I made YOLO annotations script

[galaktyk]

here
It create .txt yolo format annotation out from downloaded images
compatible with other visualizer e.g. labelImg, boobs

*now read .csv in small chunk so it wont crash my potato PC and re-arrange if condition to improve speed.

[EscVM]

Hi,
good work @galaktyk! I created one too, but it's still not complete. For now, it works only with separated classes. In the following days I'll implement also multi-label translation (when more classes are in the same folder). Nevertheless, you can peep to my script ---> here.

[EscVM]

Hi @galaktyk,
I've just upadated the "oid to yolo" script. It has far more features than the previous version, but it still can be improved.
Feature
Convert:

• convert one class to yolo format
• convert multiple classes in a common folder to yolo format
• copy all pictures together with the new created labels
• create the .name file with the classes

Dummy:

• add to the converted folder, pictures of a different class with void labels. It's helpful to had negative examples to the dataset

Enjoy ;)

[pullmyleg]

@EscVM just a note there is a small issue with the latest version. The previous version works fine.

File "oid_to_yolo.py", line 177
try:
^
TabError: inconsistent use of tabs and spaces in indentation

Thanks for the great tools!