Bump version to v0.9.0 (open-mmlab#299)

* [Feature]: MAE pre-training with fp16 (open-mmlab#271)

* [Feature]: MAE pre-training with fp16

* [Fix]: Fix lint

* [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (open-mmlab#272)

* [Fix]: Fix link error

* [Fix]: Add SimMIM to model zoo

* [Fix]: Fix lint

* [Fix] fix 'no init_cfg' error for pre-trained model backbones (open-mmlab#256)

* [UT] add unit test for apis (open-mmlab#276)

* [UT] add unit test for apis

* ignore pytest log

* [Feature] Add extra dataloader settings in configs. (open-mmlab#264)

* [Feature] support to set validation samples per gpu independently

* set default to be cfg.data.samples_per_gpu

* modify the tools/test.py

* using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings

* test 'evaluation' branch

* [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (open-mmlab#278)

* [Feature]: Add SimMIM 192 pt 224 ft (open-mmlab#280)

* [Feature]: Add SimMIM 192 pt 224 ft

* [Feature]: Add simmim 192 pt 224 ft to readme

* [Fix] fix key error bug when registering custom hooks (open-mmlab#273)

* [UT] remove pytorch1.5 test (open-mmlab#288)

* [Benchmark] rename linear probing config file names (open-mmlab#281)

* [Benchmark] rename linear probing config file names

* update config links

* Avoid GPU memory leak with prefetch dataloader (open-mmlab#277)

* [Feature] barlowtwins (open-mmlab#207)

* [Fix]: Fix mmcls upgrade bug (open-mmlab#235)

* [Feature]: Add multi machine dist_train (open-mmlab#232)

* [Feature]: Add multi machine dist_train

* [Fix]: Change bash to sh

* [Fix]: Fix missing sh suffix

* [Refactor]: Change bash to sh

* [Refactor] Add unit test (open-mmlab#234)

* [Refactor] add unit test

* update workflow

* update

* [Fix] fix lint

* update test

* refactor moco and densecl unit test

* fix lint

* add unit test

* update unit test

* remove modification

* [Feature]: Add MAE metafile (open-mmlab#238)

* [Feature]: Add MAE metafile

* [Fix]: Fix lint

* [Fix]: Change LARS to AdamW in the metafile of MAE

* Add barlowtwins

* Add unit test for barlowtwins

* Adjust training params

* add decorator to pass CI

* adjust params

* Add barlowtwins

* Add unit test for barlowtwins

* Adjust training params

* add decorator to pass CI

* adjust params

* add barlowtwins configs

* revise LatentCrossCorrelationHead

* modify ut to save memory

* add metafile

* add barlowtwins results to model zoo

* add barlow twins to homepage

* fix batch size bug

* add algorithm readme

* add type hints

* reorganize the model zoo

* remove one config

* recover the config

* add missing docstring

* revise barlowtwins

* reorganize coco and voc benchmark

* add barlowtwins to index.rst

* revise docstring

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>
Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>

* [Fix] fix --local-rank (open-mmlab#290)

* [UT] reduce memory usage while runing unit test (open-mmlab#291)

* [Feature]: CAE Supported (open-mmlab#284)

* [Feature]: Add mc

* [Feature]: Add dataset of CAE

* [Feature]: Init version of CAE

* [Feature]: Add mc

* [Fix]: Change beta to (0.9, 0.999)

