More models and some bug fixes

• Ability to switch image backends between PIL and accimage
• Added more tests
• Various bug fixes and doc improvements

Models

• Fix for inception v3 input transform bug #144
• Added pretrained VGG models with batch norm

Datasets

• Fix indexing bug in LSUN dataset (#177)
• enable ~ to be used in dataset paths
• ImageFolder now returns the same (sorted) file order on different machines (#193)

Transforms

• transforms.Scale now accepts a tuple as new size or single integer

Utils

• can now pass a pad value to make_grid and save_image

More models and datasets. Some bugfixes

New Features

Models

• SqueezeNet 1.0 and 1.1 models added, along with pre-trained weights
• Add pre-trained weights for VGG models
  • Fix location of dropout in VGG
• torchvision.models now expose num_classes as a constructor argument
• Add InceptionV3 model and pre-trained weights
• Add DenseNet models and pre-trained weights

Datasets

• Add STL10 dataset
• Add SVHN dataset
• Add PhotoTour dataset

Transforms and Utilities

• transforms.Pad now allows fill colors of either number tuples, or named colors like "white"
• add normalization options to make_grid and save_image
• ToTensor now supports more input types

Performance Improvements

Bug Fixes

• ToPILImage now supports a single image
• Python3 compatibility bug fixes
• ToTensor now copes with all PIL Image types, not just RGB images
• ImageFolder now only scans subdirectories.
  • Having files like .DS_Store is now no longer a blocking hindrance
  • Check for non-zero number of images in ImageFolder
  • Subdirectories of classes have recursive scans for images
• LSUN test set loads now

Just a version bump

A small release, just needed a version bump because of PyPI.

Add models and modelzoo, some bugfixes

New Features

• Add torchvision.models: Definitions and pre-trained models for common vision models
  • ResNet, AlexNet, VGG models added with downloadable pre-trained weights
• adding padding to RandomCrop. Also add transforms.Pad
• Add MNIST dataset

Performance Fixes

• Fixing performance of LSUN Dataset

Bug Fixes

• Some Python3 fixes
• Bug fixes in save_image, add single channel support

First release

Introduced Datasets and Transforms.

Added common datasets

• COCO (Captioning and Detection)

• LSUN Classification

• ImageFolder

• Imagenet-12

• CIFAR10 and CIFAR100

• Added utilities for saving images from Tensors.