* reimplement cityscapes

* fixed gt bbox mode

* convert cityscapes to coco style, add cityscapes eval

* add cityscapes convert script

* add doc

* Update INSTALL.md

* Update INSTALL.md

* update fater rcnn

* fix cityscapes eval

* support format only in cityscapes

* add docs

* remove redundancy

* resolve eval

* update cityscapes md

* more doc and rename

* update doc and cfg

* change to test set

* update pre-commit hook config

* fix styles conflicting with pre-commit hooks

Need to specify --format-only rather than --out in order to actually get .json output

* add optimizer registry

* move under core, add doc

* unexpose TORCH_OPTIMIZERS

* update version to 1.1

* fix typo

* remove the version limit of ubelt

* 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

* 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>

* 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

* 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

* 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>

--- def forward(x):  # should return a tuple
+++ def forward(self, x):  # should return a tuple

* add instaboost in coco.py

* Revert "add instaboost in coco.py"

This reverts commit 51af81ef88991782d54750761ef2dd394c7a38a8.

* add instaboost in data pipeline

* code format

* Update requirements.txt

* add README.md

* bug fix

* add link

* Update README.md

* install instaboost when necessary, keep r50 cfgs only

* ready to merge

* fix typo

* pass yapf

* minor formats

Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* add doc for setting slurm port

* update default

* add instruction for port

* add evaluate interval

* update docs

* fix typo

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

* add NASFPN

* minor fixes

* fix downsample, add norm to lateral

* update downsample and configs

* remove additional blank line

* update docs

* add benchmark

* minor fix

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

* use sphinx to generate docs

* fix flake8 linting

* update docs

* async inference support

* implemented concurrent decorator

* fixes for Python versions < 3.7

* async methods depend on python version

* revert changes in forward method

* async_test -> async_simple_test, debug logging is done via logger.debug

* add async test

* add asynctest to test requirements

* async tests are run in Python 3.7

* check CUDA, add docs

* fix device

* run test only if CUDA is available

* fix linting

* custom operators can run on nondefault stream

* set current stream in kernel launch configuration

* example fixes

* add async/sync interface comparison benchmark

* fix linting

* update to v1.0rc1

* update maintainers

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

* 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

* fix config

* rm DS_Store

* add 28e

* update model url

* define data pipelines

* update two config files

* minor fix for config files

* allow img_scale to be optional and update config

* add some docstrings

* add extra aug to transform

* bug fix for mask resizing

* fix cropping

* add faster rcnn example

* fix imports

* fix robustness testing

* add img_norm_cfg to img_meta

* fix the inference api with the new data pipeline

* fix proposal loading

* delete args of DefaultFormatBundle

* add more configs

* update configs

* bug fix

* add a brief doc

* update gt_labels in RandomCrop

* fix key error for new apis

* bug fix for masks of crowd bboxes

* add argument data_root

* minor fix

* update new hrnet configs

* update docs

* rename MultiscaleFlipAug to MultiScaleFlipAug

* add __repr__ for all transforms

* move DATA_PIPELINE.md to docs/

* fix image url