* [Fix]: New feature

* [Fix]: Decouple the qkv bias

* [Feature]: Decouple qkv bias in MultiheadAttention

* [Feature]: New mask generator

* [Fix]: Fix TransformEncoderLayer bug

* [Feature]: Add MAE CAE linear prob

* [Fix]: Fix config

* [Fix]: Delete redundant mc

* [Fix]: Add init value in mim cls vit

* [Fix]: Fix cae ft config

* [Fix]: Delete repeated init_values

* [Fix]: Change bs from 64 to 128 in CAE ft

* [Fix]: Add mc in cae pt

* [Fix]: Fix momemtum update bug

* [Fix]: Add no weight_decay for gamma

* [Feature]: Add mc for cae pt

* [Fix]: Delete mc

* [Fix]: Delete redundant files

* [Fix]: Fix lint

* [Feature]: Add docstring to algo, backbone, neck and head

* [Fix]: Fix lint

* [Fix]: network

* [Feature]: Add docstrings for network blocks

* [Feature]: Add docstring to ToTensor

* [Feature]: Add docstring to transoform

* [Fix]: Add type hint to BEiTMaskGenerator

* [Fix]: Fix lint

* [Fix]: Add copyright to dalle_e

* [Fix]: Fix BlockwiseMaskGenerator

* [Feature]: Add UT for CAE

* [Fix]: Fix dalle state_dict path not existed bug

* [Fix]: Delete file_client_args related code

* [Fix]: Remove redundant code

* [Refactor]: Add fp16 to the name of cae pre-train config

* [Refactor]: Use FFN from mmcv

* [Refactor]: Change network_blocks to trasformer_blocks

* [Fix]: Fix mask generator name bug

* [Fix]: cae pre-train config bug

* [Fix]: Fix docstring grammar

* [Fix]: Fix mc related code

* [Fix]: Add object parent to transform

* [Fix]: Delete unnecessary modification

* [Fix]: Change blockwisemask generator to simmim mask generator

* [Refactor]: Change cae mae pretrain vit to cae mae vit

* [Refactor]: Change lamb to lambd

* [Fix]: Remove blank line

* [Fix]: Fix lint

* [Fix]: Fix UT

* [Fix]: Delete modification to swin

* [Fix]: Fix lint

* [Feature]: Add README and metafile

* [Feature]: Update index.rst

* [Fix]: Update model_zoo

* [Fix]: Change MAE to CAE in algorithm

* [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator

* [Fix]: Fix model zoo

* [Fix]: Change to dalle_encoder

* [Feature]: Add download link for dalle

* [Fix]: Fix lint

* [Fix]: Fix UT

* [Fix]: Update metafile

* [Fix]: Change b to base

* [Feature]: Add dalle download link in warning

* [Fix] add arxiv link in readme

Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>

* [Enhance] update SimCLR models and results (open-mmlab#295)

* [Enhance] update simclr models and results

* [Fix] revise comments to indicate settings

* Update version (open-mmlab#296)

* [Feature]: Update to 0.9.0

* [Feature]: Add version constrain for mmcls

* [Fix]: Fix bug

* [Fix]: Fix version bug

* [Feature]: Update version in install.md

* update changelog

* update readme

* [Fix] fix uppercase

* [Fix] fix uppercase

* [Fix] fix uppercase

* update version dependency

* add cae to readme

Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>

Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>
Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com>
Co-authored-by: xcnick <xcnick0412@gmail.com>
Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>

Bump version to v0.8.0 (open-mmlab#269)

* [Fix]: Fix mmcls upgrade bug (open-mmlab#235)

* [Feature]: Add multi machine dist_train (open-mmlab#232)

* [Feature]: Add multi machine dist_train

* [Fix]: Change bash to sh

* [Fix]: Fix missing sh suffix

* [Refactor]: Change bash to sh

* [Refactor] Add unit test (open-mmlab#234)

* [Refactor] add unit test

* update workflow

* update

* [Fix] fix lint

* update test

* refactor moco and densecl unit test

* fix lint

* add unit test

* update unit test

* remove modification

* [Feature]: Add MAE metafile (open-mmlab#238)

* [Feature]: Add MAE metafile

* [Fix]: Fix lint

* [Fix]: Change LARS to AdamW in the metafile of MAE

* [Fix] fix codecov bug (open-mmlab#241)

* [Fix] fix codecov bug

* update comment

* [Refactor] Using MMCls backbones (open-mmlab#233)

