Merge pull request 'updated version' (#22) from bug_fixes into main
Reviewed-on: #22
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commit
f14ed76b42
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@ -10,7 +10,7 @@ include = '\.pyi?$'
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[project]
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name = "aiia"
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version = "0.1.4"
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version = "0.1.5"
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description = "AIIA Deep Learning Model Implementation"
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readme = "README.md"
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authors = [
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@ -1,6 +1,6 @@
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[metadata]
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name = aiia
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version = 0.1.4
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version = 0.1.5
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author = Falko Habel
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author_email = falko.habel@gmx.de
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description = AIIA deep learning model implementation
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@ -4,4 +4,4 @@ from .data.DataLoader import DataLoader
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from .pretrain.pretrainer import Pretrainer, ProjectionHead
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__version__ = "0.1.4"
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__version__ = "0.1.5"
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@ -177,7 +177,7 @@ class AIIADataset(torch.utils.data.Dataset):
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self.items = items
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self.pretraining = pretraining
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self.transform = transforms.Compose([
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transforms.Resize((384, 384)),
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transforms.Resize((352, 352)),
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transforms.ToTensor()
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])
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@ -193,7 +193,7 @@ class AIIADataset(torch.utils.data.Dataset):
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raise ValueError(f"Invalid image at index {idx}")
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image = self.transform(image)
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if image.shape != (3, 384, 384):
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if image.shape != (3, 352, 352):
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raise ValueError(f"Invalid image shape at index {idx}: {image.shape}")
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if task == 'denoise':
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@ -215,7 +215,7 @@ class AIIADataset(torch.utils.data.Dataset):
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if not isinstance(image, Image.Image):
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raise ValueError(f"Invalid image at index {idx}")
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image = self.transform(image)
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if image.shape != (3, 384, 384):
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if image.shape != (3, 352, 352):
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raise ValueError(f"Invalid image shape at index {idx}: {image.shape}")
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return image, label
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else:
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@ -223,6 +223,6 @@ class AIIADataset(torch.utils.data.Dataset):
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image = self.transform(item)
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else:
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image = self.transform(item[0])
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if image.shape != (3, 384, 384):
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if image.shape != (3, 352, 352):
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raise ValueError(f"Invalid image shape at index {idx}: {image.shape}")
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return image
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