Open AlbertHuyb opened 2 years ago
Hello all, thanks for your nice work!
I'm reading and learning about the code implementation for feature back projection.
In line 113 of Atlas/atlas/model.py, the variable self.origin is defined as self.origin = torch.tensor([0,0,0]).view(1,3).
self.origin
self.origin = torch.tensor([0,0,0]).view(1,3)
From my understanding, such a volume can not handle the 3D points with (x<0 || y<0 || z<0).
(x<0 || y<0 || z<0)
I wonder how does this setting deal with the 2D features which are back projected to 3D spaces with (x<0 || y<0 || z<0).
I'm really curious about it.
Thank you!
Hello all, thanks for your nice work!
I'm reading and learning about the code implementation for feature back projection.
In line 113 of Atlas/atlas/model.py, the variable
self.originis defined asself.origin = torch.tensor([0,0,0]).view(1,3).From my understanding, such a volume can not handle the 3D points with
(x<0 || y<0 || z<0).I wonder how does this setting deal with the 2D features which are back projected to 3D spaces with
(x<0 || y<0 || z<0).I'm really curious about it.
Thank you!