* 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;

* * Add arg: out_indices to control model output;

* Add unit test for DropPath;

* Apply suggestions from code review

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

* support reading class_weight from file in loss function

* add unit test of loss with class_weight from file

* minor fix

* move get_class_weight to utils

* remove dict calling img key for compatibility

* fix unit test

* infer batch size using len(result) to be consistent with mmcv

* [Refactor] Use MMCV MODEL_REGISTRY

* fixed args

* init

* upsample v1.0

* fix errors

* change to in_channels list

* add unittest, docstring, norm/act config and rename

Co-authored-by: xiexinch <test767803@foxmail.com>

* vit backbone

* fix lint

* add docstrings and fix pretrained pos_embed dim not match prob

* add unittest for vit

* fix lint

* add vit based fcn configs

* fix import error

* support multiple resolution input images

* upsample pos_embed at init_weights

* support resize pos_embed at evaluation

* fix training errors

* add more unitest code for vit backbone

* unitest for uncovered code

* add norm_eval unittest

* refactor _pos_embeding

* minor change

* change var name

* rafactor init_weight

* load weights after resize

* ignore 'module' in pretrain checkpoint

* add with_cp

* add with_cp

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

* add dynamic export and visualize to pytorch2onnx

* update document

* fix lint

* fix dynamic error and add visualization

* fix lint

* update docstring

* update doc

* Update help info for --show

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

* fix lint

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

* add more CI

* fix missing

* remove python-version

* fixed acc

* refactor test organization

* fixed se layer

* update mmcv uper bound

Signed-off-by: lizz <lizz@sensetime.com>

* Fix typo: upsampe_cfg -> upsample_cfg

Signed-off-by: lizz <lizz@sensetime.com>

* convoluton -> convolution

Signed-off-by: lizz <lizz@sensetime.com>

* more

Signed-off-by: lizz <lizz@sensetime.com>

* ok

Signed-off-by: lizz <lizz@sensetime.com>

* fix training bugs

* fix unitest error

* fix error in num_classes==2 case

* delete comments

* 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>

* dice loss

* format code, add docstring and calculate denominator without valid_mask

* minor change

* restore

* [Improvement] Move train_cfg/test_cfg inside model

* fixed config dict

* fixed config dict

* add lovasz loss

* Modify as comments

* Modify paper url

* add unittest and remove Var

* impove unittest

* 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

* Support DMNet

* fix doc and delete norm_name

* Support APCNet

* code optimization

* add apcnet configs

* add benchmark

* add readme and model zoo

* fix doc

* [Enhancement] Add args check for ignore_index

* Support ignore_index

* added cgnet

* added testing for cgnet

* git test

* add cgnet

* fix __init__

* rename FGlo with GlobalContextExtractor

* add readme.md and rename bn with norm

* delete cg_head

* fix a language mistake

* rename cgnet_m3n21.py to cgnet.py

* modify README.md

* modify list to tuple

* add fcn_head test

* add assert to fcn_head

* blank

* fix fcn_head assert bug

* add

* add cgnet to README.md and model_zoo.md

* modify cgnet README.md

Co-authored-by: KID <wps_@mail.nankai.edu.cn>

* add unet

* add unet

* add unet

* update test_unet

* update test_unet

* update test_unet

* update test_unet

* fix bugs

* add init method for unet

* add test of UNet init_weights method

* add registry

* merge upsample

* fix test

* Update mmseg/models/backbones/unet.py

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

* Update mmseg/models/backbones/unet.py

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

* split UpConvBlock from UNet

* use reversed

* rename upsample module

* rename upsample module

* rename upsample module

* rename upsample module

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

* [Enhance] Unifed InvertedResidual in MobileNetV2 and FastSCNN

* [Enhance] Unifed InvertedResidual in MobileNetV2 and FastSCNN

* Add D16-MG124 models

* Use MMCV DepthSepConv

* add OHEM

* add warmup

* fixed test

* fixed test

* change to bs 16

* revert config

* add models

* seperate

* Add Pascal Context to mmsegmentation

* Add benchmark result to Pascal Context

* fix mmcv version

