YOLOv5_6.1 自动标记目标框
利用YOLOv5官方6.1版的预测为新数据生成目标框,并将目标框信息保存为txt和xml格式,支持人工使用labelimg进行微调。
输入对象为jpg图片,将需要预测的新图片(jpg)保存在一个文件夹里,并设置auto_label.py的img_path参数为指定文件夹。
输出对象是txt格式文件,对应每张jpg图片中预测到的目标框信息,可以通过process_txt处理成适合labelimg处理的xml标签格式。
This project forked from whs0523003/yolov5_6.1_autolabel
YOLOv5_6.1 自动标记目标框
利用YOLOv5官方6.1版的预测为新数据生成目标框,并将目标框信息保存为txt和xml格式,支持人工使用labelimg进行微调。
输入对象为jpg图片,将需要预测的新图片(jpg)保存在一个文件夹里,并设置auto_label.py的img_path参数为指定文件夹。
输出对象是txt格式文件,对应每张jpg图片中预测到的目标框信息,可以通过process_txt处理成适合labelimg处理的xml标签格式。
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