Comments (1)
the fix was
inds = torch.searchsorted(cdf, u, right=True) # searchsorted(cdf, u, side='right')
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Related Issues (20)
- Do we need to run COLMAP with the exact poses given in the datasets like DTU and Blender HOT 2
- depth = (poses[id_im-1,:3,2].T @ (point3D - poses[id_im-1,:3,3])) * sc ,WHY? HOT 3
- Generate colmap data HOT 5
- Colmap with load_llff function
- May I ask if you can provide the DTU self-made dataset required for the source code, including the relevant scenarios of scan2 \ 14 \ 21 \ 64
- problem between pose form colmap sparse point cloud and pose in the dataset HOT 1
- Surface Normals from downsampled image rays HOT 1
- OSError: cannot write mode F as PNG HOT 2
- How to define training set and test set? Is it randomly generated?
- Question about fern_10v in llff dataset
- On passing depths to calculate sigmaloss
- How to partition the DTU dataset? HOT 1
- sigma_ Loss and depth_ Differences in loss HOT 1
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 3
- Hi,I can't run your code because of line 1278, in _save rawmode, mode = _OUTMODES[mode] KeyError: 'F' HOT 2
- configs issue HOT 9
- new experiment by kangle HOT 1
- Is there sometime that sigmaloss may be inf? HOT 1
- 1
- difference of Poses created by colmap and poses created for each dataset
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