docker build --no-cache ./ -t segstrongc:projnura
docker run --rm -v "F:/SharedDatasets/SegSTRONGC_release/SegSTRONGC_nnunet:/workspace/data" --gpus="device=0" -it segstrongc:projnura
python data_transfer.py
export nnUNet_raw=/workspace/data/nnUNet_raw
export nnUNet_preprocessed=/workspace/data/nnUNet_preprocessed
export nnUNet_results=/workspace/data/nnUNet_weights
nnUNetv2_plan_and_preprocess -d 1 --verify_dataset_integrity -pl nnUNetPlannerResEncM
nnUNetv2_train 1 2d 0 -p nnUNetResEncUNetMPlans -device cuda --npz
nnUNetv2_train 1 2d 1 -p nnUNetResEncUNetMPlans -device cuda --npz
nnUNetv2_train 1 2d 2 -p nnUNetResEncUNetMPlans -device cuda --npz
nnUNetv2_train 1 2d 3 -p nnUNetResEncUNetMPlans -device cuda --npz
nnUNetv2_train 1 2d 4 -p nnUNetResEncUNetMPlans -device cuda --npz