Co-authored-by: CSH <40987381+csatsurnh@users.noreply.github.com>

Add docs contents at README.md to easily find documents.
Issue: #2664 

![image](https://github.com/open-mmlab/mmsegmentation/assets/50650583/0763e108-f095-44d1-8e2a-ba2e83f02625)

![image](https://github.com/open-mmlab/mmsegmentation/assets/50650583/088e0945-55b4-4d3f-97bb-02e39dfafb5e)

![image](https://github.com/open-mmlab/mmsegmentation/assets/50650583/109e0320-d6a9-405f-b169-87acb5a0f94d)

![image](https://github.com/open-mmlab/mmsegmentation/assets/50650583/d1d72bde-40c0-451a-be6e-010f1f2d193b)

Ref: https://github.com/ydhongHIT/DDRNet#citation



Co-authored-by: xiexinch <xiexinch@outlook.com>

## Motivation

Update repo information and URLs in README.

## Modification


## BC-breaking (Optional)


## Use cases (Optional)

---------

Co-authored-by: CSH <40987381+csatsurnh@users.noreply.github.com>

## Motivation

As title, lead users to follow our migration document.

## Checklist

- [x] https://github.com/open-mmlab/mmsegmentation/pull/2801

## Motivation

Support SegNeXt in MMSeg 1.x branch.

0.x PR: https://github.com/open-mmlab/mmsegmentation/pull/2600



---------

Co-authored-by: xiexinch <xiexinch@outlook.com>

## Motivation

Support SOTA real-time semantic segmentation method in [Paper with
code](https://paperswithcode.com/task/real-time-semantic-segmentation)

Paper: https://arxiv.org/pdf/2206.02066.pdf
Official repo: https://github.com/XuJiacong/PIDNet

## Current results

**Cityscapes**

|Model|Ref mIoU|mIoU (ours)|
|---|---|---|
|PIDNet-S|78.8|78.74|
|PIDNet-M|79.9|80.22|
|PIDNet-L|80.9|80.89|

## TODO

- [x] Support inference with official weights
- [x] Support training on Cityscapes
- [x] Update docstring
- [x] Add unit test

## [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package .
## Motivation
Add Mapillary Vistas Datasets to core package.
Old PR #2484 

## Modification
- Add Mapillary Vistas Datasets to core package.
- Delete `tools/datasets_convert/mapillary.py` , dataset does't need
converting.
- Add `schedule_240k.py`  config.
- Add configs files.  
  ```none
  deeplabv3plus_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
  deeplabv3plus_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
  maskformer_swin-s_4xb2-240k_mapillary_v1-512x1024.py
  maskformer_swin-s_4xb2-240k_mapillary_v2-512x1024.py
  maskformer_r101-d8_4xb2-240k_mapillary_v1-512x1024.py
  maskformer_r101-d8_4xb2-240k_mapillary_v2-512x1024.py
  pspnet_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
  pspnet_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
  ```
- Synchronized changes to `projects/mapillary_datasets`

---------

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

as title

---------

Co-authored-by: MeowZheng <meowzheng@outlook.com>

as title

## Motivation

Make projects contribution more clear

## Modification

1. Add description on project/README
2. Modify comments to reference in example_project/README 
3. Add faq for projects

## BC-breaking (Optional)

No

as title

## Motivation

To release 1.0.0rc3  

## Modification

1. Modify mmseg version 
2. Add change log
3. Modify README
4. Modify faq 
5. Revise docker file

* Bump 1.0.0rc2

* typo

* init commits

* fix crop size

* add seg_data2instance_data method

* add ut and update requirement

* update configs and readme

* add model-indel

* update optional requirements

* fix results

* fix lint error

* update results

* update results

* remove mmdet from requirements/optional.txt

* use try import and update README

* add docstring to overwrtied method

* minor change

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

* [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

* [Feature] 2.0 PoolFormer

* fix mmcls version

* fix ut error

* fix ut

* fix ut

* [Fix] README for mmseg 1.x

* typo

* link and refine

* Bump version to v0.24.1

* version.py

* changelog.md

* [WIP] Bump version to v0.24.0

* changelog

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* Update docs/en/changelog.md

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

* words

* typo

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

* Bump version to v0.23.0

* new contributor

* rephrase

* tyoi

* typo

* get_started

* typo

* rephrase

* rephrase

* rephrase

* [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

* [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>

* 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

* 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