Hi,

Thanks for the detailed documentation.

I am trying to run the pretrained model using the command.

nnUNetv2_predict -i /DUKE_001 -o /output_DUKE001 -d 101 -c 3d_fullres

but getting the following error.

Traceback (most recent call last):
File "/home/neel/mri/bin/nnUNetv2_predict", line 7, in
sys.exit(predict_entry_point())
File "/home/neel/mri/lib/python3.10/site-packages/nnunetv2/inference/predict_from_raw_data.py", line 944, in predict_entry_point
model_folder = get_output_folder(args.d, args.tr, args.p, args.c)
File "/home/neel/mri/lib/python3.10/site-packages/nnunetv2/utilities/file_path_utilities.py", line 22, in get_output_folder
tmp = join(nnUNet_results, maybe_convert_to_dataset_name(dataset_name_or_id),
File "/home/neel/mri/lib/python3.10/site-packages/nnunetv2/utilities/dataset_name_id_conversion.py", line 74, in maybe_convert_to_dataset_name
return convert_id_to_dataset_name(dataset_name_or_id)
File "/home/neel/mri/lib/python3.10/site-packages/nnunetv2/utilities/dataset_name_id_conversion.py", line 48, in convert_id_to_dataset_name
raise RuntimeError(f"Could not find a dataset with the ID {dataset_id}. Make sure the requested dataset ID "
RuntimeError: Could not find a dataset with the ID 101. Make sure the requested dataset ID exists and that nnU-Net knows where raw and preprocessed data are located (see Documentation - Installation). Here are your currently defined folders:
nnUNet_preprocessed=/mnt/crai/users/neel/preprocessedDataset101_Breast
nnUNet_results=/mnt/crai/users/neel/MAMA-MIA/nnUNet/nnunetv2/nnUNet_pretrained_weights/full_image_dce_mri_tumor_segmentation
nnUNet_raw=/mnt/crai/users/neel/Dataset101_Breast/
If something is not right, adapt your environment variables.

Looks like -d 101 in the command in causing problem.