{"title":"使用OpenCV和深度学习的Python掩码检测","authors":"V. Brito, P. Santos, A. C. Carvalho Filho","doi":"10.5753/sbc.7669.6.2","DOIUrl":null,"url":null,"abstract":"In view of the pandemic scenario we are experiencing, we propose a minicourse aimed at the application of Computer Vision techniques that can be useful to support the authorities in the control of restrictive measures. The minicourse aims to explain the concepts of techniques such as Convolutional Neural Network, Multi-task Cascaded Convolutional Networks, FaceNet and Multilayer Perceptron, practically applying such techniques in a Computer Vision system to detect whether people in a given environment are or are not using mask. This chapter describes the technologies used in the mini-course, as well as the steps involved in implementation.","PeriodicalId":215967,"journal":{"name":"Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detecção de Máscara em Python Usando OpenCV e Deep Learning\",\"authors\":\"V. Brito, P. Santos, A. C. Carvalho Filho\",\"doi\":\"10.5753/sbc.7669.6.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the pandemic scenario we are experiencing, we propose a minicourse aimed at the application of Computer Vision techniques that can be useful to support the authorities in the control of restrictive measures. The minicourse aims to explain the concepts of techniques such as Convolutional Neural Network, Multi-task Cascaded Convolutional Networks, FaceNet and Multilayer Perceptron, practically applying such techniques in a Computer Vision system to detect whether people in a given environment are or are not using mask. This chapter describes the technologies used in the mini-course, as well as the steps involved in implementation.\",\"PeriodicalId\":215967,\"journal\":{\"name\":\"Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/sbc.7669.6.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/sbc.7669.6.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecção de Máscara em Python Usando OpenCV e Deep Learning
In view of the pandemic scenario we are experiencing, we propose a minicourse aimed at the application of Computer Vision techniques that can be useful to support the authorities in the control of restrictive measures. The minicourse aims to explain the concepts of techniques such as Convolutional Neural Network, Multi-task Cascaded Convolutional Networks, FaceNet and Multilayer Perceptron, practically applying such techniques in a Computer Vision system to detect whether people in a given environment are or are not using mask. This chapter describes the technologies used in the mini-course, as well as the steps involved in implementation.