* [Refactor] using backbones from MMCls

* [Refactor] modify the unit test

* [Fix] modify default setting of out_indices

* [Docs] fix lint

* [Refactor] modify super init

* [Refactore] remove res_layer.py

* using mmcv PatchEmbed

* [Fix]: Fix outdated problem (open-mmlab#249)

* [Fix]: Fix outdated problem

* [Fix]: Update MoCov3 bibtex

* [Fix]: Use abs path in README

* [Fix]: Reformat MAE bibtex

* [Fix]: Reformat MoCov3 bibtex

* [Feature] Resume from the latest checkpoint automatically. (open-mmlab#245)

* [Feature] Resume from the latest checkpoint automatically.

* fix windows path problem

* fix lint

* add code reference

* [Docs] add docstring for ResNet and ResNeXt (open-mmlab#252)

* [Feature] support KNN benchmark (open-mmlab#243)

* [Feature] support KNN benchmark

* [Fix] add docstring and multi-machine testing

* [Fix] fix lint

* [Fix] change args format and check init_cfg

* [Docs] add benchmark tutorial

* [Docs] add benchmark results

* [Feature]: SimMIM supported (open-mmlab#239)

* [Feature]: SimMIM Pretrain

* [Feature]: Add mix precision and 16x128 config

* [Fix]: Fix config import bug

* [Fix]: Fix config bug

* [Feature]: Simim Finetune

* [Fix]: Log every 100

* [Fix]: Fix eval problem

* [Feature]: Add docstring for simmim

* [Refactor]: Merge layer wise lr decay to Default constructor

* [Fix]:Fix simmim evaluation bug

* [Fix]: Change model to be compatible to latest version of mmcls

* [Fix]: Fix lint

* [Fix]: Rewrite forward_train for classification cls

* [Feature]: Add UT

* [Fix]: Fix lint

* [Feature]: Add 32 gpus training for simmim ft

* [Fix]: Rename mmcls classifier wrapper

* [Fix]: Add docstring to SimMIMNeck

* [Feature]: Generate docstring for the forward function of simmim encoder

* [Fix]: Rewrite the class docstring for constructor

* [Fix]: Fix lint

* [Fix]: Fix UT

* [Fix]: Reformat config

* [Fix]: Add img resolution

* [Feature]: Add readme and metafile

* [Fix]: Fix typo in README.md

* [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator

* [Fix]: Change the name of SwinForSimMIM

* [Fix]: Delete irrelevant files

* [Feature]: Create extra transformerfinetuneconstructor

* [Fix]: Fix lint

* [Fix]: Update SimMIM README

* [Fix]: Change SimMIMPretrainHead to SimMIMHead

* [Fix]: Fix the docstring of ft constructor

* [Fix]: Fix UT

* [Fix]: Recover deletion

Co-authored-by: Your <you@example.com>

* [Fix] add seed to distributed sampler (open-mmlab#250)

* [Fix] add seed to distributed sampler

* fix lint

* [Feature] Add ImageNet21k (open-mmlab#225)

* solve memory leak by limited implementation

* fix lint problem

Co-authored-by: liming <liming.ai@bytedance.com>

* [Refactor] change args format to '--a-b' (open-mmlab#253)

* [Refactor] change args format to `--a-b`

* modify tsne script

* modify 'sh' files

* modify getting_started.md

* modify getting_started.md

* [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (open-mmlab#261)

* [Fix] fix positional parameter error (open-mmlab#260)

* [Fix] fix command errors in benchmarks tutorial (open-mmlab#263)

* [Docs] add brief installation steps in README.md (open-mmlab#265)

* [Docs] add colab tutorial (open-mmlab#247)

* [Docs] add colab tutorial

* fix lint

* modify the colab tutorial, using API to train the model

* modify the description

* remove #

* modify the command

* [Docs] translate 6_benchmarks.md into Chinese (open-mmlab#262)

