智慧工地-基于YOLOV5安全帽检测系统及危险区域入侵检测告警系统-带GUI界面(包含python源码+项目说明).zip

上传者: DeepLearning_ | 上传时间: 2022-11-30 12:28:52 | 文件大小: 22.23MB | 文件类型: ZIP
智慧工地项目 1、基于YOLOV5安全帽检测系统及危险区域入侵检测告警系统_带GUI界面(包含python源码+项目说明)。 2、该项目是使用 YOLOv5 算法来实现在智能工地安全领域中头盔目标检测的应用。 运用yolov5网络进行工人安全帽检测以及危险区域入侵检测,将报警信息通过微信公众号推送给安全员或者项目负责人。 3、使用的pytorch深度学习框架,python语言编写。 源码中带有pyqt5写的GUI界面,界面按钮名称可以自定义。 资源中含有项目详细操作文档介绍,建议根据项目说明来一步步操作。 【备注】使用过程有问题,请留言或者私信博主!

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