* 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

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* debugf

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* git

* git

* git

* use config small/base/large

* debug

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* git

* debug

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* debug

* debug

* debug args

* debug

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* git

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* git

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* git

* debug

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* git

* fix pre-commit error

* fix error

* git

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* fix unittest error

* fix config errors

* fix twins2mmseg bug

* git

* git

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* 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>

* [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

* 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>

* First Commit

* fix typos

* fix typos

* Fix assertion bug

* Adding Assert

* Adding Unittest

* Fixing typo

* Uploading models & logs

* Fixing unittest error

* changing README.md

* changing README.md

* [Enhancement] Change readme style and prepare for metafiles update.

* Update apcnet github repo url.

* add code snippet.

* split code snippet & official repo.

* update md2yml hook.

* Update metafiles.

* Add converted from attribute.

* process conflict.

* Put defualt variable value.

* update bisenet v2 metafile.

* checkout to ubuntu environment.

* pop empty attribute & make task attribute list.

* update readme style

* update readme style

* update metafiles

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

* BiSeNetV2 first commit

* BiSeNetV2 unittest

* remove pytest

* add pytest module

* fix ConvModule input name

* fix pytest error

* fix unittest

* refactor

* BiSeNetV2 Refactory

* fix docstrings and add some small changes

* use_sigmoid=False

* fix potential bugs about upsampling

* Use ConvModule instead

* Use ConvModule instead

* fix typos

* fix typos

* fix typos

* discard nn.conv2d

* discard nn.conv2d

* discard nn.conv2d

* delete **kwargs

* uploading markdown and model

* final commit

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* BiSeNetV2 adding Unittest for its modules

* Fix README conflict

* Fix unittest problem

* Fix unittest problem

* BiSeNetV2

* Fixing fps

* Fixing typpos

* bisenetv2

* support coco stuff-10k/164k

* update docs

* fix docs

* update docs

* fix import lints

* Update docs/dataset_prepare.md

* Update docs/dataset_prepare.md

* Update tools/convert_datasets/coco_stuff164k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update tools/convert_datasets/coco_stuff10k.py

* Update coco_stuff.py

fix the description of the dataset

* Update dataset_prepare.md

fix the doc tree of coco stuff 10k

* Update coco_stuff10k.py

fix img_dir

* Update coco_stuff.py

fix descriptions

* Update coco_stuff164k.py

fix out_dir

* Update coco_stuff10k.py

fix save file name

* Update coco_stuff.py

fix seg_map_suffix

* Update dataset_prepare.md

fix -p

* Update dataset_prepare.md

fix doc tree

* modify coco stuff convertor

* Remove redundant code

* fix 164k convert bug

* remove redundant comment

* add deeplabv3 configs and more iterations

* replace shutil.move with shtil.copyfile

* Update deeplabv3_r50-d8_512x512_4x4_80k_coco_stuff10k.py

fix wrong config

* Update deeplabv3_r101-d8_512x512_4x4_80k_coco_stuff164k.py

fix wrong config

* fix wrong configs

* fix wrong configs

* fix wrong path for coco stuff 10k

* fix convert bugs

* fix seg_filename bug

* when nproc=0, use track progress

* rename configs: coco_stuff --> coco-stuff

* add coco-stuff 10k and 164k to README.md

* update configs

* add deeplabv3 benchmark

* add pspnet benchmark

* remove redundant comma

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

* Improve docs style

* update lists

* update the size of image

* modify duplicate mmdet3d

* add isa module

* use more readable names, add more comments and exp results

* add unittests

* remove redundant docstring

* Apply suggestions from code review

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

* fix unittest

* Update configs

* add results

* update yml

* Update README

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: xiexinch <xinchen.xie@qq.com>

* Modify default work dir when training.

* Refactor gather_models.py.

* Add train and test matching list.

* Regression benchmark list.

* lower readme name to upper readme name.

* Add url check tool and model inference test tool.

* Modify tool name.

* Support duplicate mode of log json url check.

* Add regression benchmark evaluation automatic tool.

* Add train script generator.

* Only Support script running.

* Add evaluation results gather.

* Add exec Authority.

* Automatically make checkpoint root folder.

* Modify gather results save path.

* Coarse-grained train results gather tool.

* Complete benchmark train script.

