GitLab

* add 1_exist_data_model.md chinese version

* add 1_exist_data_model.md chinese version

* add 1_exist_data_model.md chinese version

* add 1_exist_data_model.md chinese version

* add 1_exist_data_model.md chinese version & modify 1_exist_data_model.md english version

* add 1_exist_data_model.md chinese version & modify 1_exist_data_model.md english version

* add 1_exist_data_model.md chinese version & modify 1_exist_data_model.md english version

* add 1_exist_data_model.md chinese version & modify 1_exist_data_model.md english version

* Fix typos

* Update sample configs

* Fix typos

* Refine 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

* fix urls that end with .md

* more

* remove max_num_point in ScanNet data preprocessing

* add config file for ScanNet semantic segmentation dataset

* modify NormalizePointsColor in pipeline

* add visualization function for semantic segmentation

* add ignore_index to semantic segmentation visualization function

* add ignore_index to semantic segmentation evaluation function

* fix ignore_index bug in semantic segmentation evaluation function

* add test function to check ignore_index assignment in PointSegClassMapping

* fix slicing bug in BasePoints class and add unittest

* add IndoorPatchPointSample class for indoor semantic segmentation data loading and add unittest

* modify LoadPointsFromFile class and its unittest to support point color loading

* fix data path in unittest

* add setter function for coord and attributes of BasePoint and modify unittest

* modify color normalization operation to work on BasePoint class

* add unittest for ScanNet semantic segmentation data loading pipeline

* fix ignore_index bug in seg_eval function

* add ScanNet semantic segmentation dataset and unittest

* modify config file for ScanNet semantic segmentation

* fix visualization function and modify unittest

* fix a typo in seg_eval.py

* raise exception when semantic mask is not provided in train/eval data loading

* support custom computation of label weight for loss calculation

* modify seg_eval function to be more efficient

* fix small bugs & change variable names for clarity & add more cases to unittest

* move room index resampling and label weight computation to data pre-processing

* add option allowing user to determine whether to sub-sample point clouds

* fix typos & change .format to f-string & fix link in comment

* save all visualizations into .obj format for consistency

* infer num_classes from label2cat in eval_seg function

* add pre-computed room index and label weight for ScanNet dataset

* replace .ply with .obj in unittests and documents

* add TODO in case data is on ceph

* add base dataset for all semantic segmentation tasks & add ScanNet dataset inheriting from base dataset

* rename class for consistency

* fix minor typos in comment

* move Custom3DSegDataset to a new file

* modify BasePoint setter function to enable attribute adding

* add unittest for NormalizePointsColor and fix small bugs

* fix unittest for BasePoints

* modify ScanNet data pre-processing scripts

* change ignore_idx to -1 in seg_eval function

* remove sliding inference from PatchSample function and modify unittest

* remove PatchSample from scannet seg test_pipeline

* Replace original links by absolute md/html links

* Use html links to replace relative md links

* Fix relative links

* Fix relative paths/links

* Fix relative paths

* Fix relative paths

* 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