* add CompatibleCheckHook

* check val

* add docstr

* move hook to default runtime

* add unitest

* fix a typo

* fix unitest

* update docs

* add check for CLASSES is None

* fix doc

* Categorize tools

* Update docs

* Rename tools

* Tool organization

* Update README.md

* Update README.md

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

* Update docs

* Remove spaces

* Update docs

* Delete mirror link

* use reduce pos and denorm

* add cfg

* fix cfg

* fix pt1.6

* update link

* clean

* add legacy cfg

* clean cfg

* update readme

* fix zero pos

* update url

* fix: mask resize

* test: mask resize

* chore: fix lint

* Update benchmark filter

* Add convert script

* Delete some cfg

* Add --run option

* add onnx simplify option

* resolve comments

* add warnings

* draft version train and test

* remove get_bbox in sparse_head

* refactor SparseRCNN model, align inference eval mAP with official repo

* add focal_loss in hungarian_assigner.py

* update hungarian_assigner.py

* update detr config

* update doc and codes

* fix unitest

* fix unitest

* add embedding_rpn and traing code

* modify code format

* fix proposalist in simpletest

* add focal loss traing

* fix acc

* fix reduce mean

* add embedding rpn doc and add show initproposals

* add docstr

* fix backbone lr

* fix typo and change detach_proposal_list to proposal_list

* remove debug assert

* add readme

* add config for random crop when use 300 proposals

* add aug for 300 proposals

* add 300 proposals results and fix docstr

* add 1x results

* fix lint

* fix unitest

* fix docstr of embeddingrpn

* fix according to the comments

* fix get_bbox and a bug of dynamic conv

* support cpu focal loss and fix docstr

* fix docstr

* fix unitest

* fix bug of  init_weight

* fix to device in assign

* fix all commemt

* fix test_config

* remove dim 1 in forward

* fix shape in comment

* fix the case that train_cfg is None

* fix shape of docstr

* fix docstr

* fix typo

* simplify test

* fix docstr

* move train_cfg and test_cfg to model as

* fix unitest

* add link of ckpt and log

* fix 1x results

Co-authored-by: tianyuandu <tianyuandu@gmail.com>
Co-authored-by: fangkairen <fangkairen@sensetime.com>

* [Bug fix] Fix order of nms score_factor

* add comment

* Fix tag

* Fix DCN tag

* Update tag

* New Add ResultEvaluate

* Update ResultVisualizer

* Delete debug code

* Add Loading related pipeline

* 1.Move retrieve_loading_pipeline to dataset.util
2.Support display GT mask
3.Support display GT mask and det mask for visualize fn

* Use gt_mask.to_ndarray()

* Refactor analyze_results.py

* Fix docs str

* Logger is silent and add progressBar

* Fix lint

* Fix docs str and other comment

* Fix docs str

* Fix docs str

* Fix docs str and add unit test for mask2ndarray

* Update documentation about the modification of train_cfg/test_cfg

* Fix docs str

* Add docs str

* Add docs str

* Move train_cfg/test_cfg into model

* fixed fsaf

* fixed missing

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

* undo

* add more detailed docstring for `reg_decoded_bbox` in related bbox heads

* reformat

* reformat

* update stat to classify papers

* modify tag of fp16

* support multi ious eval

* fix type

* FPN deprecated warning

* FPN deprecated warning

* Support DefaultFormatBundle in image_demo

* Fix Multi-Scale error, ref： https://github.com/open-mmlab/mmsegmentation/pull/276

* Rename variable name

* FPN deprecated warning

* FPN deprecated warning

* Replace imshow_det_bboxes visualization backend

* Add bbox_vis unit tests

* Encapsulate color_val_matplotlib function

* Add fun input parameters

* Deprecate block

* Add mask display in image

* Putting the text inner left corner the bbox

* Add a filling color for text regions.

* Update color docs

* Fix color docs

* Update color docs and Fix default param

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

* undo

* Update customize_dataset.md

* Update config modification setting

* add doc for checking annotations of the new customized dataset

* reformat

* re-add docs for customized dataset

* Update customize_dataset.md

* use a cascase maskrcnn model as example to replace retinanet

* reformat

* reformat

It did not contain the checkpoint download step.

* fix issues 4021

* fix issues 4372

* clean comma

* fix according to commet

* Add batch inference docs

* Update batch inference docs

* Update docs

* Add cpu compatibility info

* Add table about not support CPU only model info

* Update docs about not support CPU only model info

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

* undo

* re-organize tutorial for exist_data_new_model

* reformat

* reformat

* remove unnecessary

* update tridentnet model links

* fix log postfix

* fix typo in doc

* update register

* also resolve #4334