/
preprocessing.py
71 lines (69 loc) · 2.25 KB
/
preprocessing.py
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import torchvision.transforms as transforms
def get_transform(kind):
if kind == "mnist32":
transform = transforms.Compose(
[
transforms.Resize(32),
transforms.ToTensor(),
transforms.Normalize([0.5], [0.5]),
]
)
elif kind == "mnist32rgb":
transform = transforms.Compose(
[
transforms.Resize(32),
transforms.Grayscale(3),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
]
)
elif kind == "usps32":
transform = transforms.Compose(
[
transforms.ToPILImage(),
transforms.Resize(32),
transforms.ToTensor(),
transforms.Normalize([0.5], [0.5]),
]
)
elif kind == "usps32rgb":
transform = transforms.Compose(
[
transforms.ToPILImage(),
transforms.Resize(32),
transforms.Grayscale(3),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
]
)
elif kind == "mnistm":
transform = transforms.Compose(
[
transforms.Resize(32),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
]
)
elif kind == "svhn":
transform = transforms.Compose(
[
transforms.Resize(32),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
]
)
elif kind == "office":
transform = transforms.Compose(
[
transforms.Resize(256),
transforms.RandomResizedCrop(224),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.Normalize(
mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
),
]
)
else:
raise ValueError(f"Unknown transform kind '{kind}'")
return transform