## Motivation

browse_dataset before training

## Modification

create tools/analysis_tools/browse_dataset.py

## Motivation

The registry now supports auto-import modules from the given location.

register_all_modules before running is no longer needed. The modules
will be lazy-imported during building.

- [x] This PR can be merged after
https://github.com/open-mmlab/mmengine/pull/643. The MMEngine version
should be updated.

Ref: https://github.com/open-mmlab/mmdetection/pull/9143

## Motivation 
Add REFUGE datasets
Old PR: https://github.com/open-mmlab/mmsegmentation/pull/2420



---------

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>

## Motivation

Add Synapse dataset in MMSegmentation.
Old PR: https://github.com/open-mmlab/mmsegmentation/pull/2372.

* tta init

* use mmcv transform

* test city

* add multiscale

* fix merge

* add softmax to post process

* add ut

* add tta pipeline to other datasets

* remove softmax

* add encoder_decoder_tta ut

* add encoder_decoder_tta ut

* rename

* rename file

* rename config

* rm aug_test

* move flip to post process

* fix channel

* add pyupgrade hook

* run pyupgrade precommit hook

* [Refactor]Resume do not specify ckpt

* add default false value

* [WIP] Refactor data flow

* model return

* [WIP] Refactor data flow

* support data_samples is optional

* fix benchmark

* fix base

* minors

* rebase

* fix api

* ut

* fix api inference

* comments

* docstring

* docstring

* docstring

* fix bug of slide inference

* add assert c > 1

* [WIP] mmcv-clean

* [WIP]Remove modules from mmcv.runner and mmcv.utils

* wip

* fix import mmengine

* remove ut

* loadcheckpoint in mae

* support custom runner

* fix

* [Fix] Fix repo based on refactory standard

* fix ut

* replace mmcv with mmengine

* remove transforms

* [Feature] Add SegVisualizer

* change name to visualizer_example

* fix typo

* refactor folder structure

* [Fix] Fix register_all_modules and imports

* fix transforms import

* [Enhance] Add extra dataloader settings in configs

* val default samples

* val default samples

* del unuse

* del unused

* [fix] fix image save path bug in Windows

* fix lint error

* fix_analyze_logs

* fix comments

* fix comments

* [Feature] Add BEiT backbone

* fix

* fix

* fix

* fix

* add readme

* fix

* fix

* fix

* fix

* fix

* add link

* fix memory

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix test_beit.py

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* add an argument for customizing `title' of the output figure

* fix `color_theme' arguments not passing to plot function

Signed-off-by: code14 <mob5566@gmail.com>

* Add training startup documentation

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* Update get_flops.py

argparse.ArgumentParser(description='Get the FLOPs of a segmentor')

* Update get_flops.py

* generate and plot confusion matrix

* fix typo

* add usage and examples for confusion matrix

* deal with nan values(pick pr#7147 mmdet)

* fix md format

* Add deprecation message for deploy tool

* deploy test

* support iSAID aerial dataset

* Update and rename docs/dataset_prepare.md to 博士/dataset_prepare.md

* Update dataset_prepare.md

* fix typo

* fix typo

* fix typo

* remove imgviz

* fix wrong order in annotation name

* upload models&logs

* upload models&logs

* add load_annotations

* fix unittest coverage

* fix unittest coverage

* fix correct crop size in config

* fix iSAID unit test

* fix iSAID unit test

* fix typos

* fix wrong crop size in readme

* use smaller figure as test data

* add smaller dataset in test data

* add blank in docs

* use 0 bytes pseudo data

* add footnote and comments for crop size

* change iSAID to isaid and add default value in it

* change iSAID to isaid in _base_

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>