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However, I have some ques about detail.
Q1: How to downsample points after overlapped patch splitting?
Q2: Why are there such big gaps in the performance of KPConv on the validation and test sets of…
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@tsunghan-mama hi thanks for sharing this wonderful code base i had few queries
1. Does this source code support or can be user for point cloud data lidar for automotive driving scenario
2. Doe…
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Thanks for your great work! I really like this paper and try to reproduce it recently. When I loaded the pretrained weights you provided, I found that the output of the projection head was 128 channel…
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Hello,
Thanks for sharing the code.
I want to add the point-wise refinement module mentioned in the paper to the network, could you tell me some more details about this module like channels etc.…
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Hi, I'm trying to do the binary classification of outliers with your code, but the loss gets stuck at 0.688 (not converged). Any suggestions?
29%|██▉ | 192/658 [02:39
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In fact, I did try to incorporate BD Loss. However, since Lite-HDSeg is not open source, I refer to this [repo](https://github.com/yiskw713/boundary_loss_for_remote_sensing) for the implementation.
…
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### Checklist
- [X] I have searched for [similar issues](https://github.com/isl-org/Open3D-ML/issues).
- [X] I have tested with the [latest development wheel](http://www.open3d.org/docs/latest/get…
kimdn updated
2 years ago
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Hi @nicolas-chaulet
Thanks for bringing in a framework on point cloud tasks! I followed the tutorial till [launch an experiment](https://torch-points3d.readthedocs.io/en/latest/src/tutorials.html#…
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I am using your code on the semanticKITTI dataset, and function: unfolding.projection() raise the following error:
**"Cannot find valid image indices for this point cloud and image size. "
IndexEr…
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Hi, Thomas. Would you be able to help me with another issue? :)
I receive this problem during testing:
Done in 1.2s
e008-i0000 => 0.0% (timings : 65.56 47.31 93.94) / pots 8 => -14.4%
e008-i000…