fixed formated string

BraTS-inpainting · Jun 13, 2023 · 9dd3d42 · 9dd3d42
1 parent a113599
commit 9dd3d42
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Showing 3 changed files with 3 additions and 4 deletions.
diff --git a/.gitignore b/.gitignore
@@ -9,8 +9,7 @@ dataset/binarySegmentationMasks.gz
 dataset/tumorCompartments.gz
 dataset/healthyMasks.gz
 
-ASNR-MICCAI-BraTS2023-GLI-Challenge-TrainingData
-
+ASNR-MICCAI-BraTS2023-Local-Synthesis-Challenge-Training
 
 ## Baseline model
 

diff --git a/baseline/train_AE.py b/baseline/train_AE.py
@@ -160,7 +160,7 @@ def validation_step(self, batch, batch_idx):
 
     # Get dataset and split it
     if not dataset_path.exists():
-        raise UserWarning('Dataset path "{dataset_path}" does not exist!!')
+        raise UserWarning(f'Dataset path "{dataset_path}" does not exist!!')
     dataset = Dataset_Training(dataset_path, crop_shape=crop_shape, center_on_mask=True)
     train_set, validation_set = torch.utils.data.random_split(dataset, [train_p, val_p])
 

diff --git a/baseline/train_Pix2Pix3D.py b/baseline/train_Pix2Pix3D.py
@@ -248,7 +248,7 @@ def validation_step(self, batch, batch_idx):
 
     # Get dataset and split it
     if not dataset_path.exists():
-        raise UserWarning('Dataset path "{dataset_path}" does not exist!!')
+        raise UserWarning(f'Dataset path "{dataset_path}" does not exist!!')
     dataset = Dataset_Training(dataset_path, crop_shape=crop_shape, center_on_mask=True)
     train_set, validation_set = torch.utils.data.random_split(dataset, [train_p, val_p])
     #Note: if the above line (random_split) results in "ValueError: Sum of input lengths does not equal the length of the input dataset!"