* [Feature] Support MaskFormer(NeurIPS'2021) in MMSeg 1.x

* add mmdet try except logic

* refactor config files

* add readme

* fix config

* update models & logs

* add MMDET installation and fix info

* fix comments

* fix

* fix config norm optimizer setting

* update models & logs & unittest

* add docstring of MaskFormerHead

* wait for mmdet 3.0.0rc4

* replace seg_mask with seg_logits & add docstring for batch_input_shape

* use mmdet3.0.0rc4

* fix readme and modify config comments

* add mmdet installation in pr_stage_test.yml

* update mmcv version in pr_stage_test.yml

* add mmdet in build_cpu of pr_stage_test.yml

* modify mmdet& mmcv installation in merge_stage_test.yml

* fix typo

* update test.yml

* update test.yml

* [Enchancement] Delete mmcls in runtime.txt in dev-1.x

* fix mmcv minimal version

* wip

* [Doc] Migration

* [wip] add package changes

* remove zoo stat

* add dataset migration

* add package changes

* revise based on comments

* revise based on comments

* typo

* fix

* add engine requirements

* revise mmcv dependency

* [WIP] Add BioMedical data loading

* add depends nibabel

* fix bug

* fix ut

* fix

* add test data

* xyz2zyx zyx2xyz

* format

* remove ignore empty

* remove ignore empty

* remove with seg in LoadBiomedicalAnnotation

* float32

* docstring

* toxyz

* docstring

* [Doc] MMSeg 1.x Documentation

* revise index

* [Fix] Fix repo based on refactory standard

* fix ut

* [Enhancement] MMCV maximum_version set to 1.6

* [Enhancement] MMCV maximum_version set to 1.6

* upload original backbone and configs

* ConvNext Refactor

* ConvNext Refactor

* convnext customization refactor with mmseg style

* convnext customization refactor with mmseg style

* add ade20k_640x640.py

* upload files for training

* delete dist_optimizer_hook and remove layer_decay_optimizer_constructor

* check max(out_indices) < num_stages

* add unittest

* fix lint error

* use MMClassification backbone

* fix bugs in base_1k

* add mmcls in requirements/mminstall.txt

* add mmcls in requirements/mminstall.txt

* fix drop_path_rate and layer_scale_init_value

* use logger.info instead of print

* add mmcls in runtime.txt

* fix f string && delete

* add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements

* fix typo in LearningRateDecayOptimizerConstructor

* use ConvNext models in unit test for LearningRateDecayOptimizerConstructor

* add unit test

* fix typo

* fix typo

* add layer_wise and fix redundant backbone.downsample_norm in it

* fix unit test

* give a ground truth lr_scale and weight_decay

* upload models and readme

* delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer()

* fix unit test and use mmcls url

* update md2yml.py and metafile

* fix typo

* [Enhancement] Add win-ci

* add timm in win unittest

* remove mmflow with mmseg in win unittest

* remove opencv-python in requirements

* add opencv2 back

* move opencv installation into build.yml

* Improve docs style

* update lists

* update the size of image

* modify duplicate mmdet3d

* update digit_version

* add unittest

* fix import

* [Doc] Fixed doc api display

* add missing pretty table

* dice loss

* format code, add docstring and calculate denominator without valid_mask

* minor change

* restore

* add metafile

* add manifest.in and add config at setup.py

* add requirements

* modify manifest

* modify manifest

* Update MANIFEST.in

* add metafile

* add metadata

* fix typo

* Update metafile.yml

* Update metafile.yml

* minor change

* Update metafile.yml

* add subfix

* fix mmshow

* add more  metafile

* add config to model_zoo

* fix bug

* Update mminstall.txt

* [fix] Add models

* [Fix] Add collections

* [fix] Modify collection name

* [Fix] Set datasets to unet metafile

* [Fix] Modify collection names

* complement inference time

* add mFscore and refactor the metrics return value

* fix linting

* some docstring and name fix

* 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 pypi deployment

* remove useless jobs

* fixed typo and cleanup

* delete build.tx

* add change log

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

* add test tutorial

* remote torch/torchvision from requirements

* update getting started

* rename drop_out_ratio -> dropout_ratio

* add badge

* Created using Colaboratory

* add read docs

* Fixed readthedocs

* fixed colab ref

* add readthedocs.txt

* add link

* fixed modelzoo link

* add missing reference

* fixed docs

* remove relative path in docs

* add colab in README.md

* update docker image

* add newline

* fixed br