GitLab

* fix HttpResource.resolve() with preprocess set

* fix README

* add safe guard for invalid str inputs

* Added functional affine_bounding_box op with tests

* Updated comments and added another test case

* Update _geometry.py

* Added affine_segmentation_mask with tests

* Fixed device mismatch issue
Added a cude/cpu test
Reduced the number of test samples

* Added test_correctness_affine_segmentation_mask_on_fixed_input

* Updates according to the review

* Replaced [None, ...] by [None, :]

* Adressed review comments

* Fixed formatting and more updates according to the review

* Fixed bad merge

* [proto] Added functional rotate_bounding_box op

* Fix mypy

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

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

* port ColorJitter to prototype transforms

* make color module private

* address review comments

* 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>

* update urls for kinetics dataset

* update urls for kinetics dataset

* remove errors

* update the changes and add test option to split

* added test to valid values for split arg

* change .txt to .csv for annotation url of k600
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

To mitigate missing `libcupti.so` dependency

* xfail mobilnet norm layer test

* fix test

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

Co-authored-by: Federico Pozzi <federico.pozzi@argo.vision>

* Remove unnecessary PYTORCH_TEST_WITH_SLOW env

* Completely remove skip

* pre-download model weights in CI docs build

* move changes into template

* change docs image

Co-authored-by: Anton Thomma <anton@pri.co.nz>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* port Pad to prototype transforms

* use literal

* replace most asserts with exceptions

* fix formating issues

* fix linting and remove more asserts

* fix regresion

* fix regresion

* fix bug

* apply ufmt

* apply ufmt

* fix tests

* fix format

* fix None check

* fix detection models tests

* non scriptable any

* add more checks for None values

* fix retinanet test

* fix retinanet test

* Update references/classification/transforms.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Update references/classification/transforms.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Update references/optical_flow/transforms.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Update references/optical_flow/transforms.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Update references/optical_flow/transforms.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* make value checks more pythonic:

* Update references/optical_flow/transforms.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* make value checks more pythonic

* make more checks pythonic

* fix bug

* appy ufmt

* fix tracing issues

* fib typos

* fix lint

* remove unecessary f-strings

* fix bug

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

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

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

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

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

* address PR comments

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

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

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

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

* address PR comments

* addressing further pr comments

* fix bug

* remove unecessary else

* apply ufmt

* last pr comment

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

* Added functional affine_bounding_box op with tests

* Updated comments and added another test case

* Update _geometry.py

* Fixed device mismatch issue
Added a cude/cpu test
Reduced the number of test samples

* Change optical flow train.py function name from validate to evaluate so it is similar to other references

* Add --device as parameter and enable to run in non distributed mode

* Format with ufmt

* Fix unneccessary param and bug

* Enable saving the optimizer and scheduler on the checkpoint

* Fix bug when evaluate before resume and save or load model without ddp

* Fix case where --train-dataset is None
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* refactor: port RandomHorizontalFlip to prototype API (#5523)

* refactor: merge HorizontalFlip and RandomHorizontalFlip

Add unit tests for RandomHorizontalFlip

* test: RandomHorizontalFlip with p=0

* refactor: remove type annotations from tests

* refactor: improve tests

* Update test/test_prototype_transforms.py
Co-authored-by: Federico Pozzi <federico.pozzi@argo.vision>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* update latest stable version in README

* fix python version

* update python version

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

* Moving `sequence_to_str` to `torchvision._utils`

* Fix linter

* Rename test_prototype_utils test to test_internal_utils

* 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

* [DEBUG] eurosat prototype on windows and macos

* print paths

* fix eurosat mock data setup

* revert changes

* minor cleanup

'fix' -> 'fig'

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

* revert changes to assert_equal

* add tolerances for batch vs single test

* basic stanford cars structure added.

* added class in the init.

* how to decode the images

* fix typo in init

* works partially

* formatting

* formatting

* formatting

* formatting

* formatting

* minor changes

* minor changes

* issue resolved

* both datapipes are in sync

* checksum dict keys changed

* formatting

* "ufmt formatting"

* "ufmt formatting"

* formatting

* minor change

* minor change

* test added

* lint (end of line issue)

* lint (end of line issue)

* minor changes

* mock dataset formatting

* minor changes

* hopefully final

* formatting

* prototype test

* prototype test

* prototype test

* prototype test

* prototype test

* prototype test

* prototype test

* prototype test

* Update builtin_dataset_mocks.py

* Update stanford_cars.py

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

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

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

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

* formatting and cleaning

* formatting and cleaning

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

* generate catefories script

* generate categories script added

* sigh

* sigh

* sigh

* minor changes

* linting
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* fix documentation version problems

* add missing import

* linting

* Measuring execution times of models.

* Speed up models by avoiding re-estimation of eager output

* Fixing linter

* Reduce input size for big models

* Speed up jit check method.

* Add simple jitscript fallback check for flaky models.

* Restore pytest filtering

* Fixing linter