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vincrichard avatar vincrichard commented on August 29, 2024 1

Hello Dang,
As I remember, since it is panoptic segmentation, at the end your prediction must differentiate both the class and the instances. Here I multiply to 1000 because this provide me with the class id being the first 2 digits and the instance id being the remain 3 digits.

I am using panoptic api for the computation of the pq metric. I am creating this id in order to provide panoptic api with the right inputs. See here for the creation of the input.

Relooking back into panoptic api doc, I thing it's just COCO Panoptic dataset standard to do it like that. I did not find where it was clearly said but you may find it by following the link on their repo talking about the COCO panoptic datasets.
Panoptic api github

I may have also found that it was like this by debugging the code of the pq metrics, I don't really remember.

TLDR; It's a way to have both class information and instance number in the case of things classes.

Hope this helps

from efficientps.

nmddc0211 avatar nmddc0211 commented on August 29, 2024

Hey that really helps, thanks a lot!

from efficientps.

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