Hugues THOMAS

for the first error: > File "/home/stud2/j/johanb17/KPConv-PyTorch-master/datasets/SemanticKitti.py", line 796, in iter class_indices = self.dataset.class_frames[i][class_indices] IndexError: tensors used as indices must be long, byte or bool tensors can you try to...

For the second error, it seems you do not have enough frames in your whole dataset to populate one epoch. Can you try to change the configuration parameter: https://github.com/HuguesTHOMAS/KPConv-PyTorch/blob/3a774ff8d54a4d080fe65093b2299ede35d9735d/train_SemanticKitti.py#L162-L163 to...

This other error is the same as the previous one but on the validation set instead of the training set. It seems you do not have many validation frames in...

There is a problem with your loss, it should not be zero. Are you sure you are loading the frame labels well? For the error, it is probably because you...

> What do "checkpoints" from the logs include? The checkpoints are saved models at different epochs that you can use to compare performances at different points in the training or...

Hi @Trexzhou, I just updated a correction like the one I had to make for S3DIS before, where I loop back the epoch finds if they end up higher than...

Hi @yatengLG, Thank you for your help. I tried to google translate your explanation and this is what I understood: The `collate_fn` return an object instance of the batch class...

I will add ```python torch.cuda.empty_cache() ``` to the code as this is a simple solution

Hi @yuvalH9, Thx for your interest in my work. This is indeed a good question, I defined them as parameters because I felt that this is what they are. Even...

Hi @Trexzhou, Thanks for your message, results look really nice. As @working12 mentioned, the `val_radius` and `first_subsampling_dl` are two factors that have a high impact on inference time. In your...