Using pretrained wights for nnunetv2runner

[YazdanSalimi]

I want to use my previously trained nnunet model and do transfer learning on a new dataset. the option offererd by the original reposirory (nnUNetv2_move_plans_between_datasets ) needs preprocessed data. I dis not keep the preprocessed data, is there a way to preprocess the new dataset in the same manner as the old one with -pretrained_weights option in train_single_model function?
Thank you

[KumoLiu]

Hi @YazdanSalimi, for preprocessing new datasets, it would be ideal to make a reference to the nnUNet repository as train_single_model does not inherently handle that. However, it could be beneficial for nnUNetV2Runner to encompass an enhancement to support this feature in an upcoming update. This potential enhancement could streamline our workflow.
https://github.com/MIC-DKFZ/nnUNet/blob/master/documentation/pretraining_and_finetuning.md

Thanks.