GitLab

* docs: Added SSDLite to new doc

* docs: Updated docstring

* docs: Fixed docstring

* Apply suggestions from code review
Co-authored-by: FG Fernandez <–26927750+frgfm@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* feat: add functional pad on segmentation mask

* test: add basic correctness test with random masks

* test: add all padding options

* fix: pr comments

* fix: tests

* refactor: reshape tensor in 4d, then pad
Co-authored-by: Federico Pozzi <federico.pozzi@argo.vision>

* added ciou loss

* "formatting with flake8 and ufmt"

* formatting with ufmt and flake8

* minor changes

* changes as per the suggestions

* added reference in torchvision/ops/__init__.py

* sample test

* tests formatted

* added description

* formatting

* edited tests

* changes in tests

* added tests for multiple boxes

* minor edits

* minor edit

* doc added

* minor edits

* Update test_ops.py

* formatting test file

* changes as per the suggestions

* formatting and adding some more tests

* bounding box added

* removed unnecessary comment

* added docstring

* added type annotations

* removed potential bug

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

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

* Update test/test_ops.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Add shufflenetv2 1.5 and 2.0 weights

* Update recipe

* Add to docs

* Use resize_size=232 for eval and update the result

* Add quantized shufflenetv2 large

* Update docs and readme

* Format with ufmt

* Add to hubconf.py

* Update readme for classification reference

* Fix reference classification readme

* Fix typo on readme

* Update reference/classification/readme

* Start adding

* Finish adding docs

* Fix other bugs

* Update torchvision/models/mobilenetv3.py

* Update torchvision/models/mobilenetv3.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* init

* minor change

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

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

* refactor doc

* refactor code

* add fcos.rst

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

* docs: Added MaskRCNN to new doc

* docs: Updated docstring

* ufmt
Co-authored-by: FG Fernandez <–26927750+frgfm@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Add revamped docs for video classification models

* EOL

* docs: Added entry for MobileNet V2 in new doc

* docs: Updated MobileNetV2 docstring

* docs: Fixed docstring
Co-authored-by: FG Fernandez <–26927750+frgfm@users.noreply.github.com>

* add swin transformer

* Update swin_transformer.py

* Update swin_transformer.py

* fix lint

* fix lint

* refactor code

* add swin_transformer

* Update swin_transformer.py

* fix bug

* refactor code

* fix lint

* update init_weights

* move shift_window into attention

* refactor code

* fix bug

* Update swin_transformer.py

* Update swin_transformer.py

* fix lint

* add patch_merge

* fix bug

* Update swin_transformer.py

* Update swin_transformer.py

* Update swin_transformer.py

* refactor code

* Update swin_transformer.py

* refactor code

* fix lint

* refactor code

* add swin_tiny

* add swin_tiny.pkl

* fix lint

* Delete ModelTester.test_swin_tiny_expect.pkl

* add swin_tiny

* add

* add Optional to bias

* update init weights

* update init_weights and add no weight decay

* add no weight decay

* add set_weight_decay

* add set_weight_decay

* fix lint

* fix lint

* add lr_cos_min

* add other swin models

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

* refactor doc

* Update utils.py

* Update train.py

* Update train.py

* Update swin_transformer.py

* update model builder

* fix lint

* add

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

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

* update other model

* simplify the model name just like ViT

* add lr_cos_min

* fix lint

* fix lint

* Update swin_transformer.py

* Update swin_transformer.py

* Update swin_transformer.py

* Delete ModelTester.test_swin_tiny_expect.pkl

* add swin_t

* refactor code

* Update train.py

* add swin_s

* ignore a error of mypy

* Update swin_transformer.py

* fix lint

* add swin_b

* add swin_l

* refactor code

* Update train.py

* move relative_position_bias to __init__

* fix formatting

* Revert "fix formatting"

This reverts commit 41faba232668f7ac4273a0cf632c0d0130c7ce9c.

* Revert "move relative_position_bias to __init__"

This reverts commit f0615440bf18617dc0e5dc4839bd5ed27e5ed010.

* refactor code

* Remove deprecated meta-data from `_COMMON_META`

* fix linter

* add pretrained weights for swin_t

* fix format

* apply ufmt

* add documentation

* update references README

* adding new style docs

* update pre-trained weights values

* remove other variants

* fix typo

* Remove expect for the variants not yet supported
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Joao Gomes <jdsgomes@fb.com>

* Document MobileNetV3 quantization approach

* Change the URL.

* [DOC] Add alexnet new documentation.

* [FIX] Fix wrong alexnet header.

* [FIX] Fix the AlexNet paper link.
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Start doc revamp for detection models

* Minor cleanup

* Use list of tuples for metrics

* Fixed issue with padding on CI

* Disabled failing tests with color_jitter

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

* added dense net docs

* fix models_new.rst

* [proto] Added crop_bounding_box op

* Added `crop_segmentation_mask` op

* Fixed failed mypy

* Added tests for resized_crop_bounding_box

* Fixed code formatting

* Added resized_crop_segmentation_mask op

* Added tests

* initial commit

* formatting

* minor change

* replaced pdf link with webpage link

* replaced pdf link with webpage link

* minor

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

* add convnext.rst

* refactor code

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

* [FEAT] Add efficientnetv2 doc.

* [FIX] Precommits fix.

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

* [DOC] Add new EfficientNet doc.

* [DOC] Add missing file.

* [FIX] Precommits fix.

* [FIX] Precommits fix.

* [ENH] Integrate few documentation comments from code review

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

* [proto] Added crop_bounding_box op

* Added tests for resized_crop_bounding_box

* Fixed code formatting

* Restructuring metrics meta-data for detection, segmentation and optical flow.

* Renaming acc to pixel_acc for segmentation

* Restructure video meta-data.

* Restructure classification and quantization meta-data.

* Fix tests.

* Fix documentation

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

* Added `crop_segmentation_mask` op

* Fixed failed mypy

* Add docs for regnet, still need to update the comment docs on models

* Fix a little typo on .rst file

* Update regnet docstring

* Add vision_transformer docs, and fix typo on regnet docs

* Update docstring to make sure it does not exceed 120 chars per line

* Improve formatting

* Change the new line location for vision_transformer docstring

* Removing `task`, `architecture` and `quantization`

* Fix mypy

* Remove size field

* Remove unused import.

* Fix mypy

* Remove size from schema list.

* update todo

* Simplify with assert

* Adding min_size to all models.

* Update RAFT min size to 128

* Remove publication_year and interpolation meta

* Add type to _COMMON_META and _COMMON_SWAG_META to prevent error from mypy check

* Remove test to check interpolation and publication_year meta
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Convert weights only if `old_key` is in `state_dict`

* Fix linter

* First PR for model doc revamp

* Deactivating fail on warning, temporarily

* Remove commnet

* Minor changes

* Typos

* Added TODO in Makefile

* Keep old models.rst file intact, move new docs into new models_new.rst file

the assert msg should be same
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>