* [Docs] translate 6_benchmarks.md into Chinese

* Update 6_benchmarks.md

change 基准 to 基准评测

* Update 6_benchmarks.md

(1)  Add Chinese translation of  ‘1 folder for ImageNet nearest-neighbor classification task’
(2) 数据预准备 -> 数据准备

* [Docs] remove install scripts in README (open-mmlab#267)

* [Docs] Update version information in dev branch (open-mmlab#268)

* update version to v0.8.0

* fix lint

* [Fix]: Install the latest mmcls

* [Fix]: Add SimMIM in RAEDME

Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
Co-authored-by: Your <you@example.com>
Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com>
Co-authored-by: liming <liming.ai@bytedance.com>
Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com>
Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>

Bump version to 0.7.1 (open-mmlab#236)

* [Fix] fix mmcls version bug

* Update version

* [Docs] fix typo

* Update MMCls version dependency

* update version dependency

Bump version to v0.7.0 (open-mmlab#229)

* [Enhance] add pre-commit hook for algo-readme and copyright (open-mmlab#213)

* [Enhance] add test windows in workflows (open-mmlab#215)

* [Enhance] add test windows in workflows

* fix lint

* add optional requirements

* add try-except judgement

* add opencv installation in windows test steps

* fix path error on windows

* update

* update path

* update

* add pytest skip for algorithm test

* update requirements/runtime.txt

* update pytest skip

* [Docs] translate 0_config.md into Chinese (open-mmlab#216)

* [Docs] translate 0_config.md into Chinese

* [Fix] fix format description in 0_config.md

* Update: 0_config.md

* [Fix] fix tsne 'no `init_cfg`' error (open-mmlab#222)

* [Fix] fix tsne 'no init_cfg' and pool_type errors

* [Refactor] fix linting of tsne vis

* [Docs] reorganizing OpenMMLab projects and update algorithms in readme (open-mmlab#219)

* [Docs] reorganizing OpenMMLab projects and update algorithms in readme

* using small letters

* fix typo

* [Fix] fix image channel bgr/rgb bug and update benchmarks (open-mmlab#210)

* [Fix] fix image channel bgr/rgb bug

* update model zoo

* update readme and metafile

* [Fix] fix typo

* [Fix] fix typo

* [Fix] fix lint

* modify Places205 directory according to the downloaded dataset

* update results

* [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (open-mmlab#218)

* fig bug for prefetch_loader under multi-view setting

* fix lint problem

Co-authored-by: liming <liming.ai@bytedance.com>

* [Feature]: MAE official (open-mmlab#221)

