* Add colab training tutorial

* Update tutorial codes and fix bug

* Clean files, refactor TBD

* Update tutorials

* Remove duplicated code

* Mv tutorial

* restructure unit tests

* fix paths

* update docstring formats

* fix :func:

* minor update

* change accuracy to positive recall in FSAF

* use mmdet accuracy module to calculate pos recall in fsaf

* Change label to long in unittest

* revise docstring according to comments

* revise docstring according to comments

* refactor anchor free detector

* add doc str

* fix fovea

* make consistent with previous version

* fix format

* fix format

* add version

* fix k and p

* 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 gfocal losses

* add gfl head, its related code, configs

* fix 2x config bug

* add most model and log in gfl README

* update gfl model and log

* Update transforms.py

modify variables  L, T, R, B   to  left, top, right, bottom

* Update gfocal_loss.py

modify variables into meaningful names:
* pt -> scale_factor
* a -> pos   b -> pos_label
* disl -> dis_left  disr -> dis_right
* wl -> weight_left  wr -> weight_right

* Update gfocal_loss.py

update formats

* remove duplicated get_bboxes/IoU calculation, make QFL consistent

* add all docstring in gfl_head.py and gfocal_loss.py

* rename regnet configs

* Further fix bugs

* Update 400MF

* fix name bugs in configs

* fix bn default

* 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

* Add PointRend

* remove PointExtractor

* add 1x 3x mstrain

* fixed test

* fixed test bug

* add README.md

* fixed doc string

* update doc

* update doc

* update comments

* fixed docs

* update docs

* change roi extractor

* update docstring

* minior update

* update docstring

* rename to mask point head

* simplify super

* move point head

* rename

* add doc

* fix some typos

* fix some doc

* fix property doc

* update doc

* complete free anchor doc

* 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>

* Add docstrings of core modules and methods

* Update docs and fix comments

* Complete docstrings

* Resolve comments

* reformat docstrings

* resolve comments

* Refactor GRoI to support concat mode

* add base roi extractor

* fixed num_inputs property

* update test

* add docstring

* update doc string and __init__ order

* update doc

* fixed test

* add default args

* clean legacy deprecated usage of register_module

* Update doc

* Use len(data['img_metas']) to indicate num_samples

* clean code

* switch to EpochBasedRunner

* add docstrings

* update the minimum version of mmcv to 0.6.0

* fix unit tests

* fix mmcv version in travis

* 123

* implement FCOS with tricks (FCOS_plus)

Train FCOS with four tricks (including center_sampling) arrording to official repo (https://github.com/tianzhi0549/FCOS).

without DCN:  mAP=38.6 (0.1 lower than official repo)
with DCN     :  mAP=42.5 (0.2 higher than official repo)

* fix

* fix

* reformatted

* fix configs & reformat

* add docstring

* Update fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_dcn_4x4_1x_coco.py

* add noqa: E501 since the url is too long

* fix flake

* fix flake

* fix yapf

* fix

* rewrite forward & reformat

* reformat & add docstring

* reformat

* reformat

* update docstring

* TODO: add unit test

Should be finished tomorrow

* add unit test

* fix

* fix docstring

* reformat

* add docstring

* reformat

* Update fcos_head.py

* Update fcos_head.py

* Update fcos_head.py

* Update fcos_head.py

* Update fcos_head.py

* Update test_heads.py

* Update fcos_head.py

* Update README.md

* add ae loss and gaussian focal loss

* update losses/__init__.py

* formatting

* Update __init__.py

* update losses

* add weighted_loss in gaussian_focal_loss

* rename AELoss, move comment to docstring

* fix formatting

* use BaseDenseHead

* use RPNTestMixin in rpn heads

* use self(x) instead of self.__call__(x)

* use kwargs

* add Hourglass and unittest

* code formatting

* fix bug

* rename and add docstring

* add unittest for ResLayer(reverse=True)

* update Hourglass

* update Hourglass, update unittest

* update docstrings, rename variables

* update hourglass and unittest

* update hourglass.py and res_layer.py

* save for debug

* add foreground dominate

* debug modify

* debug for mmdet

* small change

* small change

* bug fix

* bug fix

* add with_cp for basicblock of resnet, fixes #2887

* reformat code

* fix bugs

sorry but github edit is so hard to use......

* fix unittests

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>

* fixed vertical flip TTA

* fixed test

* add doc and one more check

* fixed docs

* Add cls weight in CrossEntropyLoss

* update unittes

* resolve comments

* fix unittest bug