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Pytorch geometric is a great package for geometric deep learning, focused on learning on arbitrary graphs as well as on 3D meshes or point clouds. We could think on how we can interact with it.
htt…
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tlsNormalize returns negative values, what does it really normalize?
My 3D point clouds are such that the z varies from about z=70 to z=90 where the data lies.
Should I perhaps translate my data…
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E.g., when trying to transmit point clouds with full resolution and frequency over WiFi, RRC seems to buffer every packet which builds up a lot of latency over time.
Very often it would make more sen…
chhtz updated
11 months ago
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Hi rsasaki, thanks for this project.
I have been using this localization with nav2 stack (slicing the 3rd dimension to 0) and I have faced some issues.
1. When using NDT or GICP, system suffers f…
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Hello does the current code-base have code for imposing a specific order and then serializing it? If no, will you be uploading it? If yes, I can't find it; in fact I think
```python
choice = np.rand…
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Hi vinits:
Thanks for your nice work and open source code. I find the following code is not good, because the normalization operation almost **removes the translation** between the source point cloud…
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When I "make -f makefile_10.0 clean" and "make -f makefile_10.0", I can use the tf_nndistance.nn_distance function ,but no matter what two sets of point clouds I enter, the returned distance and idx a…
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I have a rather large number of frames that were split into standard color and colorized depth images and I've been asked to find a way to convert them to point clouds.
I did try using the `depth_…
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Hi there, thanks for sharing your work!
In your paper, it is said that the sparse point clouds are generated by COLMAP with **ground truth camera poses**.
Does **ground truth camera poses** means …
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Hi,
I'm trying to use the software on a windows system but after creating a project the software crashes after trying to import a point cloud. The clouds are relatively small so I'm not sure where …