{"id":20951409,"url":"https://github.com/samoed/cv_in_practice","last_synced_at":"2026-04-27T19:01:59.985Z","repository":{"id":207231151,"uuid":"718746100","full_name":"Samoed/CV_in_practice","owner":"Samoed","description":null,"archived":false,"fork":false,"pushed_at":"2024-01-22T08:35:47.000Z","size":7940,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-19T22:48:54.246Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CV_in_practice\n\n## Требуемые зависимости \n\nКлючевым требованием к работе приложения является наличие интерпретатора **Python** версии *3.10* или выше. \n\n## Установка\nДля запуска приложений надо установить зависимости с помощью pdm\n```shell\npdm install --prod\n```\nили `requrenments.txt`\n```shell\npip install -r requirements.txt\n```\n## Запуск\nДля запуска надо выполнить команду\n```shell\npython src/app.py\n```\nПриложение будет выглядеть так:\n![](img/demo.png)\n\n## Масштабируемость\n\nПриложение разработано с учетом масштабируемости и легкости использования на локальных машинах пользователей.\n\n## Разработка\nДля разработки надо установить все библиотеки и скрипты для форматирования кода\n```shell\npdm install\npre-commit install --install-hooks\n```\n\n## Эксперименты\n\nЦелевой метрика: **Recall**, нам важнее распознать как можно больше знаков, так как водитель может не заметить конкретный знак, но зато точно обработает ложное срабатывание.\n\nОбучение и валидация проводились в Colab:\n\n- GPU: 1x Tesla T4\n- CPU: 1x Xeon Processor @2.3Ghz\n- RAM: ~12.6 GB\n\n|          | precision  | recall | mAP50 | mAP50-95 | fitness    | inference speed / sec  |\n| -------- | --------   | -------|-------| -------  | -------    |    -------             |\n| YOLOv8s  | 0.672      |  0.496 | 0.566 | 0.413    | 0.428      |    2.56                |\n| YOLOv8n  | 0.583      |  0.498 | 0.531 | 0.390    | 0.405      |    1.80                |\n\nБыл проведен [перебор параметров (cos_lr, label_smoothing, lr0, optimizer. warmup_momentum) для обучения](./runs.csv) с использованием optuna до 10 эпох.\n\n| Параметр        | лучший результат |\n| --------------- | ---------------- |\n| label_smoothing | 0.427559         |\n| lr0             | 0.006689         |\n| optimizer       | AdamW            |\n| warmup_momentum | 0.815399         |\n| epochs          | 8                |\n| mAP50-95B       | 0.246398         |\n| mAP50B          | 0.355854         |\n| precisionB      | 0.617098         |\n| recallB         | 0.341001         |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamoed%2Fcv_in_practice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamoed%2Fcv_in_practice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamoed%2Fcv_in_practice/lists"}