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AIIA
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back to og transfomer size

This commit is contained in:
Falko Victor Habel 2025-03-03 18:40:22 +01:00
parent e5ed04fa25
commit 91728a0469
1 changed files with 4 additions and 4 deletions
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8
src/aiia/data/DataLoader.py
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@ -177,7 +177,7 @@ class AIIADataset(torch.utils.data.Dataset):
self.items = items
self.pretraining = pretraining
self.transform = transforms.Compose([
transforms.Resize((256, 256)),
transforms.Resize((224, 224)),
transforms.ToTensor()
])
@ -193,7 +193,7 @@ class AIIADataset(torch.utils.data.Dataset):
raise ValueError(f"Invalid image at index {idx}")
image = self.transform(image)
if image.shape != (3, 256, 256):
if image.shape != (3, 224, 224):
raise ValueError(f"Invalid image shape at index {idx}: {image.shape}")
if task == 'denoise':
@ -215,7 +215,7 @@ class AIIADataset(torch.utils.data.Dataset):
if not isinstance(image, Image.Image):
raise ValueError(f"Invalid image at index {idx}")
image = self.transform(image)
if image.shape != (3, 256, 256):
if image.shape != (3, 224, 224):
raise ValueError(f"Invalid image shape at index {idx}: {image.shape}")
return image, label
else:
@ -223,6 +223,6 @@ class AIIADataset(torch.utils.data.Dataset):
image = self.transform(item)
else:
image = self.transform(item[0])
if image.shape != (3, 256, 256):
if image.shape != (3, 224, 224):
raise ValueError(f"Invalid image shape at index {idx}: {image.shape}")
return image