GitLab

Custom dataset

For kitti-like custom datasets, this will help.

* Update README.md

Merge to support Focals Conv (CVPR 2022 paper).

refactor database_sampler.py to support extending to other multimodal datasets (in addition to kitti)

* Reflect the changes of the default behavior of grid_sample and affine_grid. If PyTorch > 1.3.0 align_corners will be set to False by default. This is undesired behavior.

* Support grid_sample and affine_grid for PyTorch<1.3 as well.
Co-authored-by: Dusan Malic <dusan.malic@icg.tugraz.at>

Re-organize fix random seed code; Make saved checkpoint compatible among different torch versions (#986)

* fix TypeError in ROI subsampling function

* add comment

Updaet to 1000 temporarily to process old issues.

* bugfixed: stuck when training with dist_train.sh, support tcp_port

* bugfixed: solve the issue of blocking with dist_train.sh, automatically search tcp ports

add `operations-per-run: 300` to increase the limit of operations to process old issues.

* Fix missing __init__.py

* Add further missing __init__.py

* add cbgs_dyn_pp_centerpoint.yaml

* add cbgs_voxel01_res3d_centerpoint.yaml

* add support of centerpoint on Nuscenes in README

* add translation augmentation, re-implement the performance of CenterPoints with 0.075m voxels

* cover the original world translation augmentation

* modify random_translation_along_X

* fix a small bug in random_world_translation()

* add support for docker