Open SiruLiu645 opened 1 month ago
Hey @SiruLiu645
nnUNet is always designing a specific network for a specific dataset. That means in order to pretrain and finetune these networks need to be the same. Since you are interested in the target dataset you have to let nnUNet design a network architecture for that
nnUNetv2_plan_and_preprocess -d TARGET_DATASET
and use this network also for training on the pretraining dataset. You also need to extract the fingerprint of the source dataset:
nnUNetv2_extract_fingerprint -d SOURCE_DATASET
Then you can take the plans from the target dataset and transfer it to the source:
nnUNetv2_move_plans_between_datasets -s TARGET_DATASET -t SOURCE_DATASET -sp TARGET_PLANS_IDENTIFIER -tp SOURCE_PLANS_IDENTIFIER
If you do everything in default settings SOURCE_PLANS_IDENTIFIER
is just nnUNetPlans
. sp
and tp
are mixed up in the docu, I'll fix that. See also the help:
-s S Source dataset name or id
-t T Target dataset name or id
-sp SP Source plans identifier. If your plans are named "nnUNetPlans.json" then the identifier would be nnUNetPlans
-tp TP Target plans identifier. Default is None meaning the source plans identifier will be kept. Not recommended if the source plans identifier is a default nnU-Net identifier such as nnUNetPlans!!!
Hope this helps!
Hi Morkuss,
I tried to follow the same steps here in this link https://github.com/MIC-DKFZ/nnUNet/blob/master/documentation/pretraining_and_finetuning.md, but I think here the source data is the pretrained data.. However when running this command: nnUNetv2_move_plans_between_datasets -s PRETRAINING_DATASET -t TARGET_DATASET -sp PRETRAINING_PLANS_IDENTIFIER -tp TARGET_PLANS_IDENTIFIER... it keeps giving me an error when start training, but I think the opposite it correct, moving plans from target to the pre-trained.. I am quiet confused which one is correct?
Thanks
hello, I'm trying to fine-tune my pretrained model trained by my own dataset, but I don't know what is SOURCE_PLANS_IDENTIFIER and TARGET_PLANS_IDENTIFIER,can you help me?![image](https://github.com/MIC-DKFZ/nnUNet/assets/116564427/ffe11ffc-fa3e-4c32-9b3c-c7126d1ee948)