* [Fix] Fix system dependencies in CI

* del pt1.5

* add gpg keys

* add pt1.5

* [Fix]: Fix lint

* [WIP]: Add mae seg config

* [Feature]: Add MAE seg

* [Fix]: Fix mae dataset img scale bug

* [Fix]: Fix lint

* [Feature]: Change mae config to mae_segmentation's config

* [Feature]: Add interpolate pe when loading

* [Fix]: Fix pos_embed not used bug

* [Fix]: Fix lint

* [Fix]: Init rel pos embed with zeros

* [Fix]: Fix lint

* [Fix]: Change the type name of backbone to MAE

* [Fix]: Delete ade20k_512x512.py

* [Fix]: Use mmseg provided ade20k.py

* [Fix]: Change 1 sample per gpu to 2 samples per gpu

* [Fix]: Fix conflict

* [Refactor]: Use the TransformerEncoderLayer of  BEiT

* [Feature]: Add UT

* [Fix]: Change the default value of qv bias to False

* [Fix]: Initialize relative pos table with zeros

* [Fix]: Delete redundant code in mae

* [Fix]: Fix lint

* [Fix]: Rename qkv_bias to qv_bias

* [Fix]: Add docstring to weight_init of MAEAttention

* [Refactor]: Delete qv_bias param

* [Fix]: Add reference to fix_init_weight

* [Fix]: Fix lint

* [Fix]: Delete extra crop size

* [Refactor]: Rename mae

* [Fix]: Set bias to True

* [Fix]: Delete redundant params

* [Fix]: Fix lint

* [Fix]: Fix UT

* [Fix]: Add resize abs pos embed

* [Fix]: Fix UT

* [Refactor]: Use build layer

* [Fix]: Add licsense and fix docstring

* [Fix]: Fix docstring

* [Feature]: Add README metafile

* [Fix]: Change 640 to 512

* [Fix]: Fix README

* fix readme of MAE

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

* [Fix]: Fix lint

* [WIP]: Add mae seg config

* [Feature]: Add MAE seg

* [Fix]: Fix mae dataset img scale bug

* [Fix]: Fix lint

* [Feature]: Change mae config to mae_segmentation's config

* [Feature]: Add interpolate pe when loading

* [Fix]: Fix pos_embed not used bug

* [Fix]: Fix lint

* [Fix]: Init rel pos embed with zeros

* [Fix]: Fix lint

* [Fix]: Change the type name of backbone to MAE

* [Fix]: Delete ade20k_512x512.py

* [Fix]: Use mmseg provided ade20k.py

* [Fix]: Change 1 sample per gpu to 2 samples per gpu

* [Fix]: Fix conflict

* [Refactor]: Use the TransformerEncoderLayer of  BEiT

* [Feature]: Add UT

* [Fix]: Change the default value of qv bias to False

* [Fix]: Initialize relative pos table with zeros

* [Fix]: Delete redundant code in mae

* [Fix]: Fix lint

* [Fix]: Rename qkv_bias to qv_bias

* [Fix]: Add docstring to weight_init of MAEAttention

* [Refactor]: Delete qv_bias param

* [Fix]: Add reference to fix_init_weight

* [Fix]: Fix lint

* [Fix]: Delete extra crop size

* [Refactor]: Rename mae

* [Fix]: Set bias to True

* [Fix]: Delete redundant params

* [Fix]: Fix lint

* [Fix]: Fix UT

* [Fix]: Add resize abs pos embed

* [Fix]: Fix UT

* [Refactor]: Use build layer

* [Fix]: Add licsense and fix docstring

* [Fix]: Fix docstring

* [Feature]: Add README metafile

* [Fix]: Change 640 to 512

* [Fix]: Fix README

* fix readme of MAE

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

* [Refactor] Add build_pos_embed and build_layers for BEiT

* Update mmseg/models/backbones/beit.py

* move layer_decay_optimizer_constructor

* fix

* fix

* merge test_core

* fix

* add DeprecationWarning

* fix DeprecationWarning

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix test

* fix

* fix

* fix

* fix

* fix ut

* fix

* fix

* Update tests/test_core/test_layer_decay_optimizer_constructor.py

* fix

* fix

* fix

* fix

Co-authored-by: MeowZheng <meowzheng@outlook.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* [Refactor] Refactor transfomer encoder layer

* fix ffn cfg

* fix drop path cfg

* private init func

* fix qv bias

* fix qkv bias

* fix qkv bias

* wH->Wh

* [fix] cfg dir in colab

* Update demo/MMSegmentation_Tutorial.ipynb

We are going to use a new blob account to store the checkpoints.

* fixed a couple of issues that made the notebook not work in colab

i fixed a couple of issues that made the notebook not work in colab 
1. it downloaded incompatible versions of pytorch and cuda + the conda command doesnt do anything in colab since there is no conda in colab idk w y wanna do about that - The commit of 2 days ago only changes the conda command version and not the pip command which is used while isntaling mcvv
2. /demo.png doesnt exist in colab so i added a wget to download some cityscapes photo from the internet and run inference on that photo
3. i think it would be optimal to have 2 notebooks. 1 for running locally when cloning your git branch and one to run in google colab.

