* Categorize tools

* Update docs

* Rename tools

* Tool organization

* Update docs

* Remove spaces

* Update docs

* Delete mirror link

* add onnx simplify option

* resolve comments

* add warnings

* Update documentation about the modification of train_cfg/test_cfg

* Fix docs str

* Add docs str

* Add docs str

* update stat to classify papers

* modify tag of fp16

* 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.

* 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

* fix typo in doc

* update register

* also resolve #4334

* modify the count way of ckpts

* remove config statistics

* Add docstring for train.py/test.py/eval_metric.py

* Add docstring in the document

* Update docstring in the document

* Update docstring

* 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

* [doc]: add doc for pytorch2onnx

* [doc]: remove blank lines

* resolve format of doc

* refact doc for pytorch2onnx

* add space

* add to index.rst

* FPN deprecated warning

* FPN deprecated warning

* Add the documentation of batch inference and test

* Add the documentation of options cfg and eval cfg

* Modify the document description

* Add doc description spacer

* Update doc description

* Add markdown lint in pre-commit hook

* add markdown lint

* bump to v2.7.0

* update dates

* update version requirements

* rephrase

* resolve comments

* Add DETR readme.md

* update model zoo

* fix typo

* [docs] Add loss convention

* add example

* fixed backticks

* reduce code

* fixed lint

* Edit faq to add 30 series installation problem

* Update as per comment

* add stem_channels opt

* add ResNeSt

* fixed config

* fixed cascade config

* add precise BN

* add precise bn in test

* format precise bn

* update precise bn interval

* fixed eval config bug

* fixed precise interval

* change to return_loss=False

* add naive syncbn

* add naive syncbn

* rmo precise bn

* add range ms

* change to MMSyncBN

* add naive

* fixed loader

* reset test

* fixed faster config bug

* add no norm decay

* add baseline no norm decay

* set fronzen_stages=-1

* move import

* restore to official setting

* set to MMSyncBN

* update s101 pretrain

* update docs

* fixed config

* add backbone+head

* change fpn init

* add s101

* add s101

* revert fpn init

* add modelzoo, docstring, test

* fixed test

* fixed test

* add missing models

* update docstring

* add comment

* fixed markdownlint

Added instructions related to the docker version to ensure that user is not running into issues mentioned here https://github.com/NVIDIA/nvidia-docker/issues/1165

* add model stastics

* add modelzoo Statistics

* fix some title in READMD

* chmod

* update trouble shooting page to resolve segmentation fault

* resolve comments

* [Enhancement] Refactor Q&A

* fix typo

* fix cudatoolkit

* rename

* resovle cmts

* reanme

* fixed yaml

* add link

* bump to v2.6.0

* update version requirements

* Add README.md reference

* Fix README.md

* add rpn upgrade scripts for v2.5.0 compatibility

* rephrase docs