We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
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!
The text was updated successfully, but these errors were encountered:
No branches or pull requests
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!
The text was updated successfully, but these errors were encountered: