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

* 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

* add format_results function for ScanNet test set results submission

* support ScanNet test set data pre-processing

* replace is_train with test_mode for better consistency

* fix link error in docstring

* 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

* remove max_num_point in ScanNet data preprocessing

* add config file for ScanNet semantic segmentation dataset

* modify NormalizePointsColor in pipeline

* add visualization function for semantic segmentation

* add ignore_index to semantic segmentation visualization function

* add ignore_index to semantic segmentation evaluation function

* fix ignore_index bug in semantic segmentation evaluation function

* add test function to check ignore_index assignment in PointSegClassMapping

* fix slicing bug in BasePoints class and add unittest

* add IndoorPatchPointSample class for indoor semantic segmentation data loading and add unittest

* modify LoadPointsFromFile class and its unittest to support point color loading

* fix data path in unittest

* add setter function for coord and attributes of BasePoint and modify unittest

* modify color normalization operation to work on BasePoint class

* add unittest for ScanNet semantic segmentation data loading pipeline

* fix ignore_index bug in seg_eval function

* add ScanNet semantic segmentation dataset and unittest

* modify config file for ScanNet semantic segmentation

* fix visualization function and modify unittest

* fix a typo in seg_eval.py

* raise exception when semantic mask is not provided in train/eval data loading

* support custom computation of label weight for loss calculation

* modify seg_eval function to be more efficient

* fix small bugs & change variable names for clarity & add more cases to unittest

* move room index resampling and label weight computation to data pre-processing

* add option allowing user to determine whether to sub-sample point clouds

* fix typos & change .format to f-string & fix link in comment

* save all visualizations into .obj format for consistency

* infer num_classes from label2cat in eval_seg function

* add pre-computed room index and label weight for ScanNet dataset

* replace .ply with .obj in unittests and documents

* add TODO in case data is on ceph

* add base dataset for all semantic segmentation tasks & add ScanNet dataset inheriting from base dataset

* rename class for consistency

* fix minor typos in comment

* move Custom3DSegDataset to a new file

* modify BasePoint setter function to enable attribute adding

* add unittest for NormalizePointsColor and fix small bugs

* fix unittest for BasePoints

* modify ScanNet data pre-processing scripts

* change ignore_idx to -1 in seg_eval function

* remove sliding inference from PatchSample function and modify unittest

* remove PatchSample from scannet seg test_pipeline

* 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 open3d visual

* modify docstring

* use bbox and coord convert

* modify docstring

* fix bugs for unittest

* fix bugs for unittest

* modify doc

* add visualize script and modify docs

* modify docs

* fix bugs

* Adjust the directory structure of tests

* Adopted the new directory via _get_config_directory

* Adopted the new directory via _get_config_directory

* Adopted the new directory via _get_config_directory

* modified the wrong code comments