Comments (3)
Hi,
did I get correctly that you cannot download it because of some restrictions on your end? Or is there some problem on our side? If I can somehow assist you in downloading the files let me know.
Otherwise, the point cloud fragments from 3DMatch dataset are fused from 50 consecutive depth frames. The code for fusion is available here. For the test dataset you can use the matlab code (some lines have to be un/commented for specific scenes please check the code). For the training dataset we modified the demo.cu
code. Hope this helps you.
Best
Zan
from 3d_multiview_reg.
Thanks for your responce,
I think the network problem is on my side.And is that means if I want to use my own date.I can use the link about the tools and demo.cu to preprocess first.
from 3d_multiview_reg.
Thanks for your response. If you need any other help with either downloading the data or running the code please open a new issue.
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Related Issues (20)
- Processing of Scannet dataset HOT 1
- IndexError HOT 5
- GT Trans Parameters HOT 3
- Key Error HOT 2
- Threshold for losses different than original FCGF
- TypeError: __init__() got an unexpected keyword argument 'has_bias' HOT 4
- Point cloud generation
- Docker Guide
- ValueError: only one element tensors can be converted to Python scalars HOT 1
- Question on new release of the multiview 3D point cloud registration part HOT 7
- IndexError: shape mismatch: indexing arrays could not be broadcast together with shapes (26153,3) (26153,)
- Questions for building environment for project
- Questions for Datasets
- shape mismatch HOT 2
- Inputs must be sparse tensors when processing raw eval data HOT 7
- Multiview registration HOT 5
- Result of the pointcloud after registration HOT 2
- How well does it generalize? HOT 3
- color information in the descriptor HOT 1
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