* 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.

* init script

* update scripts and generate new yml

* fix lint: deeplabv3plus.yml

* modify resolution representation

* remove  field

* format crop_size

* fix patch_embed and pos_embed mismatch error

* add docstring

* update unittest

* use downsampled image shape

* use tuple

* remove unused parameters and add doc

* fix init weights function

* revise docstring

* Update vit.py

If -> Whether

* fix lint

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

* readme_link_fix

* readme_link_fix

* readme_link_fix

* Fix UNet FCN Download link [#415]

* Fix UNet FCN Download link [#415]

* Fix DMNet Download link [#548]

* Fix DMNet Download link [#548]

* [Refactor] Match paddle seg weight

* Match inference

* fix exp setting

* delete comment and rename config files

* replace hard code with config parameters

* fix ppm concat order

* remove hardcode

* update result

* fix typo

* complement docstring

* complement FutureFusionModule docstring

* modify log link

* add Swin Transformer

* add Swin Transformer

* fixed import

* Add some swin training settings.

* Fix some filename error.

* Fix attribute name: pretrain -> pretrained

* Upload mmcls implementation of swin transformer.

* Refactor Swin Transformer to follow mmcls style.

* Refactor init_weigths of swin_transformer.py

* Fix lint

* Match inference precision

* Add some comments

* Add swin_convert to load official style ckpt

* Remove arg: auto_pad

* 1. Complete comments for each block;

2. Correct weight convert function;

3. Fix the pad of Patch Merging;

* Clean function args.

* Fix vit unit test.

* 1. Add swin transformer unit tests;

2. Fix some pad bug;

3. Modify config to adapt new swin implementation;

* Modify config arg

* Update readme.md of swin

* Fix config arg error and Add some swin benchmark msg.

* Add MeM and ms test content for readme.md of swin transformer.

* Fix doc string of swin module

* 1. Register swin transformer to model list;

2. Modify pth url which keep meta attribute;

* Update swin.py

* Merge config settings.

* Modify config style.

* Update README.md

Add ViT link

* Modify main readme.md

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
Co-authored-by: sennnnn <201730271412@mail.scut.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* add config

* add cityscapes config

* add default value to docstring

* fix lint

* add deit-s and deit-b

* add readme

* add eps at norm_cfg

* add drop_path_rate experiment

* add deit case at init_weight

* add upernet result

* update result and add upernet 160k config

* update upernet result and fix settings

* Update iters number

* update result and delete some configs

* fix import error

* fix drop_path_rate

* update result and restore config

* update benchmark result

* remove cityscapes exp

* remove neck

* neck exp

* add more configs

* fix init error

* fix ffn setting

* update result

* update results

* update result

* update results and fill table

* delete or rename configs

* fix link delimiter

* rename configs and fix link

* rename neck to mln

* update metafiles

* update metafiles

* Adjust vision transformer backbone architectures;

* Add DropPath, trunc_normal_ for VisionTransformer implementation;

* Add class token buring intermediate period and remove it during final period;

* Fix some parameters loss bug;

* * Store intermediate token features and impose no processes on them;

* Remove class token and reshape entire token feature from NLC to NCHW;

* Fix some doc error

* Add a arg for VisionTransformer backbone to control if input class token into transformer;

* Add stochastic depth decay rule for DropPath;

* * Fix output bug when input_cls_token=False;

* Add related unit test;

* Re-implement of SETR

* Add two head -- SETRUPHead (Naive, PUP) & SETRMLAHead (MLA);

* * Modify some docs of heads of SETR;

* Add MLA auxiliary head of SETR;

* * Modify some arg of setr heads;

* Add unit test for setr heads;

* * Add 768x768 cityscapes dataset config;

* Add Backbone: SETR -- Backbone: MLA, PUP, Naive;

* Add SETR cityscapes training & testing config;

* * Fix the low code coverage of unit test about heads of setr;

* Remove some rebundant error capture;

* * Add pascal context dataset & ade20k dataset config;

* Modify auxiliary head relative config;

* Modify folder structure.

* add setr

* modify vit

* Fix the test_cfg arg position;

* Fix some learning schedule bug;

* optimize setr code

* Add arg: final_reshape to control if converting output feature information from NLC to NCHW;

* Fix the default value of final_reshape;

* Modify arg: final_reshape to arg: out_shape;

* Fix some unit test bug;

* Add MLA neck;

* Modify setr configs to add MLA neck;

* Modify MLA decode head to remove rebundant structure;

* Remove some rebundant files.

* * Fix the code style bug;

* Remove some rebundant files;

* Modify some unit tests of SETR;

* Ignoring CityscapesCoarseDataset and MapillaryDataset.

* Fix the activation function loss bug;

* Fix the img_size bug of SETR_PUP_ADE20K

* * Fix the lint bug of transformers.py;

* Add mla neck unit test;

* Convert vit of setr out shape from NLC to NCHW.

* * Modify Resize action of data pipeline;

* Fix deit related bug;

* Set find_unused_parameters=False for pascal context dataset;

* Remove arg: find_unused_parameters which is False by default.

* Error auxiliary head of PUP deit

* Remove the minimal restrict of slide inference.

