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604f286 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | """Image transforms for training, validation, and test splits."""
from torchvision import transforms
IMAGENET_MEAN = [0.485, 0.456, 0.406]
IMAGENET_STD = [0.229, 0.224, 0.225]
IMG_SIZE = 224
def get_train_transforms(augment_level="standard"):
if augment_level == "mild":
return transforms.Compose([
transforms.Resize((IMG_SIZE, IMG_SIZE)),
transforms.RandomHorizontalFlip(),
transforms.RandomResizedCrop(IMG_SIZE, scale=(0.8, 1.0)),
transforms.ColorJitter(brightness=0.2, contrast=0.2, saturation=0.1),
transforms.ToTensor(),
transforms.Normalize(mean=IMAGENET_MEAN, std=IMAGENET_STD),
transforms.RandomErasing(p=0.1),
])
return transforms.Compose([
transforms.Resize((IMG_SIZE, IMG_SIZE)),
transforms.RandomHorizontalFlip(),
transforms.RandomResizedCrop(IMG_SIZE, scale=(0.8, 1.0)),
transforms.ToTensor(),
transforms.Normalize(mean=IMAGENET_MEAN, std=IMAGENET_STD),
])
def get_eval_transforms():
return transforms.Compose([
transforms.Resize((IMG_SIZE, IMG_SIZE)),
transforms.ToTensor(),
transforms.Normalize(mean=IMAGENET_MEAN, std=IMAGENET_STD),
])
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