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from torchvision.transforms import (
Normalize,
Compose,
RandomResizedCrop,
InterpolationMode,
ToTensor,
Resize,
CenterCrop,
)
def _convert_to_rgb(image):
return image.convert("RGB")
def image_transform(
image_size: int,
is_train: bool,
mean=(0.48145466, 0.4578275, 0.40821073),
std=(0.26862954, 0.26130258, 0.27577711),
):
normalize = Normalize(mean=mean, std=std)
if is_train:
return Compose(
[
RandomResizedCrop(
image_size,
scale=(0.9, 1.0),
interpolation=InterpolationMode.BICUBIC,
),
_convert_to_rgb,
ToTensor(),
normalize,
]
)
else:
return Compose(
[
Resize(image_size, interpolation=InterpolationMode.BICUBIC),
CenterCrop(image_size),
_convert_to_rgb,
ToTensor(),
normalize,
]
)
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