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lint
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@@ -66,7 +66,7 @@ class InputDataset(Dataset):
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pil_image = pil_image.resize(newsize, resample=Image.BILINEAR)
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image = np.array(pil_image, dtype="uint8") # shape is (h, w) or (h, w, 3 or 4)
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if len(image.shape) == 2:
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image = (image[:, :, None].repeat(3, axis=2))
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image = image[:, :, None].repeat(3, axis=2)
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assert len(image.shape) == 3
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assert image.dtype == np.uint8
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assert image.shape[2] in [3, 4], f"Image shape of {image.shape} is in correct."
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