yolo数据集的数据增强 可实现带标签扩增

上传者: 39740357 | 上传时间: 2023-05-19 17:12:06 | 文件大小: 1.64MB | 文件类型: ZIP
Support data enhancement when there are few data sets(支持数据集较少的情况进行数据增强,包含随机的多种变化) 这是数据集扩增的一个小工具,在您想使用yolo等目标检测算法时数据集较少的情况下能够进行变化增强图片,丰富您的数据集。 (支持LabelIMg和LabelMe标注的文件) 包括3个python文件 rename_file.py能实现文件的重命名,注意修改文件的路径 DataAugmentforLabelImg.py能实现LabelImg标注后的图片的增强(包括模糊,亮度,裁剪,旋转,平移,镜像等变化) DataAugmentforLabelMe.py能实现LabelMe标注后的图片的增强(包括模糊、亮度、平移、镜像等变化) 注意:一些包的安装是必要的,比如Opencv_python等 ##将您需要增强的图片放在对应的文件夹即可,具体可参考demo给出的图片和xml文件存放路径,您放入即可

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