* [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 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>

* Add DistSamplerSeedHook for when runner is EpochBasedRunner

* add comment

* add with cp to mit and vit

* add test unit

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

* 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

* 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>

* [Feature] add nlc2nchw2nlc and nchw2nlc2nchw

* add example

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

* 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] 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

[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

* 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>

* make accuracy take into account ignore_index

* add UT for accuracy

* Bump v0.21.1

* add improvements in changelog

* add improvements in changelog

* fix cn readme

* change changelog

* [Improve] Add exception for PointRend for support CPU-only usage

* fixed linting

* [Improve] Use MMCV load_state_dict func in ViT/Swin

* use CheckpointLoader instead

* change version to v0.21.0

* change version to v0.21.0

* change version to v0.21.0

* change version to v0.21.0

* [Enhance] New-style CPU training and inference.

* assert mmcv version

* SyncBN to BN in training and testing

* SyncBN to BN in training and testing

* upload untracked files to this branch

* delete gpu_ids

* fix bugs

* assert args.gpu_id in train.py

* use cfg.gpu_ids = [args.gpu_id]

* use cfg.gpu_ids = [args.gpu_id]

* fix typo

* fix typo

* fix typos

* segmenter: add model

* update

* readme: update

* config: update

* segmenter: update readme

* segmenter: update

* segmenter: update

* segmenter: update

* configs: set checkpoint path to pretrain folder

* segmenter: modify vit-s/lin, remove data config

* rreadme: update

* configs: transfer from _base_ to segmenter

* configs: add 8x1 suffix

* configs: remove redundant lines

* configs: cleanup

* first attempt

* swipe CI error

* Update mmseg/models/decode_heads/__init__.py

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

* segmenter_linear: use fcn backbone

* segmenter_mask: update

* models: add segmenter vit

* decoders: yapf+remove unused imports

* apply precommit

* segmenter/linear_head: fix

* segmenter/linear_header: fix

* segmenter: fix mask transformer

* fix error

* segmenter/mask_head: use trunc_normal init

* refactor segmenter head

* Fetch upstream (#1)

* [Feature] Change options to cfg-option (#1129)

* [Feature] Change option to cfg-option

* add expire date and fix the docs

* modify docstring

* [Fix] Add <!-- [ABSTRACT] --> in metafile #1127

* [Fix] Fix correct num_classes of HRNet in LoveDA dataset #1136

* Bump to v0.20.1 (#1138)

* bump version 0.20.1

* bump version 0.20.1

* [Fix] revise --option to --options #1140

Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>

* decode_head: switch from linear to fcn

* fix init list formatting

* configs: remove variants, keep only vit-s on ade

* align inference metric of vit-s-mask

* configs: add vit t/b/l

* Update mmseg/models/decode_heads/segmenter_mask_head.py

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

* Update mmseg/models/decode_heads/segmenter_mask_head.py

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

* Update mmseg/models/decode_heads/segmenter_mask_head.py

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

* Update mmseg/models/decode_heads/segmenter_mask_head.py

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

* Update mmseg/models/decode_heads/segmenter_mask_head.py

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

* model_converters: use torch instead of einops

* setup: remove einops

* segmenter_mask: fix missing imports

* add necessary imported init funtion

* segmenter/seg-l: set resolution to 640

* segmenter/seg-l: fix test size

* fix vitjax2mmseg

* add README and unittest

* fix unittest

* add docstring

* refactor config and add pretrained link

* fix typo

* add paper name in readme

* change segmenter config names

* fix typo in readme

* fix typos in readme

* fix segmenter typo

* fix segmenter typo

* delete redundant comma in config files

* delete redundant comma in config files

* fix convert script

* update lateset master version

Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>