Mismatch between labels and pointcloud when visualizing a custom dataset GT

I was trying to visualize the ground truth of a sementic segmentation dataset named Rellis-3D and encounted some problems:

I modified the following files according to theirs Semantic KITTI version:

> ml3d/datasets/rellis.py
> ml3d/vis/labellut.py
> ml3d/datasets/_resources/rellis.yaml
> ml3d/datasets/utils/rellis.yaml
> ml3d/datasets/__init__.py
> ml3d/configs/default_cfgs/rellis.yml

I think these files was customized properly, but in the visualizer, the labels and pointcloud were mismatched, for example, as the Figure shows: only "grass" and "fence" was visible, but I got pointcloud of "grass" and "person";

however, when i test the Semantic KITTI dataset, it works well.

Any help is greatly appreciated, thanks!