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About suface_normal Prediction #18
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When estimating the ground-truth of surface normal from depth, we did the same operation to generate the color we want. So the surface normal from predicted depth should do this operation again. |
Can you explain your method to estimate the ground-truth of surface normal from depth? |
For KITTI, we fitted a plane for sparse depth points in a window. Please
vist https://github.com/Cindy-xdZhang/surface-normal for details.
…On Wed, Jan 13, 2021 at 10:07 PM JennyGao00 ***@***.***> wrote:
Can you explain your method to estimate the ground-truth of surface normal
from depth?
Thanks a lot.
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thanks for your reply! |
You can find these parameters in their official toolbox.
On Sun, Jan 24, 2021 at 11:26 PM JennyGao00 <[email protected]>
wrote:
… For KITTI, we fitted a plane for sparse depth points in a window. Please
vist https://github.com/Cindy-xdZhang/surface-normal for details.
… <#m_3864882966769329341_>
On Wed, Jan 13, 2021 at 10:07 PM JennyGao00 *@*.***> wrote: Can you
explain your method to estimate the ground-truth of surface normal from
depth? Thanks a lot. — You are receiving this because you commented. Reply
to this email directly, view it on GitHub <#18 (comment)
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thanks for your reply!
I have ran the above code, but i wonder, numerically, what should f, fx,
fy of the nuydepthv2 dataset be? (like 1, 1, 1, or some other numbers?)
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Hello, JiaxiongQ!
when i read your code, i found that after you predict the surface normal vector, you perform some transformation operations on it. the code is:
outputN = torch.zeros_like(normals2)
outputN[:,:,:,0] = -normals2[:,:,:,0]
outputN[:,:,:,1] = -normals2[:,:,:,2]
outputN[:,:,:,2] = -normals2[:,:,:,1]
I'm confused about this part. Can you explain it,Thank you very much.
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