* fixed typos

* replace url with download

* update to http

* update some models

* some fix

* support cascade

* add htc

* sup more models

* sup point rend

* clean comment

* minor fix

* clean

* fix unittest

* update doc

* fix image demo and robustness test

* fix webcame

* 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>

* Fix tutorial

* small change

* Add custom_imports

* Add tutorial

* import import_modules_from_strings later to be compatible with previous mmcv versions

* Fix documentation, update installation doc

* Update trouble shooting

* Change mmcv version to 1.0.5 in CI

* Update requirements

* Test mmcv 1.1.0

* Update CI requirements

* Support mmcv 1.1.1

* support to evaluate concatenated dataset

* rm pdb

* update model zoo

* resolve comments

* Add assert during initialization

* more flexible usage

* add unittests

* change order of unittests

* Docs (new_datasets): update docs about concat dataset eval

* Docs (new_datasets): update docs about concat dataset eval

* Resolve comments

* Resolve comments

* Fix documentation, update installation doc

* Update trouble shooting

* Change mmcv version to 1.0.5 in CI

* Update requirements

* Add eval-option flag for testing

* Update description

* Add BC

* Update docs

* merge with cfg.evaluate

* add more info

* add more keys to pop

* add docs

* Update usage and trouble shooting links

* update support for pt1.6

* Add common issue

* Update

* reformat

* reformat

* clean doc

* reformat

* modify contributing

* modify contact

* Fix doc issue

Fix the link to mmcv and language choice for 2 code blocks

* 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

* Update pytorch2onnx.py which using new logic to convert pytorch to ONNX

* use standard API to check whether in ONNX convert process

* only compare the score value while verifying results between ONNX and pytorch

* move import onnx before import torch, or something weird will happen

* use real images for input

* modifying the way of calling nms

* modify docstring for bbox2result, and remove unnecessary part for onnx exporting

* modify the 'Convert to ONNX' part in docs

* replace or to | in docstring

* update according to the latest mmcv

* add normalize part

* raise error while using low version mmcv

* minor update

* minor update

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

* update setup.py

* update collect_env accordingly

* rm VERSION and hardcode version.py

* Use get_git_hash in mmcv

* fix bug of version_file

* use function to parse version

* use __version__

* only print first 7 of git hash

* resolve comments

* Fix torch install issue in action

* add gui link in getting_started.md

* add gui link in getting_started.md

* Refine docs and fix format issues

* reformat

* fix mock

* Refine format

* Reorganize tutorials

* Update install doc

* resolve comments

L268: [wrong argumentation]: --work_dir --> --work-dir

* add CornerHead

* add unittest for CornerHead

* fix formatting

* fix a bug of ae_loss, update unittest for CornerHead

* add docstring for corner_head.py

* fix bug

* add docstring for gaussian_target.py, formatting

* fix unittest

* use batched_nms

* update docstrings

* modify variable names

* update docstrings

* update figure in docstrings, add models/utils apis in html

* update docstrings, update BiCornerPool

* import ops from mmcv

* Refine docs and fix format issues

* reformat

* fix mock

* Refine format

* Reorganize tutorials

* Update dockerfile

* update install.md

* update install.md

* 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

* Update setup.py

* update ci

* Update install scripts

* Update installation of mmcv

* clean op

* clean

* update build.yml

* fix setup

* change ci mmcv version

* change ci mmcv version

* add install pre-build mmcv instructions

* update mmcv url, move some unnit tests to mmcv

* update ci mmcv

* test

* test

* test

* fix unit test

* fix unit test

* fix onnx script

* update mmcv url

* fix typo

* fix some doc

* Bump version

* resolve comments

* Fix version bug

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

* fix typo in docs and docstring

* update launch utility url

* Fix bug of ordered list in getting_started

* Update docs

* Update usage

* Change example order

* add logo and resources folder

* update logo size

* change logo size to 400

* change logo size to 600

* update docstring formats

* fix :func:

* minor update

* 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>

* migrate flops counter to mmcv

* remove useless unit tests

* update the doc

* 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

* Code for paper "Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training"

* update configs/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x.py

* reformat code

* simplify code

* update model link

* simplify code

* simplify code logic

* simplify code and add comments

* minor updates of the docstring

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