GitLab

* 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

* extract RGB images for ScanNet

* update scannet_data_utils with rgb

* fix docs an tools; add use_camera to ScanNetDataset

* fix typos is scannet doc

* fix very rare undefined poses for ScanNet

* update ScanNet dataset for more clear MultiViewPipeline

* update compatibility for ScanNet

* fix typo in compatibility doc

* use mmcv.track_parallel_progress for scannet images

* Fix docstring typos and change formats for api-doc to work

* Test on fixing noqa

* Fix noqa

* Fix noqa

* support 3dssd

* support one-stage method

* for lint

* support two_stage

* Support all methods

* remove init_cfg=[] in configs

* test

* support h3dnet

* fix lint error

* fix isort

* fix code style error

* fix imvotenet bug

* rename init_weight->init_weights

* clean comma

* fix test_apis does not init weights

* support newest mmdet and mmcv

* fix test_heads h3dnet bug

* rm *.swp

* remove the wrong code in build.yml

* fix ssn low map

* modify docs

* modified ssn init_config

* modify params in backbone pointnet2_sa_ssg

* add ssn direction init_cfg

* support segmentor

* add conv a=sqrt(5)

* Convmodule uses kaiming_init

* fix centerpointhead init bug

* add second conv2d init cfg

* add unittest to confirm the input is not be modified

* assert gt_bboxes_3d

* rm .swag

* modify docs mmdet version

* adopt fcosmono3d

* add fcos 3d original init method

* add init cfg

* add init cfg

* modify fcos3d init_weights

* deleted error merge code

* deleted useless code

* remove useless code

* add get_flops.py

* modify SSD to support flops calc

* update docs

* support mono3d models

* 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

* converted rt_mat from ndarray to tensor to make it further compatible

* changed if condition of rt_mat to be consistent with code

* Bump to v0.15.0

* fix typo, specific bugfix, install version

* fix LoadMultiViewImageFromFiles

* compatibility about mmcv version

* unravel multi-view img to list

* add unit test

* support 3dssd

* support one-stage method

* for lint

* support two_stage

* Support all methods

* remove init_cfg=[] in configs

* test

* support h3dnet

* fix lint error

* fix isort

* fix code style error

* fix imvotenet bug

* rename init_weight->init_weights

* clean comma

* fix test_apis does not init weights

* support newest mmdet and mmcv

* fix test_heads h3dnet bug

* rm *.swp

* remove the wrong code in build.yml

* fix ssn low map

* modify docs

* modified ssn init_config

* modify params in backbone pointnet2_sa_ssg

* add ssn direction init_cfg

* support segmentor

* add conv a=sqrt(5)

* Convmodule uses kaiming_init

* fix centerpointhead init bug

* add second conv2d init cfg

* add unittest to confirm the input is not be modified

* assert gt_bboxes_3d

* rm .swag

* modify docs mmdet version

* adopt fcosmono3d

* add fcos 3d original init method

* fix mmseg version

* add init cfg in fcos_mono3d.py

* merge newest master

* remove unused code

* modify focs config due to changes of resnet

* support imvoxelnet pointnet2

* modified the dependencies version

* support decode head

* fix inference bug

* modify the useless init_cfg

* fix multi_modality BC-breaking

* fix error blank

* modify docs error

* group-free-3d head

* GroupFree3DNet->VoteNet

* modify docstring

* bugfix: calculate pts_instance_label, decoder self/cross posembed init

* support GroupFree3DNet, modify scannnet train config

* support point cloud input features dim = 0

* add groupfree3dnet test case

* bugfix: softmax in decode boxes

* support multi-stage predictions

* modify GroupFree3DMultiheadAttention input parameters

* refactor: support sunrgbd-based train

* refactor: support sunrgbd-based train

* fix parts of bug

* modify multi-stage prediction

* fixbug: conv_channels

* bugfix: permute

* bugfix: permute

* bugfix: expand

* fix MAX_NUM_OBJ=64

* 4 gpu training, score_thr = 0.0

* modify config, repeattime=1

* bigfix: expand

* modify: GroupFree3DMHA, build_positional_encoding

* modify: GroupFree3DMHA, build_positional_encoding

* bugfix: torch.nn

* bugfix: mean loss

* residual -> identity

* fix name: DropOut -> Dropout

* delete sunrgbd-based congfig

* Fix: trailing whitespace

* suffix -> prefix

* bugfix: groupfree3d config
Co-authored-by: jinhui <PJLAB\jinhui@shai14001019l.pjlab.org>

* refactor K and Rt to depth2img for SUN RGB-D

* fix lint

* update 3 tests

* fix extra calib key and comments

* remove calib from browse_dataset

* fix cam to depth; rename return_z

* remove mmseg max ver limit

* install mmdet 2.11.0

* mmseg < 0.14.1

* change mmseg to mmsegmentation

* fix mmseg to 0.14.0

* first try of kitti

* fix python3

* imvoxelnet is ready for open-mmlab/mmdetection3d

* apply pre-commit

* update to ConvModule and AlignedAnchor3DGenerator

* add unit tests

* fix torch.Tensor in docstrings

* revert anchor ranges

* refactor PN SA module code

* refactor PAConv op & add PAConvSAModule

* add unit test

* add PAConvCUDA SA module

* add unit test

* minor fix

* merge master

* move paconv sa modules to a new file

* rename to BasePointSAModule

* rename to PAConvCUDASAModule

* delete typing comment

* refine docs

* rename mlp_spec to mlp_channel

* fix typos in comment

* Add reference in`sample_valid_seeds` function used by ImVoteNet

* add r to docstring

* enhance IndoorPatchPointSample

* modify configs and unit test

* add docs & comment

* fix legacy bug

* minor fix

* keep sample_rate and add warning

* support knn query in QueryAndGroup

* add cuda implemented assign_scores op

* add unit test for paconv assign_score op

* refactor op

* add non-cuda & cuda version PAConv

* minor fix

* fix cuda-9.0 compatibility

* add weight init of paconv

* fix typos

* refactor paconv

* 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

* Bump to v0.14.0

* remove the parameter label_weight

* remove useless label_weight args in dataset class

* modify unit tests

* update compatibility docs

* move _get_data to utils

* add comment

* add RandomJitterPoints transform

* add unit test

* add comments

* minor fix

* add knn_heap gpu op support

* add unit test

* remove old knn & rename knn_heap to knn

* interface consistency

* add RandomDropPointsColor transform

* add unit test

* add link to PAConv

* [Fix] Converting point with specify rt_matrix

* boundary condition

* more readability and comprehensibility

* fix comment errors

* add eval_pipeline in mono-nuscene cfg

* add vis function in nuscene-mono dataset

* refactor vis function to support all three mode boxes proj to img

* add unit test for nuscene-mono show func

* browse_dataset support nuScenes_mono

* add show_results() to SingleStageMono3DDetector

* support mono-3d dataset browse

* support nus_mono_dataset and single_stage_mono_detector show function

* update useful_tools.md docs

* support mono-3d demo

* add unit test

* update demo docs

* fix typos & remove unused comments

* polish docs

* fix if condition to enable KITTI detectors eval on nus/lyft datasets

* fix comments

* 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

* [Fix] Updating mmcv_version to be consistent with mmseg and to support MMCLI

* updating get_started.md

* updating mminstall to be the pip requirement format