Value of coarse_res and upsample_res for ScanNet

[justachetan]

Hi @Parskatt ,

I am trying to run an evaluation of roma_indoor on ScanNet, like what you have used for roma_outdoor in RoMa/experiments/eval_roma_outdoor.py. Could you please tell me what values of coarse_res and upsample_res to use with ScanNet when initializing the model?

Thanks!

Regards,
Aditya

[Parskatt]

Hi, I think I used the default values as in roma_indoor. Although it could be the case that I didn't use upsample_preds, I don't quite remember.

[justachetan]

Thanks! It seems the code does use upsample_preds:

RoMa/roma/models/model_zoo/__init__.py

Line 34 in d5adf65

def roma_indoor(device, weights=None, dinov2_weights=None, coarse_res: Union[int,tuple[int,int]] = 560, upsample_res: Union[int,tuple[int,int]] = 864, amp_dtype: torch.dtype = torch.float16):

Would it be possible to get the parameters used to generate the results? I am getting quite poor results for keypoint matching on the ScanNet test case

[Parskatt]

If you run the model (without keypoints), are you able to get results comparable to our reported results?