* Modify doc string of Resize

* Seperate this part of code to a new PR #544

* * Remove some rebundant codes;

* Modify unit tests of SETR heads;

* Fix the tuple in_channels of mla_deit.

* Modify code style

* Move detailed definition of auxiliary head into model config dict;

* Add some setr config for default cityscapes.py;

* Fix the doc string of SETR head;

* Modify implementation of SETR Heads

* Remove setr aux head and use fcn head to replace it;

* Remove arg: img_size and remove last interpolate op of heads;

* Rename arg: conv3x3_conv1x1 to kernel_size of SETRUPHead;

* non-square input support for setr heads

* Modify config argument for above commits

* Remove norm_layer argument of SETRMLAHead

* Add mla_align_corners for MLAModule interpolate

* [Refactor]Refactor of SETRMLAHead

* Modify Head implementation;

* Modify Head unit test;

* Modify related config file;

* [Refactor]MLA Neck

* Fix config bug

* [Refactor]SETR Naive Head and SETR PUP Head

* [Fix]Fix the lack of arg: act_cfg and arg: norm_cfg

* Fix config error

* Refactor of SETR MLA, Naive, PUP heads.

* Modify some attribute name of SETR Heads.

* Modify setr configs to adapt new vit code.

* Fix trunc_normal_ bug

* Parameters init adjustment.

* Remove redundant doc string of SETRUPHead

* Fix pretrained bug

* [Fix] Fix vit init bug

* Add some vit unit tests

* Modify module import

* Remove norm from PatchEmbed

* Fix pretrain weights bug

* Modify pretrained judge

* Fix some gradient backward bugs.

* Add some unit tests to improve code cov

* Fix init_weights of setr up head

* Add DropPath in FFN

* Finish benchmark of SETR

1. Add benchmark information into README.MD of SETR;

2. Fix some name bugs of vit;

* Remove DropPath implementation and use DropPath from mmcv.

* Modify out_indices arg

* Fix out_indices bug.

* Remove cityscapes base dataset config.

Co-authored-by: sennnnn <201730271412@mail.scut.edu.cn>
Co-authored-by: CuttlefishXuan <zhaoxinxuan1997@gmail.com>

* dice loss

* format code, add docstring and calculate denominator without valid_mask

* minor change

* restore

* add metafile

* add manifest.in and add config at setup.py

* add requirements

* modify manifest

* modify manifest

* Update MANIFEST.in

* add metafile

* add metadata

* fix typo

* Update metafile.yml

* Update metafile.yml

* minor change

* Update metafile.yml

* add subfix

* fix mmshow

* add more  metafile

* add config to model_zoo

* fix bug

* Update mminstall.txt

* [fix] Add models

* [Fix] Add collections

* [fix] Modify collection name

* [Fix] Set datasets to unet metafile

* [Fix] Modify collection names

* complement inference time

Fix "the output num_classes of auxiliary head is not same as num_classes of ground truth seg_map". (#488)

* Fix "the output num_classes of auxiliary head is not match num_classes of ground truth seg_map".

* Fix spelling mistake;

* Modify "model download link", "log link";

* Add some publish information

* Fix some readme omission.

* fixed fp16

* update fps

* Add support for Pascal Context 59 classes (#459)

* Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py;

* Set reduce_zero_label=True for train_pipeline and PascalContextDataset59;

* Add some configs for Pascal-Context 59 classes training and testing;

* Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";

* Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";

* ignore files and folders named tempxxx;

* Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";

* Modify the calculation of IoU;

* Modify the CLASSES order of PascalContextDataset;

* Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59;

Add some ignore items in ".gitignore";

* fix the bug "test_cfg specified in both outer field and model field " of pspnet config file;

* * Clean unnecessary codes;

* Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md

* Add command line argument: "-p | --port", this arg can change the transmit port when you transmit data to distributed machine.

* * Remove rebundant config files;

* Remove "-p|--port" command argument;

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

* Support fcn dilate 6

* Support dilate in FCNHead

* configs for cityscapse dataset

* add configs for pytorch pretrained model

* update README

* add fps test results

* add memory test results and links

* modify log names

* Update mmseg/models/decode_heads/fcn_head.py

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

* [Bug fix] Fixed ADE20k test

* fixed ade cfg

* [Improvement] Move train_cfg/test_cfg inside model

* fixed config dict

* fixed config dict

* Add UNet as backbone and FCN PSPNet DeepLabV3 as decode_head benchmark on 4 retinal vessel segmentation datasets

* adjust README of UNet

* add more configs

* add more configs

* fixed backbone type

* fixed deeplabv3+ channels

* add r101

* update link

* change resnet18 link

* update aug test

* add inf time

* add mem

* delete markdownlint

* Support MobileNetV3

* fix import

* add mobilenetv3 head and configs

* Modify MobileNetV3 to semantic segmentation version

* modify mobilenetv3 configs

* add std configs

* fix Conv2dAdaptivePadding bug

* add configs

* add unitest and fix bugs

* fix lraspp unitest bugs

* restore

* fix unitest

* add MobileNetV3 docstring

* add mmcv

* add mmcv

* fix syntax bug

* fix unitest bug

* fix unitest bug

* fix unitest bugs

* fix docstring

* add configs

* restore

* delete unnecessary assert

* modify unitest

* delete benchmark