torchvision

The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.

Package Reference

• torchvision.datasets
  • MNIST
  • Fashion-MNIST
  • EMNIST
  • COCO
  • LSUN
  • ImageFolder
  • DatasetFolder
  • Imagenet-12
  • CIFAR
  • STL10
  • SVHN
  • PhotoTour
  • SBU
  • Flickr
  • VOC
• torchvision.models
  • Alexnet
  • VGG
  • ResNet
  • SqueezeNet
  • DenseNet
  • Inception v3
• torchvision.transforms
  • Transforms on PIL Image
  • Transforms on torch.*Tensor
  • Conversion Transforms
  • Generic Transforms
  • Functional Transforms
• torchvision.utils

torchvision.get_image_backend()

Gets the name of the package used to load images

torchvision.set_image_backend(backend)

Specifies the package used to load images.

Parameters:backend (string) – Name of the image backend. one of {‘PIL’, ‘accimage’}. The accimage package uses the Intel IPP library. It is generally faster than PIL, but does not support as many operations.