unmannedlab / LiDARNet

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

Home Page:https://unmannedlab.github.io/research/LiDARNet

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SemnaticUSL Validation split

gebawe opened this issue · comments

Hi @maskjp

Thank you for the interesting work.

I have checked the SemnaticUSL dataset, and it seems that sequence 00 to 08 has some annotation, but they a lot of missing/unlabeled/ignored points.
i.e., ss = np.fromfile("00/labels/000001.label", dtype=np.int32)

np.unique(ss, return_counts=True)
(array([ 0, 44, 50, 70, 71], dtype=int32), array([125133, 474, 4297, 767, 401]))

image

Can you please tell me which sequence you have used for validating/Evaluating the model on this SemnaticUSL dataset?

Thank you.

Hi, @awethaileslassie ,

The sequence 3,12,21,32 are fully labeled. We validate on them.

Hope this help!

Best wishes!

Hi @maskjp,

Thank you, that is what I was looking for.
I suppose including this critical information in the dataset description would help other fellows.