* 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

* use_sigmoid_cls -> cls_sigmoid_loss; use_focal_loss -> cls_focal_loss

* fix flake8 error

* cls_sigmoid_loss - > use_sigmoid_cls

* rename c4 configs

* update model zoo with c4 benchmark

* reorder c4 benchmarks

* update model zoo

'mask' option has been removed & replaced with 'segm'

* add tool to analyze log

* minor fix

* plot multi keys, use subparser, modify code

* add two method add_plot_parser and add_time_parser, minor fix

* minor fix

* move add parser func outside main

* move subparser.add inside add parser func

* 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* fix outdated docstring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

fix bug of show_result

* 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

change frozen to requires_grad for clear behavior

* update installation guide

* fix typo

* update conda python version from 3.6 to 3.6

Fix typo in README.md

Update readme and tutorials

Reorg model zoo and configs

* fix a bug in basicblock

* fix padding and dilation in basic block

* remove stride and dilation in conv2

* compared with maskrcnn-benchmark instead detectron.pytorch, delete some outdated sentences

* add memory data

* Update MODEL_ZOO.md

* delete some wrong sentences

* fix speed in comparison section

* minor fix

* new model zoo

* update model url and performance

* update pytorch version

fix typo in MODEL_ZOO on Mask R-CNN

* support GN in RetinaHead

* add conv_cfg argument for RetinaHead

* add model upgrading tool and update retinanet model urls

* minor fix for regex strings

Check dataset type by subclass instead of names

Bug fix for freezing BN parameters

Add a tool to process models to be published