{"id":19349383,"url":"https://github.com/koldim2001/auto_annotation_cvat","last_synced_at":"2025-04-13T02:37:10.285Z","repository":{"id":177386036,"uuid":"656804395","full_name":"Koldim2001/Auto_annotation_CVAT","owner":"Koldim2001","description":"Создание автоматической аннотации с использованием предобученной модели YOLOv5","archived":false,"fork":false,"pushed_at":"2023-07-03T08:12:30.000Z","size":30,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T20:05:30.452Z","etag":null,"topics":["auto-annotation","bboxes","cvat","detection","yolo","yolov5"],"latest_commit_sha":null,"homepage":"","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/Koldim2001.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-06-21T17:13:16.000Z","updated_at":"2025-03-24T15:03:18.000Z","dependencies_parsed_at":"2023-07-09T17:46:03.827Z","dependency_job_id":null,"html_url":"https://github.com/Koldim2001/Auto_annotation_CVAT","commit_stats":null,"previous_names":["koldim2001/auto_annotation_cvat"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Koldim2001%2FAuto_annotation_CVAT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Koldim2001%2FAuto_annotation_CVAT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Koldim2001%2FAuto_annotation_CVAT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Koldim2001%2FAuto_annotation_CVAT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Koldim2001","download_url":"https://codeload.github.com/Koldim2001/Auto_annotation_CVAT/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248657854,"owners_count":21140843,"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":["auto-annotation","bboxes","cvat","detection","yolo","yolov5"],"created_at":"2024-11-10T04:26:02.757Z","updated_at":"2025-04-13T02:37:10.256Z","avatar_url":"https://github.com/Koldim2001.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Создание автоматической аннотации в CVAT с использованием предобученной модели YOLOv5\nНеобходимо передать путь к папке с изображениями, которые будут загружены в таску на CVAT. В результате работы программы будет сформирован zip архив с аннотациями, полученными на основе работы предобученной сети yolo.\n\n Все, что останется сделать: после создания таски навестись на панель Actions и выбрать Upload annotations. Далее выбрать в разделе Import format YOLO 1.1 и загрузить тот архив. \n \n PS: В папке extra_data лежат вспомогательные файлы, которые используются в финальном файле аннотаций. Данные файлы необходимо менять исключительно при изменении числа или наименований классов модели.\n\n### Installation:\n```\ngit clone https://github.com/Koldim2001/Auto_annotation_CVAT.git\n```\n```\ncd Auto_annotation_CVAT\n```\n```\npip install -e .\n```\n### Пример скрипта для запуска кода:\n```\nauto_annotate --img_folder=image_folder\n```\n#### Опции для парсинга аргументоов в cli:\n  --img_folder (TEXT)    \u0026emsp;   \u0026emsp;  \u0026emsp;  \u0026emsp;  \u0026emsp;  Папка с изображениями (task из CVAT)\u003c/br\u003e\n  --weights (TEXT)     \u0026emsp;   \u0026emsp;   \u0026emsp; \u0026ensp;   \u0026emsp;  \u0026nbsp; \u0026nbsp; \u0026nbsp;  Путь к натренированным весам yolov5\u003c/br\u003e\n  --annotation_zip_file (TEXT) \u0026emsp;   \u0026emsp;  Имя zip архива аннотаций для CVAT формата YOLO\u003c/br\u003e\n  --conf (FLOAT)     \u0026emsp;    \u0026emsp;  \u0026emsp;   \u0026emsp;  \u0026emsp;  \u0026emsp; \u0026ensp;  Порог уверенности классификатора\u003c/br\u003e\n  --iou (FLOAT)        \u0026emsp;  \u0026emsp;  \u0026emsp;  \u0026emsp;  \u0026emsp;  \u0026emsp;   \u0026emsp;   Порог iou на non max suppression\u003c/br\u003e\n  --help   \u0026emsp;  \u0026emsp;  \u0026emsp;   \u0026emsp;  \u0026emsp;  \u0026emsp;    \u0026emsp;    \u0026emsp;   \u0026emsp;  \u0026nbsp;    Покажет существующие варианты парсинга аргументов\u003c/br\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoldim2001%2Fauto_annotation_cvat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkoldim2001%2Fauto_annotation_cvat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoldim2001%2Fauto_annotation_cvat/lists"}