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Он не является системой наблюдения, не хранит базы данных лиц и не предназначен для практического использования в целях мониторинга людей.  \n\nПример отчета (демонстрация работы скрипта на тестовых видео):\n\u003cimg width=\"1560\" height=\"1463\" alt=\"bd2cfd2d24e3dfc9fabca34d53c68fc8\" src=\"https://github.com/user-attachments/assets/6a4f20f6-d97a-4db8-b5ab-9b01c4eff7ad\" /\u003e\n\n---\n\n### 🚀 Что делает скрипт\n- Берет папку с видеофайлами и пытается найти на них лица (только для демонстрации).  \n- Сравнивает похожие лица между собой, чтобы показать пример «группировки похожих кадров».  \n- Создает HTML-страничку-отчет (визуализация теста).  \n\nОсновной упор - **на производительность**: можно оценить разницу между CPU и GPU при обработке видеопотока.  \n\n---\n\n### 🛠️ Использованные технологии\n- Python 3.11+\n- dlib (с CUDA)\n- face_recognition\n- OpenCV\n- NumPy\n\n---\n\n## 📄 Лицензия\nMIT - свободное использование в учебных и исследовательских целях.  \n\n## 🤝 Контакты\nЕсли у вас есть идеи или замечания, создавайте issue или PR 🙂  \n\nАвтор: Михаил Шардин  \n[🔗 Моя онлайн-визитка](https://shardin.name/?utm_source=github)  \n[📢 Telegram «Умный Дом Инвестора»](https://t.me/+asaEcPax8o41MjQy)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fempenoso%2Fdoorcam-face-report","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fempenoso%2Fdoorcam-face-report","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fempenoso%2Fdoorcam-face-report/lists"}