* add change log for v2.11.0

* fix typo

* version 2.11.0

* fix typo

* to meet the specification of change log

* Update changelog.md

Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>

* bump to v2.10.0

* update other docs

* resolve comments

* resolve comments

* add chinese version readme

* fix the language link

* Add paper conference link and mmcv install docs

* Update contributing

* bump to v2.9.0

* update

Code for AAAI 2021 paper. "SCNet: Training Inference Sample Consistency for Instance Segmentation" (#4356)

* add scnet

* add more configs and minors

* fix unittest for scnet

* update docstring

* add forward test for htc and scnet

* fix build on pytorch 1.3 for empty tensor

* update doc string and minor refactor

* update unit-test and use inheritance for SCNet heads

* support scnet tta

* minor

* update readme

* minor fixes

* Code for Cascade RPN - NeurIPS 2019

* using mmdet2 apis

* update mmdet2 coords and minor fixes

* fix format

* update configs

* fix simple test

* update fast rcnn config

* minor fixes

* update docstring

* update readme

* update doc string

* minor fixes

* standard adaptive interface

* update agrs docs

Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* Add markdown lint in pre-commit hook

* add markdown lint

* bump to v2.7.0

* update dates

* update version requirements

* rephrase

* resolve comments

* Add DETR readme.md

* update model zoo

* fix typo

* add stem_channels opt

* add ResNeSt

* fixed config

* fixed cascade config

* add precise BN

* add precise bn in test

* format precise bn

* update precise bn interval

* fixed eval config bug

* fixed precise interval

* change to return_loss=False

* add naive syncbn

* add naive syncbn

* rmo precise bn

* add range ms

* change to MMSyncBN

* add naive

* fixed loader

* reset test

* fixed faster config bug

* add no norm decay

* add baseline no norm decay

* set fronzen_stages=-1

* move import

* restore to official setting

* set to MMSyncBN

* update s101 pretrain

* update docs

* fixed config

* add backbone+head

* change fpn init

* add s101

* add s101

* revert fpn init

* add modelzoo, docstring, test

* fixed test

* fixed test

* add missing models

* update docstring

* add comment

* fixed markdownlint

* [Enhancement] Refactor Q&A

* fix typo

* fix cudatoolkit

* rename

* resovle cmts

* reanme

* fixed yaml

* add link

* bump to v2.6.0

* update version requirements

* Add README.md reference

* Fix README.md

* add varifocal loss, vfnet head and config file

* fix nonzero() and register_module bug

* add more configs and README.md

* enlarge image in README.md

* add arxiv link

* add paper arxiv link

* attempt to fix checks error - res2net

* update readme

* update according to comments

* revert res2net.py

* compact the VFNetHead

* adapt for official TTA

* add unit tests and refine vfnet_head

* update url

* update readme

* add minor comments

* update supported models

* remove VFNet.png

Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* update tutorials for changing training settings

* update

* Update details of hook

* resolve comments

* reformat

* Update module documentations

* add notes for classes specification

* YOLACT (not the final commit, so please don't review)

* Implementation notes for YOLACT

* Modify yolact_r50.py

* Update YOLACT configs

* Add YOLACT README

* Adjust according to the first round of review

* Handle the corner case when gt_mask is empty

* Add unit tests for YOLACT heads

* Add unit tests for YOLACT forward

* Adjust according to Kai's comments, except for gt_mask filtering

* Change use_OHEM to use_ohem in unit tests

* Update config in YOLACT unit tests

* merge bbox overlap and batch bbox overlap

* fix unit test

* refactor some codes and fix some bugs

* fix isort

* fix ci

* update model link

* fix cfg path

* support batch test

* Make get_seg_masks faster

* fix format

* update readme

Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* add centripetal head

* update var names in CentripetalHead

* pre-commit

* modify init_weight to align performance

* add config and README

* fix lint

* update docstring

* update README.md and model_zoo.md

* update readme

* Update SABL/PAA in both readme and model zoo

* Bump to v2.4.0

* update change log and benchmark

* reformat

* fix typo

* resolve comments

* Update requirement in doc

Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

Code Release of ECCV 2020 Spotlight paper for Side-Aware Boundary Localization for More Precise Object Detection (#3603)

