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Hi.
Yes, this is not well documented, but the idea is that the first point cloud provided in the point cloud list must contain all the possible labels (i.e. len(pc_labels) == self.cfg['num_classes']). Then, other point clouds must contain a subset of those.
This is not ideal, but it was convenient for our own setup.
Changing this behavior shouldn't be too complicated. I'll try to change it if I find the time to do it :)
并非每个id的点云都能包含所有的类型的标签,训练时配置项默认设定的label数量为5,一旦出现不一致的情况,就会警示⚠️
f"self.cfg['num_classes'] {self.cfg['num_classes']} is different"
AssertionError: self.cfg['num_classes'] 5 is differentfrom len(pc_labels) 3
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