基于pyqt的YOLOv5目标训练和检测界面实现(含图片爬虫下载、数据集标注、数据一键配置、训练、图片、视频和摄像头实时检测)

上传者: yzf060109 | 上传时间: 2024-03-26 17:58:34 | 文件大小: 319.02MB | 文件类型: ZIP
YOLOv5框架,将源码进行封装,并利用pyqt实现了训练+检测2个部分的界面功能。训练部分,从图片爬虫下载、数据标注、数据集配置到最后的训练;检测部分,从检测参数设置(支持实时设置置信度和IOU等)、数据选择(支持图片、视频和多种摄像头)到结果显示。全部实现界面开发和多线程调度处理。

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