GitLab

* fix #460 and simplify configs

* fix duplicate key error

* delete unused _delete_

* add cosine docstring and fixed a bug

* revert config files under benchmark folder

* add type to runner in benchmark configs

* remove irrelevant change

* reuse pipeline in scannet-det dataset

* reuse pipeline in kitti dataset

* reuse pipeline in lyft dataset

* reuse pipeline in sunrgbd dataset

* reuse pipeline in nuscenes dataset

* reuse pipeline in waymo dataset

* reuse pipeline in scannet-seg dataset

* add eval_pipeline in configs which have custom data pipelines

* move data loading via pipeline to dataset._extract_data() for clarity

* use eval_pipeline in tools/misc/visualize_results.py

* get_pipeline from self when no pipeline is provided

* fix small bugs

* fix small bugs

* simplify and clear code

* remove unnecessary eval_pipeline added

* add comment about why we set self.test_mode=False

* small fix

* modify docs about config

* 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>

* 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

* add 3dssd model and log link

* add kitti devkit evaluation result

* update perfermance

* update perfermance

* modify perfermance

* 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 model zoo

* change bibtex and more doc

* Added image loading in SUNRGB-D dataset (#195)

* image loading

* format and docstring fix

* removed irrelevant files

* removed irrelevant files

* load image only if modality is pc+img

* added modality like nuscenes

* Added imvotenet image branch pretrain (#217)

* image loading

* naive commit

* format and docstring fix

* removed irrelevant files

* removed irrelevant files

* load image only if modality is pc+img

* added modality like nuscenes

* pretrain_2d_model

* finetune sunrgbd

* finetune sunrgbd

* deleted unused code

* fixed a bug

* resolve conflict

* update config file

* fix docstring and configs

* integrated vote fusion

* coords transform and unit test

* Update docstring

* refactor and add unit test

* fix bug caused by mmcv upgrade; delete pdb breakpoint

* add point fusion unittest

* remove unused file

* fix typos

* updates

* add assertion info

* update

* add unittest

* add vote fusion unittest

* add vote fusion unittest

* [Refactor] VoteNet refactor (#322)

* votenet refactor

* remove file

* minor update

* docstring

* initial update of imvotenet

* [Feature] Support vote fusion (#297)

* integrated vote fusion

* coords transform and unit test

* Update docstring

* refactor and add unit test

* add point fusion unittest

* remove unused file

* updates

* add assertion info

* update

* add unittest

* add vote fusion unittest

* add vote fusion unittest

* minor update

* docstring

* change np ops to torch

* refactor test

* update

* refactor of image mlp and np random ops to torch

* add docstring

* add config and mod dataset

* fix bugs

* add_comments

* fix bugs

* fix_bug

* fix bug

* fix bug

* fix bug

* fix bug

* final fix

* fix bug

* ?

* add docstring

* move train/test cfg

* change img mlp default param

* rename config

* minor mod

* change config name

* move train/test cfg

* some fixes and 2d utils

* fix config name

* fix config override issue

* config simplify & reformat

* explicitly set eval mode->override train()

* add fix_img_branch to config

* remove set_img_branch_eval_mode

* temporal fix, change calibs to calib

* more docstring and view/reshape, expand/repeat change

* complete imvotenet docstring

* fix docstring

* add config and some minor fix

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

* fix SECOND Waymo results

* fix pr number

* Update README.md

* Update README_zh-CN.md

* Update README.md

* 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

* fix bug caused by mmcv upgrade; delete pdb breakpoint

* fix typos

* 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

* add nuimages entry in readme

* rephrase

* Add Tag to configs

* Add Tag to configs

* Add Tag to config

* Enhance SECOND benchmark on Waymo

* Update log link

* support axis-aligned iou loss for votenet

* added doc for iou loss

* fixed problems in format

* updated docstring

* rename and format fix

* rename and format fix

* rename and format fix

* rename and format fix

* modified config

* abstracted axis_aligned_iou3d

* abstracted a bbox corner decode func

* fix docstring

* 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

* modify pipeline

* modify kitti pipeline

* fix bugs for points rotation

* modify multi sweeps

* modify multi sweep points

* fix bugs for points slicing

* modify BackgroundPointsFilter

* modify pipeline

* modify unittest

* modify unittest

* modify docstring

* modify config files

* update configs

* modify docstring

* Update README.md

* Update __init__.py

* Update changelog.md

* Update changelog.md

* Fix a minor typo

* Fix minor typos

* Update changelog.md

* make nuimage cat order consistent

* support semantic seg

* update model links

* update readme

* Update votenet config README

	modified:   configs/votenet/README.md

* updated .pre-commit-config.yaml and beautified style\

* deleted unused files

* update votenet config doc

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

* Add ssn benchmark on nuscenes

* Update preliminary nuscenes results

* Update model_zoo.md

* RegNetX-SSN updated

* Add ssn regnet benchmark on Lyft

* RegNetX-SSN on Lyft updated

* Modify the batch size in the ssn regnet config name

* Memory of RegNetX-SSN on Lyft updated

* Model and log links updated

* Model and log links updated

* Support to train using FP16

* fix type inconsistency error on naive syncBN

* resolve comments

* clean nan check

* clean nan check

* clean unnecessary modification

* update model link

* add votenet model convert script

* fix bugs of votenet config

* modify scripts

* add docstring

* Able to double_flip test.

* Remove nms_post_max_size

* Able to merge then nms for tta.

* Able to merge then nms for tta.

* reproducible performance.

* Add more configs.

* Able to use scale tta.

* Move scale aug to merge_aug_bboxes_3d

* Remove brackets, add comments.

* Delete unnecessary configs, Add instruction in README.

* Add docstring.

* Change readme, add empty line.

* Change name.

* Add tta in unittest.

* Add 'to cpu'

* Add simple test

* Move 'to cpu'

* Add full tta config

* Delete circle_nms tta config, change max_num.

* Update benchmark

* Remove unnecessary code, move position of flip.

* Complete docstring.

* Add comment for double flip change.

* Add second config for waymo

* Update README.md

* Update README.md

* Fix a minor typo in the kitti log link

* Add ssn config on Lyft

* Update readme of pointpillars

* Update SSN readme

* Update model_zoo.md

* Update README.md

* Fix a minor typo in the nus regnet config

* Update README.md

* Add download path.

* Update benchmark.

* Complete benchmark.

* Add link between circle nms and w/o circlenms

* Support to train using FP16

* fix type inconsistency error on naive syncBN

* resolve comments

* clean nan check

* Add overall evaluation

* Add config waymo-3d-car.py

* Update README.md

* Create hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-3class.py

* Create hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-car.py

* Delete waymo-3d-car.py

Instead of using new dataset config, we change the load_interval in the config for specific usage.

* update url links
Co-authored-by: Tai-Wang <tab_wang@outlook.com>
Co-authored-by: twang <30491025+Tai-Wang@users.noreply.github.com>

* fix dcn bias bug in centerpoint

* fix unit tesats bug of empty iou calculation

* Update links in model zoo

* Update links of mmcv

* fall back mmcv url