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>

* 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

* Add Tag to configs

* Add Tag to configs

* Add Tag to config

* 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

* 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>

* Update links in model zoo

* Update links of mmcv

* fall back mmcv url

* Fix (torch.nonzero): Fix  warning of torch.nonzero and bug of nms_iou

* Fix contiguous warning of tensor

* Update CI with pt1.6

* update build action

* recover ci

* Add force cuda

* Use mmcv-full==1.0.5

* Fix nonzero warning

* Update CI config

* update links

* fix unit tests

* fix unit tests

* Lock pytorch version in CI

* Lock pytorch version in CI

* Lock pytorch version in CI

* Try specify torchlink

* Try specify torchlink

* Only add 3.7 for CI

* fix synctax error

* Use 1.3.0

* Use 1.3.0 and specify mmcv

* give up 1.3

* fix cublas issue

* fix cublas issue

* update build configs

* Update model links

* Update doc

* Update install

* clean workflow