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