How to train DETR on provided LVIS 1%/10%/100% dtaset

[Flaick]

Hi,
Thank you for the great work. Though I am wondering how to train the DETR using the dataset you provided. When I check the caption for each bounding box, I find that the 'salmon_(fish)' and 'salmon_(food)' are merged into 'salmon' using the clean_name() function, resulting in 1199 classes smaller than 1203 classes in the original LVIS dataset.

I am wondering if there is a way to train the conventional DETR using the provided .json file.

Thanks in advance!