Johan

Also, I have an error: class_potentials torch.Size([0]) gen_indices [] gen_classes [] Traceback (most recent call last): File "train_SemanticKitti.py", line 271, in training_sampler.calib_max_in(config, training_loader, verbose=True) File "/home/stud2/j/johanb17/KPConv-PyTorch-master/datasets/SemanticKitti.py", line 927, in calib_max_in...

Thanks. However, I still don't fully understand how to skip "times.txt" and "calib.txt" without getting an error! Should I replace it with a dummy (like the semanticKITTI data?)

Thanks! Sadly I have a new error: Traceback (most recent call last): File "train_SemanticKitti.py", line 311, in trainer.train(net, training_loader, test_loader, config) File "/home/stud2/j/johanb17/KPConv-PyTorch-master/utils/trainer.py", line 167, in train for batch in...

By turning it into a float() i instead get: Traceback (most recent call last): File "train_SemanticKitti.py", line 311, in trainer.train(net, training_loader, test_loader, config) File "/home/stud2/j/johanb17/KPConv-PyTorch-master/utils/trainer.py", line 167, in train for...

Thanks, before testing your suggestion I tried to add .long() to class_indices i was able to run "class_indices = self.dataset.class_frames[i][class_indices.long()]": I also tested to remove unused labels from the dataset-kitti.yaml...

Thank you very much, Thomas! It seems to be running now :) Would you by any chance know why the loss is always zero? Is it something you have seen...

After training it for 6 epochs I encountered another error: ###https://github.com/HuguesTHOMAS/KPConv-PyTorch/issues/129#issuecomment-963215105 Traceback (most recent call last): File "train_SemanticKitti.py", line 311, in trainer.train(net, training_loader, test_loader, config) File "/home/stud2/j/johanb17/KPConv-PyTorch-master/utils/trainer.py", line 188, in...

Thanks a lot! A follow-up questions: 1. What do "checkpoints" from the logs include? 2. Where is the model saved?

Hi, again. I still have a problem with your testing script: Traceback (most recent call last): File "test_models.py", line 227, in tester.slam_segmentation_test(net, test_loader, config) File "/home/stud2/j/johanb17/KPConv-PyTorch-master/utils/tester.py", line 527, in slam_segmentation_test...

> It might be a difference of spconv version; I used spconv==1.2.1, and it is better to keep its version consistent; > > I do not try it with spconv==2.1.6;...