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* add faq

* faq revised

* faq revised

* faq revised

* faq revised

* faq revised --- add title & add line to index.rst

* Update README.md

* Update README_zh-CN.md

* Update getting_started.md

* Update version.py

* Update changelog.md

* Update changelog.md

* Update changelog.md

[Fix] fix a bug that may cause compilation failure of dynamic voxelization when using GPUs with compute capability lower than 6.x (#326)

* fix a bug that may cause compilation failure of dynamic voxelization when using gpus with compute capability lower than 6.x
fix imperfection kernel code that may unintentionally discard valid points when input points count is larger than 50000 * 512 (nearly impossible though).

* Modified scatter_points_cuda.cu to ensure backward compatibility with PyTorch1.5 on CUDA9.0

* fix the issue of DynamicScatter gradient check failure by explicit mark non-floating-point tensor as non-differentiable.

* fix nonzero warning with as_tuple

* fix nonzero warning with as_tuple #320

* Reduce the open3d dependency

* Reduce the open3d dependency

* Reduce dependency of open3d if open3d is not used

* remove the warning in show_result

* a faster & more memory-efficient implementation of DynamicScatter

* fix format issues and add pytest skip code for tests on machines without cuda support

* some trivial changes:

decrease the number of kernel threads per block to 512, to enable inference on GPUs with computing capability lower than 2.0

change the backpropagation behavior of max-reduction. when there are multiple points shares the same maximum feature value, only the first point (with lowest row index) among them is chosen to propagate the output gradient back. before this change, all points with the same maximum feature value can propagate the output gradient back. this change makes the max-reduction behaves in consistence with torch.max. this change may cause gradcheck failure in test_dynamic_scatter.py. please do not worry about it because torch.max fails the gradcheck too.

* fix typo
Co-authored-by: zhanggefan <1152009@tongji.edu.cn>

* 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 bug caused by mmcv upgrade; delete pdb breakpoint

* fix typos

* use torch.cuda api

* update unittest for points_in_bbox_gpu and points_in_boxes_batch

* Added comments for explanation

* Add chinese version readme

* Delete useless words

* modify the link of dynamic voxelization

* modify readme

* remove it

* remove it

* modify chinese version readme

* delete the wrong whitespace

* Modify chinese readme

* Modify chinese readme

* modify chinese version readme

* 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

* 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

* fix bug caused by mmcv upgrade; delete pdb breakpoint

* fix typos

* Adjust the directory structure of tests

* Adopted the new directory via _get_config_directory

* Adopted the new directory via _get_config_directory

* Adopted the new directory via _get_config_directory

* modified the wrong code comments

* 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

* add ini

* add semantickitti_dataset

* add test semantickitti_dataset

* delete last line in test_semmaticdataset

* add test data

* change_names

* load_labels dytype

* change_name

* numpy

* name

* dtype string

* minor issue-string

* seg_3d_dtype

* Fix log analysis

* Update useful_tools.md

* fixed the bug about miss text files on kitti testing

* add bbox2result_kitti unit test

* add bbox2result_kitti unit test

* add exist_submission_file unit test

* deleted debug code and convert{} to dict()

* add _get_kitti_dataset_config()

* delete print

* add gif of demo

* add the right git path

* update nuimages_demo.gif

* compress the nuimages_demo.gif

* update nuimages_demo.gif

* update nuimages_demo.gif

* Fix bug when num_features != 4

* add voxelization unittest

* fixed CI without GPU

* use the numpy version to test the CUDA version
Co-authored-by: Guanghui Ren(任广辉) <sundrops.ren@gmail.com>

The tuple unpacked into three arguments when four were given when
running VoteNet on sunrgbd

* 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

* add nuimages entry in readme

* rephrase

* 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

* fix bugs for empty scene

* modify doc

* modify filter empty scene

* Add Tag to configs

* Add Tag to configs

* Add Tag to config

* 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

* Fix an old bug in box_np_ops, not used or influencing results

* Update a minor filter criterion in KITTI evaluation

* Update the fixed criterion, not influencing KITTI results

* fix indoor_eval in case of less classes in prediction

* fix style for formatters

* Fix the bug on the commit #211 for the create_gt_database in nuscenes