Commit Graph

18 Commits (70477d21adfb4caaf2e35c8e6d88b9ee740486d6)

Author SHA1 Message Date
MengzhangLI 70477d21ad
[NEW][Feature]Support SegNeXt(NeurIPS'2022) in master branch (#2600)
## Motivation

Support SegNeXt.

Due to many commits & changed files caused by WIP too long (perhaps it
could be resolved by `git merge` or `git rebase`).

This PR is created only for backup of old PR
https://github.com/open-mmlab/mmsegmentation/pull/2247

Co-authored-by: MeowZheng <meowzheng@outlook.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
2023-02-24 16:08:27 +08:00
MengzhangLI 2e28db0dcb
[Feature] Support K-Net (#1289)
* 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
2022-03-10 20:05:37 +08:00
rstrudel cb1bf9f372
[Feature] Support Segmenter (#955)
* 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>
2022-01-26 13:50:51 +08:00
MengzhangLI 5783bc1d99
[Feature] Support STDC Network (new) (#995)
* 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>
2021-12-10 23:09:32 +08:00
Layne eb0baee414
[Feature] Support ISA module (#70)
* 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>
2021-09-08 21:13:53 -07:00
谢昕辰 2825efe378
[Feature] add DPT head (#605)
* 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>
2021-08-30 16:53:05 +08:00
Junjun2016 441be4e435
[Dcos] Add header for files (#796)
* Add header for files

* Delete header in config files
2021-08-16 23:16:55 -07:00
sennnnn bcafcdd2aa
[Feature] Add segformer decode head and related train config (#599)
* [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.
2021-08-13 13:31:19 +08:00
Sixiao Zheng ec91893931
[Feature] Official implementation of SETR (#531)
* 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>
2021-06-23 09:39:29 -07:00
yamengxi 7fdb4002fa
[New model] Support MobileNetV3 (#268)
* 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
2020-12-26 00:02:50 -08:00
Junjun2016 94e12e8d21
Support DMNet (#313)
* Support DMNet

* fix doc and delete norm_name
2020-12-23 22:16:34 -08:00
Junjun2016 e3f6f655d6
Support APCNet (#299)
* Support APCNet

* code optimization

* add apcnet configs

* add benchmark

* add readme and model zoo

* fix doc
2020-12-17 23:23:45 -08:00
Jerry Jiarui XU ff98229a3d
[Feature] Support PointRend (#109)
* [Feature] Support PointRend

* add previous test

* update modelzoo
2020-09-07 19:59:44 +08:00
Han Hu 8ff866d60c
Add "disentangled non-local (DNL) neural networks" [ECCV2020] (#37)
* 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>
2020-09-07 16:22:00 +08:00
Xia Li 李夏 dbca8b44a9
[Feature] Support EMANet (#34)
* 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>
2020-09-07 13:06:59 +08:00
Jerry Jiarui XU b8f42c70fa
Add Semantic FPN (#94)
* Add Semantic FPN

* remove HRFPN
2020-09-03 19:56:36 +08:00
John Zhu c1f46a69f4
Fast-SCNN implemented (#58)
* 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>
2020-08-18 23:33:05 +08:00
Jiarui XU b2724da80b init commit 2020-07-10 02:39:01 +08:00