imistyrain / Mrlabeler
极速检测标注工具An efficient tool for objection detection annotation
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MRLabeler
VOC YOLO 数据集标注工具 V1.4
Change log:
1.4 添加tooltip,更改添加标注框为按shift键以提升标注速度
1.3 添加由Video自动生成标注工程
1.2 添加帮助文件支持
1.1 添加列表框支持鼠标选择文件进行标注,添加键盘切换图片功能
1.0 初版发布,支持矩形框拖动功能
快速上手
编译方法
-
1.按照MRHead的方法搭建好跨平台OpenCV编译环境
-
2.用VS2013打开MRLabeler.sln编译即可
本项目严格按照VOC和YOLO方式组织,各文件夹统一放置到一个目录下,记为DATASETDIR,其中images文件夹用于存放原始图片,Annotations文件夹用于存放VOC格式的标注,labels用于存放YOLO格式的标注,mrconfig.xml作为DATASETDIR数据集的配置文件。
本项目从加载要标注数据集的相关信息,并将原标注一并显示,通过鼠标选中并拖动框的位置,点击下一张(>按钮)或者上一张(<按钮)保存。
你也可以直接在编辑框输入要跳转的索引,直接跳到要标注的位置。
组合框用于设置标注的类别,每次画框前要先对这个进行设置。
数据集配置文件中各个字段的含义如下:
<dataset>
<name>IBM</name>数据集名称,自己定义
<year>0712</year>数据集年代,为支持VOC而用
<imagedir>Image</imagedir>数据集图片文件夹路径,相对于rootdir的路径
<annotationdir>Annotations</annotationdir>原标注文件夹路径,相对于rootdir路径
<labelsdir>labels</labelsdir>YOLO格式标注文件夹路径,相对于本项目的路径
<currentlabelingclass>car</currentlabelingclass>当前要标注的类别名称
<lastlabeledindex>0</lastlabeledindex>最后标注的类别索引
<bsavexml>1</bsavexml>是否保存VOC格式标注,默认保存
<bsavetxt>1</bsavetxt>是否保存YOLO格式标注,默认保存
<classes>所有的类别,每个类别独占一行
<class>face</class>
<class>mask</class>
</classes>
</dataset>
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