* add sabl two stage

* add sabl retina

* ret cfg bug fix

* test bug fix

* minor update

* update

* add r101 two stage

* update

* add cfgs

* add cfgs

* update cfgs

* format

* format

* add readme

* fix isort

* update

* update readme

* add doc string for sabl retina head

* add doc string and rename some functions

* add docstring for bucketing coder

* update docstring

* bucket_num -> num_buckets

* bucket_pw -> bucket_w bucket_ph -> bucket_h

* update label2onehot

* update bucketing bbox coder doc

* update

* typo fix

* bboxes_ -> rescaled_bboxes

* rename some params in sabl head

* init with mmcv.cnn

* update doc

* rename pos->post

* update cfgs

* update test cfg

* update

* add unitest for sabl head

* add unitest for sabl retina

* rename

* minor rename

* minor update

* update docstring

* update

* use F.one_hot

* update docstring

* update test heads

* update ReadMe

* fix

* Implement YOLOv3

* Remove unused function

* Update yolov3_ms_aug_273e.py

Clean the comments in config file

* Add README.md

* port to mmdet-2.0 api

* unify registry

* port to ConvModule and remove ConvLayer

* Refactor Backbone

* Update README

* Lint and format

* Unify the class name

* fix the `label - 1` problem

* Move a lot hard-coded params to the __init__ function

* Refactor YOLOV3Neck

* Add norm_cfg and act_cfg to backbone

* Update Config

* Fix doc string

* Fix nms (thanks to @LMerCy)

* Add doc string

* Update config

* Remove pretrained in head and neck

* Add support for conv_cfg in neck

* Update mmdet/models/dense_heads/yolo_head.py

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* Update mmdet/models/dense_heads/yolo_head.py

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* Fix README.md

* Fix typos

* update config

* flake8, yapf, docformatter, etc

* Update README

* Add conv_cfg to backbone and head

* Move some config to arch_settings in backbone

* Add doc strings and replace Warning with warnings.warn()

* Fix bug.

* Update doc

* Add _frozen_stages for backbone

* Update mmdet/models/backbones/darknet.py

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* Fix inplace bug

* fix indent

* refactor config

* set 8GPU lr

* fixed typo

* update performance table

* Resolve conversation

* Add anchor generator and coder

* fixed test

* Finish refactor

* refactor anchor order

* fixed batch size

* Fixed train_cfg

* fix yolo assigner

* clean up

* Fixed format

* Update model zoo

* change to mmcv pretrain link

* add test forward

* fixed comma and docstring

* Refactor loss

* reformat

* fixed avg_factor

* revert to original

* fixed format

* update table

* fixed BCE

Co-authored-by: Haoyu Wu <haoyu.wu@wdc.com>
Co-authored-by: Haoyu Wu <wuhy08@users.noreply.github.com>
Co-authored-by: Haoyu Wu <wuhaoyu1989@gmail.com>
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
Co-authored-by: xmpeng <1051323399@qq.com>

* Update usage and trouble shooting links

* update support for pt1.6

* add cornernet

* update model zoo

* Add change log of v2.3.0

* change minimum required version of mmcv to 1.0.5

* rm tmp files

* Update docs

* Update docs and requirements

* clean comments

* update with 3392

* Add colab link

* Use mmcv-full in requirements

* Migrate to MMCV 1.0.2

* Resolve path issue

* Use newest MMDet

* Update projects

* Update install process

* add logo and resources folder

* update logo size

* change logo size to 400

* change logo size to 600

* Add colab training tutorial

* Update tutorial codes and fix bug

* Clean files, refactor TBD

* Update tutorials

* Remove duplicated code

* Mv tutorial

* Bump to 2.2

* remove some

* update

* update

* update mmcv version

* Add support for DetectoRS.

* Fix Travis CI build failure and remove loading rfp_pretrained for test

* Revise the code according to the PR reviews:

* remove unnecessary `,`

* add docstring to ASPP and ConvAWS2d

* make args of ASPP configurable

* simplify the code of ConvAWS2d

* import nn and functional for SAConv2d

* rewrite rfp_conv with build_conv_layer and constant_init

* rename rfp_inp with rfp_inplanes

* reformat code to pass Travis CI build

* Revise codes according to the PR reviews:

* Create new backbone DetectoRS_ResNe(X)t to incorporate RFP and SAC.

* Initialize modules with mmcv.cnn.

* Revise the codes of RFP.

* Revise codes according to the PR comments:

* Add docstrings to Bottleneck in mmdet/models/backbones/detectors_resnet.py.

* Add docstrings to _load_from_state_dict in mmdet/ops/conv_ws.py.

* Initialize the switch of SAC with mmcv.

* minior refactor and docstring

* update doc

* update README

* move init into init_weights()

* update model zoo

* add gfl

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>

* add docstring for pipelines

* add docs string for transform pipeline

* add dataset docs

* resovle comments

* refactor table

* resovle comments

* delete __repr__

* resolve comments

* minor update

* update readme

* minor update

* rename api