* Move train_cfg/test_cfg into model

* fixed fsaf

* fixed missing

* Add markdown lint in pre-commit hook

* add markdown lint

* fixed typos

* replace url with download

* update to http

* Add upsample_cfg support in FPN

* small fix

* Add multiple extra conv sources

* small logical fix

* Add neck tests for fpn

* Add neck tests for fpn

* fixed several typos

* resolved issues

* Removed extra_convs_source option

* added necks to apis.rst

* change according to comments

* add bbox_fields to expand and min iou crop

* reconfigured configs

* small fix

* added test for random crop and min iou random crop

* small change

* added valid_inds for masks in random crop according to #2802

* added config unit test

* deleted nas fpn config test

* revise according to comments

* add img_fields check in transform.py and test_transform.py

* Added notes for random crop and min iou random crop

* Added notes for random crop and min iou random crop

* Add bbox2label and bbox2mask key correspondence

* Update nas-fpn model
Add fsaf log

* 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 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>

* fixed configs, add bypass_duplicate option

* rename _is_disjoint to _is_in

* 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

* rename api

* Refactor (APIs): rename imgs_per_gpu to samples_per_gpu

* Clean files

* Refactor (infos): rename self.infos to self.data_infos

* 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

* add norm_cfg in ResNet pytorch backbone

* delete redundent fields

* move evaluation part to datasets

* use dataset.evaluate() in testing scripts

* remove redundant codes

* fix some log formats

* update config with evaludation

* move evaluation below dataset

* remove coco_utils.py and fix test_robustness

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