* Demo with cv2.VideoCapture

Signed-off-by: steven0129 <h3584935@gmail.com>

* Add video demo and docs

* Use ProgressBar

* add demo.mp4 and docs

* Use mmcv.VideoReader

* Use track_iter_progress

Co-authored-by: hhaAndroid <1286304229@qq.com>

* Create gif for demo

* Add install tips

* FPN deprecated warning

* FPN deprecated warning

* fix scale_factor is not same type as det_bboxes error

* Update model url from aws to aliyun

* Delete unnecessary changes

* update url

* add url link

* Test program

* Revert changes

* Update MMDet tutorial url

* Add hooks

* change hooks to custom_hooks

* fix a bug in custom_hooks

This reverts commit 17c0f8e3.

* Add hooks

* change hooks to custom_hooks

* Add colab link

* Use mmcv-full in requirements

* Migrate to MMCV 1.0.2

* Resolve path issue

* Use newest MMDet

* Update projects

* Update install process

* add logo and resources folder

* update logo size

* change logo size to 400

* change logo size to 600

* Add colab training tutorial

* Update tutorial codes and fix bug

* Clean files, refactor TBD

* Update tutorials

* Remove duplicated code

* Mv tutorial

* Add upsample_cfg support in FPN

* small fix

* Add multiple extra conv sources

* small logical fix

* Add neck tests for fpn

* Add neck tests for fpn

* fixed several typos

* resolved issues

* Removed extra_convs_source option

* added necks to apis.rst

* change according to comments

* reconfigured configs

* fix the docs

* add docs for image demo

* add macOS in supported systems

* add mmcv into requirements of readthedocs

* fixed webcam demo

* fixed show=True

* add warning when show=False and out_file=None

* 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* Remove outdated restriction from docs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>

* added background label to assign function

* fixed the background label as -1 in all assigners

Co-authored-by: wangxinjiang <wangxinjiang@sensetime.com>

* 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

* 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

* add flops counter

* minor fix

* add forward_dummy() for most detectors

* add documentation for some tools

* Add robust detection benchmark

* Update readmes

* Changed readmes for pull request

* Ensure pep8 conformity

* fixed formatting

* Fix yapf errors

* minor formatting

* fix imports order