* debug

* debug

* debug

* this is a debug step, and needs to be recovered

* need recover

* git

* debug

* git

* git

* git

* git

* git

* git

* debug need recover

* debug

* git

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debugf

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* git

* git

* git

* use config small/base/large

* debug

* debug

* git

* debug

* git

* debug

* debug

* debug args

* debug

* debug

* git

* git

* debug

* git

* git

* git

* git

* git

* debug

* debug

* git

* debug

* git

* debug

* debug

* debug

* debug

* git

* debug

* git

* git

* debug

* debug

* git

* git

* git

* git

* debug

* debug

* debug

* debug

* git

* debug

* debug

* git

* git

* debug

* debug

* git

* debug

* debug

* debug

* git

* debug

* debug

* debug

* Please enter the commit message for your changes. Lines starting

* git

* git

* debug

* debug

* debug

* git

* git

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* git

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* git

* fix pre-commit error

* fix error

* git

* git

* git

* git

* git

* git

* debug

* debug

* debug

* debug

* debug

* debug

* git

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* git

* git

* git

* debug

* debug

* debug

* git

* git

* git

* git

* git

* git

* git

* git

* git

* debug

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* fix unittest error

* fix config errors

* fix twins2mmseg bug

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* git

* fix init_weights() in twins.py

* git

* git

* git

* git

* fix comment

* fix comment

* fix comment

* fix comment

* fix unit test coverage in TwinsPR

* Add Twins README

* Add Twins README

* twins refactor

* twins refactor

* delete init_cfg in FFN

* delete init_cfg in FFN

* Update mmseg/models/backbones/twins.py

* Update mmseg/models/backbones/twins.py

* Update mmseg/models/backbones/twins.py

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Update mmseg/models/backbones/twins.py

* add conference name

Co-authored-by: linxinyang <linxinyang@meituan.com>
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* fix symlink failure on Windows

* fix develop mode on windows

* [Fix] Fix the bug that mit cannot process init_cfg

* fix error

* First commit for video demo

* fix lint

* update

* fix

* add wget in shell

* [Fix] Remove the inplace operation in  uper_head

* remove the inplace operation in fpn neck

* fix conflict

* increase the coverage

* [#1034] fix dist training infinite waiting issue

* print log_vars keys in assertion msg

* linting issue

* fix mmhuman3d readme

* fix mmhuman3d readme

* Fix test error when using --show-dir

* Move show before test

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>

* fix wrong trunc_normal_init usage

* fix mit init weights

* fix vit init weights

* fix mit init weights

* fix typo

* fix swin init weights

* [Feature] add setr cityscapes benchmark

* change pretrain

* Update configs/_base_/datasets/cityscapes_768x768.py

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* remove redundant keys

* remove redundant keys

* fix lint error

* update readme

* update pretrain

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* [Feature] add focal loss

* fix the bug of 'non' reduction type

* refine the implementation

* add class_weight and ignore_index; support different alpha values for different classes

* fixed some bugs

* fix bugs

* add comments

* modify test

* Update mmseg/models/losses/focal_loss.py

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* update test_focal_loss.py

* modified the implementation

* Update mmseg/models/losses/focal_loss.py

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* update focal_loss.py

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* first commit

* Fixing Unittest Error

* first refactory of ERFNet

* Refactorying NonBottleneck1d Module

* uploading models&logs

* uploading models&logs

* fix partial bugs & typos

* ERFNet

* add ERFNet with FCNHead

* fix typos of ERFNet

* add name on README.md cover

* chane name to T-ITS'2017

* fix lint error

* Fix typo in usage example

* [Feature] Add CutOut transform

* CutOut repr covered by unittests

* Cutout ignore index, test

* ignore_index -> seg_fill_in, defualt is None

* seg_fill_in is added to repr

* test is modified for seg_fill_in is None

* seg_fill_in (int), 0-255

* add seg_fill_in test

* doc string for seg_fill_in

* rename CutOut to RandomCutOut, add prob

* Add unittest when cutout is False

* add abstract and main figure

* add abstract and main figure

* uploading circle-ci

* uploading circle-ci

* uploading circle-ci

* correct circleci folder

* change mmsegmentation to mmseg in config.yml

* adding timm package in circleci

* adding timm package in circleci

* fix original lint error

* Skip CI on ignoring given paths

Signed-off-by: del-zhenwu <dele.zhenwu@gmail.com>

* Fix ignoring path with using

Signed-off-by: del-zhenwu <dele.zhenwu@gmail.com>

Fix error in the chinese get_started file

完成的安装脚本 ==> 完整的安装脚本

* fix dataset display on readme

* delete pytorch1.3.1

* change PyTorch 1.5.1 to 1.5or1.5.0

* change PyTorch 1.5.1 to 1.5.0

* change PyTorch 1.5.1 to 1.5.0

* fix cu102

* update LoveDA dataset api

* revised lint errors in dataset_prepare.md

* revised lint errors in loveda.py

* revised lint errors in loveda.py

* revised lint errors in dataset_prepare.md

* revised lint errors in dataset_prepare.md

* checked with isort and yapf

* checked with isort and yapf

* checked with isort and yapf

* Revert "checked with isort and yapf"

This reverts commit 686a51d9

* Revert "checked with isort and yapf"

This reverts commit b877e121bb2935ceefc503c09675019489829feb.

* Revert "revised lint errors in dataset_prepare.md"

This reverts commit 2289e27c

* Revert "checked with isort and yapf"

This reverts commit 159db2f8

* Revert "checked with isort and yapf"

This reverts commit 159db2f8

* add configs & fix bugs

* update new branch

* upload models&logs and add format-only

* change pretraied model path of HRNet

* fix the errors in dataset_prepare.md

* fix the errors in dataset_prepare.md and configs in loveda.py

* change the description in docs_zh-CN/dataset_prepare.md

* use init_cfg

* fix test converage

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* adding pseudo loveda dataset

* Update docs/dataset_prepare.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Update docs_zh-CN/dataset_prepare.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Update docs_zh-CN/dataset_prepare.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Delete unused lines of unittest and Add docs

* add convert .py file

* add downloading links from zenodo

* move place of LoveDA and Cityscapes in doc

* move place of LoveDA and Cityscapes in doc

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* bisenetv1 on cocostuff164k

* change config_names & delete redundant keys

* pretrain should before lr.

* remove redundancy in bisenetv1_r50-d32

* remove fp16 folder

* remove fp16 in docs

* fix some typos

* fix some typos

* fix fp16 in yml

* [Fix] Fix the bug that vit cannot load pretrain properly when using init_cfg to specify the pretrain scheme

* [Fix] fix the coverage problem

* Update mmseg/models/backbones/vit.py

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* [Fix] make the predicate more concise and clearer

* [Fix] Modified the judgement logic

* Update tests/test_models/test_backbones/test_vit.py

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* add comments

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* change version to v0.19.0

* update changelog

* add TIMMBackbone and unittests

* add timm to tests requirements

* deprecate pt1.3.1

* reduce the unittests input of timm backbone

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* fix ci

* remove unittests of large models of timm backbone

* generate coverage report for all unittests env

* reduce the unittests input of timm backbone

* reduce the unittests input of timm backbone

* fix single loss type

* fix error in ohem & point_head

* fix coverage miss

* fix uncoverage error of PointHead loss

* fix coverage miss

* fix uncoverage error of PointHead loss

* nn.modules.container.ModuleList to nn.ModuleList

* more simple format

* merge unittest def