* Add type of runner in configs

* fix missing config

* sup customize runner

* fix typo

* use build runner

* minor fix

* modify according to comments

* add an assertion

* swap order

* fix tutorial

* Move train_cfg/test_cfg into model

* fixed fsaf

* fixed missing

* fix #4181, invalid link in readme for maskrcnn cityscapes

* undo

* get the last epoch from config

* read eval metrics from the config key

* read the latest log from multiple logs

* use lower case of RESULTS_LUT

* handle evaluation key with VOC dataset case

* toy

* move the position of scipy import

* move the position of scipy import

* fix invalid link of config in faster_rcnn

* FPN deprecated warning

* FPN deprecated warning

* Update pretrain model url

* Fix pretrain model base url

* Add specific class pre-trained models

* Fix isort error

* Update doc description

* Update model url

* Rename config

* Rename config

* Add markdown lint in pre-commit hook

* add markdown lint

`num_classes` in model should be the same as the number of dataset class

* add faster rcnn C5

* add trained faster rcnn C5 model url

* fix typos

* update based on 1-st comments

* update unittest for ChannelMapper

* small changes of ChannelMapper's docstring

* small changes of ChannelMapper's docstring

* fixed typos

* replace url with download

* update to http

* 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>

* Update links

* clean empty link

* add 3x link

* Update model links

* clean scripts

* fix typo

* update model_zoo url

* update mmcv version requirement

* Update model performance

* Update performance

* Fix unsaved change

* add conflict check

* fix bug for coco person subset

('person') will be parsed as string.
It should be a tuple

* reformat

pass CI

* 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

* add compare table fix model_zoo.md

* fix some typos

* minor add

* minor update

* add link for mmdet

* minor update

* 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>

* support to train subsets of coco dataset

* add template config

* Add docstrings

* Refactor (classes): modity API to be consistent with PR 2408

* Add support for buildin datasets

* Merge V2.0 and pass all unittest

* Fix (template configs)

* Refactor (subset): change function names

* Refactor (custom_classes): add subset check

* Filter instance during training by self.CLASSES

* Fix comments

* Raise error when classes is in unsupport type

* Refactor: put call of get_subset_by_classes in custom.py

* Modify test_dataset to pass CI

* Fix custom_classes bug

* rename clean_data_infos to subset_data_infos

* Refactor (training cfgs): change default training settings for better performance

* Change RoIAlign sample num & caffe img norm

* Refactor (LR): change 1/1000 to 0.001

* create roi_head

* create roi_head
mv shared_head into roi_head

* fix conflict

* refactor(cascade rcnn): create cascade head in roi head, simplify cascade rcnn

* type: fix
scope: cascade_head
subject: mv stage_loss_weight from train_cfg to roi_head creation

* type: fix
scope: roi_heads
subject: handle the case when train_cfg is None

* type: fix
scope: roi_heads mask inference
subject: fix test_cfg.rcnn bug to test_cfg

* fix mask eval bug

* refactor(double_head): refactor double head roi head

* fix(double_head): clean code and fix __init__.py

* refactor(mask scoring): create mask scoring roi head

* refactor(htc_head): add htc_head

* fix(htc_head): add htc_head in __init__.py

* fix (htc_head): fix htc_head bugs

* fix (ms_roi_head): rm test_cfg.rcnn to test_cfg

* feature (grid rcnn): grid roi head

* fix (grid_head): fix grid head bug

* reformat and change all cfgs

* reformat (roi_head): reformat __init__.py for isort=4.3.21

* fix roi_head test bug

* fix (carafe): change carafe cfgs to use roi_head

* fix (roi_head): fix missing roi_head refactor

* reformat to pass CI

* test all cfgs

* match keys of configs with previous commit 77d073a

* add and pass unittest for all roi heads

* Refactor (roi_head): extract abstract base class for roi head

* Refactor (roi_head): refactor init functions

* Refactor (roi_head): weight init

* Refactor (roi_head): add _bbox_forwrd & _mask_forward as basic functions

* Fix (grid_roi_head): fix bug in bbox_forward_train

* Refactor (roi_head): change to use img.device in forward_dummy)

* Refactor (roi_heads): simplify init functions and _mask_forward

* Fix (cascade_roi_head): fix init bug of cascade roi_head

* Refactor (roi_head): use dict as outputs of _bbox_forward and _mask_forward

* Refactor (test_config): scan valid configs rather than list them all

* delete work_dir in all configs

* add comment on work_dir priority

* add new config sample and check scripts

* context managere to prevent import

* refactor backbone, add caffe

* add fast rcnn

* all basci config done

* rm coco_proposal

* add scratch, wider_face, voc

* add reppoints

* delete device id, auto resume

* add libra_rcnn, ms_rcnn, nas_fpn

* add hrnet, fcos

* add free_anchor, gn, grid_rcnn, guided_anchoring, gcnet, ghm, gn+ws

* finished all, but some need refactor and unified logic

* fixed albu

* update ReseNet101

* reduce ResNet101, add norm_cfg, 4conv1fc

* refactor caffe backbone

* merge act_cfg, dcn from master

* rename 2fc head, add 4conv1fc head

* delete 4con1fc model

* rename components -> _base_

* flatten _base_

* refactor _base_ structure

* refactor config structure

* reduce _base/models

* rename all config

* add _coco inside configs

* fixed _coco in files

* fixed albu in test

* migrate to new sys

* fixed test

* fixed test

* rm cascade, fast_rcnn

* rm cascade, fast_rcnn from _base_

* fixed fcos_center

* rename from rule

* collopse third party model

* fixed test

* fixed some minor bug

* rename gn-neck_head -> gn-neck+head