GitLab

* Remove keep all stage code

* remove keep_all_stage in config

* fix scale factor bug

* reformat

* clean code

* reformat for yapf0.29

* fix conflicts of yapf and flake8

* flake 8 is prior than yapf

* add FreeAnchorRetinanet

* fix std

* refactor code

* add cfg

* fix bug in cfg

* add annotation and clean

* add readme

* fix isort error

* replace clip with torch.clamp

* fix init typo

* refactoring

* clean

* update benchmark

* rename and delete some var

* minor fix

* 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

* Fix GHM loss on CPU

* Fix SSD head on CPU

* test that all configs can be loaded

* Use in_channels correctly in anchor_head and guided_anchor_head

* Fix lint errors. Only tests a subset of configs

* remove local config

* fix yapf

* Remove slower tests

* Remove debug code

* trigger travis

* Expand docs

* Fix flake8 errors

* Clarify Collect docstring

* revert to the original version

* Doctests for AnchorHead and related code

* Fix flake8 error

* resolve review on transforms.py

* Resolve comments

* resolve commend about foreground classes

* Add reference about bounding box delta encoding

* Add in_channels kwarg to backbones

* explicit import in HRNet doctest

* Add doctest example for resnet and resnext

* Explicit import in doctests

* Fix missing torch import in doctest

* 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

* Enable doctests in CI with xdoctest

* use xdoctest in travis file

* Fix doctest warnings

* dont test eggs directory

* Ensure xdoctest is installed before running CI

* Pass device to grid_anchors and valid_flags

* fix yapf formatting

* add tta to HTC and Caccade RCNN

* format file with yapf

* fix import error with isort

* Update htc.py

* Update cascade_rcnn.py

* fix bug

* delete some redundant codes

* fix a bug for Modulated Deformable Convolution

* resolve cases for CI test

* resolve cases for CI test

* resolve cases for CI test

* create a new script

* change dir name in config

* update model url

This reverts commit ea9b20af.

* add reppoints head, reppoints detector and the config files.

* add reppoints generator, target and the center-based assigner.

* add readme for RepPoints

* 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

* update model zoo

* update model zoo

* update model links

* update HRNet README

* update HRNet README

* remove .DS_Store

* update HRNet results

* update HRNet results and remove .DS_Store

* update FCOS results

* update HRFPN to support FCOS

* remove blank line

* remove blank line

* update Modelzoo

* update models

* update model url

* fix typo

* fix typo

* change name of backbones

* add 20e to cascade w18

* update url

* add flops counter

* minor fix

* add forward_dummy() for most detectors

* add documentation for some tools

* Fix bug of FCOS when image has no positive sample

* somes changes for fcos

* fix the imports in __init__.py

* update contribution guide

* add isort config

* use isort to sort imports

* add isort to travis

* add major components for training double head

double head only with two losses and no attention

remove double_head detector for now, merge upchannel to double_head bbox head

change the stype using yapl

remove uncessary comment#

to pass check

to pass v2

to pass v3

line too long and style again

reuse bottlenet

* refactoring

* bug fix

* bug fix for weight initialization

* add reg roi scale factor and modify loss weights

* rescale the roi after mapping to fpn levels

* format the codebase with yapf

* add yapf to travis

* use registry to manage datasets

* bug fix for concat dataset

* update documentation to fit the new api