GitLab

* Remove APIs that were deprecated before 0.8

* More stuff

* Some more

* oops

* Improve giou loss

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

* Graduate ConvNeXt to main TorchVision area.

* Linter and all var.

* Renaming var and making named params mandatory.

* Refactor model builder

* Add 3 more convnext variants.

* Adding weights for convnext_small.

* Fix minor bug.

* Fix number of parameters for small model.

* Adding weights for the base variant.

* Adding weights for the large variant.

* Simplify LayerNorm2d implementation.

* Optimize speed of CNBlock.

* Repackage weights.

* Start stuff

* Start adding some implementation

* Add implementation

* Use torch for colorwheel

* Add simple test

* Fix small numpy rename

* Adapt the changes

* Fix stuff

* Add suggestions

* Minor fixes for float

* Remove idx logic

* Simplify

* Fix test

* Update code and add test

* Add expected flow asset

* Fix expected flow path

* Doc nits
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* add fcos

* update fcos

* add giou_loss

* add BoxLinearCoder for FCOS

* add full code for FCOS

* add giou loss

* add fcos

* add __all__

* Fixing lint

* Fixing lint in giou_loss.py

* Add typing annotation to fcos

* Add trained checkpoints

* Use partial to replace lambda

* Minor fixes to docstrings

* Apply ufmt format

* Fixing docstrings

* Fixing jit scripting

* Minor fixes to docstrings

* Fixing jit scripting

* Ignore mypy in fcos

* Fixing trained checkpoints

* Fixing unit-test of jit script

* Fixing docstrings

* Add test/expect/ModelTester.test_fcos_resnet50_fpn_expect.pkl

* Fixing test_detection_model_trainable_backbone_layers

* Update test_fcos_resnet50_fpn_expect.pkl

* rename stride to box size

* remove TODO and fix some typo

* merge some code for better

* impove the comments

* remove decode and encode of BoxLinearCoder

* remove some unnecessary hints

* use the default value in detectron2.

* update doc

* Add unittest for BoxLinearCoder

* Add types in FCOS

* Add docstring for BoxLinearCoder

* Minor fix for the docstring

* update doc

* Update fcos_resnet50_fpn_coco pretained weights url

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

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

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

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

* Add FCOS model documentation

* Fix typo in FCOS documentation

* Add fcos to the prototype builder

* Capitalize COCO_V1

* Fix params of fcos

* fix bug for partial

* Fixing docs indentation

* Fixing docs format in giou_loss

* Adopt Reference for GIoU Loss

* Rename giou_loss to generalized_box_iou_loss

* remove overwrite_eps

* Update AP test values

* Minor fixes for the docs

* Minor fixes for the docs

* Update torchvision/models/detection/fcos.py
Co-authored-by: Zhiqiang Wang <zhiqwang@foxmail.com>

* Update torchvision/prototype/models/detection/fcos.py
Co-authored-by: Zhiqiang Wang <zhiqwang@foxmail.com>
Co-authored-by: zhiqiang <zhiqwang@foxmail.com>
Co-authored-by: Joao Gomes <jdsgomes@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Joao Gomes <joaopsgomes@gmail.com>

* Adding CNBlock and skeleton architecture

* Completed implementation.

* Adding model in prototypes.

* Add test and minor refactor for JIT.

* Fix mypy.

* Fixing naming conventions.

* Fixing tests.

* Fix stochastic depth percentages.

* Adding stochastic depth to tiny variant.

* Minor refactoring and adding comments.

* Adding weights.

* Update default weights.

* Fix transforms issue

* Move convnext to prototype.

* linter fix

* fix docs

* Addressing code review comments.

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 31fadbee7d1a65cd73ae43dfd4ac6e97e7ca7b01.

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 4e3d900f796c1e3e667312087e77956ca4a4c017.

* Add RenderedSST2 dataset

* Address PR comments

* Fix bug in dataset verification
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* adding vit_h_14

* prototype and docs

* bug fix

* adding curl check

* [WIP]
*added stanford_cars

* [WIP]
added stanfordCars to docs

* [WIP]
minor edits

* [WIP]
minor edits

* edited StanfordCars class

* Adding Testcase for stanford cars

* Added Testcase for stanford cars

* Added Testcase for stanford cars

* minor edit

* made changes as per the suggestions

* fixed typo in naming stanford_cars.py

* cars_meta.mat file will be created in test

* Some cleanups

* Sigh

* don't convert to strings
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* feat: Added EuroSAT dataset

