GitLab

* Code for components of Libra R-CNN

* Configs and README for Libra R-CNN

* update bfp

* Update Model ZOO

* add comments in non-local

* fix shape

* update bfp

* update according to ck's comments

* update des

* update des

* fix loss

* fix according to ck's comments

* fix activation in non-local

* fix conv_mask in non-local

* fix conv_mask in non-local

* Remove outdated model urls

* refactoring for bfp

* change in_channels from list[int] to int

* refactoring for nonlocal

* udpate weight init of nonlocal

* minor fix

* update new model urls

* 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
...

* support HRNet

* add zip

* remove zip files

* remove zip datasets in config

* modify format and shorten lines

* fix line to long

* support conv_cfg and update conv layer

* revise the backbone network and neck

* update format and pretrained mode

* fix flake8 error

* update modules following review suggestions

* revert some changes for adapting to pretrained models

* update hrnet and hrfpn

* remove unused import

* remove unused import

* finish testing

* change pretrained model link to open-mmlab

* fix docstring and convert models

* update README and model links

* modify configs and README

* support loss evaluator

* update model urls

* format hrnet.py

* format hrfpn.py

* add 20e for cascade config

* Fix license in setup.py

* Add code for loss evaluator

* Configs support loss evaluator

* Fix a little bug

* Fix flake8

* return revised bbox to reg

* return revised bbox to reg

* revision according to comments

* fix flake8

* Reformat use yapf 0.27.0

* Add yapf style file

* update the high-level inference api

* save classes in meta data and use it for visualization

* add fcos

* use P5 instead of C5

* add relu before extra convs in FPN

* add singleclass_nms, use caffe2 lr

* fix log interval

* use caffe2init and relu in extra layers

* fix scale layer, use p5 instead of c5

* fix focs target

* refactor code

* delete useless file

* clean

* refactor code

* change num_classes to cls_out_channels

* fix bug of in get_bboxes

* fix bug in test

* add r101 2x cfg

* ms use value mode, add x101-64x4d cfg

* add more comment and rename some variable

* rename centers to points, modify doc string of distance2bbox

* add fcos detector, replace frozen with requires_grad

* add README.md

* add r101-1x performance, rename cfg, add detector FCOS

* update fcos r50 2x performance, remove fpn caffe2 initialize

* fix flake8 error

* rename cfg

* fix grammar error of some comments

* minor fix comment

* change work_dir to be consistent with config name

* add FCOS support in README

* 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

* use SyncBN protect member func to set ddp_gpu_num

* Update README.md

update pytorch version to 1.1

* support param-wise optimizer settings

* fix outdated docstring

* minor fix for param checking

* use_sigmoid_cls -> cls_sigmoid_loss; use_focal_loss -> cls_focal_loss

* fix flake8 error

* cls_sigmoid_loss - > use_sigmoid_cls

* rename normalize to norm_cfg

* update configs

* Update resnet.py

* rewrite multigpu testing with mmddp

* fix an indent

* update slurm testing script

* update readme and scripts

* use different configs for proposal train/test

* update configs for dcn

* update inf speed

* update inf speed in dcn, gn, htc

* update comparision

* keep backward compatibility

* fix a bug in basicblock

* fix padding and dilation in basic block

* remove stride and dilation in conv2

* support GN in RetinaHead

* add conv_cfg argument for RetinaHead

* add model upgrading tool and update retinanet model urls

* minor fix for regex strings

* add support for weight standardization

* add ws support for htc heads

* add a config file for 20-23-24e lr schedule

* update readme of weight standardization

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

* add HybridTaskCascade

* add configs for other backbones

* add keep_ratio argument for segmap transform

* add readme for HTC

* fix linting errors

* split assign and sampling as in Cascade R-CNN

* remove unused imports

* add a large model

* update htc

* 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

* implement _init_dist_slurm()

* add slurm train/test scripts

* fix linting error

* minor fix

* 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