* 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>

* add pat change

* fix grid roi head

* fix comments

* clean

* revert change

* update FSAF model zoo

* Add foreground_dominate argument to center region assigner

* Refine docs and fix format issues

* reformat

* fix mock

* Refine format

* Reorganize tutorials

* 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>

* processing ignore boxes in atss assigner

* formatting

* flake8 correct

* correct flake8 v2

* frommatting via pycharm

* OMG this is the last commit

* fix bug

* format

Co-authored-by: d.rybalchenko <d.rybalchenko@visionlabs.ru>
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* update docstring formats

* fix :func:

* minor update

* 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

* add doc

* fix some typos

* fix some doc

* fix property doc

* update doc

* complete free anchor doc

* Add docstrings of core modules and methods

* Update docs and fix comments

* Complete docstrings

* Resolve comments

* reformat docstrings

* resolve comments

* clean optimizer code

* remove duplicate test optimizer

* fix test_config error

* Deprecate DistOptimizerHook

* Deprecate DistOptimizerHook

* delete DeprecationWarning

* fixed vertical flip TTA

* fixed test

* add doc and one more check

* fixed docs

* save

* add retinanet and fix some inconsistent

* fix registry

* fix typos

* fix unmap bug

* fix some bugs

* clean

* minor fix

* fix k b

* add more cfgs

* fix detach

* add some benchmarks

* add some comments

* add more comments

* change test rpn proposal num

* add more models

* modify accroding comments

* more fix

* add pape link, fix some grammar error

* modify according to comments

* add unit test

* add unit tests for head

* fix some comments, add pape link

* add pisa roi head unittest

* fix README.md

* fix year

* use mmcv nightly in travis

* fixed doc

* Add links in docs

* Fix typo

* Fix unittest bug

Fixes memory leak, resolves #2670

* Allow different stride in x and y direction

* Fix bugs, pass tests

* Added new test

* Added extra test

* Correct docs

* Update docs, only square SSD

* pass tests

* Rewrite test

* add api doc

* update mock modules and fix requirements

* fix autodoc modules

* remove tmp file

* add release version in docs/conf.py

* fix docstring styles

* migrate to mmcv.cnn.bricks

* remove conv_module, scale, upsample

* update mmdet version and mmcv requirement

* fixed fsaf warning

* 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>

* starting to merge fsaf

* changed configs

* changed bbox_coder

* get_targets fun in AnchorHead class is modified to enable additional returns from _get_target_single

* effective area assigner and tblr bbox_coder are implemented

* added fsaf_head and config

* added more fsaf configs

* fixed the nan bbox_loss by clamping bbox_pred with min=1e-4

* fixed the nan bbox_loss by clamping bbox_pred with min=1e-4

* changed config

* formatter

* changed docstring

* Added ignored pixel-class pair for FSAF

* More elegant assignment for overlapping objects

* more documents in effective area assigner

* fixed a bug in object overlay

* Added no gt_bboxes case and pytest for assigner

* Added no gt_bboxes case and pytest for assigner

* changed default config

* fixed small bugs in FSAF head doc example

* resolved pr review comments.
1. Formats of comments and docstrings are modified
2. Obsolete arguments are removed from FSAFHead
3. AssignResults class is revised to be more compatible with old version

* Added more comments to FSAFHead

* resolved pr review comments

* resolved pr review comments
1. More flexible CenterRegionAssigner bbox priority
2. More flexible tblr_coder by adding normalize_by_wh flag
3. README modifications with model link
4. More docstrings and comments
5. Reformatted
6. Change of default normalizer in TBLRBBoxCoder from 1.0 to 4.0

* Corrected FSAF model path in readme

* Fixed the bug of bbox weights in fsaf head

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

* add model upgrade tool

* Add configs and scripts for converting v1.x models to v2.0

* add doc

* Add more models

* Pass CI

* Clean scripts and check model by config

* Resolve comments

* Resolve small comments

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

* rm bboxes[:,:4]

* Move the bbox size selection and check into iou2d_calculator

* Add bbox shape check in bbox_overlaps

* Validate the bbox sizes

* added background label to assign function

* fixed the background label as -1 in all assigners

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