GitLab

* add pvrcnn module code

* add voxelsa

* fix

* fix comments

* fix comments

* fix comments

* add stack sa

* fix

* fix comments

* fix comments

* fix

* add ut

* fix comments

* add deploy.yaml

* fix inference

* fix bugs

* fix bugs 2

* fix seg demo

* update use collate data in mmengine

* update data flow and ut

* update ut

* update code

* fix mapping bug

* fix comments

[Fix] replace mmcv's function and modules imported with mmengine's and sync the latest mmengine (#1765)

* replace mmcv to mmengine

* fix

* fix comments

* fix mmcv file client

* fix set_env

* fix mmcv file load and dump

* fix vis

* add the kitti and nuscenes judgemnet

* fix seg vis

* add docstring

* fix comments and ipynb bug

* fix registry bug

* fix ci problems

* add

* fix README typo (#1292)

* [Fix]fix init_model to support 'device=cpu' (#1275)

* fix init_model

* Refine warning message
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* fixed docs/zh_cn.getting_started (#1298)

* [Doc] Add documentation for multi-node train with pytorch original ddp (#1296)

* update mn_train

* update

* Fix typos
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* add multi-machine dist_train (#1303)

* Update Chinese document for speed benchmark

* Fix inappropriate expressions
Co-authored-by: ChaimZhu <zhuchenming@pjlab.org.cn>
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: Tai-Wang <tab_wang@outlook.com>
Co-authored-by: Subjectivist <xuejiapeng_upc@163.com>
Co-authored-by: Enze Xie <Johnny_ez@163.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>

* fix init_model

* Refine warning message
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* update isort

* update setuptools

* fix

* pre-commit run --all-files

* argument show, score_thr added to single_gpu_test

* Implemented label color visualization for show_result function

* Added show, score_thr argument for base 3 model(mmdetection3d)

* Fixed typo(color < 1) for show_result function

* Applied pre-commit run --all-files

* Revised documentation of show_result and revised variable name

* Updated documentation and set default value of score_thr to None

* add tochserve support

* fully support torchserve

* Delete the empty file

* fix typos

* add docstrings and doc

* add config.properties

* fix typos and dosctrings

* change pipeline name
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* refactor points_in_boxes

* Merge same functions of three boxes

* More docstring fixes and unify x/y/z size

* Add "optional" and fix "Default"

* Add "optional" and fix "Default"

* Add "optional" and fix "Default"

* Add "optional" and fix "Default"

* Add "optional" and fix "Default"

* Remove None in function param type

* Fix unittest

* Add comments for NMS functions

* Merge methods of Points

* Add unittest

* Add optional and default value

* Fix box conversion and add unittest

* Fix comments

* Add unit test

* Indent

* Fix CI

* Remove useless \\

* Remove useless \\

* Remove useless \\

* Remove useless \\

* Remove useless \\

* Add unit test for box bev

* More unit tests and refine docstrings in box_np_ops

* Fix comment

* Add deprecation warning

* 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

* Remove the legacy hack function for monocular dataset browsing

* Remove legacy import from stucture/__init__.py

* Remove legacy hacks for nuScenes visualization

* Add deleted show_bboxes initialization in inference.py

* Rollback deletion of hack function in core

* Adjust the deprecationwarning

* 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

* 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

* 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

* 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

* 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

* 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 nuimages visualization

* recover config

* support nuimages visualization

* support batchsize > 1

* add comments

* support nuscenes dataset in demo

* add convert_SyncBN in __init__

* fix meshlab visualization bug

* modify meshlab unittest

* add docstring

* add empty line in docstring
Co-authored-by: xiliu8006 <xiliu800@gmail.com>

* Move train_cfg/test_cfg to model

* Move train_cfg/test_cfg to model

* Move train_cfg/test_cfg to model

* Move train_cfg/test_cfg to model

* Move train_cfg/test_cfg to model

* Move train_cfg/test_cfg to model

* Move train_cfg/test_cfg to model

* Move train_cfg and test_cfg into model

* modify centerpoint configs

* Modify docs

* modify build_detector

* modify test_config_build_detector

* modify build_detector parameters

* Adopt the same strategy in build_detector