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hancyran avatar hancyran commented on June 10, 2024

If necessary, we will publish it with the pretrained weights soon.

However, if you can't wait for it, it could be quite simple to implement the experiment on scannet, as we have already provided the scannet options in the train.py. You just need to replace the value of option --dataset with ScanNet_train (to train on training dataset and eval on validation dataset) or ScanNet_trainval (to train on the combo of training and validation datasets). For the preprocessed data, we could provide a google drive link in advance, but you need to write a ScanNet dataloader similar to the S3DIS dataloader.

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YehLi avatar YehLi commented on June 10, 2024

Thanks for your reply. How many gpus do you utilize for training on scannetv2?

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hancyran avatar hancyran commented on June 10, 2024

We use 4 gpus for training here.

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