What is PyTorch Vision and how can I use it?

What is PyTorch Vision and how can I use it?

PyTorch Vision is a library that provides tools and datasets for computer vision tasks. It includes pre-trained models, image transformations, and utilities to work with image data.

Can you give me an example of how to load a dataset using PyTorch Vision?

Sure! You can use torchvision.datasets to load datasets like CIFAR-10. Here's a simple example:

import torchvision.datasets as datasets
import torchvision.transforms as transforms

transform = transforms.Compose([
    transforms.ToTensor(),
])

cifar10 = datasets.CIFAR10(root='./data', train=True, download=True, transform=transform)

What are some common image transformations I can apply?

Common transformations include resizing, cropping, flipping, normalization, and color jittering. You can use torchvision.transforms to apply these.

How do I use a pre-trained model for image classification?

You can load a pre-trained model using torchvision.models. For example:

import torchvision.models as models
model = models.resnet18(pretrained=True)
model.eval()