GitLab

* [Fix] Refine tutorials docs

* refine docs

* refine docs

* 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

* add seg tutorial

* specify sem seg

* fix typo

* ScanNet-doc: data prepare and train pipeline

* add metric of scannet

* Fix: data prepare link, summary sentence, 'inwhich'

* simplify code script

* simplify code script, add few comments

* Fix typos

* Update sample configs

* Fix typos

* Refine docs

* Add mmseg in the doc config files

* Remove mocked cv2

* Add opencv-python

* Remove mocked imports

* Add mminstall requirements

* Remove mocked imports correspondingly

* Fix mmdet versions

* Fix mmseg version

* Rename 0_demo.md to demo.md

* Move demo to Get Started

* Update Verification correspondingly

* remove mmseg max ver limit

* install mmdet 2.11.0

* mmseg < 0.14.1

* change mmseg to mmsegmentation

* fix mmseg to 0.14.0

* add readme for imvoxelnet

* Update download links in README

* Init with LiDAR-Based 3D Detection Tutorial

* Add supported tasks doc

* Create lidar_det3d.md

* Delete supported_tasks.md

* Create index.rst

* Update lidar_det3d.md

* 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

* Fixed wrong config paths and fixed a bug in test

* Fixed metafile

* enhance IndoorPatchPointSample

* modify configs and unit test

* add docs & comment

* fix legacy bug

* minor fix

* keep sample_rate and add warning

* fix when killing before eval

* fix resume log

* add chinese doc

* update

* 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 tools/dist_train.sh exec permission

* add tools/create_data.sh exec permission

* [Fix] Supplying the model for lyft trained by regnet

* updating readme in regnet

* 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] Supplying the model for lyft trained by pointpillars

* updating metafile in pointpillars

* updating lyft model info in ssn readme

* [Fix] Converting point with specify rt_matrix

* boundary condition

* more readability and comprehensibility