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I'm currently working with the SemanticKITTI dataset for 3D occupancy prediction training , and I’ve encountered a data mismatch issue regarding the voxels subfolder.
Problem Description
In multiple sequences (e.g., sequences/00, sequences/01, etc.), the number of .npz voxel files is significantly greater than the number of corresponding .bin (velodyne) and .label files. Specifically:
Some voxel files (e.g., 002480.npz) exist in the voxels directory, but the corresponding 002480.bin and 002480.label do not exist in velodyne/ or labels/.
As a result, when training or preprocessing data that depends on synchronized inputs (voxels + lidar + labels), this inconsistency can lead to errors or ignored samples.
This also creates difficulty in aligning data for supervised learning or evaluation steps where perfect correspondence between modalities is required.