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eb3afc7 | 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 | """Image preprocessing pipeline for Imager-1-Tiny."""
from torchvision import transforms
IMAGENET_MEAN = [0.485, 0.456, 0.406]
IMAGENET_STD = [0.229, 0.224, 0.225]
def get_transform(train: bool = False):
"""
Return the torchvision transform pipeline.
Args:
train: If True, returns the training pipeline with augmentation.
If False, returns the deterministic inference pipeline.
"""
if train:
return transforms.Compose([
transforms.Resize(256),
transforms.RandomResizedCrop(224, scale=(0.8, 1.0)),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.Normalize(mean=IMAGENET_MEAN, std=IMAGENET_STD),
])
return transforms.Compose([
transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor(),
transforms.Normalize(mean=IMAGENET_MEAN, std=IMAGENET_STD),
])
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