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[Скачать](http://download.tensorflow.org/models/object_detection/tf2/20200711/ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8.tar.gz)\n- [**LabelImg**](https://github.com/tzutalin/labelImg). Для графической отметки.\n- [**CUDA** 11.2](https://developer.nvidia.com/cuda-11.2.2-download-archive)\n- [**cuDNN** 8.1.1](https://developer.nvidia.com/rdp/cudnn-archive)\n\n### [Инструкция по установке и настройке окружения для распознавания объектов при помощи Tensorflow](https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html)\n\n### [Список GPU, поддерживающих CUDA и оценка их вычислительных возможностей](https://developer.nvidia.com/cuda-gpus)\n\n### [Совместимость версий Tensorflow + Python + Компилятора + Инструмента Сборки + cuDNN + CUDA](https://www.tensorflow.org/install/source_windows#gpu)\n\n### [Инструкция установки CUDA](https://docs.nvidia.com/cuda/archive/11.2.2/cuda-installation-guide-microsoft-windows/index.html)\n\n### Пакеты для работы LabelImg\n\n``` Conda\nconda install -c anaconda lxml\nconda install pyqt=5\n```\n\n### Пакет для работы модуля VLC\n\n``` pip\npip install python-vlc\n```\n\n### Использованный набор данных\n\n- [**Kaggle**. Face Mask Detection by Larxel](https://www.kaggle.com/andrewmvd/face-mask-detection) из *853* изображений\n\n## В маске\n\n![Кадр в маске](WithMask1.png)  \n![Кадр в маске](WithMask2.png)\n\n## Без маски\n\n![Кадр без маски](WithoutMask.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeirbek-dev%2Fface-mask_detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmeirbek-dev%2Fface-mask_detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeirbek-dev%2Fface-mask_detector/lists"}