Comments (3)
The data format of OCFBench generally follows semantic-kitti. For other datasets, you can convert the voxel file into the semantic-kitti format (bin file of XYZ array) and then run the visualization.
For converting the whole dataset, if your dataset shares a similar structure with one of our datasets, you can refer to our data processing code in the data_processing
folder.
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Hi, thank you for sharing the great work.
I don't known how to generate the following visualization, can you sharing the visualization code?
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You can use visualize_voxels.py
for visualization.
Note that the corresponding config file assigns color by class labels. To replicate the visualization, you need to first process the voxels to give them pseudo-labels according to their z-axis values.
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Related Issues (9)
- How to run the code on own dataset? HOT 5
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