GitLab

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

* fix typos throughout the code base

* fix grammar

* revert formatting changes to gallery

* revert 'an uXX'

* remove 'number of the best'

* Test: add backend parameter

* VideoReader object now works on backend

* Frame reading now passes

* Keyframe seek now passes

* Pyav backend now supports metadata

* changes in test to reflect GPU decoder change

* Linter?

* Test GPU output

* Addressing Joao's comments

* lint

* lint

* Revert "Test GPU output"

This reverts commit f62e955d7dc81bcb23b40d58ea75413b9b62e76d.

* lint?

* lint

* lint

* Address issues in build?

* hopefully doc fix

* Arrgh

* arrgh

* fix typos

* fix input options

* remove read from memory option in pyav

* skip read from mem test for gpu and pyab be

* fix test

* remove unused import

* Hack to get reading from memory work with pyav

* patch audio test

* gallery change in a hope that docs won't break

* check video decoder inside io

* adding missing lib loading code

* remove unused input
Co-authored-by: Bruno Korbar <bkorbar@quansight.com>
Co-authored-by: Joao Gomes <jdsgomes@fb.com>

Co-authored-by: Alexander Jipa <azzhipa@amazon.com>

* Added elastic augment

* ufmt formatting

* updated comments

* fixed circular dependency issue and bare except error

* Fixed three type checking errors in functional_tensor.py

* ufmt formatted

* changed elastic_deformation to a more common implementation

Implementation uses alpha and sigma to control strength and smoothness of the displacement vectors in elastic_deformation instead of control_point_spacings and sigma.

* ufmt formatting

* Some performance updates

Put random offset vectors to device before gaussian_blur is applied speeds it up 3-fold.

* fixed type error

* fixed again a type error

* Update torchvision/transforms/functional_tensor.py
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Added some requested changes

- pil image support similar to GaussianBlur
- changed interpolation arg to InterpolationMode
- added a wrapper in torchvision.transforms.functional.py that gets called by the class in transforms.py
-renamed it to ElasticTransform
- handled sigma = 0 case

* added img docstring

* added some tests

* Updated tests and the code

* Added the requested changes to the arguments of F.elastic_transform

Added random_state and displacement as arguments to F.elastic_transform

* fixed the type error

* Fixed tests and docs

* implemented requested changes

Changes:
1) alpha AND sigma OR displacement must be given as arguments to transforms.functional_tensor.elastic_transform instead of alpha AND sigma AND displacement
2) displacements are accepted in transforms.functional.elastic_transform as np.array and torch.Tensor instead of only accepting torch.Tensor

* ufmt formatting

* trochscript error resolved

replaced torch.from_numpy() to torch.Tensor() to make it compatible to torchscript

* revert to torch.from_numpy()

* updated argument checks and errors

- In F.elastic_transform added check to see if both user inputs img and displacement are either of type PIL Image and ndarray or both of type tensor.
- In F_t.elastic_transform added check if alpha and sigma are None if displacement is given or vice versa.

* fixed seed error

changed torch.seed to torch.manual_seed in F_t.elastic_transform

* Reverted displacement type and other cosmetics

* Other minor improvements

* changed gaussian_blur filter size

changed gaussian_blur filter size
from
4 * int(sigma) + 1
to
int(8 * sigma + 1)
to make it consistent with ernestums implementation

* resolved merge error

* Revert "resolved merge error"

This reverts commit 6a4a4e74ff4d078e2c2753d359185f9a81c415d0.

* resolve merge error

* ufmt formatted

* ufmt formated once again..

* fixed unsupported operand error

* Update API and removed random_state from functional part

* Added default values

* Added ElasticTransform to gallery and updated the docstring

* Updated gallery and added _log_api_usage_once
BTW, matplotlib.pylab is deprecated

* Updated gallery transforms code

* Updates according to review
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Remove `(N, T, H, W, C) => (N, T, C, H, W)` conversion on presets

* Update docs.

* Fix the tests

* Use `output_format` for `read_video()`

* Use `output_format` for `Kinetics()`

* Adding input descriptions on presets

* Update the preprocessing decription for RAFT.

* Fixing incorrect usage of models.

* Fixing the content of viz utils

* Addressing review comments

* Minor updates on model examples.

* Improving wording of auto-generated docs.

* Add general info for pre-trained weights.

* Updating torch hub

* Minor updates

* Make lengthy meta-data partially visible

* Adding meta-data and reference info.

* Minor corrections

* Update docs/source/models_new.rst
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Moving Torch hub section at the end
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Moving basefiles outside of prototype and porting Alexnet, ConvNext, Densenet and EfficientNet.

* Porting googlenet

* Porting inception

* Porting mnasnet

* Porting mobilenetv2

* Porting mobilenetv3

* Porting regnet

* Porting resnet

* Porting shufflenetv2

* Porting squeezenet

* Porting vgg

* Porting vit

* Fix docstrings

* Fixing imports

* Adding missing import

* Fix mobilenet imports

* Fix tests

* Fix prototype tests

* Exclude get_weight from models on test

* Fix init files

* Porting googlenet

* Porting inception

* porting mobilenetv2

* porting mobilenetv3

* porting resnet

* porting shufflenetv2

* Fix test and linter

* Fixing docs.

