* 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

* Update train.py

Add user-defined hooks.

* Update train.py

* Update train.py

* [Fix] Fix the broken link

* [Fix] Fix the broken link

* 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>

* [Docs] Fix the broken link

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

* remove python-dev in CI

* remove pycocotools installation

* remove python 3.9-dev installation dependencies

* Uploading FastFCN on ADE20K

* fixing lint error

* add codespell pre-commit hook and fix typos

* Update mmseg/models/decode_heads/dpt_head.py

* Update mmseg/models/backbones/vit.py

* Update mmseg/models/backbones/vit.py

* fix typos

* skip formating typo

* deprecate formating

* skip ipynb

* unstage ipynb changes

* unstage ipynb changes

* fix typos in ipynb

* unstage ipynb changes

* test_torchserver1.1

* test_torchserver1.2

* update

* update mmseg_handler.py

* update docs

* update torchserver

* tranfer torchserver to torchserve

* update docs

* updata torchserve support

* [Fix] #916 expection string type classes

* add unittests for string path classes

* fix double quote string in test_dataset.py

* move the import to the top of the file

* fix isort lint error

fix isort lint error when move the import to the top of the file

* bump to v0.18.0

* replace \ with /

* replace the unavailable pspnet model download address with the updated address

* replace the unavailable pspnet model download address with the updated address

* FastFCN first commit

* FastFCN first commit

* Fixing lint error

* Fixing lint error

* use for loop on JPU

* Use For Loop

* Refactor FastFCN

* FastFCN

* FastFCN

* temp

* Uploading models & logs (4x4)

* Fixing typos

* fix typos

* rename config

* change README.md

* use _delete_=True

* change configs

* change start_level to 0

* change start_level to 0

* jpu

* add unittest for start_level!=0

* add icnet backbone

* add icnet head

* add icnet configs

* nclass -> num_classes

* Support ICNet

* ICNet

* ICNet

* Add ICNeck

* Add ICNeck

* Add ICNeck

* Add ICNeck

* Adding unittest

* Uploading models & logs

* Uploading models & logs

* add comment

* smaller test_swin.py

* try to delete test_swin.py

* delete test_unet.py

* delete test_unet.py

* temp

* smaller test_unet.py

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

* [Improvement] Refactor Swin-Transformer

* fixed swin test

* update patch emebd, add more tests

* fixed test

* remove pretrain_style

* fixed padding

* resolve coments

* use mmcv 2tuple

* refactor init_cfg

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