GitLab

* add limitation of decode_jpeg in the function docstring

* undo unwanted changes in decode_png
Co-authored-by: Ambuj Pawar <your_email@abc.example>

* added crestereo author weights

* update weights name

* synced fl-all metric

* changed resize size config param name

* extended weight sets

* changed weight link

* 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>

* Added maxvit architecture and tests

* rebased + addresed comments

* Revert "rebased + addresed comments"

This reverts commit c5b28398cd48d2f3403c7c8eeefbaba9df05fcfe.

* Re-added model changes after revert

* aligned with partial original implementation

* removed submitit script fixed lint

* mypy fix for too many arguments

* updated old tests

* removed per batch lr scheduler and seed setting

* removed ontap

* added docs, validated weights

* fixed test expect, moved shape assertions in the begging for torch.fx compatibility

* mypy fix

* lint fix

* added legacy interface

* added weight link

* updated docs

* Update references/classification/train.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

* adressed comments

* update ra_maginuted and augmix_severity default values

* adressed some comments

* remove input_channels parameter
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.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>

* Added transforms for Stereo Matching

* changed implicit Y scaling to 0.

* Adressed some comments

* addressed type hint

* Added interpolation random interpolation strategy

* Aligned crop get params

* fixed bug in RandomErase

* Adressed scaling and typos

* Adressed occlusion typo

* Changed parameter order in F.erase

* fixed random erase

* Added inference preset transform for stereo matching

* added contiguous reshape to output tensors

* Adressed comments

* Modified the transform preset to use Tuple[int, int]

* adressed NITs

* added grayscale transform, align resize -> mask

* changed max disparity default behaviour

* added fixed resize, changed masking in sparse flow masking

* update to align with argparse

* changed default mask in asymetric pairs

* moved grayscale order

* changed grayscale api to accept to tensor variant

* mypy fix

* changed resize specs

* adressed nits

* added type hints

* mypy fix

* mypy fix

* mypy fix
Co-authored-by: Joao Gomes <jdsgomes@fb.com>

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

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

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

* ADD: init_weights config for googlenet

* Fix: Inception and googlenet warnings

* Fix: warning in test_datasets.py

* Fix: Formatting error with ufmt

* Fix: Failing tests in quantized_classification_model

* Update test/test_models.py to make googlenet in 1 line
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Refactor: Change inception quantisation class initialization to use args/kwargs

* Resolve mypy issue

* Move *args before inception_blocks

* Move args keywords before other arguments
Co-authored-by: Ambuj Pawar <your_email@abc.example>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
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

- 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>

* fix convert_format_bounding_box, affine_bounding_box, and resize_bounding_box

* fix perspective and elastic

* fix tests

* Remove alias for `pil_to_tensor()`

* Remove alias for `PILToTensor`

* Leave `to_tensor()` as-is.

* Fix linter

* crestereo draft implementation

* minor model fixes. positional embedding changes.

* aligned base configuration with paper

* Adressing comments

* Broke down Adaptive Correlation Layer. Adressed some other commets.

* adressed some nits

* changed search size, added output channels to model attrs

* changed weights naming

* changed from iterations to num_iters

* removed _make_coords, adressed comments

* fixed jit test

* config nit

* Changed device arg to str
Co-authored-by: Joao Gomes <jdsgomes@fb.com>
Co-authored-by: YosuaMichael <yosuamichaelm@gmail.com>

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

* Rename `convert_bounding_box_format` => `convert_format_bounding_box`

* Add missed replacement.

* 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>

* Update raft_stereo to sync forward param with CREStereo and have output_channel

* Add flow_init param to docstring

* Use output_channels instead of output_channel

* Replace depth with disparity since what we predict actually disparity instead of actual depth

* rename features.SegmentationMask -> features.Mask

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

* cleanup

* rename module _segmentation_mask.py -> _mask.py

* fix test

* fix resize for segmentation masks without batch dim

* micro improvement of stable crop

* Revert "micro improvement of stable crop"

This reverts commit e981e36f92dabc8f2ee05bec53a628a476a2b236.

* add generator functions for segmentation masks

* update functional tests and fix kernels

* fix transforms tests

* 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 `handle_legacy_interface()` to all new models.

* Fix imports

* Addressing review comments.

* Fix linter

* Addressing further comments.

* Added Middlebury2014   dataset

* adressed nits

* mypy fix

Changes image size convention to (h, w). I don't think this is used by
models other than SSD which assumes this convention.
Co-authored-by: Nicolas Granger <nicolas.granger@cea.fr>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>