GitLab

* fix scale factor bug

* reformat

* clean code

* fix oom when there are too many gts

* add gpu_assign_thr

* add gpu assign thr to approx max iou assigner

* upgrade yapf format

* reformat for yapf0.29

* fix conflicts of yapf and flake8

* flake 8 is prior than yapf

* Fix issues on no ignore boxes specified

* add check during loading

* change back

* change transform.py back

* fix box_filed bug & reformat

* use append rather than extend

* add FreeAnchorRetinanet

* fix std

* refactor code

* add cfg

* fix bug in cfg

* add annotation and clean

* add readme

* fix isort error

* replace clip with torch.clamp

* fix init typo

* refactoring

* clean

* update benchmark

* rename and delete some var

* minor fix

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

cache pip,
use 'before script' as it done in mmcv,
see https://github.com/open-mmlab/mmdetection/issues/1658

* Clip proposal boxes to valid range in single_mask_target

* Fix the clipping value in mask_target_single

* Fix simple_test for base and fast_rcnn detector

* Add test of detector forward methods

* Revert forward_test change and add docs indicating expected inputs for forward

* fix linter

* Update GETTING_STARTED.md

Found out that this method is required. The torch.nn.Module doesn't contain this method thus you need to implement it

* update docstring 

see https://github.com/open-mmlab/mmdetection/issues/1582

* correct for flake8

* flake8: trailing space has removed

* prevent silent skip of validation #1594

see https://github.com/open-mmlab/mmdetection/issues/1594

* correct for flake8

* Add tests for NMS

* Fix linting errors

* Add DeviceGaurd to nms_cuda

Allows to use not only 0.5 probability.

* Fix bug: index out of range when num_extra < len(indice)

* Fix bug: index out of range when num_extra < len(indice)

* formatter code

Add print of area range to each metric table.
Now metrics are looking better.

Found out that this method is required. The torch.nn.Module doesn't contain this method thus you need to implement it

* also support to view ap

* change string format

* eval class_wise in coco_eval

* reformat

* class_wise API from detectron

* reformat

* change code source

* reformat, use terminaltable

* Fix GHM loss on CPU

* Fix SSD head on CPU

* Still work if no img_prefix specified

* Update default param to be empty string

* Add seg transform to Expand and MinIoUCrop

* fix bug of repr

* test that all configs can be loaded

* Use in_channels correctly in anchor_head and guided_anchor_head

* Fix lint errors. Only tests a subset of configs

* remove local config

* fix yapf

* Remove slower tests

* Remove debug code

* trigger travis

* Added pre-commit hook

* Trigger CI

* update Travis build

* freeze pytorch 1.2

* Install the latest pytorch instead of 1.2

* Revert "Install the latest pytorch instead of 1.2"

This reverts commit d269d2144f9c3b00816b00c31b2b7aa0c5c595f7.

* Delete transforms.py

* Delete extra_aug.py

* Update __init__.py

* Expand docs

* Fix flake8 errors

* Clarify Collect docstring

* revert to the original version

* Doctests for AnchorHead and related code

* Fix flake8 error

* resolve review on transforms.py

* Resolve comments

* resolve commend about foreground classes

* Add reference about bounding box delta encoding