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Unlabeled, but not invalid voxels under the street level in the KITTI-360SSC data #4
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I would also be very interested in that. |
#9 could be the possible cause |
Thank you all for the interest in our work. |
Hi @ahayler , thanks for your interest in our dataset. As for your question, we have carefully double check our SSCBench-KITTI360, and visualize frame 2500 of the 00 sequence you mentioned here, the visualization should be: The black voxels here are regarded as "invalid". If we only visualize the "xxx.label" file, it will be: Now you can see the difference. The reason of your problem could be the visulization tool, please use |
Hey @Louis-Leee, |
Dear all,
first of thank you for providing the dataset. I am trying to evaluate a model on your KITTI-360 benchmark, but have run into one issue. In every scene there are a lot of empty (unlabeled) voxels under the scene that are not labeled as invalids. You can see these voxels in green in the above plot for frame 2500 of the 00 sequence, but I have checked and they seem to persist in every scene of the KITTI-360 dataset.
The exact definition used is: an empty voxel with z <= 6 and only 0 or 255 voxels under it with respect to the z-axis.
Have loaded the data incorrectly? I used your preprocess script with the according .yaml file (both provided in your repository) to generate the 256x256x32 numpy arrays.
These voxels pose a significant challenge to methods that are not directly trained on your dataset e.g. methods only using 2D supervision.
Kind regards,
Adrian
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