GitLab

* Added general reader for sn3 tensors in "pascalvincent" format

* Added class QMNIST into mnist.py

* QMNIST dataset: make some pt files smaller

* Change request from fmassa.

* read_sn3_pascalvincent_tensor: cse

* read_sn3_pascalvincent_tensor: check file size (when strict!=False)

* Fix lint

* More lint

* Add documentation and expose QMNIST to dataset namespace

* add USPS dataset

* minor fixes

* Improvements to the USPS dataset

Add it to the documentation, expose it to torchvision.datasets
and inherit from VisionDataset

* Added Semantic Boundaries Dataset

* Updated docs and datasets importing module

* Improved docs

* initial commit

* fixed Python2 issue

* fixed naming incorrectness and Python2 compability

* fixed preparation of train folder

* removed detection dataset

* added docstring and repr

* moved import of scipy to make the import of torchvision independent of it

* improved conversion from class string to index

* removed support for other years than 2012

* removed accidentally added file

* moved emptying of split folder to avoid accidental deletion

* removed deletion of the images

* removed error conversion for Python2

* Aligned class indices with the indices identified by ImageFolder class

* Add Caltech101 and Caltech256

* Add information about default for target_type

* Fix docs

* Add function to download from Google Drive

* Add CelebA dataset

* Only import pandas when needed

* Addressing comments

* Remove trailing whitespace

* Replace torch.LongTensor with torch.as_tensor

* Add KMNIST

* Add documentation

* Add KMNIST to module's __all__ list

* Add Cityscapes Dataset

* Rename 'label' to 'semantic' to make the meaning more clear

* Add support for gtCoarse target set

* VOC Dataset, linted, flak8 passing, samples on gist.

* Double backtick on values.

* Apply suggestions from code review

Add suggestions from @ellisbrown, using dict of dicts instead of array index.
Co-Authored-By: bpinaya <bpg_92@hotmail.com>

* Fixed errors with the new comments.

* Added documentation on RST

* Removed getBB, added parse_voc_xml, variable naming change.

* Removed unused variable, removed VOC_CLASSES, two new gists for test.

* Add Flickr8k and Flickr30k Datasets

* Add Flickr to the dataset docs

* Sort ids, glob during construction

* annFile -> ann_file

* Fix undefined variable name bug

* Add SBU Captioned Photo Dataset

* Add SBU to the dataset docs

* 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

* EMNIST dataset + speedup *MNIST preprocessing

* 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

* added FashionMNIST dataset

* documentation

* fixed formatting

* fixed formatting