* add a guidance for benchmark speed

* add training time guidance

* fix typos

* fix url

* fix type

* Categorize tools

* Update docs

* Rename tools

* Tool organization

* Add markdown lint in pre-commit hook

* add markdown lint

* 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

* 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

* fixed typos

* replace url with download

* update to http

* 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>

* add cornernet

* update model zoo

* 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

* 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>

* roi_extractors: GRoIE addition

Signed-off-by: Leonardo Rossi <leonardo.rossi@unipr.it>

* Fix bug caused by empty tensor and update benchmark results

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

* add 3x link

* Update model links

* clean scripts

* fix typo

* Add RegNet, docs/refactor TBD

* Support RegNet

* Add RegNets

* Modify docs and refactor code

* fix pre-train bug

* Performance ready

* Use public model weights

* Performance & settings done

* Fix unittest bug

* Try another way of test config

* Add unittest and refactor

* Reformat

* Finish refactor regnet

* merge tests

* fix conflicts

* Fix resnext CI bug

* rename parameter

* Add ref link & clean _delete_

* tweaks of doc

* try resnext doctest

* add expansion in block

* remove doctest of resnext

* update inf speed

* update some models

* update benchmark config and model

* add no aug config

* merge log model table with performance table

* add detectron2 url

2. Added FSAF model zoo

Co-authored-by: wangxinjiang <wangxinjiang@sensetime.com>

* add compare table fix model_zoo.md

* fix some typos

* minor add

* minor update

* add link for mmdet

* minor update

* add docs

* reorg tutorials and a minor fix

* add docs on adding new necks

* add configs for all models

* fix some configs

* Add benchmark models

* update some benchmarks

* Fix retina config

* add more benchmarks

* update MODEL_ZOO.md

* fix cascade mask num_class bug

* change caffe pretrained url

* fix paramwise_cfg bug

* fix paramwise cfg

* restrict minimum h and w in crop_and_resize

* add grad clip for fcos

* add grad clip for ga retinanet

* fix grad clip

* fix img norm

* fix rpn loss bbox

* fix rpn proposal num

* fix url

* clean

* update comparison

* minor update

* add grad clip for guided anchoring

* fix some typos

* add inference time details

* clean

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

* Add tutorials for V2.0

* Add details for dataset tutorial

* add tutorials in index.rst

* Add tutorials for concat data

* Modify documents

* More contents

* add carafe ops

* rename carafe benchmark

* grad check fix

* update grad check

* update grad check output

* add fpn carafe & mask head carafe

* add ReadMe

* update readme

* add carafe setup

* update naive carafe

* update readme and setup

* readme typo fix

* fix flake8 error

* fix flake 8 error

* fix flake 8

* fix flake 8 more

* flake 8 fix plus

* flake 8 fix

* fix flake 8

* reformat ops files

* update fpn files and cfgs

* update readme

* update fcn_mask_head

* update fpn_carafe

* update kernel

* update

* update

* add docstring in FPN_CARAFE

* reformat with yapf

* update

* update

* add build upsampler

* fix mask head build error

* reformat build upsample layer

* add doc string for CARAFE and PixelShuffle

* update

* update upsample_cfg_

* update

* update doc string

* rm abbr in build upsample layer

* update readme

* update model_zoo

* add link to other features in ReadMe

* Code for Paper "Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection"

* fix format

* changed the code according to the Changes requested

* update benchmark

* minor refactoring

* minor fix

* update model_zoo and support models

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

* add instaboost in coco.py

* Revert "add instaboost in coco.py"

This reverts commit 51af81ef88991782d54750761ef2dd394c7a38a8.

