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Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: vfdev-5 <vfdev.5@gmail.com>

Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: vfdev <vfdev.5@gmail.com>

Co-authored-by: Philip Meier <github.pmeier@posteo.de>

Co-authored-by: Nikita Shulga <nshulga@fb.com>

* fix typos throughout the code base

* fix grammar

* revert formatting changes to gallery

* revert 'an uXX'

* remove 'number of the best'

* fix prototype kernels

* fix stable kernels

* fix tests

* make test more robust

* improve invert for signed integers

* improve invert

* fix posterize

* Revert "assume that integer images are [0, 255] in equalize (#6859)"

This reverts commit 436ff9a5

.

* fix solarize in AA

* fix resize

* Revert "fix resize"

This reverts commit 5f33f4aa73e098237650b794157ec9335d964152.

* add comment to float max value
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* WIP

* _blend optim v1

* _blend and color ops optims: v2

* updated a/r tol and configs to make tests pass

* Loose a/r tolerance in AA tests

* Use custom rgb_to_grayscale

* Renamed img -> image

* nit code update

* PR review

* adjust_contrast convert to float32 earlier

* Revert "adjust_contrast convert to float32 earlier"

This reverts commit a82cf8c739d02acd9868ebee4b8b99d101c3e45e.

* introduce nearest-exact interpolation

* update prototype tests

* update stable tests

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* pad_image_tensor

* pad_mask and pad_bounding_box

* resize_{image_tensor, mask, bounding_box}

* center_crop_{image_tensor, mask}

* {five, ten}_crop_image_tensor

* crop_{image_tensor, mask}

* convert_color_space_image_tensor

* affine_{image_tensor, mask, bounding_box}

* rotate_{image_tensor, mask}

* gaussian_blur_image_tensor

* cleanup

* prevent feature wrapping for inplace ops

* cleanup

* mypy

* refactor __torch_function__ to be more concise

* avoid double lookup

* fix normalize

* refactor normalize

* mypy

* Update the expected removal date for several deprecated API

* Revert the change in models/_utils.py

* Remove removal date on pretrained=True

* Update another message related to pretrained=True

* Also update the warning in kwonly_to_pos_or_kw decorator

* Update remaining message in _utils.py

* Remove Kinetics400 class

* Remove '2007-test' in VOC

* Remove some MobileNet layer classes

* Remove torchvision/models/segmentation/segmentation.py

* Remove some MultiScaleRoIAlign methods

* Remove torchvision/transforms/_functional_video.py

* Remove torchvision/transforms/_transforms_video.py

* Remove resample parameter in transforms

* Remove 'range' parameter

* Remove 'fill_value' parameter in transforms

* Revert to original warning for C++ models - looks like we should still keep them around?

* pre-commit

* Fix docs

* Remove test/test_transforms_video.py

* Some fixes

* Remove more tests

* Revert changes to C++ models

* Add back _transforms_video and change warning message

* Change back the warning message, and will change the warning message on separate PR
Co-authored-by: YosuaMichael <yosuamichaelm@gmail.com>
Co-authored-by: Yosua Michael Maranatha <yosuamichael@fb.com>

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Updated fill arg typehint for affine, perspective and elastic ops

* Updated pad op on prototype side

* Code updates

* Few other minor updates

* WIP

* WIP

* Updates

* Update _image.py

* Fixed tests

* Updated fill arg typehint for affine, perspective and elastic ops

* Updated pad op on prototype side

* Code updates

* Few other minor updates

* Fix bug on `get_image_size()` and move it to deprecated. Introduce generic named spatial/channel equivalents.

* Update tests and fix mypy issues.

* Remove the use of get_image_size from ElasticTransform.

* Fix linter

* Apply suggestions from code review.

* Update torchvision/prototype/transforms/functional/_deprecated.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Further changes from code review.

* Fix linter
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* clean up bboxes

* Adding padding_mode in pad_bbox

* Fixing tests and renamed _compute_output_size to appropriate names
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* [proto] Fixed RandAug implementation

* Fixed randomness in tests for trivial aug

* Fixed all AA tests

* add deprecated color conversion functionals

* allow grayscale tensor inputs in rgb_to_grayscale

* add cloning to tensor no-op

* improve todo comment

* [skip ci]

* use legacy kernels

use legacy kernels

* fix import

* remove duplicate code

* remove duplicate check

* [proto] Fixed to_image_tensor and to_image_pil

* Fixed failing test