GitLab

* Support nuscenes mono3d json info generation

* Support nuscenes mono3d dataset class

* Support attribute and bbox2d prediction in bbox3dnms and bbox3d2result

* Rename dataset class and add comments to 'attrs'

* Support mono3d related pipelines

* Fix unittest for loading 3D annotations

* Add unit test for nuscenes mono3d dataset

* Rename the sample result file

* Upload sample data for mono3d unit test

* Upload sample data for mono3d unit test

* Upload sample image for unit test

* Delete tests/data/nuscenes/samples/LIDAR_TOP/CAM_BACK_LEFT directory

* Add files via upload

* Remove unnecessary 'f'

* Remove unnecessary \ in arguments

* Remove check for pycocotools version because it has been done in the cocodataset

* Remove unnecessary comma, add TODO and change init of attrs in format_results

* Merge RandomFlip3D and RandomFlipMono3D

* Add pytest to check whether cuda is available in the unit test

* Add visualization TODO

* Remove useless init in loading mono3d images

* add ini

* add semantickitti_dataset

* add test semantickitti_dataset

* delete last line in test_semmaticdataset

* add test data

* change_names

* load_labels dytype

* change_name

* numpy

* name

* dtype string

* minor issue-string

* seg_3d_dtype

* add model stastics

* add model stastics and polish docs

* add model stastics and polish docs

* fix

* chmod +x stat.py

* add test data

* update fps test data

* update fps test data

* 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 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

Update mmdet3d/datasets/lyft_dataset.py, mmdet3d/core/evaluation/lyft_eval.py, tests/test_dataset/test_lyft_dataset.py files