2025-07-31 23:26 🐛

app.py

@@ -183,7 +183,7 @@ def transform(image: Image.Image, dataset_name: str) -> Tensor:
         base=32
     )
     if new_height != image_height or new_width != image_width:
-        image_tensor = TF.resize(image_tensor, size=(new_height, new_width), interpolation=TF.InterpolationMode.LANCZOS, antialias=True)
+        image_tensor = TF.resize(image_tensor, size=(new_height, new_width), interpolation=TF.InterpolationMode.BICUBIC, antialias=True)
 
     image_tensor = TF.normalize(image_tensor, mean=mean, std=std)
     return image_tensor.unsqueeze(0)  # Add batch dimension