YOLOv5行人重识别+PYQT5操作画面

上传者: 44224801 | 上传时间: 2024-04-12 14:47:53 | 文件大小: 165.3MB | 文件类型: RAR
将YOLOv5行人重识别+PYQT5操作画面相结合,可以实现以下功能: 1. 基于已训练的行人重识别模型,实时进行行人框标注,以进行后续的行人识别。 2. 进行行人框标注后,自动保存到query文件中,得到行人特征,并在输入视频帧中进行行人重识别 3. 操作画面使用PYQT进行简单设计,可以选择输入视频、照片等,并实时显示画面 4. 引用大佬博客https://blog.csdn.net/z240626191s/article/details/129221510?spm=1001.2014.3001.5501

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