Thank you for your efforts on this repo!
I'm trying to train the toy dataset by following the documentation.
I was able to train the network and also to infer on the same point cloud (by first removing the classification labels from the las file).

From the log of the training, it seems that the IoU value never gets close to 1.
For example, for the building class, the highest IoU value is something around 0.30.
This doesn't make sense to me, since a visual inspection of the inferred labels shows an almost perfect score
for ground, building and vegetation classes!

So, how are IoU values computed for individual classes? How should I interpret these results?

Thank you in advance for your help!