* add codespell pre-commit hook and fix typos

* Update mmseg/models/decode_heads/dpt_head.py

* Update mmseg/models/backbones/vit.py

* Update mmseg/models/backbones/vit.py

* fix typos

* skip formating typo

* deprecate formating

* skip ipynb

* unstage ipynb changes

* unstage ipynb changes

* fix typos in ipynb

* unstage ipynb changes

* [Fix] #916 expection string type classes

* add unittests for string path classes

* fix double quote string in test_dataset.py

* move the import to the top of the file

* fix isort lint error

fix isort lint error when move the import to the top of the file

* 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>

* support load gt for evaluation from multi-backend

* move some code from get_gt_seg_maps to get_one_gt_seg_map

* rename gt_seg_map_loader_conf to gt_seg_map_loader_cfg

* fix doc str

* rename get_one_gt_seg_map to get_gt_seg_map_by_idx

* [Feature] Add tool to show origin or augmented train data

* [Feature] Support eval concate dataset

* Add docstring and modify evaluate of concate dataset

Signed-off-by: FreyWang <wangwxyz@qq.com>

* format concat dataset in subfolder of imgfile_prefix

Signed-off-by: FreyWang <wangwxyz@qq.com>

* add unittest of concate dataset

Signed-off-by: FreyWang <wangwxyz@qq.com>

* update unittest for eval dataset with CLASSES is None

Signed-off-by: FreyWang <wangwxyz@qq.com>

* [FIX] bug of generator,  which lead metric to nan when pre_eval=False

Signed-off-by: FreyWang <wangwxyz@qq.com>

* format code

Signed-off-by: FreyWang <wangwxyz@qq.com>

* add more unittest

* add more unittest

* optim concat dataset builder

* fix docstring link

* fix docstring link

* fix docstring link

* fix docstring link

* fix docstring link

* fix docstring link

* 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>

* rewrite init function

* init function parameters

* 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>

* Add header for files

* Delete header in config files

* [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.

* update digit_version

* add unittest

* fix import

* Bump to v0.15.0

* fixed version

* 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>

* [Feature] Add results2img, format_results for ade dataset.

* clean rebundant code.

* add mFscore and refactor the metrics return value

* fix linting

* some docstring and name fix

* 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>

* 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>

* Include each class metrics in logs

* format

* fix the unitest

* fix the custom int class_name

* fix the custom int class_name

* memory efficient test

* implement efficient test

* merge

* Add document and docstring

* fix unit test

* add memory usage report

* fix tta bug

* modify as suggested

* fix test_tta bug

* Support resize data augmentation according to original image size (img_scale=None and retio_range is tuple)

* fix docstring

* fix bug

* add unittest

* img_scale=None in TTA

* fix bug

* add unittest

* fix typos

* fix bug

* add CLAHE transform

* fix syntax error

* fix syntax error

* restore

* add a test

* modify cv2 to mmcv

* add docstring

* modify

* restore

* fix mmcv.clahe error

* change mmcv version to 1.3.0

* fix bugs

* add all data transformers to __init__

* fix __init__

* fix test_transform

* add AdjustGamma transform

* restore

* change cv2 to mmcv

* simplify AdjustGamma

* fix syntax error

* modify

* fix syntax error

* change mmcv version to 1.3.0

* fix lut function name error

* fix syntax error

* fix range

* add dice evaluation metric

* add dice evaluation metric

* add dice evaluation metric

* support 2 metrics

* support 2 metrics

* support 2 metrics

* support 2 metrics

* fix docstring

* use np.round once for all

* add rerange transform

* restore

* delete rerange config

* delete rerange config hint

* add min < max assert

* restore

* add transformer Rgb2Gray

* restore

* fix self.weights

* restore

* fix code

* restore

* fix syntax error

* restore

* add RandomRotate for transforms

* change rotation function to mmcv.imrotate

* refactor

* add unittest

* fixed test

* fixed docstring

* fixed test

* add more test

* fixed repr

* rename to prob

* fixed unittest

Co-authored-by: hkzhang95 <GodBlessZhk@outlook.com>

* fix dataset jpg bug

* fix syntax error

* fix filename bug

* define blood vessel dataset

* redo debug

* fix small bug

* rename dataset

Co-authored-by: yamengxi <yamengxi@sensetime.com>

* Fix split

* Update tests/test_data/test_dataset.py

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

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

* Use img_prefix and seg_prefix for loading

* flake8

* Fix split

* 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>