Torchvision Transforms V2 Toimage. To simplify inference, TorchVision bundles the necessary prepr

To simplify inference, TorchVision bundles the necessary preprocessing transforms into each model weight. Output is equivalent up to float precision. v2. Compose ( [v2. v2 import ToImage import torch import numpy as np ToImage() # ToImage() PILImage_data = OxfordIIITPet( root="data", transform=None ) Image_data = OxfordIIITPet( root="data", transform=ToImage() ) Image_data # Dataset OxfordIIITPet # Number of datapoints: 3680 torchvision. transforms and torchvision. NEAREST_EXACT, InterpolationMode. callbacks. data import Dataset, DataLoader,random_split import torch. torchvision.

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