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Hi!
I want to train a KPConv network on a dataset that is not implemented in your framwork (in this case, the DALES dataset made of aerial LiDAR data).
I'm a bit confused about the framwork cla…
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Hi! Thanks for implementing the pytorch version!
I met some error when I run 'python3 train_SemanticKitti.py'.
My environment is ubuntu16.04, python=3.5, pytorch=1.2.0, cuda=10.0.
Could you give…
kxhit updated
4 years ago
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The return of this function (Asymm_3d_spconv) is still a dense representation of SparseConvTensor, but how do we restore it to a point-wise representation?
https://github.com/xinge008/Cylinder3D/blob…
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@aRI0U are you planning to implement for semantic kitti dataset also , what is the inference time your getting with your implementation
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I encountered the following error when preprocessing the semanticKITTI
`Traceback (most recent call last):
File "xmuda/data/semantic_kitti/preprocess.py", line 176, in
preprocess('val', root…
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Hello Im DongWan
I summit the lable for SemanticKITTI: Semantic Segmentation
but I take the error
Can you help this
I don't know what's the reason
Traceback (most recent call last):
Fi…
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Thanks for your wonderful work.
I got errors while evaluating using 'torchpack dist-run -np 1 python evaluate.py configs/semantic_kitti/default.yaml --name SemanticKITTI_val_SPVNAS@65GMACs',
…
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Hi @HuguesTHOMAS,
thanks for making your code open-source.
I am currently trying to train KPConv on my own Dataset which is in "kitti-format".
But in the last step of each epoch I get stuck i…
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From what I understand the sphere image projection is independent of the height of the lidar right now. What if the height changes, how do you transform the sphere projection to a different height? As…
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Hi I have a question about the semantic_prob data.
I would like to test with other scan data in KITTI, but I got an error message from the semantic probs that "cannot reshape array of size # into s…