GitLab

* Fix typos

* Fix link

* pre-commit

* Update torchvision/datasets/food101.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* replace query_recursively with pytree implementation

* simplify
Co-authored-by: vfdev <vfdev.5@gmail.com>

* [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>

Summary:
This diff adds **`skipOperationNotPermittedPackets`** to `DecoderParameters`.

Once that is set to `True`, it allows decoder to skip through those packets, that are causing `EPERM` errors and result into stoppage of consuming a stream.

Reviewed By: jdsgomes

Differential Revision: D38732706

fbshipit-source-id: a5cb64e14edda376e6ba240089ebee2e3a9865d0
Co-authored-by: Oleksandr Voietsa <ovoietsa@fb.com>

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/6432



According to the documentation the packet has to be freed after `av_read_frame()` call.
```
 If pkt->buf is NULL, then the packet is valid until the next
 av_read_frame() or until avformat_close_input(). Otherwise the packet
 is valid indefinitely. In both cases the packet must be freed with
 av_packet_unref when it is no longer needed.
```

Differential Revision: D38747612

fbshipit-source-id: 2e4ccc8365d0d97e5da756ff9c1dcdf27ed323f0
Co-authored-by: Oleksandr Voietsa <ovoietsa@fb.com>

* Added Falling Things datasets

* Renamed split to variant

* Update torchvision/datasets/_stereo_matching.py

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

* added SceneFLow variant datasets

* Changed split name to variant name

* removed trailing commented code line

* Added InStereo2k dataset

* Added Sintel Stereo dataset

* small refactor in tests

* Fixed doc formatting.

* candidate fix for FileNotFound on windows test

* Adressing comments

* Added Sintel Stereo dataset

* small refactor in tests

* Fixed doc formatting.

* candidate fix for FileNotFound on windows test

* Adressing comments

* rebased on main

* lint fix

* Added InStereo2k dataset

Resolves issue reported at https://github.com/pytorch/vision/commit/6e535db255cee3ce878dd7a54dda01d4ec8932c1#commitcomment-81409388

There seems to be a misspelling on the name of the parameter. This PR updates `total_steps` to `total_iters` which is the correct argument.

* added SceneFLow variant datasets

* Changed split name to variant name

* removed trailing commented code line

* Added Sintel Stereo dataset

* small refactor in tests

* Fixed doc formatting.

* candidate fix for FileNotFound on windows test

* Adressing comments

* Added Sintel Stereo dataset

* small refactor in tests

* Fixed doc formatting.

* candidate fix for FileNotFound on windows test

* Adressing comments

* rebased on main

* lint fix

* 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] Clean-up Label.to_categories

* Fixed flake8

* Use --no-implicit-optional for type checking

This is needed for PEP 484 compliant type checking (as of 2018).
mypy will change its defaults soon.

See https://github.com/python/mypy/issues/9091



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

* disable download test for Places365

* add xfail test for broken download servers

* add more comments

* mark SBU download as failing
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* [proto] Another attemp to rewrite RandomCrop

* Fixed implementation issue and updated tests

* shlex -> shutil

* [SKIP CI]

* [skip ci]
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Testing conda metapackage

* Testing

* Testing pytorch-cuda

* Testing

* Testing

* Testing

* Testing

* Testing

* Using new metapackage

* Testing

* Simplifing logic

* Further simplifying

* [proto] Compose keeps BC

* Compose -> Compose(Transform)

* Fix generated CMake file

* Make optional dependencies consistent
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Fix typing jit issue on RoIPool and RoIAlign

* Fix nit.

* Address code review comments.

* [proto] Use F.pad in RandomCrop

* Update torchvision/prototype/transforms/_geometry.py

* init submit

* fix typo

* support ufmt and mypy

* fix 2 unittest errors

* fix ufmt issue

* Apply suggestions from code review
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* unify codes

* fix meshgrid indexing

* fix a bug

* fix type check

* add type_annotation

* add slow model

* fix device issue

* fix ufmt issue

* add expect pickle file

* fix jit script issue

* fix type check

* keep consistent argument order

* add support for pretrained_window_size

* avoid code duplication

* a better code reuse

* update window_size argument

* make permute and flatten operations modular

* add PatchMergingV2

* modify expect.pkl

* use None as default argument value

* fix type check

* fix indent

* fix window_size (temporarily)

* remove "v2_" related prefix and add v2 builder

* remove v2 builder

* keep default value consistent with official repo

* deprecate dropout

* deprecate pretrained_window_size

* fix dynamic padding edge case

* remove unused imports

* remove doc modification

* Revert "deprecate dropout"

This reverts commit 8a13f932815ae25655c07430d52929f86b1ca479.

* Revert "fix dynamic padding edge case"

This reverts commit 1c7579cb1bd7bf2f0f94907f39bee6ed707a97a8.

* remove unused kwargs

* add downsample docs

* revert block default value

* revert argument order change

* explicitly specify start_dim

* add small and base variants

* add expect files and slow_models

* Add model weights and documentation for swin v2

* fix lint

* fix end of files line
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Joao Gomes <jdsgomes@fb.com>

* Extending to support MViTv2

* Fix docs, mypy and linter

* Refactor the relative positional code.

* Code refactoring.

* Rename vars.

* Update docs.

* Replace assert with exception.

* Updat docs.

* Minor refactoring.

* Remove the square input limitation.

* Moving methods around.

* Modify the shortcut in the attention layer.

* Add ported weights.

* Introduce a `residual_cls` config on the attention layer.

* Make the patch_embed kernel/padding/stride configurable.

* Apply changes from code-review.

* Remove stale todo.

* [proto] Fixed issue with `F.pad` from RandomZoomOut

* Fixed failing tests

* Fixed wrong type hint

* Fixed fill=None in pad_image_pil

* Try to support fill=None in functional

* Code formatting

* [proto] Fix for handling Numpy arrays by Transform

* transformed_types -> _transformed_types

* Added Image.normalize and fixed Normalize._transform

* Updated code for normalize, removed Image.normalize

* Expose on Hub the public methods of the registration API

* Limit methods and update docs.

* Update references to use the new Model Registration API

* Expose on Hub the public methods of the registration API

* Limit methods and update docs.

* Make test precision stricter for Classification

* Update classification threshold.

* Update quantized classification threshold.