* [Feature]: MAE single image pre-training

* [Fix]: Fix config

* [Fix]: Fix dataset link

* [Feature]: Add run

* [Refactor]: Delete spot

* [Feature]: ignore nohup output file

* [Feature]: Add auto script to generate run cmd

* [Refactor]: Refactor mae config file

* [Feature]: sz20 settings

* [Feature]: Add auto resume

* [Fix]: Fix lint

* [Feature]: Make git ignore txt

* [Refactor]: Delete gpus in script

* [Fix]: Make generate_cmd to add --async

* [Feature]: Initial version of Vit fine-tune

* [Fix]: Add 1424 specific settings

* [Fix]: Fix missing file client bug for 1424

* [Feature]: 1424 customized settings

* [Fix]: Make drop in eval to False

* [Feature]: Change the finetune and pre-training settings

* [Feature]: Add debug setting

* [Refactor]: Refactor the model

* [Feature]: Customized settings

* [Feature]: Add A100 settings

* [Fix]: Change mae to imagenet

* [Feature]: Change mae pretrain num workers to 32

* [Feature]: Change num workers to 16

* [Feature]: Add A100 setting for pre_release ft version

* [Feature]: Add img_norm_cfg

* [Fix]: Fix mae cls test missing logits bug

* [Fix]: Fix mae cls head bias initialize to zero

* [Feature]: Rename mae config name

* [Feature]: Add MAE README.md

* [Fix]: Fix lint

* [Feature]: Fix typo

* [Fix]: Fix typo

* [Feature]: Fix invalid link

* [Fix]: Fix finetune config file name

* [Feature]: Official pretrain v1

* [Feature]: Change log interval to 100

* [Feature]: pretrain 1600 epochs

* [Fix]: Change encoder num head to 12

* [Feature]: Mix precision

* [Feature]: Add default value to random masking

* [Feature]: Official MAE finetune

* [Feature]: Finetune img per gpu 32

* [Feature]: Add multi machine training for lincls

* [Fix]: Fix lincls master port master addr

* [Feature]: Change img per gpu to 128

* [Feature]: Add linear eval and Refactor

* [Fix]: Fix debug mode

* [Fix]: Delete MAE dataset in __init__.py

* [Feature]: normalize pixel for mae

* [Fix]: Fix lint

* [Feature]: LARS for linear eval

* [Feature]: Add lars for mae linear eval

* [Feature]: Change mae linear lars num workers to 32

* [Feature]: Change mae linear lars num workers to 8

* [Feature]: log every 25 iter for mae linear eval lars

* [Feature]: Add 1600 epoch and 800 epoch pretraining

* [Fix]: Change linear eval to 902

* [Fix]: Add random flip to linear eval

* [Fix]: delete fp16 in mae

* [Refactor]: Change backbone to mmcls

* [Fix]: Align finetune settings

* [Fix]: replace timm trunc_normal with mmcv trunc_normal

* [Fix]: Change finetune layer_decay to 0.65

* [Fix]: Delete pretrain last norm when global_pooling

* [Fix]: set requires_grad of norm1 to False

* [Fix]: delete norm1

* [Fix]: Fix docstring bug

* [Fix]: Fix lint

* [Fix]: Add external link

* [Fix]: Delete auto_resume and reformat config readme.

* [Fix]: Fix pytest bug

* [Fix]: Fix lint

* [Refactor]: Rename filename

* [Feature]: Add docstring

* [Fix]: Rename config file name

* [Fix]: Fix name inconsistency bug

* [Fix]: Change the default value of persistent_worker in builder to True

* [Fix]: Change the default value of CPUS_PER_TASK to 5

* [Fix]: Add a blank line to line136 in tools/train.py

* [Fix]: Fix MAE algorithm docstring format and add paper name and url

* [Feature]: Add MAE paper name and link, and store mae teaser on github

* [Refactor]: Delete mae.png

* [Fix]: Fix config file name”

