* add compare table fix model_zoo.md

* fix some typos

* minor add

* minor update

* add link for mmdet

* minor update

* fix the docs

* add docs for image demo

* add macOS in supported systems

* add mmcv into requirements of readthedocs

* add v2.0 changelog

* minor updates

* add speedup percentage

* update changelog

* update the release date

* add api doc

* update mock modules and fix requirements

* fix autodoc modules

* remove tmp file

* add release version in docs/conf.py

* fix docstring styles

* Add score_thr parameter to test

* Add info about score_thr in docs

* Rename score_thr to show_score_thr

* Fix show-score-thr name in getting_started.md

* Enrich dataset tutorial

* Add an example

* Modify the demo

* Change demo format

* change logic

* Reformat code in tutorial

* add docs

* reorg tutorials and a minor fix

* add docs on adding new necks

* add configs for all models

* fix some configs

* Add benchmark models

* update some benchmarks

* Fix retina config

* add more benchmarks

* update MODEL_ZOO.md

* fix cascade mask num_class bug

* change caffe pretrained url

* fix paramwise_cfg bug

* fix paramwise cfg

* restrict minimum h and w in crop_and_resize

* add grad clip for fcos

* add grad clip for ga retinanet

* fix grad clip

* fix img norm

* fix rpn loss bbox

* fix rpn proposal num

* fix url

* clean

* update comparison

* minor update

* add grad clip for guided anchoring

* fix some typos

* add inference time details

* clean

Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

* Add tutorials for V2.0

* Add details for dataset tutorial

* add tutorials in index.rst

* Add tutorials for concat data

* Modify documents

* More contents

* add model upgrade tool

* Add configs and scripts for converting v1.x models to v2.0

* add doc

* Add more models

* Pass CI

* Clean scripts and check model by config

* Resolve comments

* Resolve small comments

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

* Use apis/inference in detectors show_result

* Add images_out_dir arg to test apis

* Include --images_out_dir in assertion

* Fix single class parsing

* Remove single class hack

* Move import

* Add example of saving results

* Fix list number

* Refactor show_result

* Update docs

* Update __init__

* Fix CLASSES reference

* Remove unnecessar assert for custom classes

* Use - instead of _

* Use - instead of _

* Rename images_out_dir -> out_dir

* Remove unnecessary model.module

* Update show_result with all params and docstring

* Fix missing comma

* Set rescale always to True

* Remove outdated restriction from docs

* Drop pathlib

* Rename out_dir -> show_dir

* Update docstring

* More explicit code. Fix out_dir

* Update docstrings

* Flake8

Co-authored-by: mmeendez8 <miguelmndez@gmail.com>
Co-authored-by: sbugallo <sbugallo@gradiant.org>

* add docs for new config

* update text->pretty_text, replace MultiKVAction with DictAction

* update missing

* update docs

* Add documentation

* Fix (doc): fix syntax error

* Add details about hyper parameters

* Add name convention

* Update compatibility docs

* Support class wise mean AP for coco

* Reformat code

* Reformat print output

* Reformat doc

* Refactor (tools): use '-' rather than '_' for command option

* Change command line options in docs

* Add classes as input parameter

* Update 'use my own datasets' documentation

* Add test_datasets

* Fix assert

Co-authored-by: David de la Iglesia Castro <diglesia@gradiant.org>

* add CPU only mode which can be activated during install

* fixed flake8 errors for too long lines, still have to deal with "import not at top of file"

* reversing changes in MinIoURandomCrop, that not relevant to the CPU_ONLY pull request

* moving the CPU_ONLY checks into deeper parts of the code

* completing previous commit

* using isort for imports sorting

* yapf fix

* followed @xvjiarui suggestions for the pull request

* use mmdet.CPU_ONLY and replace the "--cpu" flag in setup.py with automatic check of cuda

* make setup code cleaner

* back to original implementation of MinIoURandomCrop

* build all extensions with CUDA, if available

* fixed DC

* update doc

* fixed masked_conv2d_ext

* set warning once, update comment

Co-authored-by: Yossi Biton <yossi.biton@alibaba-inc.com>
Co-authored-by: Yossi Biton <yossibit10@gmail.com>

* add new config sample and check scripts

* context managere to prevent import

* refactor backbone, add caffe

* add fast rcnn

* all basci config done

* rm coco_proposal

* add scratch, wider_face, voc

* add reppoints

* delete device id, auto resume

* add libra_rcnn, ms_rcnn, nas_fpn

* add hrnet, fcos

* add free_anchor, gn, grid_rcnn, guided_anchoring, gcnet, ghm, gn+ws

* finished all, but some need refactor and unified logic

* fixed albu

* update ReseNet101

* reduce ResNet101, add norm_cfg, 4conv1fc

* refactor caffe backbone

* merge act_cfg, dcn from master

* rename 2fc head, add 4conv1fc head

* delete 4con1fc model

* rename components -> _base_

* flatten _base_

* refactor _base_ structure

* refactor config structure

* reduce _base/models

* rename all config

* add _coco inside configs

* fixed _coco in files

* fixed albu in test

* migrate to new sys

* fixed test

* fixed test

* rm cascade, fast_rcnn

* rm cascade, fast_rcnn from _base_

* fixed fcos_center

* rename from rule

* collopse third party model

* fixed test

* fixed some minor bug

* rename gn-neck_head -> gn-neck+head

In example 4:

Test Mask R-CNN on COCO test-dev with 8 GPUs, and generate the json file to be submit to the official evaluation server.
./tools/dist_test.sh configs/mask_rcnn_r50_fpn_1x.py
checkpoints/mask_rcnn_r50_fpn_1x_20181010-069fa190.pth
8 --format-only --options "jsonfile_prefix=./mask_rcnn_test-dev_results"

where --format-only should be --format_only

* add onnx convert script

* upload pytorch2onnx.py

* restore config

* set use_torchvion on-the-fly, update doc

* update doc

* support pass input

* fixed passes

* 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>