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VOCMaker

自动化标注工具,用来制作VOC格式的数据集

使用方法

1.环境需求:opencv,python(numpy,cv2)

python中也用到了opencv,安装了opencv后可以在它的python目录下找到cv2.pyd,将其放在python的库搜索目录下。另外还要依赖numpy库。

2.将所有的图片放在程序目录下的imgs文件夹中,然后运行rename.py脚本来生成基本目录并将图片命名转换成标准格式存放在JPEGImages

3.打开VS工程,运行程序并开始标注,记得切换为英文输入。命令如下:

按键 功能
空格 下一张图
a 上一张图
c 清除当前图片的所有标注
o 完成标注并自动生成xml

4.运行txt.py在Main文件夹下生成txt文件

5.完成数据集的制作

演示:

demo

说明

工具简陋但使用也算方便,本机环境可以正常运行,主要是opencv环境,如果无法运行,可以检查一下opencv环境和文件目录是否正确。

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