GitLab

* Add gitlab CI back

* clean isort

* Update gitlab CI version

* Update mmcv install

* fix unit test bug

* waymo

* Use new flake8

* Update mmdet3d/core/evaluation/waymo_utils/prediction_kitti_to_waymo.py, tools/data_converter/waymo_converter.py files

* Add baseline configs for waymo

* fix linting

* yapf reformat

* update waymo results

* Update waymo model zoo and docs

* Bump v0.6.0

* Fix a minor bug when converting waymo data

* Fix cmds in the waymo doc

* Fix setup.cfg to pass isort test

* Fix waymo configs

* Update model zoo link & doc

* update version date

* clean ci
Co-authored-by: wangtai <wangtai@sensetime.com>
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* [Fix]: fix label type bug when using dbsampler

* Unify cat_id for more general usage

* fix CI bugs

* keep astype np.long

* Add pointpillar configs.

* Add 0075 voxel configs.

* Add configs, change to pipeline.

* Add centerpoint.

* Add 01 configs.

* Change sparse shape

* Change model config, change centerpoint detector to inherite from mvx two stage.

* Change names of configs.

* Reduce configs.

* Fix pillar config can't use bug.

* Add readme for centerpoint.

* Streamline the code in configs.

* Change readme, add nus-3d in base config

* Use seperate_head config to build seperate head, remove '[0]' in simple_test_pts

* Remove input_modality

* Change coder weights for configs.

* Change 0075 config, change order of modules in config.

* Change loss_bbox config, remove unnecessary things.

* Add cyclic_20e.py

* Rename centerhead, move centerhead,

* Change cyclic_20e

* Add modules.

* Add test_center_head.

* Add docstring.

* Change comments.

* Add dcn_head.

* Add doc_string.

* Add get_targets.

* Can use_get_targets.

* get_targets results aligned.

* Use box_structure.

* Use get_targets_single.

* Add docstring.

* Fix dcn_center_head unittest.

* Delete unnecessary unittest.

* Add docstring.

* Change format.

* Add circle_nms.

* Change structure of mg_head.

* Add bbox coder for centerpoint.

* Add docstrings.

* Add docstrings.

* Add get_bboxes and unittest.

* Change docstring.

* Add img_metas.

* Change bbox coder unittest.

* Add task_detections.

* Change docstring.

* Change circle_nms to cpu.

* Change test_nms.

* Change score_th, chang keep to long type.

* Change docstring and unittest.

* Remove unnecessary things.

* Move gaussian.

* move clip_sigmoid, change dict.

* Change config.

* Change test_heads.

* Move weight initialization to init_weights func.

* Remove loc_loss_element adn==nd num_postive.

* Change bboxes to the right format.

* Change loss and bbox order.

* Update test_heads.

* Change loss.

* Change names in mg_head, change head unittest.

* Remove centerpoint_focal_loss, change docstring.

* Change topK default to 80.

* Change boxes in test_nms. Change task_boxes defaults to None.

* Fix rotate nms bug.

* Change docstring.

* Add docstring for get_task_detection and loss.

* Remove gaussian funcs, change mg_head.

* Change gaussianfocalloss to mean.

* change centerpoint_bbox_coder '/' to torch.div, fix centerhead unittest.

* Change div to '/'

* Change order in centerpoint_coder, change names, change dcn layer.

* Fix import in __init__

* Add gaussian unittest.

* Remove np ops in mg_head.

* Update docstring.

* Fix docstring use config to build head.

* Remove **kwargs

* Remove unnecessary codes, change order of bboxes.

* Remove '\' in args and pdb, change loss_bbox.

* Fix test_heads unittest.

* Remove unnecessary comments

* Change bbox order in rotate nms.

* Remove unnecessary attributes

* Change name, remove float

[refactor]: migrate to use collect_env in mmcv

* add h3d backbone

* add h3d backbone

* add h3dnet

* modify scannet config

* fix bugs for proposal refine

* fix bugs for test backbone

* add primitive head test

* modify h3dhead

* modify h3d head

* update loss weight config

* fix bugs for h3d head loss

* modify h3d head get targets function

* update h3dnet base config

* modify weighted loss

* Revert "Merge branch 'h3d_u2' into 'master'"

This reverts merge request !5

* add readme.md

* modify readme.md

* Update README.md

* Add experiment details

* Update README

* update readme

* reformat

* Update information in model zoo
Co-authored-by: zhangwenwei <wayne.zw@outlook.com>

* add h3d backbone

* add h3d backbone

* add h3dnet

* modify scannet config

* fix bugs for proposal refine

* fix bugs for test backbone

* add primitive head test

* modify h3dhead

* modify h3d head

* update loss weight config

* fix bugs for h3d head loss

* modify h3d head get targets function

* update h3dnet base config

* modify weighted loss

* Revert "Merge branch 'h3d_u2' into 'master'"

This reverts merge request !5

* fix depth box3d

* fix bugs of test box3d

* add h3d backbone

* add h3d backbone

* add h3dnet

* modify scannet config

* fix bugs for proposal refine

* fix bugs for test backbone

* add primitive head test

* modify h3dhead

* modify h3d head

* update loss weight config

* fix bugs for h3d head loss

* modify h3d head get targets function

* update h3dnet base config

* modify weighted loss

* Revert "Merge branch 'h3d_u2' into 'master'"

