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

Co-authored-by: Nicolas Hug <nicolashug@meta.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

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

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

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-5 <vfdev.5@gmail.com>

* expose some prototype transforms utils

* rename _isinstance

* remove prototype datasets from CI

* move encoded features to prototype datasets namespace

* remove decoding transforms

* [REVERT ME] reinstate prototype datasets CI

* Revert "[REVERT ME] reinstate prototype datasets CI"

This reverts commit 215fb185cf6be5be7adf0388116c77acc9a5d3f3.

* Adding temporal sampling kernel and dispatcher.

* Adding the UniformTemporalSubsample class.

* Add it on init

* Adding tests.

* Addressing comments.

* Reverting proposal as it led to different results.

* add more tests for uniform_temporal_subsample

* cleanup

* fix logic

* fix logic

* make test more strict

* lint

* Update torchvision/prototype/transforms/functional/_temporal.py

* remove pytorchvideo again per request
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add KernelInfo

* split dtype and device consistency tests

* add proper support for video

* fix tests and add DispatcherInfo

* add aliases

* cleanup

* fix typo

* Add PermuteDimensions and TransposeDimensions transforms

* Strip Subclass info.

* Apply changes from code review.

* added crestereo author weights

* update weights name

* synced fl-all metric

* changed resize size config param name

* extended weight sets

* changed weight link

* port RandomResize from segmentation references

* mypy

* remove optional max_size

* add interpolation and antialias

* [SKIP CI] only CircleCI

* fix bug

* [SKIP CI] only CircleCI

* [SKIP CI] add test

* add aliases for hflip and vflip

* reduce imports from torchvision.transforms in torchvision.prototype.transforms

* add aliases for to_pil_image abd pil_to_tensor

* deprecate to_tensor

* add some FIXME cleanup comments

* address reviews

* add dimension getters

* undeprecate PILToTensor and ToPILImage

* address review

* fix test

* add cleanup transformation for bounding boxes

* change the cleanup transform to an actual compose

* address review

* address naming

* use box_area op

* [skip ci] plural

* split compose into its parts and expose them

* cleanup

* more import cleanup

* Update torchvision/prototype/transforms/_misc.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* WIP

* [proto] Added SimpleCopyPaste transform

* Refactored and cleaned the implementation and added tests

* Fixing code

* Fixed code formatting issue

* Minor updates

* Fixed merge issue
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* remove BatchMultiCrop

* address review

* let FiveCrop return tuples

* WIP

* Fixed dtype correction and tests

* Removed PIL Image support and output always Tensor

* port `FixedSizeCrop` from detection references to prototype transforms

* mypy

* [skip ci] call invalid boxes and corresponding masks and labels

* cherry-pick missing functions from #6401

* fix feature wrapping

* add test

* mypy

* add input type restrictions

* add test for _get_params

* fix input checks

* [proto] Ported RandomIoUCrop from detection refs

* Scope acceptable data types

* Added get_params test

* Added test__transform_empty_params

* Added support for OneHotLabel and tests

* Added tests for mask

* Updated error message

* Apply suggestions from code review
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Added support for OHE masks and tests

* Ignored mypy error

* Fixed forward call on sample

* Added a todo
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* port `RandomShortestSize` from detection references to prototype transforms

* mypy

* add test

* fix TenCrop

* use dispatchers for RandomPhotometricDistort

* add convert_color_space dispatcher and use it in conversion transforms

* fix convert_color_space naming scheme

* add to_color_space method to Image feature

* remove TODO from BoundingBox.to_format()

* fix test

* fix imports

* fix passthrough

* remove apply_recursively in favor of pytree

* refactor BatchMultiCrop

* port ScaleJitter from detection reference to prototype transforms

* add test

* use MagicMock as sentinel

* [proto] Fix for handling Numpy arrays by Transform

* transformed_types -> _transformed_types

* [proto] Added few transforms tests, part 1 (#6262)

* Added supported/unsupported data checks in the tests for cutmix/mixup

* Added RandomRotation, RandomAffine transforms tests

* Added tests for RandomZoomOut, Pad

* Update test_prototype_transforms.py

* Added RandomCrop transform and tests (#6271)

* [proto] Added GaussianBlur transform and tests (#6273)

* Added GaussianBlur transform and tests

* Fixing code format

* Copied correctness test

* [proto] Added random color transforms and tests (#6275)

* Added random color transforms and tests

* Disable smoke test for RandomSolarize, RandomAdjustSharpness

* Added RandomPerspective and tests (#6284)

- replaced real image creation by mocks for other tests

* Added more functional tests (#6285)

* [proto] Added elastic transform and tests (#6295)

* WIP [proto] Added functional elastic transform with tests

* Added more functional tests

* WIP on elastic op

* Added elastic transform and tests

* Added tests

* Added tests for ElasticTransform

* Try to format code as in https://github.com/pytorch/vision/pull/5106



* Fixed bug in affine get_params test

* Implemented RandomErase on PIL input as fallback to tensors (#6309)

Added tests

* Added image_size computation for BoundingBox.rotate if expand (#6319)

* Added image_size computation for BoundingBox.rotate if expand

* Added tests

* Added erase_image_pil and eager/jit erase_image_tensor test (#6320)

* Updates according to the review
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* upgrade usort to

* Also update black

* Actually use 1.0.2

* Apply pre-commit
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Another attempt to add transforms

* Fixed padding type hint

* Fixed fill arg for pad and rotate, affine

* code formatting and type hints for affine transformation

* Fixed flake8

* Updated tests to save and load transforms

* Fixed code formatting issue

* Fixed jit loading issue

* Restored fill default value to None
Updated code according to the review

* Added tests for rotation, affine and zoom transforms

* Put back commented code

* Random erase bypass boxes and masks
Go back with if-return/elif-return/else-return

* Fixed acceptable and non-acceptable types for Cutmix/Mixup

* Updated conditions for _BaseMixupCutmix