GitLab

* 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

* fix link to convert_votenet_checkpoints.py

* remove redundant space in docstring

* fix typos

* fix link and latex citation in README

* fix link error for publish_model.py

* fix link error for regnet2mmdet.py

* fix link error for files under tools/misc/ folder

* fix link error for files under tools/analysis_tools/ folder

* fix latex citation in README_zh-CN.md

* fix typo and a link to mmdet

* add h3d backbone

* add h3d backbone

* add h3dnet

* modify scannet config

* fix bugs for proposal refine

* fix bugs for test backbone

* add primitive head test

* modify h3dhead

* modify h3d head

* update loss weight config

* fix bugs for h3d head loss

* modify h3d head get targets function

* update h3dnet base config

* modify weighted loss

* Revert "Merge branch 'h3d_u2' into 'master'"

This reverts merge request !5

* add open3d visual

* modify docstring

* use bbox and coord convert

* modify docstring

* fix bugs for unittest

* fix bugs for unittest

* modify doc

* add visualize script and modify docs

* modify docs

* fix bugs

* Fix log analysis

* Update useful_tools.md

* 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