Closed ziruiw-dev closed 4 years ago
We used exactly the same dataset and train/test split and setup as PCPNet.
To answer your questions:
Hi @sitzikbs, Thanks for your reply. Best, Zirui
A follow-up question, I noticed that you train with noise level 0.00125, 0.006 and 0.012 and I think none of them exists in the PCPNet dataset. May I ask did you augment those noise levels by yourself?
Which file are you referring to?
I trained with the same data they provided. I think these values correspond to their low, medium and high noise levels. All are a percentage of the bounding box.
Thanks for replying.
When I look at the PCPNet dataset, for one shape, the xyz data in their dataset look like this:
so I am not sure what file do you refer to when your use noise standard deviation sigma = 0.00125 or sigma = 0.006? The first image below is from your Nesti-Net paper, the second image is the PCPNet dataset.
Many thanks.
Ok... I think I understood what you mean. The PCPNet dataset provides a trainset_whitenoise.txt file that specifies they trained with white noise level 1e-2, 5e-2, 1e-1.
Thanks a lot.
Hi @sitzikbs,
Thanks for this work and releasing code. I have two questions regards your paper.
In section 4.1 Datasets, you mentioned the PCPNet test dataset has 22 shapes. I downloaded the PCPNet dataset from the PCPNet project page and found there are only 19 shapes in the test set, and 3 shapes in the validation set and the validation set is a part of the test set, so if I understand correctly, there are only 19 shapes in the test set?
In section 4.2 Training details, you mentioned you trained with 32768 (1024 samples x 32 shapes) random subsets. Does that mean you count 8 shapes with 4 noise levels as 32 shapes?
Best, Zirui