* [Feature] Support Resnet strikes back

* fix url

* [Feature] Add multi machine `dist_train`. (#1383)

* Add training startup documentation

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* modify R-50b rsb

Co-authored-by: FangjianLin <93248678+linfangjian01@users.noreply.github.com>

* [Feature] Add BEiT backbone

* fix

* fix

* fix

* fix

* add readme

* fix

* fix

* fix

* fix

* fix

* add link

* fix memory

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix test_beit.py

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* knet first commit

* fix import error in knet

* remove kernel update head from decoder head

* [Feature] Add kenerl updation for some decoder heads.

* [Feature] Add kenerl updation for some decoder heads.

* directly use forward_feature && modify other 3 decoder heads

* remover kernel_update attr

* delete unnecessary variables in forward function

* delete kernel update function

* delete kernel update function

* delete kernel_generate_head

* add unit test & comments in knet.py

* add copyright to fix lint error

* modify config names of knet

* rename swin-l 640

* upload models&logs and refactor knet_head.py

* modify docstrings and add some ut

* add url, modify docstring and add loss ut

* modify docstrings

* change version to v0.22.0

* change version to v0.22.0

* add mmcls version in get_started.md

* add mmcls installation and move PR1299 into enhancement

* add mmcls installation and move PR1299 into enhancement

* remove MMCLS and make mmcv <=1.5.0 version in get_started.md

* fix typo

* upload original backbone and configs

* ConvNext Refactor

* ConvNext Refactor

* convnext customization refactor with mmseg style

* convnext customization refactor with mmseg style

* add ade20k_640x640.py

* upload files for training

* delete dist_optimizer_hook and remove layer_decay_optimizer_constructor

* check max(out_indices) < num_stages

* add unittest

* fix lint error

* use MMClassification backbone

* fix bugs in base_1k

* add mmcls in requirements/mminstall.txt

* add mmcls in requirements/mminstall.txt

* fix drop_path_rate and layer_scale_init_value

* use logger.info instead of print

* add mmcls in runtime.txt

* fix f string && delete

* add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements

* fix typo in LearningRateDecayOptimizerConstructor

* use ConvNext models in unit test for LearningRateDecayOptimizerConstructor

* add unit test

* fix typo

* fix typo

* add layer_wise and fix redundant backbone.downsample_norm in it

* fix unit test

* give a ground truth lr_scale and weight_decay

* upload models and readme

* delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer()

* fix unit test and use mmcls url

* update md2yml.py and metafile

* fix typo

* change md2yml file

* update metafile

* update twins In Collection automatically

* fix twins metafile

* fix twins metafile

* all metafile use value of Method

* update collect name

* update collect name

* fix some typo

* fix FCN D6

* change JPU to FastFCN

* fix some typos in DNLNet, NonLocalNet, SETR, Segmenter, STDC, FastSCNN

* fix typo in stdc

* fix typo in DNLNet and UNet

* fix NonLocalNet typo

* support iSAID aerial dataset

* Update and rename docs/dataset_prepare.md to 博士/dataset_prepare.md

* Update dataset_prepare.md

* fix typo

* fix typo

* fix typo

* remove imgviz

* fix wrong order in annotation name

* upload models&logs

* upload models&logs

* add load_annotations

* fix unittest coverage

* fix unittest coverage

* fix correct crop size in config

* fix iSAID unit test

* fix iSAID unit test

* fix typos

* fix wrong crop size in readme

* use smaller figure as test data

* add smaller dataset in test data

* add blank in docs

* use 0 bytes pseudo data

* add footnote and comments for crop size

* change iSAID to isaid and add default value in it

* change iSAID to isaid in _base_

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

* [Fix] Fix the bug that setr cannot load pretrain

* delete new pretrain

* segmenter: add model

* update

* readme: update

* config: update

* segmenter: update readme

* segmenter: update

* segmenter: update

* segmenter: update

* configs: set checkpoint path to pretrain folder

* segmenter: modify vit-s/lin, remove data config

* rreadme: update

* configs: transfer from _base_ to segmenter

* configs: add 8x1 suffix

* configs: remove redundant lines

* configs: cleanup

* first attempt

* swipe CI error

* Update mmseg/models/decode_heads/__init__.py

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

* segmenter_linear: use fcn backbone

* segmenter_mask: update

* models: add segmenter vit

* decoders: yapf+remove unused imports

* apply precommit

* segmenter/linear_head: fix

* segmenter/linear_header: fix

* segmenter: fix mask transformer

* fix error

* segmenter/mask_head: use trunc_normal init

* refactor segmenter head

* Fetch upstream (#1)

