* 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;

* mmcv eval hook

* mmcv evalhook compatible

* add warnings

* inherit from base class

* fix unitest

* adapt to mmcv 1.3.1

* fixed unittest

* set by_epoch=False

* fixed efficient test

* update docstring

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

* add mFscore and refactor the metrics return value

* fix linting

* some docstring and name fix

* 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

* 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>

* Fix fence(IoU) = 0 when training on PascalContextDataset59;

* Add a test case in test_metrics() of tests/test_metrics.py to test the bug caused by torch.histc;

* Update tests/test_metrics.py

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

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

* refactor test organization

* fixed se layer

* update mmcv uper bound

* 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

* pytorch metrics impl and test

* support list[str] input, delete unused test code and delete numpy version

* modify input data type

* add docstring and unitest of filename inputs

* add indents in docstring and use tempfile lib to create dir

* using with statement

* 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

* fix tta bug

* modify as suggested

* fix test_tta bug

* 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

* 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 inference test

* fix E501 line too long (81 > 79 characters

* fix wrong config path

* fix num of augmentations (2) != num of image meta (1)

* Update test_inference.py

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

* 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

* [Enhancement] Add args check for ignore_index

* Support ignore_index

* 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>

* 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 runner_type option

* pre-commit

* Fix max_iters

* Add by_epoch to EvalHook

* Add test_eval_hook for epoch runner

* Remove runner-type arg from tools/train

* Add missing every_n_iters check for epoch mode

* Bump mmcv min version

* Use build_runner

* Use interval in tests

* Update test_eval_hook.py

* Use every_n_epochs instead of every_n_iters. Update DistEvalHook

* Add test_dist_eval_hook_epoch

* Fix tests

* Add DeprecationWarning

* Update docs

* Replace DeprecationWarning with UserWarning

* 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>

* 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>

* [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

* fix acc and iou compute nan problem

* fix acc and iou compute nan problem

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* Update mmseg/core/evaluation/mean_iou.py

* Update mean_iou.py

* Update mean_iou.py

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

* Support for custom classes

* Fix test

* Fix pre-commit

* Add pipeline logic for custom classes

* Fix minor issues, fix test

* Fix issues from PR review

* Fix tests

* Remove palette as str

* Rename old_to_new_ids to label_map

* Test for load_anns

* Remove get_palette function

* fixed temp

* Add subset of palette, remove palette as arg

* minor update

Co-authored-by: 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>