* refactoring mAP evaluation

* fix logger type

* per class color in mask rcnn

* fix max label id

* pass flake8

* correct the annotation

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

* add crop seg to RandomCrop trans

* minor fix comment

* add NASFPN

* minor fixes

* fix downsample, add norm to lateral

* update downsample and configs

* remove additional blank line

* update docs

* add benchmark

* minor fix

Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* init logger before constructing Runner

* use mmdet logger for loading checkpoints

* bug fix for abstract methods

* use sphinx to generate docs

* fix flake8 linting

* update docs

* Split seg trans

* Modify cfg

* fix typo

* Allow for images to contain zero true detections

* Allow for empty assignment in PointAssigner

* Allow ApproxMaxIouAssigner to return an empty result

* Fix CascadeRNN forward when entire batch has no truth

* Correctly assign boxes to background when there is no truth

* Fix assignment tests

* Make flatten robust

* Fix bbox loss with empty pred/truth

* Fix logic error in BBoxHead.loss

* Add tests for empty truth cases

* tests faster rcnn empty forward

* Skip roipool forward tests if torchvision is not installed

* Add tests for bbox/anchor heads

* Consolidate test_forward and test_forward2

* Fix assign_results.labels = None when gt_labels is given; Add test for this case

* Fix OHEM Sampler with zero truth

* remove xdev

* resolve 3 reviews

* Fix flake8

* refactoring

* fix yaml format

* add filter flag

* minor fix

* delete redundant code in load anno

* fix flake8 errors

* quick fix for empty truth with masks

* fix yapf error

* fix mask padding for empty masks

Co-authored-by: Cao Yuhang <yhcao6@gmail.com>
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* fix the return value of ga_shape_target_single

* fix the code format

* add GN support for flops computation

* remove useless lines

* modify the flops computation for gn

* async inference support

* implemented concurrent decorator

* fixes for Python versions < 3.7

* async methods depend on python version

* revert changes in forward method

* async_test -> async_simple_test, debug logging is done via logger.debug

* add async test

* add asynctest to test requirements

* async tests are run in Python 3.7

* check CUDA, add docs

* fix device

* run test only if CUDA is available

* fix linting

* custom operators can run on nondefault stream

* set current stream in kernel launch configuration

* example fixes

* add async/sync interface comparison benchmark

* fix linting

Fix loader for images with no proposals

* collect env info for trouble shoting

* minor fix

* update the issue template

* fix the travis building

* update setup classifiers

* Remove keep all stage code

* remove keep_all_stage in config

* update to v1.0rc1

* update maintainers

* add multi nodes distributed test support

* fix bug in htc.py when keep_all_stages turn on

* remove package imported but unused in test.py

* reformat code in test.py

* support both cpu & gpu for gathering

* reformat

* clean code, add doc

* add docstring

* reformat doc string

* fix scale factor bug

* reformat

* clean code

* fix oom when there are too many gts

* add gpu_assign_thr

* add gpu assign thr to approx max iou assigner

* upgrade yapf format

* reformat for yapf0.29

* fix conflicts of yapf and flake8

* flake 8 is prior than yapf

* Fix issues on no ignore boxes specified

* add check during loading

* change back

* change transform.py back

* fix box_filed bug & reformat

* use append rather than extend

* add FreeAnchorRetinanet

* fix std

* refactor code

* add cfg

* fix bug in cfg

* add annotation and clean

* add readme

* fix isort error

* replace clip with torch.clamp

* fix init typo

* refactoring

* clean

* update benchmark

* rename and delete some var

* minor fix

Change pad_d to pad_w at line 821 in deform_conv_cuda_kernel.cu, which is a typo.

cache pip,
use 'before script' as it done in mmcv,
see https://github.com/open-mmlab/mmdetection/issues/1658