Train YOLO with the jxgu1016 fork

[DennisFaucher]

Hello,

I just used jxgu1016/BBox-Label-Tool-Multi-Class to classify multiple different chickens in each of 200 images. The images have up to 6 different chickens each. I would like to now use format.py to prepare the labels for a YOLO model. The problem is that format.py does not expect the label format that jxgu1016/BBox-Label-Tool-Multi-Class creates. How can I use this new multi-line label format to train a new YOLO object detection model? Thank you.

This is the format of the jxgu1016/BBox-Label-Tool-Multi-Class labels for a single image:

4
66 201 236 452 Kielyr
421 235 578 369 Vespyr
653 217 885 376 Bo
918 159 1156 617 Zaja

format.py is here: https://github.com/chuanenlin/autoturk/blob/master/format.py