ImageNet file xml format to Darknet text format. Works well with directories and subdirectories.

sudo pip install -r requirements.txt

python xmltotxt.py -c cls.txt -xml xml -out out

-xml 

-c, -out

Input xml file.

<annotation>
	<filename>image-0000016.jpg</filename>
	<size>
		<width>1920</width>
		<height>1080</height>
	</size>
	<object>
		<name>sedan</name>
		<bndbox>
			<xmin>75</xmin>
			<ymin>190</ymin>
			<xmax>125</xmax>
			<ymax>210</ymax>
		</bndbox>
	</object>
</annotation>

Output text file.

5 0.052083 0.185185 0.026042 0.018519

I used Darknet for real-time object detection and classification. Sometimes you need to collect your own training dataset for train your model. I collected training dataset images and fine awesome tool for labeling images. But it generates xml files. So I needed to implement tool which translates from ImageNet xml format to Darknet text format. Also compatible with latest YOLOv5 by Ultralytics.