* 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>

* 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>

* fix typo in docs and docstring

* update launch utility url

* Add colab training tutorial

* Update tutorial codes and fix bug

* Clean files, refactor TBD

* Update tutorials

* Remove duplicated code

* Mv tutorial

* update docstring formats

* fix :func:

* minor update

* Create model file

* Update README.md

* update model url

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

* fix bbox_loss in fovea_head.py when num_pos=0

* Remove PIL from .isort.cfg

* Make loss_bbox scalar in fovea_head.py when num_pos==0

* Sum based reduction for loss_bbox in fovea_head

* reverting to scalar implementation

* refactor resnet, add deep_stem and avg_down opt

* move args into kwargs

* add default

* mv resnetv1d to resnet

* fixed res_layer

* add base_channels

* add doc

* add tests

* update test

* fixed backbone block conv_cfg/norm_cfg

* add test

* add tests

* add onnx convert script

* upload pytorch2onnx.py

* restore config

* set use_torchvion on-the-fly, update doc

* update doc

* support pass input

* fixed passes

* reimplement cityscapes

* fixed gt bbox mode

* convert cityscapes to coco style, add cityscapes eval

* add cityscapes convert script

* add doc

* Update INSTALL.md

* Update INSTALL.md

* update fater rcnn

* fix cityscapes eval

* support format only in cityscapes

* add docs

* remove redundancy

* resolve eval

* update cityscapes md

* more doc and rename

* update doc and cfg

* change to test set

* add soft_nms_cpu

* remove cython dependency

* merge soft_nms_cpu.cpp into nms_cpu.cpp

* add docs

* fixed typo

* fixed typo

* fixed typo

* add GN support for flops computation

* remove useless lines

* modify the flops computation for gn

* collect env info for trouble shoting

* minor fix

* update the issue template

* fix the travis building

* update setup classifiers

* update to v1.0rc1

* update maintainers

* Added pre-commit hook

* Trigger CI

* add isort config

* use isort to sort imports

* add isort to travis