GitLab

* initial docstring

* Revert "initial docstring"

This reverts commit 2bf68ca26e58096885901da0cfa330530974e731.

* revert the formatting changes

* clear up per Victor's comment

* Addressing PR comments
Co-authored-by: Bruno Korbar <korbar@vggdev9.vggdev.cluster>

* Add float support to ColorJitter

* Fix byclass EMNIST

* Fix bymerge, balance, letters EMNIST

* Fix whitespace indent

* Revert unrelated file changes

* Revert unrelated file changes

* Removing unnecessary type conversions.

* Removing the transform and adding dummy class instead.
Co-authored-by: Vasileios Vryniotis <vvryniotis@fb.com>

* fix images extraction

* remove test split

* fix tests

* be less clever in test data generation

* remove micro optimization

* lint

* initial draft

* [dirty] progress

* remove inheritance from ImageFolder

* add tests

* lint

* fix type hints

* align getitem with other datasets

* remove unused import

* add docstring

* guard existing image folders from overwrite

* add missing entry in docstring

* make fixpath more legible

* add Places365 to docs

* Only pull keys from db in lsun for faster cache.

This pull request inhances the speed of the cache creation for lsun dataset. For the "kitchen_train" the speed was getting slow with cache creation taking more then two hours. This speeds up to cache creation in within minutes. The issue was pulling the large image values each time and dropping them.

For more details on this please refer this issue https://github.com/jnwatson/py-lmdb/issues/195.

* Fixed bug in lsun.py when loading multiple categories

* Make linter happy

* add typehints for torchvision.datasets.stl10

* move annotation from class to instance scope

* enable mypy for torchvision.datasets and ignore existing errors

* imagenet

* utils

* lint

Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

Refactoring to use contexts managers, list comprehensions when more idiomatic, and minor renaming to help reader clarity (#2335)

* Refactoring to use contexts managers, list comprehensions when more idiomatic, and minor renaming to help reader clarity.

* Fix flake8 warning in video_utils.py

Now the dataset is not working properly because of this line of code `indices = [i for i in range(len(video_list)) if video_list[i][len(self.root) + 1:] in selected_files]`. 
Performing the `len(self.root) + 1` only make sense if there is no training / to root

```
>>> root = 'data/ucf-101/videos'
>>> video_path = 'data/ucf-101/videos/activity/video.avi'
>>> video_path [len(root ):]
'/activity/video.avi'
>>> video_path [len(root ) + 1:]
'activity/video.avi'
```

Appending the root path also to the selected files is a simple solution and make the dataset works with and without a trailing slash.

* only display extensions if available

* add tests

* fix lint