* fix code syntax

* fix code syntax again

* Update mmseg/models/segmentors/encoder_decoder.py

update hint

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

* update comment

* fix pascal context model path

* fix model path mistake again

* fix model path mistake again

* fix model path mistakes again

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

* [Feature] Support PointRend

* add previous test

* update modelzoo

* Add DNLHead

* add configs

* add weight decay mult

* add norm back

* Update README.md

* matched inference performance

* Fixed shape

* sep conv_out

* no norm

* add norm back

* complete model zoo

* add tests

* Add test forward

* Add more test

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

* add emanet

* fixed bug and typos

* add emanet config

* fixed padding

* fixed identity

* rename

* rename

* add concat_input

* fallback to update last

* Fixed concat

* update EMANet

* Add tests

* remove self-implement norm

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

* [Feature] Support MobileNetV2 backbone

* Fixed import

* Fixed test

* Fixed test

* Fixed dilate

* upload model

* update table

* update table

* update bibtex

* update MMCV requirement

* add customized Upsample which can convert to ONNX

* support multiply decode head for hrnet

* support size for Upsample

* Add Semantic FPN

* remove HRFPN

* Fix fast_scnn resize problems

* Fix fast_scnn resize problems 1

* Fix fast_scnn resize problems 2

* test for pascal voc

* init commit: fast_scnn

* 247917iters

* 4x8_80k

* configs placed in configs_unify.  4x8_80k exp.running.

* mmseg/utils/collect_env.py modified to support Windows

* study on lr

* bug in configs_unify/***/cityscapes.py fixed.

* lr0.08_100k

* lr_power changed to 1.2

* log_config by_epoch set to False.

* lr1.2

* doc strings added

* add fast_scnn backbone  test

* 80k 0.08,0.12

* add 450k

* fast_scnn test: fix BN bug.

* Add different config files into configs/

* .gitignore recovered.

* configs_unify del

* .gitignore recovered.

* delete sub-optimal config files of fast-scnn

* Code style improved.

* add docstrings to component modules of fast-scnn

* relevant files modified according to Jerry's instructions

* relevant files modified according to Jerry's instructions

* lint problems fixed.

* fast_scnn config extremely simplified.

* InvertedResidual

* fixed padding problems

* add unit test for inverted_residual

* add unit test for inverted_residual: debug 0

* add unit test for inverted_residual: debug 1

* add unit test for inverted_residual: debug 2

* add unit test for inverted_residual: debug 3

* add unit test for sep_fcn_head: debug 0

* add unit test for sep_fcn_head: debug 1

* add unit test for sep_fcn_head: debug 2

* add unit test for sep_fcn_head: debug 3

* add unit test for sep_fcn_head: debug 4

* add unit test for sep_fcn_head: debug 5

* FastSCNN type(dwchannels) changed to tuple.

* t changed to expand_ratio.

* Spaces fixed.

* Update mmseg/models/backbones/fast_scnn.py

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

* Update mmseg/models/decode_heads/sep_fcn_head.py

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

* Update mmseg/models/decode_heads/sep_fcn_head.py

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

* Docstrings fixed.

* Docstrings fixed.

* Inverted Residual kept coherent with mmcl.

* Inverted Residual kept coherent with mmcl. Debug 0

* _make_layer parameters renamed.

* final commit

* Arg scale_factor deleted.

* Expand_ratio docstrings updated.

* final commit

* Readme for Fast-SCNN added.

* model-zoo.md modified.

* fast_scnn README updated.

* Move InvertedResidual module into mmseg/utils.

* test_inverted_residual module corrected.

* test_inverted_residual.py moved.

* encoder_decoder modified to avoid bugs when running PSPNet.
getting_started.md bug fixed.

* Revert "encoder_decoder modified to avoid bugs when running PSPNet. "

This reverts commit dd0aadfb

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

* Support ResNeSt backbone

* fixed avg_down

* add docstring and test

* update table

* update docs and tests

* fixed test

* rename

* refactor splits

* add pytorch2onnx part

* Update according to the latest mmcv

* add docstring

* update docs

* update docs

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

* Generalized OHEM

* remove config

* update docstring

* fixed sort prob

* fixed valid_mask