GitLab

* support semantic seg in flip

* change box_dtype_3d to bbox3d_fields

* Add header for files

* Add header for files

* Add header for files

* Add header for files

* replace all cam_intrinsic

* revert cam_intrinsic in test

* remove rect and fix lint

* replace IndoorPointSample to PointSample

* add comments for PointSample transform

* fix bug when far points > num_sample

* refine format

* add unit test

* minor fix

* minor fix

* [Enhance] Sampling points based on distance metric

* fix typo

* refine unittest

* refine unittest

* refine details & add unittest & refine configs

* remove __repr__ & rename arg

* fix unittest

* add unitest

* refine unittest

* refine code

* refine code

* refine depth calculation

* refine code

* add cfg

* add eps format

* update README

* update model zoo

* add paconv readme

* add metafile

* hack drop_ratio

* use base schedule cfg

* remove paconv cuda

* monor fix

* remove paconv cuda config related

* update paconv benchmark

* update model link

* set gravity center origin

* remove filter transform in 3DSSD cfg

* add PAConv decode head

* add config files

* add paconv's correlation loss

* support reg loss in Segmentor class

* minor fix

* add augmentation to configs

* fix ed7 in cfg

* fix bug in corr loss

* enable syncbn in paconv

* rename to loss_regularization

* rename loss_reg to loss_regularize

* use SyncBN

* change weight kernels to kernel weights

* rename corr_loss to reg_loss

* minor fix

* configs fix IndoorPatchPointSample

* fix grouped points minus center error

* update transform_3d & add configs

* merge master

* fix enlarge_size bug

* refine config

* remove cfg files

* minor fix

* add comments on PAConv's ScoreNet

* refine comments

* update compatibility doc

* remove useless lines in transforms_3d

* rename with_loss_regularization to with_regularization_loss

* revert palette change

* remove xavier init from PAConv's ScoreNet

* Fix rotation and dim hacks between nuscbox and our cambox

* Remove hack in the mono browse, fix cam_intrinsic in the RandomFlip3D

* Apply a more suitable hack transformation (dim & yaw hack)

* Fix incorrect transformation of dim in post-processing

* Remove transformation from global to local yaw in kitti mono dataset

* Add comments for cam_intrinsic modification in the doc and code

* Fix typos and invalid links

* Add compatibility doc for fixing nus hacks

* Update benchmark

* fix bev_range problem with points in different coordinate systems

* changed checking instance on points to gt_bboxes_3d to make it compatible with test

* sort imports

* enhance IndoorPatchPointSample

* modify configs and unit test

* add docs & comment

* fix legacy bug

* minor fix

* keep sample_rate and add warning

* fix bg_points_filter

* fix 3dssd bg_point_filter bug

* fix bg_filter bug in 3dssd

* update performance

* add model download link

* unit test for LoadImageFromFileMono3D

* fix GlobalRotScaleTrans assertion

* add unit test for ObjectNameFilter

* add unit test for ObjectRangeFilter

* add RandomJitterPoints transform

* add unit test

* add comments

* minor fix

* add RandomDropPointsColor transform

* add unit test

* add link to PAConv

* remove registry.py in datasets/

* remove registry.py in ops/pointnet_modules/

* remove registry.py in models/

* refactor builder using mmcv.MODELS registry

* update mmcv min version requirement

* change min mmcv version requirement in mmdet3d/__init__.py

* min mmcv version to 1.3.2

* modify PointShuffle and add unittest

* modify PointsRangeFilter and add unittest

* fix small bugs in IndoorPointSample

* fix small typos in docstring

* 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

* Added image loading in SUNRGB-D dataset (#195)

* image loading

* format and docstring fix

* removed irrelevant files

* removed irrelevant files

* load image only if modality is pc+img

* added modality like nuscenes

* Added imvotenet image branch pretrain (#217)

* image loading

* naive commit

* format and docstring fix

* removed irrelevant files

* removed irrelevant files

* load image only if modality is pc+img

* added modality like nuscenes

* pretrain_2d_model

* finetune sunrgbd

* finetune sunrgbd

* deleted unused code

* fixed a bug

* resolve conflict

* update config file

* fix docstring and configs

* integrated vote fusion

* coords transform and unit test

* Update docstring

* refactor and add unit test

* fix bug caused by mmcv upgrade; delete pdb breakpoint

* add point fusion unittest

* remove unused file

* fix typos

* updates

* add assertion info

* update

* add unittest

* add vote fusion unittest

* add vote fusion unittest

* [Refactor] VoteNet refactor (#322)

* votenet refactor

* remove file

* minor update

* docstring

* initial update of imvotenet

* [Feature] Support vote fusion (#297)

* integrated vote fusion

* coords transform and unit test

* Update docstring

* refactor and add unit test

* add point fusion unittest

* remove unused file

* updates

* add assertion info

* update

* add unittest

* add vote fusion unittest

* add vote fusion unittest

* minor update

* docstring

* change np ops to torch

* refactor test

* update

* refactor of image mlp and np random ops to torch

* add docstring

* add config and mod dataset

* fix bugs

* add_comments

* fix bugs

* fix_bug

* fix bug

* fix bug

* fix bug

* fix bug

* final fix

* fix bug

* ?

* add docstring

* move train/test cfg

* change img mlp default param

* rename config

* minor mod

* change config name

* move train/test cfg

* some fixes and 2d utils

* fix config name

* fix config override issue

* config simplify & reformat

* explicitly set eval mode->override train()

* add fix_img_branch to config

* remove set_img_branch_eval_mode

* temporal fix, change calibs to calib

* more docstring and view/reshape, expand/repeat change

* complete imvotenet docstring

* fix docstring

* add config and some minor fix

* rename config
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

* 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

* modify pipeline

* modify kitti pipeline

* fix bugs for points rotation

* modify multi sweeps

* modify multi sweep points

* fix bugs for points slicing

* modify BackgroundPointsFilter

* modify pipeline

* modify unittest

* modify unittest

* modify docstring

* modify config files

* update configs

* modify docstring

* 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

* [Fix]: fix label type bug when using dbsampler

* Unify cat_id for more general usage

* fix CI bugs

* keep astype np.long

* add data_aug BackgroundPointsFilter

* modify BackgroundPointsFilter

* modify BackgroundPointsFilter

* 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