GitLab

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

* Move FCN methods to itsown package.

* Fix lint.

* Move LRASPP methods to their own package.

* Move DeepLabV3 methods to their own package.

* Adding deprecation warning for torchvision.models.segmentation.segmentation.

* Refactoring deeplab.

* Setting aux default to false.

* Fixing imports.

* Passing backbones instead of backbone names to builders.

* Fixing mypy

* Addressing review comments.

* Correcting typing.

* Restoring special handling for references.

* Use FX feature extractor for segm model

* Removed use_fe option

* add ufmt as code formatter

* cleanup

* quote ufmt requirement

* split imports into more groups

* regenerate circleci config

* fix CI

* clarify local testing utils section

* use ufmt pre-commit hook

* split relative imports into local category

* Revert "split relative imports into local category"

This reverts commit f2e224cde2008c56c9347c1f69746d39065cdd51.

* pin black and usort dependencies

* fix local test utils detection

* fix ufmt rev

* add reference utils to local category

* fix usort config

* remove custom categories sorting

* Run pre-commit without fixing flake8

* got a double import in merge
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* style: Added typing annotations to segmentation/_utils

* style: Added typing annotations to segmentation/segmentation

* style: Added typing annotations to remaining segmentation models

* style: Fixed typing of DeepLab

* style: Fixed typing

* fix: Fixed typing annotations & default values

* Fixing python_type_check

* Converting private parameters to public.

* Add kwargs to handle extra params.

* Add another kwargs.

* Add arguments in _mobilenet_extractor.

Disable pretrained backbone downloading if pretrained is True
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Document undodcumented parameters

* remove setup.cfg changes

* Properly pass normalize down instead of deprecating it

* Fix flake8

* Add new CI check

* Fix type spec

* Leave normalize be part of kwargs
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Making _segm_resnet() generic and reusable.

* Adding fcn and deeplabv3 directly on mobilenetv3 backbone.

* Adding tests for segmentation models.

* Rename is_strided with _is_cn.

* Add dilation support on MobileNetV3 for Segmentation.

* Add Lite R-ASPP with MobileNetV3 backbone.

* Add pretrained model weights.

* Removing model fcn_mobilenet_v3_large.

* Adding docs and imports.

* Fixing typo and readme.

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

Co-authored-by: vfdev <vfdev.5@gmail.com>

At the moment in the ASPP-Layer the number of output channels are predefined as a constant,
which is good for DeepLab but not necessairly in other projects, where another out-channel Nr. is required.

Also the number of "atrous rates" is fixed to three, which also could be sometimes more or less depending on the notwork-arch.
Again these fixed values may make sense in DeepLab-Model but not necessarily in other type of models.

This pull-req. contains the needed changes to make ASPP-Layer generic.

* script_fcn_resnet

* Make old models load

* DeepLabV3 also got torchscript-ready

This PR uses a protected method for loading and initializing the segmentation models. Relevant #875

Also adds documentation for the segmentation models

* Move segmentation models to its own folder

* Add missing files