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

* Update demo/MMSegmentation_Tutorial.ipynb

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* [WIP]Update checkpoint for model in deeplabv3plus

* add aug test

* url fix

* [Enhancement] MMCV maximum_version set to 1.6

* [Enhancement] MMCV maximum_version set to 1.6

* [fix] register optimizer onstructor with mmseg

* fix lint

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* Update tests/test_core/test_optimizer.py

* Update tests/test_core/test_optimizer.py

* Update tests/test_core/test_optimizer.py

* Update tests/test_core/test_optimizer.py

* fix lint

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* [Fix] Fix the bug that binary cross entropy loss doesn't support single channel input

* imcrease coverage

* modify implementation

* increase coverage

* add assert

* modify implementation

* enshollow condition judge

* fix

* [Fix] Input previous results for the latter cascade_decode_head

* minors

* [Enhance] Add extra dataloader settings in configs

* val default samples

* val default samples

* del unuse

* del unused

* Avoid converting label ids twice by label map during evaluation

* Update mmseg/datasets/custom.py

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* lint

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
Co-authored-by: MeowZheng <meowzheng@outlook.com>

* [fix] fix image save path bug in Windows

* fix lint error

* fix bug about label_map

* Update mmseg/datasets/pipelines/loading.py

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

* lint

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: MeowZheng <meowzheng@outlook.com>

* update pytorch and cudatoolkit versions for colab

Previous version was throwing an error after calling for mmseg.apis import (line 147) due to incompatible cudatoolkit version in colab.

* Update description about versions used

* Add DistSamplerSeedHook for when runner is EpochBasedRunner

* add comment

* fix_analyze_logs

* fix comments

* fix comments

* [Feature] Provide URLs of Swin Transformer pretrained models

* [Feature] Add multi machine `dist_train`. (#1383)

* Add training startup documentation

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* delete pretrained=None in all six config files

* [Fix] make arguments effective in tools/confusion_matrix.py (#1401)

* 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>

* colab notebook: fix outdated link for doc (#1392)

* colab notebook: fix outdated link for doc

Fixed outdated link for how to customize your datasets by reorganizing data.

* fix lint

* fix typo (#1405)

* [Fix] Fix windows-style path in `md2yml.py` in Windows pre-commit.  (#1407)

* test

* avoid windows path

* [Fix] fix the config name style description (#1414)

Co-authored-by: FangjianLin <93248678+linfangjian01@users.noreply.github.com>
Co-authored-by: Cody Wong <mob5566@gmail.com>
Co-authored-by: Nemo Xiong <xiongnemo@126.com>
Co-authored-by: Xiangxu-0103 <xuxiang0103@gmail.com>
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>

* [Feature] Support Resnet strikes back

* fix url

* [Feature] Add multi machine `dist_train`. (#1383)

* Add training startup documentation

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* modify R-50b rsb

Co-authored-by: FangjianLin <93248678+linfangjian01@users.noreply.github.com>

Updating Dockerfiles From Docker Directory and get_started.md to Reach Last Stable Version of Python, PyTorch and MMCV (#1446)

* Update Dockerfile

Compatible with the latest version of MMCV and PyTorch for compatibility with Python3.10

* Update Dockerfile for serve

Compatible with the latest version of MMCV and PyTorch for compatibility with Python3.10

* Updating to the last version of supported Python

* Update Dockerfile

* Update get_started.md

* Update docs/zh_cn/get_started.md

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>

* Fix small typo in documentation title

* Fix typo in documentation title (zh_cn version)

* add with cp to mit and vit

* add test unit

Co-authored-by: jiangyitong <jiangyitong1@sensetime.com>

* [Enhancement] Add .owners.yml to mark daily issue shift

* add chenlin

* Bump version to v0.23.0

* new contributor

* rephrase

* tyoi

* typo

* get_started

* typo

* rephrase

* rephrase

* rephrase

* [Fix] Add avg_non_ignore in cross entropy loss

* [Fix] Add avg_non_ignore in cross entropy loss

* add docstring

* fix ut

* fix docstring and comments

* fix

* fix bce

* fix avg_factor in BCE and add more ut

* add avg_non_ignore

* add more ut

* fix part of ut

* fix part of ut

* test avg_non_ignore would not affect ce/bce when reduction none/sum

* test avg_non_ignore would not affect ce/bce when reduction none/sum/mean

* re-organize ut

* re-organize ut

* re-organize ut

* re-organize hardcode case

* fix parts of comments

* fix another parts of comments

* fix

* [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

* [Feature] Support file_client in dataset initialization

* docstring

* revise osp.exist

* support random seed for distributed sampler

* move mmseg/utils/dist_util.py to mmseg/core/utils/dist_util.py

* move mmseg/utils/dist_util.py to mmseg/core/utils/dist_util.py

* change dist sampler

* change dist sampler

* fix docstring in sync_random_seed