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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: vfdev-5 <vfdev.5@gmail.com>

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

* 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.

* Clean ups on `features` area

* remove unncessary imports

* unwrap features before calling the kernels

* revert double unwrapping

* cleanup

* remove debug raise

* more cleanup

* 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

* replace new_like with wrap_like

* fix videos

* revert casting in favor of ignoring mypy

* move metadata computation from prototype features into kernels

* fix tests

* fix no_inplace test

* mypy

* add perf TODO

* pass metadata directly after input in prototype kernels

* rename img to image

* 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>

* Rename `convert_bounding_box_format` => `convert_format_bounding_box`

* Add missed replacement.

* 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>

* Move imports on constructor.

* Turn `_F` to a property.

* fix linter

* Fix mypy

* Make it class-wide attribute.

* Add tests based on code review

* Making changes from code-reviews.

* Remove the new tests.

* Clean up.

* Adding comments.

* Update the comment link.

* 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

* [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

* Added mid-level ops and feature-based ops

* Fixing deadlock in dataloader with circular imports

* Added non-scalar fill support workaround for pad

* Removed comments

* int/float support for fill in pad op

* Updated type hints and removed bypass option from mid-level methods

* Minor nit fixes

* port RandomZoomOut from detection references to prototype transforms

* copy by default

* move padding parsing to stable API

* merge zoom out kernels into transform

* lint

* fix filling if no padding was done

* resolve todo

* simplify Feature implementation

* fix mypy

* improve StrEnum

* use StrEnum for model weights

* fix test

* migrate StrEnum to main area

* add prototype transforms that don't need dispatchers

* cleanup

* remove legacy_transform decorator

* remove legacy classes

* remove explicit param passing

* streamline extra_repr

* remove obsolete ._supports() method

* cleanup

* remove Query

* cleanup

* fix tests

* kernels -> functional

* move image size and num channels extraction to functional

* extend legacy function to extract image size and num channels

* implement dispatching for auto augment

* fix auto augment dispatch

* revert some naming changes

* remove ability to pass params to autoaugment

* fix legacy image size extraction

* align prototype.transforms.functional with transforms.functional

* cleanup

* fix image size and channels extraction

* fix affine and rotate

* revert image size to (width, height)

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

* revamp prototype features (#5283)

* remove decoding from prototype datasets (#5287)

* remove decoder from prototype datasets

* remove unused imports

* cleanup

* fix readme

* use OneHotLabel in SEMEION

* improve voc implementation

* revert unrelated changes

* fix semeion mock data

* fix pcam

* readd functional transforms API to prototype (#5295)

* readd functional transforms

* cleanup

* add missing imports

* remove __torch_function__ dispatch

* readd repr

* readd empty line

* add test for scriptability

* remove function copy

* change import from functional tensor transforms to just functional

* fix import

* fix test

* fix prototype features and functional transforms after review (#5377)

* fix prototype functional transforms after review

* address features review

* make mypy more strict on prototype features

* make mypy more strict for prototype transforms

* fix annotation

* fix kernel tests

* add automatic feature type dispatch to functional transforms (#5323)

* add auto dispatch

* fix missing arguments error message

* remove pil kernel for erase

* automate feature specific parameter detection

* fix typos

* cleanup dispatcher call

* remove __torch_function__ from transform dispatch

* remove auto-generation

* revert unrelated changes

* remove implements decorator

* change register parameter order

* change order of transforms for readability

* add documentation for __torch_function__

* fix mypy

* inline check for support

* refactor kernel registering process

* refactor dispatch to be a regular decorator

* split kernels and dispatchers

* remove sentinels

* replace pass with ...

* appease mypy

* make single kernel dispatchers more concise

* make dispatcher signatures more generic

* make kernel checking more strict

* revert doc changes

* address Franciscos comments

* remove inplace

* rename kernel test module

* fix inplace

* remove special casing for pil and vanilla tensors

* address comments

* update docs

* cleanup features / transforms feature branch (#5406)

* mark candidates for removal

* align signature of resize_bounding_box with corresponding image kernel

* fix documentation of Feature

* remove interpolation mode and antialias option from resize_segmentation_mask

* remove or privatize functionality in features / datasets / transforms

* improve COCO prototype

* test 2017 annotations

* add option to include captions

* fix categories and add tests

* cleanup

* add correct image size to bounding boxes

* fix annotation collation

* appease mypy

* add benchmark

* always use image as reference

* another refactor

* add support for segmentations

* add support for segmentations

* fix CI dependencies

* return features instead of vanilla tensors from prototype datasets

* fix tests

* remove inplace

* add explanation for __init_subclass__

* fix label for test split

* relax test

* remove pixels

* add prototype features

* add some JIT tests

* refactor input data handling

* refactor tests

* cleanup tests

* add BoundingBox feature

* mypy

* xfail torchscript tests for now

* cleanup

* fix imports