微型电脑应用2024,Vol.40Issue(3) :93-96.

基于YOLOX模型的口罩目标检测研究与应用

Research and Application of Mask Object Detection Based on YOLOX Model

郭永跃 于洋
微型电脑应用2024,Vol.40Issue(3) :93-96.

基于YOLOX模型的口罩目标检测研究与应用

Research and Application of Mask Object Detection Based on YOLOX Model

郭永跃 1于洋2
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作者信息

  • 1. 天津师范大学软件学院,天津 300387
  • 2. 天津师范大学计算机与信息工程学院,天津 300387
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摘要

针对公共场所存在人员密集、异物遮挡面部以及不规范佩戴口罩等问题,以YOLOX网络为基础对人们是否佩戴口罩进行识别,同时使用GIoU损失函数,完善模型的检测效果;使用Albumentations库进行数据增强,提高捕捉面部的准确率;添加GUI设计,使用户的操作更加便捷.实验结果表明,该模型的平均准确率(mAP)达到了 94.36%,可以在光线昏暗等各种环境因素下和面部存在各种遮挡物下准确识别口罩是否遮住口鼻,实时性较好,未来可在教室、商场等公共场所用于检测.

Abstract

In view of the problems of crowded people,foreign bodies may block faces and non-standard wearing masks in public places,YOLOX network is used to identify whether people wear masks,and GIoU loss function is used to improve the detec-tion effect of the model.Albumentations library is used for data enhancement,which can improve the accuracy of capturing faces;GUI design is added to make the user's operation more convenient.The experimental results show that the average accu-racy(mAP)of the model reaches 94.36%,which can accurately identify whether the mask covers the nose and mouth under various environmental factors such as dim light and various obstructions on the face.At the same time,the model has terrific real-time performance and it can be used for testing in classrooms,mall and other public in the future.

关键词

规范佩戴口罩/YOLOX网络/GIoU/GUI设计

Key words

standard wearing mask/YOLOX network/GIoU/GUI design

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基金项目

天津师范大学校级教学改革项目(JGYB01218046)

天津师范大学青年基金(52XQ1403)

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
参考文献量13
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