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* colab notebook: fix outdated link for doc (#1392)

* colab notebook: fix outdated link for doc

Fixed outdated link for how to customize your datasets by reorganizing data.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

* [Docs] add faq document

* Update docs/en/faq.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* Update docs/zh_cn/faq.md

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* modify readme

* modify index.rst

Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>

* test

* avoid windows path

* colab notebook: fix outdated link for doc

Fixed outdated link for how to customize your datasets by reorganizing data.

* fix lint

* 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

* Support #1375: add demo/image_demo.py support for STARE

* Update mmseg/core/evaluation/class_names.py

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

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

* Update get_flops.py

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

* Update get_flops.py

* [Feature] add nlc2nchw2nlc and nchw2nlc2nchw

* add example

* add test, add **kwargs to make it more universal

typos

* knet first commit

* fix import error in knet

* remove kernel update head from decoder head

* [Feature] Add kenerl updation for some decoder heads.

* [Feature] Add kenerl updation for some decoder heads.

* directly use forward_feature && modify other 3 decoder heads

* remover kernel_update attr

* delete unnecessary variables in forward function

* delete kernel update function

* delete kernel update function

* delete kernel_generate_head

* add unit test & comments in knet.py

* add copyright to fix lint error

* modify config names of knet

* rename swin-l 640

* upload models&logs and refactor knet_head.py

* modify docstrings and add some ut

* add url, modify docstring and add loss ut

* modify docstrings

Fix typos

* [Fix] Fix the bug that when all pixels in an image is ignored, the accuracy calculation raises ZeroDivisionError

* use eps

* all close

* add ignore test

* add eps

* change version to v0.22.0

* change version to v0.22.0

* add mmcls version in get_started.md

* add mmcls installation and move PR1299 into enhancement

* add mmcls installation and move PR1299 into enhancement

* remove MMCLS and make mmcv <=1.5.0 version in get_started.md

* fix typo

* 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

* 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

[Feature] Add `min_size` arg in `Resize` to keep the shape after resize bigger than slide window (#1318)

* [Feature] add setr_resize

* fix a bug

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix export onnx inference difference type Cast error

* fix export onnx inference difference type Cast error.

* use yapf format

* use same device type with pairwise_weight

* [Feature] Add kenerl updation for some decoder heads.

* [Feature] Add kenerl updation for some decoder heads.

* directly use forward_feature && modify other 3 decoder heads

* remover kernel_update attr

* delete unnecessary variables in forward function

* delete kernel update function

* delete kernel update function

* delete unnecessary docstrings

* modify comments in self._forward_feature()

* modify docstrings in self._forward_feature()

* fix docstring

* modify uperhead