GitLab

* update readme

* update readme

* add cpu support

* fix

* fix comments

Fix potential undefined variables in PGD when computing loss for cases with none positive predictions (#1157)

* add monoflex coder

* fix coder

* fix comments

* change variable name

* fix typos

* put encode alpha in coder

* change variable name

* change alpha to local yaw

* fix roty to yaw

* fix annotations

* fix comments

* fix return elements

* fix comments

* fix comments

* Fix figure links (also to fix pdf compilation)

* Hack pdf doc compilation

* Hack pdf doc compilation

* Set the priority of figure formats when building html, add png format fig to fix pdf compilation

* Add png file for pdf compilation

* add mmrazor and mmselfsup in readme

* add mmdeploy

* update mm_deploy description

* Update mmdet minimum version

* Update build.yml

* mminstall.txt

* Update mmseg minimum version

* support dataset augmentation visualization

* unify two kinds of dataset visualization

* update docs about visualization

* fix typos

* change description in doc

* add local yaw property

* fix typos

* delete local yaw in base

* change local yaw to alpha

* change local yaw to alpha

* update docstring

* update docstring again

* Fix figure links (also to fix pdf compilation)

* Hack pdf doc compilation

* Hack pdf doc compilation

* Set the priority of figure formats when building html, add png format fig to fix pdf compilation

* add monoflex loss

* add unnitest

* add assert error

* fix typos

* remove monoflex_iou_loss

* remove monoflex_iou_loss unittest

* [Fix] Fix docs link

* Fix English doc conf link
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* [Feature] Support PointRCNN KITTI benchmark

* update link to model&log

* Merge English and Chinese doc into the same folder

* Add logo image back

* Add logo image back

* Simplify the requirements in the readthedoc yml

* Remove unused packages in the docs.txt

* Add m2r and recommonmark in the docs.txt

* Fix mistune version because the latest mistune does not have module BlockGrammar

* Add mmdet in the readthedocs.txt to compile api docs

* Add mmseg in the readthedocs.txt to compile api docs

* Fix the typo of mmseg (should be mmsegmentation)

* Add mmcv.ops into autodoc_mock_imports

* Add numba into readthedocs.txt to compile api docs

* Remove numba from readthedocs.txt and add runtime requirements in readthedocs.yml

* add pipeline

* fix typos

* fix unittest

* fix_typos

* fix_typos

* change pipeline to func

* refactor

* refine gen indices

* add device to gen indices

* change tunc_objs_handle to handle_objs

* fix comments

* add numpy and tensor time comparision

* fix

* add numba accelerate

* fix format

* remove unnecssary func

* update edge_indices docstrings

* fix some comments

* rebase & resubmit

* rename config & model

* fix unittest

* resolve comments & add docstring for class_agnostic_nms

* refine loss calculation & remove find_unused_parameters

* resolve typo & add docstring

* resolve comments

* update pre-commit hook

* update markdownlint

* Update version.py

* Update getting_started.md

* Update getting_started.md

* Update README.md

* Update README.md

* Update README_zh-CN.md

* Update changelog.md

* Update changelog.md

* Update getting_started.md

* Update getting_started.md

* Update the upper bound of mmcv version

* Update the upper bound of mmcv version

* Update the upper bound of mmcv version

* Update the PR number

* Remove the PGD docker PR (merged into v1.0.0.dev0)

* argument show, score_thr added to single_gpu_test

* Implemented label color visualization for show_result function

* Added show, score_thr argument for base 3 model(mmdetection3d)

* Fixed typo(color < 1) for show_result function

* Applied pre-commit run --all-files

* Revised documentation of show_result and revised variable name

* Updated documentation and set default value of score_thr to None

Copy the repository in the Dockerfile instead of cloning. This makes it
possible to work with latest modifications, such as PGD in the dev branch,
and also network bandwith does not get wasted.

* add abstract for methods

* fix typos

* fix pointpillars flops calculation error

* fix