A problem of Validation/ Test phase.

[quangtn266]

Hi author,

Thank you for your work.

Currently, I implement your work on my data. However, in val/test, I got one issue, my depth map score for val/ test have inf and nan score. In your work, I just custom Load_train/valtest to adopt my data.

Can you give me some advice to fix this issue ?

Thank you

[Saurav-31]

score_norm = torch.sum(map_x)/torch.sum(val_maps[:,frame_t,:,:])

This code calculates map score while validation and testing. If ground truth depth map is zeros, score norm will become infinity. Cross check that.

[quangtn266]

score_norm = torch.sum(map_x)/torch.sum(val_maps[:,frame_t,:,:])

This code calculates map score while validation and testing. If ground truth depth map is zeros, score norm will become infinity. Cross check that.

Thank you for your answer, I already fix this issue, because I use images for training and testing, so the current formula here isn't proper for my case.

[Zhangjw0211]

Excuse me, how to correct this code

[Zhangjw0211]

@Saurav-31 @quangtn266 If ground truth depth map is zeros, how to compute the score norm in the val and test? Thank you so much.