Carsten L

Hi @hyunjung00, Ok, so I assume that you also want to use the same U-Net architecture of nnU-Net on both datasets. For this, you will need to share the plan...

Hi @mehnaz1985, Since this issue has already been discussed and there has been no recent activity, we will close this issue in 2 weeks (Monday 14th of August). If your...

Hi @karllandheer, sorry for the late reply. Generally speaking, I would advocate for giving multiple ground truths as label maps for the same image. Depending on which loss you are...

Hi @RaylinLee, I'm sorry for not getting back to you sooner, but these are fundamental programming issues. Unfortunately, we cannot provide you with the necessary support to move forward. Please...

Hi @xinglianglei, thanks for your question, the multiprocessing in nnU-Net indeed is an essential factor and can be a bit overwhelming. So, I will try to break it down for...

Hi @SanBast, I assume that you are working with nnU-Net v1. Yes, it is true that nnU-Net downloads pretrained models in a temporary folder which is located in the home...

Hi @SanBast, as we are currently running at full capacity, all of our efforts are directed towards nnUNetv2. Therefore we will not implement this. However, feel free to add a...

Hi @akvilonBrown, by sharing the content of your respective nnUNet_results folder for a specific dataset other people can use your models when they are saved in their respective nnUNet_results folders....

Hi @mehnaz1985, nnU-Net uses pytorch and CUDA under the hood. Therefore your NVIDIA driver needs to be compatible with the CUDA version. Therefore it is best to update your CUDA...

This issue seems to have been solved already.