* update version to 1.1

* fix typo

* remove the version limit of ubelt

* Fix IOU assigners when ignore_of_thr > 0 and no pred boxes

* remove extra brakets

* fix test linter

* reset worker_seed

* fix isort

* minor fix

* fix comment

* Fix issue with list of metrics in CustomDataset.evaluate

Changes to be committed:
modified:   mmdet/datasets/custom.py

* Updated to evaluate only one of mAP or recall

Changes to be committed:
modified:   mmdet/datasets/custom.py

* add carafe ops

* rename carafe benchmark

* grad check fix

* update grad check

* update grad check output

* add fpn carafe & mask head carafe

* add ReadMe

* update readme

* add carafe setup

* update naive carafe

* update readme and setup

* readme typo fix

* fix flake8 error

* fix flake 8 error

* fix flake 8

* fix flake 8 more

* flake 8 fix plus

* flake 8 fix

* fix flake 8

* reformat ops files

* update fpn files and cfgs

* update readme

* update fcn_mask_head

* update fpn_carafe

* update kernel

* update

* update

* add docstring in FPN_CARAFE

* reformat with yapf

* update

* update

* add build upsampler

* fix mask head build error

* reformat build upsample layer

* add doc string for CARAFE and PixelShuffle

* update

* update upsample_cfg_

* update

* update doc string

* rm abbr in build upsample layer

* update readme

* update model_zoo

* add link to other features in ReadMe

* fix (dpool): directly return empty if rois's length is 0

* fix (dpool): also skip empty when no_trans=True

* reformat (test/test_dpool.py): reformat to pass flake8

* fix (test_dpool): skip gpu test when GPU is not avaliable

* rm (test_dpool.py): rm test_dpool since it is not very necessary in CI

* fix workflow problem

* import sort

* update pipeline

* fix (uint8 index warning): use bool for inside flags

* fix (unint8 index): convert to bool in the final to avoid 1.1 constriant

* fix (unmap): convert inds in unmap to be bool type

* fix roi align device bug

* add device guard to more ops

* nms guard is duplicate

* speed up sampler

* remove unused numpy

* add complete doc

* Use official DDP to implement MMDDP

* update mmcv requirement

* Update the version of MMCV

Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* log meta

* move collect_env to mmdet/utils

* fix import error

* fix isort

* add dash line after env info

* add soft_nms_cpu

* remove cython dependency

* merge soft_nms_cpu.cpp into nms_cpu.cpp

* add docs

* fixed typo

* fixed typo

* fixed typo

* move evaluation part to datasets

* use dataset.evaluate() in testing scripts

* remove redundant codes

* fix some log formats

* update config with evaludation

* move evaluation below dataset

* remove coco_utils.py and fix test_robustness

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* fix worker_init_fn in data_loader if set seed

* fix import order

* add reppoints without gn

* fix

* add logger utils

* replace get_root_logger() and logger.info() with print_log()

* fix a typo

* minor fix for the format of StreamHandler

* bump version to 1.0.0

* fix typos

* update the version in docs

* use git repo instead of pip wheels

* install pycocotools before building mmdet

* fix travis installation

* options for mask during testtime

* handle comments

* Enhance AssignResult and SamplingResult

Add runtime dependency on ubelt (pending approval)

Fix issue in SamplingResult.__init__

Add rng as attribute of RandomSampler

* fix linters

* remove ubelt

* Fix linters

* fix linters again

* reorganize requirements, make albumentations optional

* fix flake8 error

* force older version of Pillow until torchvision is fixed

* make imagecorruptions optional and update INSTALL.dm

* update INSTALL.md

* Add note about pillow version

* Add build requirements to install instructions

* update code

* reformat

* fix load pretrain bug

* reformat

* fix key warnings

* use build_conv_layer & ConvModule

* rm unrelated file

* fix resnext group bug

* change cfg to pass test

* use build_conv_layer to claim dcn in resnets

* change _version = 2

* MDCN to DCNv2

* change dependency of mmcv from 0.2.15 to 0.2.16

* resolve comments

* rm comments

* get_root_logger()

* Code for Paper "Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection"

* fix format

* changed the code according to the Changes requested

* update benchmark

* minor refactoring

* minor fix

* update model_zoo and support models

Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* First Draft

On branch non-color-images
Changes to be committed:
modified:   mmdet/datasets/pipelines/loading.py

* Add option to load non color images

Add 'color_type' parameter to LoadImageFromFile class
Change __repr__ method accordingly
Since non-color images maybe two dimensional expand image
dimensions if necessary in DefaultFormatBundle and
ImageToTensor classes

Changes to be committed:
    modified:   mmdet/datasets/pipelines/formating.py
    modified:   mmdet/datasets/pipelines/loading.py

* Fix RandomCrop to work with grayscale images

Changes to be committed:
    modified:   mmdet/datasets/pipelines/transforms.py

* Modify retrieving w, h of padded image in anchor heads

This addreses problems with single channel images for which the
shape is  tuple with 2 values

Changes to be committed:
    modified:   mmdet/models/anchor_heads/anchor_head.py
    modified:   mmdet/models/anchor_heads/guided_anchor_head.py
    modified:   mmdet/models/anchor_heads/reppoints_head.py