GitLab

* update some docs

* update the lr adjusting rule

* fix bug of ce loss when reduction != mean

* change function order

* modify comment

* minor fix

* add reduction_override flag

* change default value of reduction_override as None

* add assertion, fix format

* delete redudant statement in util

* delete redudant comment

* Add support of the wider face dataset

* Update readme

* Prevent ignoring boxes in test mode

* Rename wider to wider_face

* Rename configs for wider face

Support segm evaluation using different score from bbox det

Add technical report link in readme

Fix retinanet r50 2x model error

* fixed a bug which causes merged_proposals are only from a certain scale of proposals in aug_test_rpn

* add a comment and modify _img_metas to aug_img_metas

* Update Libra R-CNN Benchmark

* fix bug in balanced_l1_loss

* Set LOCAL_RANK in script.
Fix multiple checkpoint download bug
Signed-off-by: innerlee <363664470@qq.com>

* beautify
Signed-off-by: innerlee <363664470@qq.com>

* 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

* Update losses.py

* Update losses.py

Signed-off-by: innerlee <363664470@qq.com>

* fix mask conv import error

* fix masked_conv cuda runtime error when mask is all zero

Signed-off-by: innerlee <363664470@qq.com>

* update configs and related code

* remove debug info

* fix style issues

* fix unnecessary changes

* move generalized_attention.py from ops/dcn to models/plugins

* change the arguments name of generalized attention, add related description and update resnet backbone

* revert the change of weight_init.py

* format touched files by yapf

* change default data_root

* update code for passing flake8 test

* delete unnecessary __init__.py

* Change the argument order of resnext.__init__()

* remove constant_init

* simplifying the init of generalized_attention module

* remove unused import

* format the code

* change the name of config folder, add more configs, add README.md

* rename num_head to num_heads

* minor formatting

* code formatting for guided_anchor_head.py

* bug fix for using multi_apply

* Fix bugs in the configs of Libra R-CNN

* return configs to 2000 props

* return configs to 1000 props

* 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

update init_detector() & inference_detector() parameter

* finish ghm in newest verion with AP 37.0

* add ghm config file

* reformat for PEP8

* reformat for flake8

* add documents for GHM and tensorize the params

* improve the docs

* add readme and update configs