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

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: Nikita Shulga <nshulga@fb.com>

* rename features._Feature to datapoints.Datapoint

* _Datapoint to Datapoint

* move is_simple_tensor to transforms.utils

* fix CI

* move Datapoint out of public namespace

* expose some prototype transforms utils

* rename _isinstance

* add a signature consistency tests for v1 vs. v2 dispatchers

* temporarily increase test verbosity

* Revert "temporarily increase test verbosity"

This reverts commit 468c73f727af8dde8a2a3cc3063fd64923c50f63.

* fix test to allow annotation deviations

* fill <-> center for rotate

* ignore annotation changes for center / translate in rotate / affine

* Restore BC on perspective

* Fixes linter

* Fixing tests.

* Apply code-review changes.

* Pleasing mypy.

* Revert named parameters.

* Add support of inplace on `convert_format_bounding_box`

* Move `as_subclass` calls to `F` invocations

* Fix bug.

* Fix _cxcywh_to_xyxy.

* Fixing _xyxy_to_cxcywh.

* Adding comments.

* Change random generator for ColorJitter.

* Move `_convert_fill_arg` from runtime to constructor.

* Remove unnecessary TypeVars.

* Remove unnecessary casts

* Update comments.

* Minor code-quality changes on Geometical Transforms.

* Fixing linter and other minor fixes.

* Change mitigation for mypy.`

* Fixing the tests.

* Fixing the tests.

* Fix linter

* Restore dict copy.

* Handling of defaultdicts

* restore int idiom

* Update todo

* remove copy from convert_color_space

* remove copy from convert_format_bounding_box

* remove .to_* methods from features

* remove unnecessary clones

* add perf todos

* refactor convert_color_space

* lint

* remove another clone

* and another clone

* remove a missed copy

* Extend RandomShortestSize to support Video specific flavour of the augmentation

* Adding a test.

* Apply changes from code review

* introduce _check method for type checks on prototype transforms

* cleanup

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

* introduce _check on new transforms

* _check -> _check_inputs

* always check inputs in _RandomApplyTransform
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Removing unnecessary methods/classes.

* Unions instead of ImageOrVideo types

* Fixing JIT issue.

* Change `image_size` to `spatial_size`

* Fix linter

* Fixing more tests.

* Adding get_num_channels_video and get_spatial_size_* kernels for video, masks and bboxes.

* Refactor get_spatial_size

* Reduce the usage of `query_chw` where possible

* Rename `query_chw` to `query_spatial_size`

* Adding `get_num_frames` dispatcher and kernel.

* Adding jit-scriptability tests

* Adding support of Video to missed Transforms and Kernels

* Fixing Grayscale Transform.

* Fixing FiveCrop and TenCrop Transforms.

* Fix Linter

* Fix more kernels.

* Add `five_crop_video` and `ten_crop_video` kernels

* Added a TODO.

* Missed Video isinstance

* nits

* Fix bug on AugMix

* Nits and TODOs.

* Reapply Philip's recommendation

* Fix mypy and JIT

* Fixing test

* replace new_like with wrap_like

* fix videos

* revert casting in favor of ignoring mypy

* add video feature

* add video kernels

* add video testing utils

* add one kernel info

* fix kernel names in Video feature

* use only uint8 for video testing

* require at least 4 dims for Video feature

* add TODO for image_size -> spatial_size

* image -> video in feature constructor

* introduce new combined images and video type

* add video to transform utils

* fix transforms test

* fix auto augment

* cleanup

* address review comments

* add remaining video kernel infos

* add batch dimension squashing to some kernels

* fix tests and kernel infos

* add xfails for arbitrary batch sizes on some kernels

* fix test setup

* fix equalize_image_tensor for multi batch dims

* fix adjust_sharpness_image_tensor for multi batch dims

* address review comments

* refactor RandomCrop

* mypy

* fix test

* use padding directly rather than private attribute

* only compute type specific fill if padding is needed

* [DRAFT] don't use the diff trick

* fix error message
Co-authored-by: vfdev <vfdev.5@gmail.com>

* remove height and width diff

* reinstate separate diff checking

* introduce needs_crop flag
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Fix `size` in resize.

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

* Address some of the comments.

* Fix `output_size` in center_crop.

* Fix `CenterCrop` transform

* Fix `size` in five_crop.

* Fix `size` in ten_crop.

* Fix `kernel_size` and `sigma` in gaussian_blur.

* Fix `angle` and `shear` in affine.

* Fixing JIT-scriptability issues.

* Update TODOs.

* Restore fake types for `Union[int, List[int]]` and `Union[int, float, List[float]]`

* Fixing tests

* Fix linter

* revert unnecessary JIT mitigations.

* Cherrypick Philip's 6dfc9657ce89fe9e018a11ee25a8e26c7d3d43c6

* Linter fix

* Adding center float casting
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Align and Clean up transform types

* Move type definitions to `_utils.py`

* fixing error message on tests

* Apply code review suggestions
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Centralizing types and switching to always getting dicts.

* Fixing linter

* Refactoring typing definitions.

* Remove relative imports.

* Reuse type.

* Temporarily remove the TorchData tests.

* Restore the TorchData tests.
Co-authored-by: vfdev <vfdev.5@gmail.com>

* [proto] Fixed fill type in AA

* Fixed missed typehints

* Set fill as None by default

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

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

* Improve existing low kernel test.

* Add new midlevel jit-scriptability test (failing).

* Remove duplicate aliases from kernel tests.

* Fixing colour kernels.

* Fixing deprecated kernels.

* fix mypy

* Silence mypy instead of fixing to avoid performance penalty

* Fixing augment kernels.

* Fixing augment meta.

* Remove is_tracing calls.

* Add fake ImageType and DType

* Fixing type conversion kernels.

* Fixing misc kernels.

* partial fix geometry

* Remove mutable default from `_pad_with_vector_fill()` + all other unnecessary defaults.

* Fix geometry ops

* Fixing tests

* Removed xfail for jit tests on midlevel ops
Co-authored-by: vfdev-5 <vfdev.5@gmail.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

- call torch.log once can save few ms
- all masks should be selected with is_within_crop_area in RandomIoUCrop
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

* Rename `convert_bounding_box_format` => `convert_format_bounding_box`

* Add missed replacement.

* rename features.SegmentationMask -> features.Mask

* rename kernels *_segmentation_mask -> *_mask and cleanup input name

* cleanup

* rename module _segmentation_mask.py -> _mask.py

* fix test

* 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

* [proto] Fixed bug in ScaleJitter with params

* Updated tests