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.

* 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.

* 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

* 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

* Albumentations wrapper

* 2 single quote format

* version >= 0.3.2

* Add in_channels kwarg to backbones

* explicit import in HRNet doctest

* Add doctest example for resnet and resnext

* Explicit import in doctests

* Fix missing torch import in doctest

* add foveabox support

* format

* fix

* foveabox correct

* fix mean and std in config

* add foveabox in model zoo

* fix work_dir, typo, fovea_target and config issues

* add necessary comments

* fix yapf issue in C1 check

* fix yapf issue in C1 check

* rename configs

* update model urls and minor fix

* Enable doctests in CI with xdoctest

* use xdoctest in travis file

* Fix doctest warnings

* dont test eggs directory

* Ensure xdoctest is installed before running CI

* Pass device to grid_anchors and valid_flags

* fix yapf formatting

* Fix #1223

#1223  is caused by extra > len(indice), so I add a loop to properly pad the indice list. I also changed the list concatenation from ```+=``` to ```.extend```.

* Update sampler.py

style