* add instaboost in data pipeline

* code format

* Update requirements.txt

* add README.md

* bug fix

* add link

* Update README.md

* install instaboost when necessary, keep r50 cfgs only

* ready to merge

* fix typo

* pass yapf

* minor formats

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

* add NASFPN

* minor fixes

* fix downsample, add norm to lateral

* update downsample and configs

* remove additional blank line

* update docs

* add benchmark

* minor fix

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

* use sphinx to generate docs

* fix flake8 linting

* update docs

* update to v1.0rc1

* update maintainers

* add foveabox support

* format

* fix

* foveabox correct

* fix mean and std in config

* add foveabox in model zoo

* fix work_dir, typo, fovea_target and config issues

* add necessary comments

* fix yapf issue in C1 check

* fix yapf issue in C1 check

* rename configs

* update model urls and minor fix

* fix config

* rm DS_Store

* add 28e

* update model url

* update model zoo

* update model zoo

* update model links

* update HRNet README

* update HRNet README

* remove .DS_Store

* update HRNet results

* update HRNet results and remove .DS_Store

* update FCOS results

* update HRFPN to support FCOS

* remove blank line

* remove blank line

* update Modelzoo

* update models

* update model url

* fix typo

* fix typo

* change name of backbones

* add 20e to cascade w18

* update url

* update readme

* add different datasets on model zoo

* Code for components of Libra R-CNN

* Configs and README for Libra R-CNN

* update bfp

* Update Model ZOO

* add comments in non-local

* fix shape

* update bfp

* update according to ck's comments

* update des

* update des

* fix loss

* fix according to ck's comments

* fix activation in non-local

* fix conv_mask in non-local

* fix conv_mask in non-local

* Remove outdated model urls

* refactoring for bfp

* change in_channels from list[int] to int

* refactoring for nonlocal

* udpate weight init of nonlocal

* minor fix

* update new model urls

* add two stage w/o neck and w/ upperneck

* add rpn r50 c4

* update c4 configs

* fix

* config update

* update config

* minor update

* mask rcnn support c4 train and test

* lr fix

* cascade support upper_neck

* add cascade c4 config

* update config

* update

* update res_layer to new interface

* refactoring

* c4 configs update

* refactoring

* update rpn_c4 config

* rename upper_neck as shared_head

* update

* update configs

* update

* update c4 configs

* update according to commits

* update

* add ga rpn

* test bug fix

* test bug fix with loc_filter_thr is large

* update configs

* update configs

* add ga_retinanet

* ga test bug fix

* update configs

* update

* init masked conv

* update

* update masked conv

* update

* support no ga_sampler

* update

* update

* test with masked_conv

* update comment

* fix flake errors

* fix flake 8 errors

* refactor bounded iou loss

* refactor ga_retina_head

* update configs

* refactor masked conv

* fix flake8 error

* refactor guided_anchor_head and ga_rpn_head

* update configs

* use_sigmoid_cls -> cls_sigmoid_loss; use_focal_loss -> cls_focal_loss

* refactoring

* cls_sigmoid_loss -> use_sigmoid_cls

* fix flake8 error

* add some docs

* rename normalize to norm_cfg

* update configs

* add readme

* update ga_faster config

* update readme

* update readme

* rename configs as r50_caffe

* merge master

* refactor guided anchor target

* update readme

* update approx mas iou assigner

* refactor guided anchor target

* update docstring

* refactor ga heads

* fix flake8 error

* update readme

* update model url

* update comments

* refactor get anchors

* update docstring

* not use_loc_filter during training

* add R-101 results

* update to support build loss api

* fix flake8 error

* update readme with x-101 performances

* update readme

* add a link in project readme

* refactor code about ga shape inside flags

* update

* update

* add x101 config files

* add ga_rpn r101 config

* update some comments

* add comments

* add comments

* update comments

* fix flake8 error

* use_sigmoid_cls -> cls_sigmoid_loss; use_focal_loss -> cls_focal_loss

* fix flake8 error

* cls_sigmoid_loss - > use_sigmoid_cls

* rename c4 configs

* update model zoo with c4 benchmark

* reorder c4 benchmarks

* update model zoo