This reverts merge request !5

* fix bugs for 3dssd config

* add ssd3dhead

* fix bugs for anchorfreebboxcoder

* modify ssd 3d head

* modify ssd 3d head

* reconstruct ssd3dhead and votehead

* add unittest

* modify 3dssd config

* modify 3dssd head

* modify 3dssd head

* rename base conv bbox head

* modify vote module

* modify 3dssd config

* fix bugs for unittest

* modify test_heads.py

* fix bugs for h3d bbox head

* add 3dssd detector

* fix bugs for 3dssd config

* modify base conv bbox head

* modify base conv bbox head

* modify base conv bbox head

* add dilated ball query

* fix bugs for group points

* rename max radius

* update bbox_results to support multi-batches test and fix ci problem in test_part_aggregation_ROI_head

* compress test samples in test_parta2_roi_head

* compress test samples

* fix multi-batch bug

* fix multi-batch bug

* fix multi-batch bug

* fix mvxnet test

* fix mvxnet test

* multi batch test

* multi batch test

* multi batch test

* Change gt_database and dbsampler.

* Add int condition for use_dim.

* Change default sweep_num.

* Change docstring.

* Change to pipeline in db_sampler.

* remove comments.

* [Feature]: support using nuimages for instance segmentation

* Update performance and start benchmark

* Change default path names

* Update performance

* Update mmcv version

* Update model links

* Update model links and fix unit tests

* rephrase

* Fix readme

* Update model zoo

* Fix typo

* [Feature]: support using nuimages for instance segmentation

* Update performance and start benchmark

* Change default path names

* Update performance

* Update mmcv version

* Update model links

* Update model links and fix unit tests

* rephrase

* add op fps with distance

* add op fps with distance

* modify F-DFS unittest

* modify sa module

* modify sa module

* SA Module support D-FPS and F-FPS

* modify sa module

* update points sa module

* modify point_sa_module

* modify point sa module

* reconstruct FPS

* reconstruct FPS

* modify docstring

* add pointnet2-sa-msg backbone

* modify pointnet2_sa_msg

* fix merge conflicts

* format tests/test_backbones.py

* [Refactor]: Add registry for PointNet2Modules

* modify h3dnet for base pointnet

* fix docstring tweaks

* fix bugs for config unittest
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

* Fix (torch.nonzero): Fix  warning of torch.nonzero and bug of nms_iou

* Fix contiguous warning of tensor

* Update CI with pt1.6

* update build action

* recover ci

* Add force cuda

* Use mmcv-full==1.0.5

* Fix nonzero warning

* Update CI config

* update links

* fix unit tests

* fix unit tests

* Lock pytorch version in CI

* Lock pytorch version in CI

* Lock pytorch version in CI

* Try specify torchlink

* Try specify torchlink

* Only add 3.7 for CI

* fix synctax error

* Use 1.3.0

* Use 1.3.0 and specify mmcv

* give up 1.3

* fix cublas issue

* fix cublas issue

* add test data

* update fps test data

* update fps test data

* add data_aug BackgroundPointsFilter

* modify BackgroundPointsFilter

* modify BackgroundPointsFilter

* add h3d head

* add h3d roi head

* update docstring of h3d roi head

* reconstruct h3d head

* remove unused code

* modify h3d bbox head

* add h3dnet init files

* modify h3d bbox head

* add depth_box3d unittest

* update h3d head

* add h3dnet benchmark

* update docstring in vote_head

* resovle primitive conflict

* add op fps with distance

* add op fps with distance

* modify F-DFS unittest

* modify sa module

* modify sa module

* SA Module support D-FPS and F-FPS

* modify sa module

* update points sa module

* modify point_sa_module

* modify point sa module

* reconstruct FPS

* reconstruct FPS

* modify docstring

* modify docstring

* Add bottom2gravity and balance_class option.

* Add valid_flag.

* Add use_valid_flag.

* Change balance_class option.

* Add wrapper, remove gravity and balance_class option.

* Change flag, change load_infos to repeat_indices.

* Remove pdb, change docstring.

* Change name, remove unnecessary args.

* Remove _concat_dataset.

* Change name of ClassSampledDataset.

* Change docstring.

* Add get_cat_ids in nus_dataset, add unittest for wrapper.

* Change to len(self.dataset)

* Update nus data.

* add primitive head

* register of primitive head

* modify primitive head

* modify primitive head

* modify primitive head

* modify primitive head

* update primitive head unittest

* modify primitive had

* fix bugs for primitive head

* update primitive head

* Fix a minor bug in json2csv of lyft dataset

* Fix variable names and minor hard code

* Fix minor bugs encountered when computing iou3d with gpu while the specified cuda id is not default 0

* Fix nonstandard formats

* Remove trailing whitespace

* Fix nonstandard format

* Fix ambiguous initialization of cuda tensors

* Add unittest.

* Change to 'defaults to'.

* Add replace=False, remove T op, add num_sweeps=10 unittest.

* Change lyft_infos.pkl.

* Add nus unittest.

* Add nus unittest.

* Change nus_info.pkl.

* Add test_mode.

* add multi backbone

* update multi backbone

* update multi backbone

* update multi backbone

* modify multi backbone

* modify multi_backbone params

* modify docstring

* update multi_backbone unittest

* modify docstring