GitLab

* remove mmseg max ver limit

* install mmdet 2.11.0

* mmseg < 0.14.1

* change mmseg to mmsegmentation

* fix mmseg to 0.14.0

* Bump to v0.14.0

* remove the parameter label_weight

* 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

* Add compatibility doc based on #470

* Update zh-CN readme

* add VoteNet ckpt conversion and fix relative path

* fix another relative path under docs folder

* fix typo

* beautify docs and change order in compat doc

* Bump to v0.13.0

* modify version.py and be more specific in changelog.md

* space before brackets

* specific pytorch 1.8 issue

* version in getting_started.md

* fix bugs

* add few bugfix

* Update changelog.md

* Update changelog.md

* Update getting_started.md

* Adjust the orders of bug fixes

* Update getting_started.md

* Update changelog.md
Co-authored-by: twang <30491025+Tai-Wang@users.noreply.github.com>

* 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

* 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>

* Update README.md

* Update README_zh-CN.md

* Update getting_started.md

* Update changelog.md

* Change pdf to abs link and revise the highlights

* Update README.md

* Update README_zh-CN.md

* Update getting_started.md

* Update version.py

* Update changelog.md

* Update changelog.md

* Update changelog.md

* Modify README

* modify the mmdetection to mmdetection3d in CONTRIBUTING.md and add model zoo link before demo in getting_started.md

* arxiv->Arxiv

* Add model zoo link

* Update README.md

* Update getting_started.md

* Update version.py

* Update changelog.md

* Update numpy requirements

* Update runtime.txt

* Merge minor items

* Add support for SemanticKITTI dataset

* Update README.md

* Update version.py

* Update getting_started.md

* Update __init__.py

* Update changelog.md

* Update README.md

* Update news for nuScenes detection challenge

* Update README to be compatible with refactored doc

* Update an installation subtitle

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

* Refactor get_started.md primarily

* Create data_preparation.md

* Refactor model_zoo.md

* Remove the title

* Put Data Preparation under Get Started

* Adjust the level of Model Zoo

* Create 1_exist_data_model.md

* Create 2_new_data_model.md

* Update 1_exist_data_model.md

* Create useful_tools.md

* Update index.rst

* Delete install.md

* Adjust the order of get started subsections

* First complete version for customized datasets

* Update Tutorial 1

* Moved into Tutorials

* Update titles of tutorial 3

* Update 2_new_data_model.md

* Update 1_exist_data_model.md

* Update links to relative paths

* Tutorial 2 revised

* Delete finetune.md

* Create customize_models.md

* Create customize_runtime.md

* Update index.rst

* Update waymo.md

* Delete new_modules.md

* Preliminary update

* Update customize_models.md

* Update useful_tools.md

* Update title

* Fix a typo of tutorial 4

* Update level of titles

* Merge verification and demo

* Update 1_exist_data_model.md

* Update [Dataset Conversion]

* Update 2_new_data_model.md

* Update customize_dataset.md

* Update the example of customized dataset

* Update customize_dataset.md

* Enhance the doc structure

* Update README.md

* Change the abs path to relative path

* Add gitlab CI back

* clean isort

* Update gitlab CI version

* Update mmcv install

* fix unit test bug

* waymo

* Use new flake8

* Update mmdet3d/core/evaluation/waymo_utils/prediction_kitti_to_waymo.py, tools/data_converter/waymo_converter.py files

* Add baseline configs for waymo

* fix linting

* yapf reformat

* update waymo results

* Update waymo model zoo and docs

* Bump v0.6.0

* Fix a minor bug when converting waymo data

* Fix cmds in the waymo doc

* Fix setup.cfg to pass isort test

* Fix waymo configs

* Update model zoo link & doc

* update version date

* clean ci
Co-authored-by: wangtai <wangtai@sensetime.com>
Co-authored-by: Tai-Wang <tab_wang@outlook.com>

* Add ply convert

* Change example.

* Change shell to python.

* Refine docs and license

* Change order of install

* Clean unnecessary requirements

* Install mmdet manually in readthedocs

* delete mmdet install

* reformat docstring in code

* Refine docs

* Reformat

* fix format issue

* Fix setup missing

* Update docs