* Make some little modifications.

* Fix checkpoint urls.

* Fix unet checkpoint urls.

* Fix fast scnn & fcn checkpoint url.

* Fix fast scnn checkpoint urls.

* Fix fast scnn url.

* Add differential results calculation.

* Add differential results of regression benchmark train results.

* Add an extra argument to select model.

* Update nonlocal_net & hrnet checkpoint url.

* Fix checkpoint url of hrnet and Fix some tta evaluation results and modify gather models tool.

* Modify fast scnn checkpoint url.

* Resolve new comments.

* Fix url check status code bug.

* Resolve some comments.

* Modify train scripts generator.

* Modify work_dir of regression benchmark results.

* model gather tool modification.

* add DPT head

* [fix] fix init error

* use mmcv function

* delete code

* remove transpose clas

* support NLC output shape

* Delete post_process_layer.py

* add unittest and docstring

* rename variables

* fix project error and add unittest

* match dpt weights

* add configs

* fix vit pos_embed bug and dpt feature fusion bug

* match vit output

* fix gelu

* minor change

* update unitest

* fix configs error

* inference test

* remove auxilary

* use local pretrain

* update training results

* update yml

* update fps and memory test

* update doc

* update readme

* add yml

* update doc

* remove with_cp

* update config

* update docstring

* remove dpt-l

* add init_cfg and modify readme.md

* Update dpt_vit-b16.py

* zh-n README

* use constructor instead of build function

* prevent tensor being modified by ConvModule

* fix unittest

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

* rewrite init function

* support dark_zurich test

* reset image size

* add night

* add train_pipeline

* init function parameters

* remove base dataset config

* remove fcn config

* update doc

* add datasets to README

* update doc

* fix table of PSPNet config

* fix table of PSPNet config

* change 'model' tp 'evaluation checkpoint'

* fix typos in README_zh-CN

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

* delete convert function and add instruction to README.md

* unified model convert and README

* remove url

* fix import error

* fix unittest

* rename pretrain

* rename vit and deit pretrain

* Update upernet_deit-b16_512x512_160k_ade20k.py

* Update upernet_deit-b16_512x512_80k_ade20k.py

* Update upernet_deit-b16_ln_mln_512x512_160k_ade20k.py

* Update upernet_deit-b16_mln_512x512_160k_ade20k.py

* Update upernet_deit-s16_512x512_160k_ade20k.py

* Update upernet_deit-s16_512x512_80k_ade20k.py

* Update upernet_deit-s16_ln_mln_512x512_160k_ade20k.py

* Update upernet_deit-s16_mln_512x512_160k_ade20k.py

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

* Support progressive test with fewer memory cost.

* Temp code

* Using processor to refactor evaluation workflow.

* refactor eval hook.

* Fix process bar.

* Fix middle save argument.

* Modify some variable name of dataset evaluate api.

* Modify some viriable name of eval hook.

* Fix some priority bugs of eval hook.

* Depreciated efficient_test.

* Fix training progress blocked by eval hook.

* Depreciated old test api.

* Fix test api error.

* Modify outer api.

* Build a sampler test api.

* TODO: Refactor format_results.

* Modify variable names.

* Fix num_classes bug.

* Fix sampler index bug.

* Fix grammaly bug.

* Support batch sampler.

* More readable test api.

* Remove some command arg and fix eval hook bug.

* Support format-only arg.

* Modify format_results of datasets.

* Modify tool which use test apis.

* support cityscapes eval

* fixed cityscapes

* 1. Add comments for batch_sampler;

2. Keep eval hook api same and add deprecated warning;

3. Add doc string for dataset.pre_eval;

* Add efficient_test doc string.

* Modify test tool to compat old version.

* Modify eval hook to compat with old version.

* Modify test api to compat old version api.

* Sampler explanation.

* update warning

* Modify deploy_test.py

* compatible with old output, add efficient test back

* clear logic of exclusive

* Warning about efficient_test.

* Modify format_results save folder.

* Fix bugs of format_results.

* Modify deploy_test.py.

* Update doc

* Fix deploy test bugs.

* Fix custom dataset unit tests.

* Fix dataset unit tests.

* Fix eval hook unit tests.

* Fix some imcompatible.

* Add pre_eval argument for eval hooks.

