What are some common image transformations in PyTorch?

What are some common image transformations in PyTorch?

In PyTorch, common image transformations include resizing, cropping, flipping, rotating, and normalizing images.

Can you give me an example of how to apply a transformation?

Sure! You can use torchvision.transforms to apply transformations. For example:

from torchvision import transforms

transform = transforms.Compose([
    transforms.Resize((256, 256)),
    transforms.RandomHorizontalFlip(),
    transforms.ToTensor(),
])

How do I apply these transformations to a dataset?

You can apply transformations to a dataset by using the transform parameter in torchvision.datasets. For example:

from torchvision import datasets

train_dataset = datasets.ImageFolder(root='path/to/data', transform=transform)

What if I want to apply different transformations for training and validation?

You can define two separate transformation pipelines, one for training and one for validation, and apply them accordingly.