GitLab

* add logger utils

* replace get_root_logger() and logger.info() with print_log()

* fix a typo

* minor fix for the format of StreamHandler

* update code

* reformat

* fix load pretrain bug

* reformat

* fix key warnings

* use build_conv_layer & ConvModule

* rm unrelated file

* fix resnext group bug

* change cfg to pass test

* use build_conv_layer to claim dcn in resnets

* change _version = 2

* MDCN to DCNv2

* change dependency of mmcv from 0.2.15 to 0.2.16

* resolve comments

* rm comments

* get_root_logger()

* 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

* collect env info for trouble shoting

* minor fix

* update the issue template

* fix the travis building

* update setup classifiers

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

* Add tests for NMS

* Fix linting errors

* Add DeviceGaurd to nms_cuda

* fix dpool

* add _pair in dpool func

* Update deform_conv_cuda.cpp

* Update deform_pool_cuda.cpp

* fix the imports in __init__.py

* update contribution guide

* add isort config

* use isort to sort imports

* add isort to travis

* restructure the ops directory

* add some repr strings

* Fixing build-errors on Windows (add some compile args, which are default on Linux)

* Fixing build-errors on Windows

* minor formatting

* Fixing errors on windows

1.Adding 'cxx' key for extra_compile_args
2.Adding type-cast to long for first parameter of THCCeilDiv facebookresearch/maskrcnn-benchmark#409
3.Ignoring resource setting on windows

* update the order of import statements

* Implement all extension building in main setup.py

* Remove old build files

* Adapt installation guide

* Refactor to comply with flake8

* Move imports into functions & refactor module paths

* Format setup.py with yapf

* Move cython/numpy import back to head of file

* Add note to use verbose mode for pip in INSTALL.md

* refactoring for losses

* update configs for guided anchoring

* add all imported losses to __all__

* allow weight=None for binary_cross_entropy

* use losses in mmdetection for FCOSHead

* bug fix for weight_reduce_loss

* add eps to iou_loss and handle weight=None

* unify loss api in FCOSHead

* fix avg_factor

* fix mask conv import error

* fix masked_conv cuda runtime error when mask is all zero

* add pytorch 1.1.0 SyncBN support

* change BatchNorm2d to _BatchNorm and call freeze after train

* add freeze back to init function

* fixed indentation typo in adding freeze

* convert SyncBN to BN when eval is called

* add gcb and configs

* fixed line too long

* fixed space and newline

* ignore too long line in config files

* two space before inline comment

* refactor var name

* fixed line too long

* changed SyncBN to backbone only and add non-Sync BN configs

* reformat config to adapt master branch

* reformat change method->type

* remoe some configs

* clean up readme.md

* add benchmark

* fix typo in README

* change sbn to syncbn

* change work dir

* refactor gcb

* fixed line too long

* Code formatting

* add two stage w/o neck and w/ upperneck

* add rpn r50 c4

* update c4 configs

* fix

* config update

* update config

* minor update

* mask rcnn support c4 train and test

* lr fix

* cascade support upper_neck

* add cascade c4 config

* update config

* update

* update res_layer to new interface

* refactoring

* c4 configs update

* refactoring

* update rpn_c4 config

* rename upper_neck as shared_head

* update

* update configs

* update

* update c4 configs

* update according to commits

* update

* add ga rpn

* test bug fix

* test bug fix with loc_filter_thr is large

* update configs

* update configs

* add ga_retinanet

* ga test bug fix

* update configs

* update

* init masked conv

* update

* update masked conv

* update

* support no ga_sampler

* update

* update

* test with masked_conv

* update comment

* fix flake errors
...

* Reformat use yapf 0.27.0

* Add yapf style file

Fixed error `TypeError: super(type, obj): obj must be an instance or subtype of type` .

* add cpp sigmoid focal loss

* modify interface

* format cpp code, support, fix pep8 error

* format cpp code as google style

* port nms extension from maskrcnn-benchmark

* fix linting error