* Add colab training tutorial

* Update tutorial codes and fix bug

* Clean files, refactor TBD

* Update tutorials

* Remove duplicated code

* Mv tutorial

* update docstring formats

* fix :func:

* minor update

* Add docstrings of core modules and methods

* Update docs and fix comments

* Complete docstrings

* Resolve comments

* reformat docstrings

* resolve comments

* Use len(data['img_metas']) to indicate num_samples

* clean code

* switch to EpochBasedRunner

* add docstrings

* update the minimum version of mmcv to 0.6.0

* fix unit tests

* fix mmcv version in travis

* fix ms rcnn show

* fix show error when empty det

* 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* Remove outdated restriction from docs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>

* Change .format to f-string

* Resolve comments

* Fix missing change

* rename api

* Refactor (APIs): rename imgs_per_gpu to samples_per_gpu

* Clean files

* Refactor (infos): rename self.infos to self.data_infos

* create roi_head

* create roi_head
mv shared_head into roi_head

* fix conflict

* refactor(cascade rcnn): create cascade head in roi head, simplify cascade rcnn

* type: fix
scope: cascade_head
subject: mv stage_loss_weight from train_cfg to roi_head creation

* type: fix
scope: roi_heads
subject: handle the case when train_cfg is None

* type: fix
scope: roi_heads mask inference
subject: fix test_cfg.rcnn bug to test_cfg

* fix mask eval bug

* refactor(double_head): refactor double head roi head

* fix(double_head): clean code and fix __init__.py

* refactor(mask scoring): create mask scoring roi head

* refactor(htc_head): add htc_head

* fix(htc_head): add htc_head in __init__.py

* fix (htc_head): fix htc_head bugs

* fix (ms_roi_head): rm test_cfg.rcnn to test_cfg

* feature (grid rcnn): grid roi head

* fix (grid_head): fix grid head bug

* reformat and change all cfgs

* reformat (roi_head): reformat __init__.py for isort=4.3.21

* fix roi_head test bug

* fix (carafe): change carafe cfgs to use roi_head

* fix (roi_head): fix missing roi_head refactor

* reformat to pass CI

* test all cfgs

* match keys of configs with previous commit 77d073a

* add and pass unittest for all roi heads

* Refactor (roi_head): extract abstract base class for roi head

* Refactor (roi_head): refactor init functions

* Refactor (roi_head): weight init

* Refactor (roi_head): add _bbox_forwrd & _mask_forward as basic functions

* Fix (grid_roi_head): fix bug in bbox_forward_train

* Refactor (roi_head): change to use img.device in forward_dummy)

* Refactor (roi_heads): simplify init functions and _mask_forward

* Fix (cascade_roi_head): fix init bug of cascade roi_head

* Refactor (roi_head): use dict as outputs of _bbox_forward and _mask_forward

* Refactor (test_config): scan valid configs rather than list them all

* Fix bug: index out of range when num_extra < len(indice)

* Unified img_metas api

* minor fix

* fix typo

* update images for async test

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

* Fix wrong keyword argument 'nms_cfg' in htc

* fix the bug of simple_test with proposals
remove the redundant codes in fast_rcnn

* correct the wrong comment

* minor update

* fix typos

* update fast test pipeline

* fix yapf error

* change fields from tuple to list

Co-authored-by: wangchuanyuan <Trayvon@wangchuanyuandeMacBook.local>
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* add logger utils

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

* fix a typo

* minor fix for the format of StreamHandler

* init logger before constructing Runner

* use mmdet logger for loading checkpoints

* bug fix for abstract methods

* 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

* 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

* Expand docs

* Fix flake8 errors

* Clarify Collect docstring

* revert to the original version

* 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 isort config

* use isort to sort imports

* add isort to travis

* add fp16 support

* fpn donot need bn normalize

* refactor wrapped bn

* fix bug of retinanet

* add fp16 ssd300 voc, cascade r50, cascade mask r50

* fix bug in cascade rcnn testing

* add support to fix bn training

* add fix bn cfg

* delete fixbn cfg, mv fixbn fp16 to a new branch

* fix cascade mask fp16 bug in test

* fix bug in cascade mask rcnn fp16 test

* add more fp16 cfgs

* add fp16 fast-r50 and faster-dconv-r50

* add fp16 test, minor fix

* clean code

* fix config work_dir name

* add patch func, refactor code

* fix format

* clean code

* move convert rois to single_level_extractor

* fix bug for cascade mask, the seg mask is ndarray

* refactor code, add two decorator force_fp32 and auto_fp16

* add fp16_enable attribute

* add more comment, fix format and test assertion

* fix pep8 format error

* format commont and api

* rename distribute to distributed, fix dict copy

* rename function name

* move function, add comment

* remove unused parameter

* mv decorators into decorators.py, hook related functions to hook

* add auto_fp16 to forward of semantic head

* add auto_fp16 to all heads and fpn

* add docstrings and minor bug fix

* simple refactoring

* bug fix for patching forward method

* roi extractor in fp32 mode

* fix flake8 error

* fix ci error

* add fp16 support to ga head

* remove parallel test assert

* minor fix

* add comment in build_optimizer

* fix typo in comment

* fix typo enable --> enabling

* udpate README

* update the high-level inference api

* save classes in meta data and use it for visualization

* add two stage w/o neck and w/ upperneck

* add rpn r50 c4

* update c4 configs

* fix

* config update

* update config

* minor update

* mask rcnn support c4 train and test

* lr fix

* cascade support upper_neck

* add cascade c4 config

* update config

* update

* update res_layer to new interface

* refactoring

* c4 configs update

* refactoring

* update rpn_c4 config

* rename upper_neck as shared_head

* update

* update configs

* update

* update c4 configs

* update according to commits

* update