GitLab

* Fix uninitialized instance variables

* Maintain consistency with other dataset classes

* Fix double assignment

* Fix initialization of self.classes

The URL to download EMNIST seems to have changed. I fixed this.

* Adding tests to ImageFolder

* Adding DatasetFolder class

* Fix tests for pytest and code for lint checker

* Adding mock to requirements for ImageFolder tests

* Remove mocks from requirements

This reverts commit ab03dc43.

* Adding tests to ImageFolder

* Adding DatasetFolder class

* Fix tests for pytest and code for lint checker

* Adding mock to requirements for ImageFolder tests

* Add basic Omniglot dataset loader

* Remove unused import

* Add Omniglot random pair to sample pair of characters

* Precompute random set of pairs, deterministic after object instantiation

* Export OmniglotRandomPair via the datasets module interfact

* Fix naming convention, use sum instead of reduce

* Fix downloading to not download everything, fix Python2 syntax

* Fix end line lint

* Add random_seed, syntax fixes

* Remove randomized pair, take up as a separate generic wrapper

* Fix master conflict

* add __repr__ for datasets

* fix lint

* add scale and ratio params to RandomResizedCrop.get_params

* don't use Image as a context manager to avoid exceptions on close

* flake8

* EMNIST dataset + speedup *MNIST preprocessing

* param to cause FakeData to generate different images

* Added urls to Harris patches on Phototour

* fixed formatting

* fixed flake8 complains

* First commit for semeion dataset

SEMEION Handwritten Digits Data Set
http://archive.ics.uci.edu/ml/datasets/semeion+handwritten+digit

* SEMEION Class

* Fix Lint errors

* More linting errors

is_image_file is now case insensitive
Added docstring to is_image_file
is_image_file now returns true for pgm files

added CIFAR100 autoclass in docs

update SVHN docs to note label change for digit 0

According to the comment, this should be 1MB which is 1024*1024 bytes.

* added FashionMNIST dataset

* documentation

* fixed formatting

* fixed formatting

* enable ~ expression in datasets

* fixed root in __init__ to self.root

Make the labels be 1d tensors of type `np.int64`.
Assign label `0`  to data samples of digit 0. The original dataset assigns them label `10`.

* Add documentation for transforms

* document and remove unused imports in mnist.py

* document lsun, mscoco datasets

* rest of the datasets documented

* Clean up the documentation in other functions

* Add links for datasets

* Add more documentation

* pep8 fix

See https://github.com/python-pillow/Pillow/issues/835