GitLab

* Doc revamp for optical flow models

* Some more

* Classif models

* Detection

* Segmentation

* quantization

* Video

* optical flow

* tests

* Fix docs

* Fix Video dataset

* Consistency for RAFT dataset names

* use ImageNet-1K

* Use COCO-val2017-VOC-labels for segmentation

* formatting

* Replace jcenter for android

* Removing revision 0 from version

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

* Adding docs for quantized models.

* Adding docs for video models.

* Adding docs for segmentation models.

* Adding docs for optical flow models.

* Adding docs for detection models.

* Fix typo.

* Make changes from code-review.

* Cleanup ops

* Address nits
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* try re arranging docs

* rewrite docs a bit

* 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>

* Improving the auto-gen doc.

* Adding details for AlexNet, ConvNext, DenseNet, EfficientNets, GoogLeNet and InceptionV3.

* Fixing location of `_docs`

* Adding docs in the remaining classification models.

* Fix linter

* update paper link for FCOS refence

* remove 'updated version'
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* simplify OnlineResource.load

* [PoC] merge mock data preparation and loading

* Revert "cache mock data based on config"

This reverts commit 5ed6eedef74865e0baa746a375d5ec1f0ab1bde7.

* Revert "[PoC] merge mock data preparation and loading"

This reverts commit d62747962f9ed6a7b0b80849e7c971efabb5d3da.

* remove preprocess returning a new path in favor of querying twice

* address test comments

* clarify comment

* mypy

* use builtin decompress utility

* merge mock data preparation and loading

* address comments

* fix extra file creation

* remove tmp folder

* inline images meta creation in coco mock data

* Update the preprocessing decription for RAFT.

* Fixing incorrect usage of models.

* Fixing the content of viz utils

* Addressing review comments

* docs: Added quantized ResNeXt to new docs

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

* 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>

* Requested here https://github.com/pytorch/vision/pull/5898#discussion_r864765799

.

* Fix tests

* ufmt, not black
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Add weight for mnasnet0_75 and mnasnet1_3

* Fix missing comma

* Add PR url as recipe, and update the metrics

* Add weights to legacy handler

* Update docs to specify there are weights available

* Prefixing `_get_enum_from_fn` with underscore

* Exposing `get_weight` to Torch Hub

* added note

* quantize = True higlighted in the note.

* Keep "Large" in docstring
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Create resnet_quant.rst

* add resnet quant

* refactor docs

* Minor fix

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

* [DOC] Add quantized inception updated documentation.

* Add missing file.

* Apply suggestions from code review

[ENH] Improve doc thanks to various code review comments.
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Adding code examples for image classification + quant

* Adding code example detection

* Adding code example segmentation

* Adding code example for video classification

* Adding information on how to use the new API.

* Putting back the comma.

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

* Remove output to avoid staleness from flakiness.

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

* Adding `__repr__` in presets

* Adds `describe()` methods to all presets.

* Adding transform descriptions in the documentation.

* Change "preprocessing" to "inference"

* Remove old "minimum input size" from docstrings.

* Remove "currently only XYZ weights available"

* Fix description of wide_resnet101_2

* Make display license URLs as links.

* Clarify the order of dims of min_size.

* Remove lengthy keypoint_names from meta-table.

* added quantized mobilenetv2 docs

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

* Reinstate and deprecate `model_urls` and `quant_model_urls`

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

* Move todo location

* Add alexnet

* Add densenet

* Add efficientnet

* Add googlenet.

* Add inception.

* Add mobilenetv3

* Add regnet

* Add resnet

* Add shufflenetv2

* Fix linter

* Add squeezenet

* Add vgg

* Add vit

* Add quantized googlenet

* Add quantized inceptionv3

* Add quantized mobilenet_v3

* Add quantized resnet

* Add quantized shufflenetv2

* Fix incorrect imports

* Add faster_rcnn

* Add fcos

* Add keypoint rcnn

* Add mask rcnn

* Add retinanet

* Add ssd

* Add ssdlite

* Add deeplabv3

* Add fcn

* Add lraspp.

* Add video resnet

* Removing weights for shufflenetv2_x1.5 and shufflenetv2_x2.0

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

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

* rely on patched datasets home rather than passing it around

* add comment

* Clarify TypeError message

* typo

* Wrap tye() in repr()

so that the type-check stfu

* Even better message

incidentally speeds up the thing, since all() possibly checked all elements and we don't.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* POC

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

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

* Fix tests

* ufmt

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

* Adding ciou and diou support in `_box_loss()`

* Fix linter

* Addressing comments for nits