GitLab

* 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 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 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

* 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 data_aug BackgroundPointsFilter

* modify BackgroundPointsFilter

* modify BackgroundPointsFilter

* 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.

* Fix a minor bug in json2csv of lyft dataset

* Fix variable names and minor hard code

* 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 test_getitem for kitti

* Change dataset to self

* Fix dbinfo path bug

* Change to 230

* Change bboxes and scores

* Debug, check points shape after dbsample

* Debug, add assert gt_bbox and db bbox

* Debug, add assert sampled and gt_bboxes

* Debug, add assertion for dbinfo and gt_box

* Fix transfom_3d unittest

* Fix kitti dataset unittest

* Add kitti data

* Clean debug

* Change data_augment_utils

* Reduce point file

* Change self to dataset

* Change data_augment_utils to normal

* Change order of CLASSES

* Finish test_random_flip_3d

* Add show unittest for scannet and sunrgbd datasets

* Add show unittest for kitti dataset

* Add test_evaluate for kitti dataset

* Add pytest.skip

* Add format_results unittest

* Add test_show for lyft

* Fix eval

* Add test_time_aug unittest

* Add bbox2result_kitti2d unittest

* Change abs to np.isclose

* Support github action:

* fix docs package

* reduce action items

* Update cuda arch

* Set cuda arch

* Add information

* add cocotools in installation

* skip gpu

* remove duplicated module

* Change points shape from 1177 to 800

* Change 1177 to 800

* Change 1177 to 800

* Add print

* Add other print

* Change gt_labels

* Add seed

* Change to len assert

* Change gt_bboxes_3d

* Change repr
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>
Co-authored-by: liyinhao <liyinhao@sensetime.com>

Update mmdet3d/datasets/kitti_dataset.py, mmdet3d/datasets/custom_3d.py, mmdet3d/datasets/pipelines/transforms_3d.py files

Update mmdet3d/core/bbox/structures/base_box3d.py, mmdet3d/core/bbox/structures/lidar_box3d.py, mmdet3d/core/post_processing/box3d_nms.py files

Update mmdet3d/datasets/scannet_dataset.py, mmdet3d/datasets/kitti_dataset.py, mmdet3d/datasets/sunrgbd_dataset.py, mmdet3d/datasets/nuscenes_dataset.py files