GitLab

* 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* fix outdated docstring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

* fix OHEM with cascade_rcnn

* fix OHEM with cascade_rcnn

* delete space

* delete white space

* delete unused lib

* Delete cascade_rcnn_ohem_r101_fpn_1x.py

* fix unreasonable code

* fix Single quote

* fix code style

* fix code style

* fix file permission

* Update README.md

* Update inference.py

* Update README.md

* Update inference.py

Added mask visualization part for inferring.

* Update README.md

* Update inference.py

* Update inference.py

convert all tabs to spaces

* Update inference.py