GitLab

* add model stastics

* add model stastics and polish docs

* add model stastics and polish docs

* fix

* chmod +x stat.py

* 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 points structure

* modify points rotation and add coord_3d_mode unittest

* modify docstring

* Update README.md

* Update __init__.py

* Update changelog.md

* Update changelog.md

* Fix a minor typo

* Fix minor typos

* Update changelog.md

* Able to double_flip test.

* Remove nms_post_max_size

* Able to merge then nms for tta.

* Able to merge then nms for tta.

* reproducible performance.

* Add more configs.

* Able to use scale tta.

* Move scale aug to merge_aug_bboxes_3d

* Remove brackets, add comments.

* Delete unnecessary configs, Add instruction in README.

* Add docstring.

* Change readme, add empty line.

* Change name.

* Add tta in unittest.

* Add 'to cpu'

* Add simple test

* Move 'to cpu'

* Add full tta config

* Delete circle_nms tta config, change max_num.

* Update benchmark

* Remove unnecessary code, move position of flip.

* Complete docstring.

* Add comment for double flip change.

* Add shape-aware grouping head

* Reformat docstrings

* Remove rewritten get_anchors in shape_aware_head

* Refactor and simplify shape-aware grouping head

* Fix docstring

* Remove fixed preset shape heads

* Add unittest for AlignedAnchor3DRangeGeneratorPerCls

* Add unittest for get bboxes in shape_aware_head

* Add unittest for loss of shape_aware_head

* Fix unstandard docstrings

* Minor fix for a comment

* Add assertion to make sure not all boxes are filtered

* modify primitive head

* modify primitive head

* rename upper and lower

* modify doc string

* Update v0.6.1 change log

* Update version.py

* Update init file to be compatible with mmdet

* Changelog refinement

* Sync modification in New Features

* Sync modification in Highlights

* Changelog refinement

* Update README.md for v0.6.1

* Update a newest [fix] PR

* Support to train using FP16

* fix type inconsistency error on naive syncBN

* resolve comments

* clean nan check

* Add overall evaluation

* Add config waymo-3d-car.py

* Update README.md

* Create hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-3class.py

* Create hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-car.py

* Delete waymo-3d-car.py

Instead of using new dataset config, we change the load_interval in the config for specific usage.

* update url links
Co-authored-by: Tai-Wang <tab_wang@outlook.com>
Co-authored-by: twang <30491025+Tai-Wang@users.noreply.github.com>

* add sweep points sampler

* add sweep points sampler

* rebase master

* modify unittest

* modify voxel based point sampler

* modify voxel based point sampler

* fix bugs for voxel based point sampler

* modify voxel based points sampler

* fix bugs

* modify repr string

* Reduce requirements if waymo dataset is not used

* Update waymo.md

* Update optional.txt

* Update waymo.md

Add instructions of requirements/optional.txt related to waymo

* Add version assert in init file.

* update mmcv requirement
Co-authored-by: zhangwenwei <wayne.zw@outlook.com>

* 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

* 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 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.

* 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 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