* test: Added unittest

* docs: Improved comments

* docs: Updated the documentation

* docs: Removed unnecessary comments

* fix: Fixed class implementation

* test: Fixed unittest

* fix: Fixed magic method len

* test: Fixed unittest

* refactor: Refactored EuroSAT

* refactor: Applied modifications

* Apply suggestions from code review

* refactor: Applied request changes

* refactor: Made var explicit

* fix: Fixed attribute initialization order

* refactor: Removed name mapping
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Add support for PCAM dataset

* mypy

* Apply suggestions from code review
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Remove classes and class_to_idx attributes

* Use _decompress
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add fvgc_aircraft dataset

* add docstring & remove useless import

* resolve lint issue

* address comments

* adding more annotation level

* nit

* address comments

* Apply suggestions from code review

* unify format

* remove useless line
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add regnet_y_128gf

* fix test

* add expected test file

* update regnet factory function, add to prototype as well

* write torchscript to temp file instead bytesio in model test

* docs

* clear GPU memory

* no_grad

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

* Add Flowers102 datasets

* Fix initialization of images and labels

* Fix _check_exists in Flowers102

* Add Flowers102 to datasets and docs

* Add Flowers102TestCase to unittest

* Fixing Python type statically

* Shuffle the fake labels

* Update test/test_datasets.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Apply the suggestions by pmeier

* Use check_integrity to check file existence

* Save the labels to base_folder

* Minor fixes

* Using a loop makes this more concise without reducing readability
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Using a loop makes this more concise without reducing readability
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Remove self.labels and self.label_to_index attributes

* minor simplification

* Check the exitence of image folder

* Revert the check

* Check the existence of image folder

* valid -> val

* keep some stuff private

* minor doc arrangements

* remove default FEATURE_TYPES

* Simplify the datasets existence

* check if the image folder exists
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* isdir -> is_dir
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* graduate vit from prototype

* nit

* add vit to docs and hubconf

* ufmt

* re-correct ufmt

* again

* fix linter

* Add Country211 dataset

To addresses issue #5108.

* Add Country211 dataset

To addresses issue #5108.

* Update country211.py

* Update country211.py

* Code review reflected

Reflect code review

* Update test_datasets.py

* Update with review

Update with review

* inherit from ImageFolder

* Update test/test_datasets.py

* Docstring + minor test update
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* dataset class added

* fix code format

* fixed requested changes

* fixed issues in sun397

* Update torchvision/datasets/sun397.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add prototype dataset for oxford-iiit-pet

* add old-style dataset

* add tests

* fix mypy

* fix test

* remove properties and use pathlib

* target_type to target_types

* move target annotation

* add docstring

* fix test

* Added GTSRB dataset

* Added unittest for GTSRB dataset

* Apply suggestions from code review

* More changes from code review

* readd accidental removed line
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add prototype dataset

* add old style dataset

* Apply suggestions from code review
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* refactor integrity check
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* add DTD as prototype dataset

* add old style dataset

* add test for old dataset

* fix tests for windows

* add dataset to docs

* remove properties and use pathlib

* Apply suggestions from code review
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

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

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 31fadbee7d1a65cd73ae43dfd4ac6e97e7ca7b01.

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 4e3d900f796c1e3e667312087e77956ca4a4c017.

* Add Food101 Dataset

Addresses #5108.
cc @pmeier @NicolasHug

* Remove unecessary Path contructor calls

* Remove unecessary Path contructor callsi and fix types

* Fix tests

* Address PR comments from @pmeier

* Fix bug in tests and in food101 dataset

* Fix bug in tests and in food101 dataset

* Update torchvision/datasets/food101.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

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

* fix

* Outline Keypoints API

* Add utility

* make it work :)

* Fix optional type

* Add connectivity, fmassa's advice 😃



* Minor code improvement

* small fix

* fix implementation

* Add tests

* Fix tests

* Update colors

* Fix bug and test more robustly

* Add a comment, merge stuff

* Fix fmt

* Support single str for merging

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

* Clean up unnecessary quant builders and add quant weights for 0.5

* Fixing mypy.

* Fix TORCH_HOME environment variable in docs

* Update docs with torch.hub

Updated the reference for loading a model to `torch.hub`.
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

Fix for https://github.com/pytorch/vision/issues/4832

The unauthenticated git protocol on port 9418 is no longer supported.
Please see https://github.blog/2021-09-01-improving-git-protocol-security-github/ for more information.

* Expose misc ops at package level

* Adding documentation to the ops exposed