RandLA-Net
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NaN values
Please can you help me solve this problem, I am trying to apply the model on my data which contains 6 classes, but either I change the number of classes to 6 or I keep 8 classes because I prepared my data as Semantic3D I still receive NaN values.
can you please tell your running environment? OS, cuda, cudnn and tensorflow version?
I met the same problem and I find the classes of validation data's labels are not equal to the train,maybe missing a few。when I modified it , this problem was solved.