* Update eval hook doc string.

* Make pre_eval false in default.

* Add unit tests for dataset format_results.

* Fix some comments and bc-breaking bug.

* Fix pre_eval set cfg field.

* Remove redundant codes.

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

* init scripts

* update markdown

* update markdown

* add docs

* delete mit converter and use torch load function

* rename segformer readme

* update doc

* modify doc

* 更新中文文档

* Update useful_tools.md

* Update useful_tools.md

* modify doc

* update segformer.yml

* [Feature]Segformer re-implementation

* Using act_cfg and norm_cfg to control activation and normalization

* Split this PR into several little PRs

* Fix lint error

* Remove SegFormerHead

* [Feature] Add segformer decode head and related train config

* Add ade20K trainval support for segformer

1. Add related train and val configs;

2. Add AlignedResize;

* Set arg: find_unused_parameters = True

* parameters init refactor

* 1. Refactor segformer backbone parameters init;

2. Remove rebundant functions and unit tests;

* Remove rebundant codes

* Replace Linear Layer to 1X1 Conv

* Use nn.ModuleList to refactor segformer head.

* Remove local to_xtuple

* 1. Remove rebundant codes;

2. Modify module name;

* Refactor the backbone of segformer using mmcv.cnn.bricks.transformer.py

* Fix some code logic bugs.

* Add mit_convert.py to match pretrain keys of segformer.

* Resolve some comments.

* 1. Add some assert to ensure right params;

2. Support flexible peconv position;

* Add pe_index assert and fix unit test.

* 1. Add doc string for MixVisionTransformer;

2. Add some unit tests for MixVisionTransformer;

* Use hw_shape to pass shape of feature map.

* 1. Fix doc string of MixVisionTransformer;

2. Simplify MixFFN;

3. Modify H, W to hw_shape;

* Add more unit tests.

* Add doc string for shape convertion functions.

* Add some unit tests to improve code coverage.

* Fix Segformer backbone pretrain weights match bug.

* Modify configs of segformer.

* resolve the shape convertion functions doc string.

* Add pad_to_patch_size arg.

* Support progressive test with fewer memory cost.

* Modify default value of pad_to_patch_size arg.

* Temp code

* Using processor to refactor evaluation workflow.

* refactor eval hook.

* Fix process bar.

* Fix middle save argument.

* Modify some variable name of dataset evaluate api.

* Modify some viriable name of eval hook.

* Fix some priority bugs of eval hook.

* Fix some bugs about model loading and eval hook.

* Add ade20k 640x640 dataset.

* Fix related segformer configs.

* Depreciated efficient_test.

* Fix training progress blocked by eval hook.

* Depreciated old test api.

* Modify error patch size.

* Fix pretrain of mit_b0

* Fix the test api error.

* Modify dataset base config.

* Fix test api error.

* Modify outer api.

* Build a sampler test api.

* TODO: Refactor format_results.

* Modify variable names.

* Fix num_classes bug.

* Fix sampler index bug.

* Fix grammaly bug.

* Add part of benchmark results.

* Support batch sampler.

* More readable test api.

* Remove some command arg and fix eval hook bug.

* Support format-only arg.

* Modify format_results of datasets.

* Modify tool which use test apis.

* Update readme.

* Update readme of segformer.

* Updata readme of segformer.

* Update segformer readme and fix segformer mit_b4.

* Update readme of segformer.

* Clean AlignedResize related config.

* Clean code from pr #709

* Clean code from pr #709

* Add 512x512 segformer_mit-b5.

* Fix lint.

* Fix some segformer head bugs.

* Add segformer unit tests.

* Replace AlignedResize to ResizeToMultiple.

* Modify readme of segformer.

* Fix bug of ResizeToMultiple.

* Add ResizeToMultiple unit tests.

* Resolve conflict.

* Simplify the implementation of ResizeToMultiple.

* Update test results.

* Fix multi-scale test error when resize_ratio=1.75 and input size=640x640.

* Update segformer results.

* Update Segformer results.

* Fix some url bugs and pipelines bug.

* Move ckpt convertion to tools.

* Add segformer official pretrain weights usage.

* Clean redundant codes.

* Remove redundant codes.

* Unfied format.

* Add description for segformer converter.

* Update workers.