GitLab

* 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

* 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

* pip install mmsegmentation

Change from mmseg to mmsegmentation.

* Update Dockerfile
Co-authored-by: Yezhen Cong <52420115+THU17cyz@users.noreply.github.com>

* 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

* Add Lyft fixer file and instructions

* Restore Lyft split files

* [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

* fix urls that end with .md

* more

* add configs for pn2 on s3dis

* fix bugs

* add README for PN2 segmentor

* update configs file after experiments

* update README

* add base schedule files for seg configs

* rename pn2_seg config files

* update pn2 links in README

* add metafile for pn2

* build BaseSegmentor for point sem seg

* add encoder-decoder segmentor

* update mmseg dependency

* fix linting errors

* warp predicted seg_mask in dict

* add unit test

* use build_model to wrap detector and segmentor

* fix compatibility with mmseg

* faster sliding inference

* merge master

* configs for training on ScanNet

* fix CI errors

* add comments & fix typos

* hard-code class_weight into configs

* fix logger bugs

* update segmentor unit test

* logger use mmdet3d

* use eps to replace hard-coded 1e-3

* add comments

* replace np operation with torch code

* add comments for class_weight

* add comment for BaseSegmentor.simple_test

* rewrite EncoderDecoder3D to avoid inheriting from mmseg