/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teddyoweh%2FOmark/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/teddyoweh","download_url":"https://codeload.github.com/teddyoweh/Omark/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248121110,"owners_count":21051075,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithms","algorithms-and-data-structures","computer-vision","computer-vision-algorithms","face-detection","face-recognition","python"],"created_at":"2024-11-24T01:10:23.048Z","updated_at":"2025-04-09T22:24:18.779Z","avatar_url":"https://github.com/teddyoweh.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Omark\nOmarke is a facial search algorithm that implements a binary search algorithm on a facial recognition model which efficiently identifies faces that are absent in pictures based on a dataset.\n.\nA pratical use case is taking attendance in class, its captures a classroom and determines which student is in class and which student isn't\n\n# Overview\nThe Omark Program was written with fast use in mind. It provides the following key features\n\n  - Returns a list of total students in class\n  - Returns a list of students absent from class\n  - Returns a list of students present in class\n \n\n\n## Usage\n\nIn the following paragraphs, I am going to describe how you can get and use Omark.\n\n###  Getting it\n\nTo download Omark , either fork this github repo or simply use Pypi via pip, install Omarke.\n```sh\n$ pip install Omarke\n```\n\n### Using it\n\nFirst, import Omark from Omark\n\n```Python\nfrom Omark import Omark \n```\n\n \n## Initialize Omark\nFirst, let's create a new Omark object. For this , just provide the students in a text file and a folder of all the students image with the names saved as the same name stored in the text file.\n\n```Python\n \nom = Omark(students='file.txt',data='folder')\n\n```\n## View all details\n \n\n```Python\n \nom = Omark(students='file.txt',data='folder')\nprint(om.register())\n\n\n```\n## View all students\n \n\n```Python\n \nom = Omark(students='file.txt',data='folder')\nprint(om.students)\n\n\n```\n## View all absent students\n \n\n```Python\n \nom = Omark(students='file.txt',data='folder')\nprint(om.absent)\n\n\n```\n\n ## View all present students\n \n\n```Python\n \nom = Omark(students='file.txt',data='folder')\nprint(om.present)\n\n\n```\n \n\n\nLicense\n----\n\nMIT License\n\nCopyright (c) 2021 Teddy Oweh\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n\nHire me: `teddyoweh`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteddyoweh%2Fomark","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteddyoweh%2Fomark","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteddyoweh%2Fomark/lists"}