* [Fix]: Fix name bug

* [Refactor]: Change default GPUS to 8

* [Fix]: Abandon change to drop_last

* [Fix]: Fix docstring in mae algorithm

* [Fix]: Fix lint

* [Fix]: Fix lint

* [Fix]: Fix mae finetune algo type bug

* [Feature]: Add unit test for algorithm

* [Feature]: Add unit test for remaining parts

* [Fix]: Fix lint

* [Fix]: Fix typo

* [Fix]: Delete some unnecessary modification in gitignore

* [Feature]: Change finetune setting in mae algo to mixup setting

* [Fix]: Change norm_pix_loss to norm_pix in pretrain head

* [Fix]: Delete modification in dist_train_linear.sh

* [Refactor]: Delete global pool in mae_cls_vit.py

* [Fix]: Change finetune param to mixup in test_mae_classification

* [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test

* [Fix]: Change norm_pix_loss to norm_pix in unit test

* [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head

* [Refactor]: Construct 2d sin-cosine position embedding using torch

* [Refactor]: Using classification and using mixup from mmcls

* [Fix]: Fix lint

* [Fix]: Add False to finetune mae linprobe‘
“

* [Fix]: Set drop_last to False

* [Fix]: Fix MAE finetune layerwise lr bug

* [Refactor]: Delete redundant MAE when registering MAE

* [Refactor]: Split initialize_weights in MAE to submodules

* [Fix]: Change the min_lr of mae pretrain to 0.0

* [Refactor]: Delete  unused _init_weights in mae_cls_vit

* [Refactor]: Change MAE cls vit to a more general name

* [Feature]: Add Epoch Fix cosine annealing lr updater

* [Fix]: Fix lint

* [Feature]: Add layer wise lr decay in optimizer constructor

* [Fix]: Fix lint

* [Fix]: Fix set layer wise lr decay bug

* [Fix]: Fix UT for MAE

* [Fix]: Fix lint

* [Fix]: update algorithm readme format for MAE

* [Fix]: Fix isort

* [Fix]: Add Returns inmae_pretrain_vit

* [Fix]: Change bgr to rgb

* [Fix]: Change norm pix to True

* [Fix]: Use cls_token to linear prob

* [Fix]: Delete mixup.py

* [Fix]: Fix MAE readme

* [Feature]: Delete linprobe

* [Refactor]: Merge MAE head into one file

* [Fix]: Fix lint

* [Fix]: rename mae_pretrain_head to mae_head

* [Fix]: Fix import error in __init__.py

* [Feature]: skip MAE algo UT when running on windows

* [Fix]: Fix UT bug

* [Feature]: Update model_zoo

* [Fix]: Rename MAE pretrain model name

* [Fix]: Delete mae ft prefix

* [Feature]: Change b to base

* [Refactor]: Change b in MAE pt config to base

* [Fix]: Fix typo in docstring

* [Fix]: Fix name bug

* [Feature]: Add new constructor for MAE finetune

* [Fix]: Fix model_zoo link

* [Fix]: Skip UT for MAE

* [Fix]: Change fixed channel order to param

Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn>
Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>

* [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (open-mmlab#228)

* [Feature]: Add set diff seeds to diff ranks

* [Fix]: Set diff seed to diff workers

* Bump version to v0.7.0 (open-mmlab#227)

* Bump version to v0.7.0

* [Docs] update readme

Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com>
Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com>
Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com>
Co-authored-by: liming <liming.ai@bytedance.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn>
Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>

Bump version to v0.6.0 (open-mmlab#199)

* [Feature] Add MoCo v3 (open-mmlab#194)

* [Feature] add position embedding function

* [Fature] modify nonlinear neck for vit backbone

* [Feature] add mocov3 head

* [Feature] modify cls_head for vit backbone

* [Feature] add ViT backbone

* [Feature] add mocov3 algorithm

* [Docs] revise BYOL hook docstring

* [Feature] add mocov3 vit small config files

* [Feature] add mocov3 vit small linear eval config files

* [Fix] solve conflict

* [Fix] add mmcls

* [Fix] fix docstring format

* [Fix] fix isort

* [Fix] add mmcls to runtime requirements

* [Feature] remove duplicated codes

* [Feature] add mocov3 related unit test

* [Feature] revise position embedding function

* [Feature] add UT codes

* [Docs] add README.md

* [Docs] add model links and results to model zoo

* [Docs] fix model links

* [Docs] add metafile

* [Docs] modify install.md and add mmcls requirements

* [Docs] modify description

* [Fix] using specific arch name `mocov3-small`  rather than general arch name `small`

* [Fix] add mmcls

* [Fix] fix arch name

* [Feature] change name to `MoCoV3`

* [Fix] fix unit test bug

* [Feature] change `BYOLHook` name to `MomentumUpdateHook`

* [Feature] change name to MoCoV3

* [Docs] modify description

Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>

* [Docs] update model zoo results (open-mmlab#195)

* Bump version to v0.6.0 (open-mmlab#198)

* [Docs] update model zoo results

* Bump version to v0.6.0

Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>

[Docs] add badge link & update mmseg version requirement (open-mmlab#143

)