* [Feature] Change options to cfg-option (#1129)

* [Feature] Change option to cfg-option

* add expire date and fix the docs

* modify docstring

* [Fix] Add <!-- [ABSTRACT] --> in metafile #1127

* [Fix] Fix correct num_classes of HRNet in LoveDA dataset #1136

* Bump to v0.20.1 (#1138)

* bump version 0.20.1

* bump version 0.20.1

* [Fix] revise --option to --options #1140

Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>

* decode_head: switch from linear to fcn

* fix init list formatting

* configs: remove variants, keep only vit-s on ade

* align inference metric of vit-s-mask

* configs: add vit t/b/l

* Update mmseg/models/decode_heads/segmenter_mask_head.py

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* Update mmseg/models/decode_heads/segmenter_mask_head.py

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* Update mmseg/models/decode_heads/segmenter_mask_head.py

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* Update mmseg/models/decode_heads/segmenter_mask_head.py

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* Update mmseg/models/decode_heads/segmenter_mask_head.py

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* model_converters: use torch instead of einops

* setup: remove einops

* segmenter_mask: fix missing imports

* add necessary imported init funtion

* segmenter/seg-l: set resolution to 640

* segmenter/seg-l: fix test size

* fix vitjax2mmseg

* add README and unittest

* fix unittest

* add docstring

* refactor config and add pretrained link

* fix typo

* add paper name in readme

* change segmenter config names

* fix typo in readme

* fix typos in readme

* fix segmenter typo

* fix segmenter typo

* delete redundant comma in config files

* delete redundant comma in config files

* fix convert script

* update lateset master version

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* fix README.md in configs

* fix README.md in configs

* modify [ALGORITHM] to [BACKBONE] in backbone config README.md

* Add Vaihingen

* upload models&logs of vaihingen

* fix unit test

* fix dataset pipeline

* fix unit test coverage

* fix vaihingen docstring

* add isprs potsdam dataset

* add isprs dataset configs

* fix lint error

* fix potsdam conversion bug

* fix error in potsdam class

* fix error in potsdam class

* add vaihingen dataset

* add vaihingen dataset

* add vaihingen dataset

* fix some description errors.

* fix some description errors.

* fix some description errors.

* upload models & logs of Potsdam

* remove vaihingen and add unit test

* add chinese readme

* add pseudodataset

* use mmcv and add class_names

* use f-string

* add new dataset unittest

* add docstring and remove global variables args

* fix metafile error in PSPNet

* fix pretrained value

* Add dataset info

* fix typo

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

* fix stdc1 download link

* fix stdc1 download link

* upload models and new configs

* fix hrf readme error

* fix hrf readme error

* add mDice of old models

* refactor configs

* add segformer cityscapes' benchmark

* Update configs/segformer/README.md

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

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

* refactor stdc code

* update key

* fix backbone inference

* remove comments

* fixing errors

* fixing version conflict

* fux typo

* use STDCHead

* upload models&logs

* adding model converters script and fix unittest

* fix error

* fix error

* fix error

* delete redundant keys in config

* fix errors in configs and unittest

* fix errors in configs and unittest

* fix errors in configs and unittest

* change Memory name

* refactor stdc2mmseg

* change name to STDC

* refactor stdc

* refactor stdc

* stdc refactor

* stdc refactor

* stdc refactor

* stdc refactor

* stdc refactor

* stdc refactor

* refactor stdc

* stdc refactor

Co-authored-by: xiexinch <xinchen.xie@qq.com>

* 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

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* debug

* debugf

* debug

* debug

* debug

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* debug

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* git

* git

* git

* use config small/base/large

* debug

* debug

* git

* debug

* git

* debug

* debug

* debug args

* debug

* debug

* git

* git

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

* git

* git

* debug

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* git

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* git

* fix pre-commit error

* fix error

* git

* git

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* fix unittest error

* fix config errors

* fix twins2mmseg bug

* git

* git

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* 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>

* [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>

* 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

* add abstract and main figure

* add abstract and main figure

* 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

* Uploading FastFCN on ADE20K

* fixing lint error

* 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