GitLab

* fix ci of dataset and visualizer by regenerate pkl

* decrease channels in ut for reducing cuda memory

* still use sample_id in the kitti submitted files

* minor changes

* use waymo-open-dataset-tf-2-6-0

* use waymo-open-dataset-tf-2-5-0 to be compabible with python3.6

* use waymo-open-dataset-tf-2-4-0 to be compabible with python3.6

* no dependency about waymo-open-dataset

* Revert "no dependency about waymo-open-dataset"

This reverts commit 581d4eefe26851a295b3190bcfa73d6fb2ba54aa.

* not install waymo-open-dataset for ci

* max python version is 3.8 because of trimesh

* Revert "max python version is 2.8 because of trimesh"

This reverts commit 6d8a1851b22a2059e7de75b576c2b7f633ad7cfa.

* fix networkx in ci

* update docstring of data_preprocessor

* modify version of typingextensions

* update waymo dataset

* [Fix] Fix all unittests and refactor tests directory and add circle ci in `test-1.x` (#1654)

* add circle ci

* delete github ci

* fix ci

* fix ut

* fix markdown version

* rm

* fix part of uts

* fix comments

* change foler

* refactor test directory

* fix kitti metric ut

* fix all ut
Co-authored-by: VVsssssk <shenkun@pjlab.org.cn>

* add waymo dataset and evaluation metrics

* convert second configs for v2.0

* [Refactor] Unify ceph config (#1677)

* refactor ceph in config

* support metric load ann file from ceph

* add doc string and remove useless code

* [Fix]Fix create data (#1659)

* add circle ci

* delete github ci

* fix ci

* fix ut

* fix markdown version

* rm

* fix part of uts

* fix comments

* change foler

* refactor test directory

* fix kitti metric ut

* fix all ut

* fix creat data
Co-authored-by: ChaimZhu <zhuchenming@pjlab.org.cn>

* [Fix] Fix seg mapping (#1681)

* [Doc]: fix markdown version (#1653)

* [CI] Add circle ci (#1647)

* add circle ci

* delete github ci

* fix ci

* fix ut

* fix markdown version

* rm

* fix seg mapping for scannet

* fix requiremetn

* fix all seg dataet

* resolve commnets
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>

* [Fix] Fix SSN configs (#1686)

* modify doc string and evaluation file location

* add doc string

* remove path mapping in flieclient args
Co-authored-by: ChaimZhu <zhuchenming@pjlab.org.cn>
Co-authored-by: VVsssssk <shenkun@pjlab.org.cn>
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: Shilong Zhang <61961338+jshilong@users.noreply.github.com>

* 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

* add s3dis dataset

* fix comments; remove _S3DISDataset if favour of ConcatDataset

* fix comments

* fix comments

* fix link in __init__/py

* remove unused import

* add dataset tests

* add pytest.skip

* compress kitti unit test imgs

* add unit test for inference_multi_modality_detector

* fix typos

* rename init_detector to init_model

* show_result_meshlab support seg task

* add unit test for seg show_result_meshlab

* support inference_segmentor

* support pc seg demo

* add docs

* minor fix

* change function name

* compress demo data size

* update docs

* add sample data for waymo dataset unit test

* support getitem unit test

* unit test for show

* unfinished evaluate unit test

* KITTI format evaluate done, Waymo format uncomplete

* add format_results unit test

* make waymo sample data size small

* remove unused comment

* add pipeline show test

* finish

* compress img size

* support S3DIS data download and pre-processing (to ScanNet format)

* add S3DIS data for unittest

* add S3DIS semseg dataset class and unittest

* add config file for S3DIS dataset

* add eval_pipeline to S3DIS dataset config file

* clean code for S3DIS pre-processing scripts

* reformat code

* fix small bugs

* resolve conflicts & modify show() to use pipeline

* fix small errors

* polish data pre-processing code

* add more comments about S3DIS dataset

* fix markdown lint error

* 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

* Support monocular 3D detection on KITTI dataset

* Add visualization TODO

* Merge nus_mono3d and update dataset init

* Remove duplicated loading images in mono3d

* Remove aos evaluation of bbox2d predictions on KITTI

* Add unit test for kitti mono3d dataset

* Add accidentally deleted classes in the dataset init

* Replace .format with f-string in kitti dataset

* Clean comma

* Toy data for unit test of kitti mono dataset

* Sample image data for unit test

* uncomplete

* support lidar2img loading

* add box_type_3d args in MVX-Net config file

* support multi-modality demo for LiDAR point clouds

* support multi-modality demo for indoor (depth) point clouds

* move demo data into folder and modify docs

* add input check & more general filename matching

* update docs for demo and add README file for demo

* add score_threshold option to demos

* add data for ScanNet & KITTI dataset multi-modality test

* add multi-modality visualization in ScanNet and KITTI dataset

* add unittest for modified visualization function

* delete saved temp file and dirs in unittests using TemporaryDirectory

* fix typos in docs & move README of demos to docs/

* add demo docs to documentation

* fix link error
Co-authored-by: wHao-Wu <wenhaowu.chn@gmail.com>

* 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