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# 3. Define Image Transformations # The image must match the format the model was trained on (ImageNet standards) preprocess = transforms.Compose([ transforms.Resize(256), # Resize the short side to 256 transforms.CenterCrop(224), # Crop the center 224x224 pixels transforms.ToTensor(), # Convert image to PyTorch Tensor transforms.Normalize( # Normalize with ImageNet mean/std mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225] ), ]) Veronika Sorokina HD Vids jpg

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import torch import torch.nn as nn from torchvision import models, transforms from PIL import Image import numpy as np