GitLab

* VoxelNeXt

*  the offical support of ONCE dataset from ONCE team
Co-authored-by: JiagengMao <maojg@zju.edu.cn>
Co-authored-by: JiagengMao <maojiageng@gmail.com>

For kitti-like custom datasets, this will help.

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

* Add basic support for Pandaset dataset

* Add gt_sampling support for pandaset

* Enable training on different classes than raw dataset

* Save pandaset output in the same format as annotations

* Add dataset config file for pandaset

* Make pandaset dataset compatible with test.py

- add 'evaluation' method
- add 'name' key to predictions dict

* Enable selecting lidar device for pandaset

* bugfixed: support merge_all_iters_to_one_epoch in dataloader

add dataset template codes with data_augmentor and data_processor structure in the unified normative coodinates, and utils codes