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milk10k_effb2_metadata/data.py

@@ -203,9 +203,10 @@ def first_string(row: pd.Series, field: str) -> str:
 
 def make_transforms(image_size: int):
     normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
+    eval_resize = round(image_size * 1.12)
     train_transform = transforms.Compose(
         [
-            transforms.Resize((image_size, image_size)),
+            transforms.RandomResizedCrop(image_size, scale=(0.75, 1.0), ratio=(1.2, 1.45)),
             transforms.RandomHorizontalFlip(),
             transforms.RandomVerticalFlip(),
             transforms.RandomRotation(20),
@@ -216,7 +217,8 @@ def make_transforms(image_size: int):
     )
     eval_transform = transforms.Compose(
         [
-            transforms.Resize((image_size, image_size)),
+            transforms.Resize(eval_resize),
+            transforms.CenterCrop(image_size),
             transforms.ToTensor(),
             normalize,
         ]
@@ -259,4 +261,3 @@ def build_weighted_sampler(
     generator = torch.Generator()
     generator.manual_seed(args.seed)
     return WeightedRandomSampler(sample_weights, num_samples=len(dataset), replacement=True, generator=generator)
-