* Porting Detection models (#5617)

* fix inits

* fix docs

* Port faster_rcnn

* Port fcos

* Port keypoint_rcnn

* Port mask_rcnn

* Port retinanet

* Port ssd

* Port ssdlite

* Fix linter

* Fixing tests

* Fixing tests

* Fixing vgg test

* Porting Optical Flow, Segmentation, Video models (#5619)

* Porting raft

* Porting video resnet

* Porting deeplabv3

* Porting fcn and lraspp

* Fixing the tests and linter

* Porting docs, examples, tutorials and galleries (#5620)

* Fix examples, tutorials and gallery

* Update gallery/plot_optical_flow.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Fix import

* Revert hardcoded normalization

* fix uncommitted changes

* Fix bug

* Fix more bugs

* Making resize optional for segmentation

* Fixing preset

* Fix mypy

* Fixing documentation strings

* Fix flake8

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

* Resolve conflict

* Porting model tests (#5622)

* Porting tests

* Remove unnecessary variable

* Fix linter

* Move prototype to extended tests

* Fix download models job

* Update CI on Multiweight branch to use the new weight download approach (#5628)

* port Pad to prototype transforms (#5621)

* port Pad to prototype transforms

* use literal

* Bump up LibTorchvision version number for Podspec to release Cocoapods (#5624)
Co-authored-by: Anton Thomma <anton@pri.co.nz>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* pre-download model weights in CI docs build (#5625)

* pre-download model weights in CI docs build

* move changes into template

* change docs image

* Regenerated config.yml
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com>
Co-authored-by: Anton Thomma <anton@pri.co.nz>

* Porting reference scripts and updating presets (#5629)

* Making _preset.py classes

* Remove support of targets on presets.

* Rewriting the video preset

* Adding tests to check that the bundled transforms are JIT scriptable

* Rename all presets from *Eval to *Inference

* Minor refactoring

* Remove --prototype and --pretrained from reference scripts

* remove  pretained_backbone refs

* Corrections and simplifications

* Fixing bug

* Fixing linter

* Fix flake8

* restore documentation example

* minor fixes

* fix optical flow missing param

* Fixing commands

* Adding weights_backbone support in detection and segmentation

* Updating the commands for InceptionV3

* Setting `weights_backbone` to its fully BC value (#5653)

* Replace default `weights_backbone=None` with its BC values.

* Fixing tests

* Fix linter

* Update docs.

* Update preprocessing on reference scripts.

* Change qat/ptq to their full values.

* Refactoring preprocessing

* Fix video preset

* No initialization on VGG if pretrained

* Fix warning messages for backbone utils.

* Adding star to all preset constructors.

* Fix mypy.
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com>
Co-authored-by: Anton Thomma <anton@pri.co.nz>

'fix' -> 'fig'

Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* Adding basic augmix implementation.

* Finish the implementation.

* Add tests and documentation.

* Fix tests.

* Simplify code.

* Speed optimizations.

* Per image weights instead of per batch.

* Fix tests.

* Update torchvision/transforms/autoaugment.py
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Changing the default severity value to get by default the same strength as RandAugment.
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Start adding example

* Add thumbnail and text

* Replace video

* Improve

* Change default weights of RAFT model builders

* WIP

* WIP

* update handle_legacy_interface input

* lots of stuff

* Oops, wrong default

* Typo

* NITs

* Reduce image size

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

* Remove link to profile

* Update gallery/plot_optical_flow.py
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>

* Address comments

* Nits

* Revert "Remove link to profile"

This reverts commit 2c7a468c2bb0e14d4f39070524d216cbc153bf1d.
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Start writing gallery example

* Remove the child image fix implementation add code

* add docs

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

* address review update thumbnail
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* Change transforms gallery thumbnail

* Change visualization utils and repurposing annotations gallery thumbnails

* start writing example

* Update example

* Add PenFudan Files

* Update example

* Remove unused files

* Update file and adopt changes

* Create links, fix float
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* ops.masks_to_bounding_boxes

* test fixtures

* unit test

* ignore lint e201 and e202 for in-lined matrix

* ignore e121 and e241 linting rules for in-lined matrix

* draft gallery example text

* removed type annotations from pytest fixtures

* inlined fixture

* renamed masks_to_bounding_boxes to masks_to_boxes

* reformat inline array

* import cleanup

* moved masks_to_boxes into boxes module

* docstring cleanup

* updated docstring

* fix formatting issue

* gallery example

* use torch

* use torch

* use torch

* use torch

* updated docs and test

* cleanup

* updated import

* use torch

* Update gallery/plot_repurposing_annotations.py
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>

* Update gallery/plot_repurposing_annotations.py
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>

* Update gallery/plot_repurposing_annotations.py
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>

* Autodoc

* use torch instead of numpy in tests

* fix build_docs failure

* Closing quotes.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>

* add pre-commit hooks

* ignore yamls in packaging/*

* add pre-commit to contributing guide lines

* Update CONTRIBUTING.md
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* remove some hooks

* fix docstrings

* fix end of files
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Initial Proposal

* Tensor Save Test + Test Name Fix

* Formatting + removing unused argument

* fix old argument

* fix isnan check error + indexing error with jit

* Fix Flake8 error.

* Fix MyPy error.

* Fix Flake8 error.

* Fix PyTorch JIT error in UnitTests due to type annotation.

* Fixing tests.

* Removing type ignore.

* Adding support of ta_wide in references.

* Move methods in classes.

* Moving new classes to the bottom.

* Specialize to TA to TAwide

* Add missing type

* Fixing lint

* Fix doc

* Fix search space of TrivialAugment.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* Adding docs for RandAugment.

* Fix docs.

* Port 'examples/python/video_api.ipynb' to gallery

* Address rst formattion suggestions

Rewrite draw_segmentation_masks and update gallery example to illustrate both instance and semantic segmentation models (#3824)

* Add auto-augment introduced transforms in docs.

* Adding examples in Gallery.

* Make posterize more extreme.

Co-authored-by: Nicolas Hug <nicolashug@fb.com>

Co-authored-by: Nicolas Hug <nicolashug@fb.com>