GitLab

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

* grammatical errors

It will the keyerror 'gt_boxes' bug when evaluate on the test split, if we do not include this condition.

* update readme of mppnet

* fixbug of get_sequence_data when generate gt_database

* add mppnet in openpcdet

* add mppnet yamls

* add IOU_WEIGHT Flag

* add IOU_WEIGHT Flag

* add IOU_WEIGHT Flag

* add 16 frame effi_test

* add ctrans

* use effi crop

* update mppnet_head.py

* update mppnet_16frame.yaml

* update test.py

* add mppnet_4frame.yaml

* update mppnet_4frame.yaml

* update deted_template

* update det3d_template

* update yaml and clean mppnet head

* rm unused py and yaml

* update yamls

* fixbug of bs 2 eval

* fixbug of bs>1 eval

* update mppnet training code

* update training code

* rm unused file

* rm unused file

* reorganzie code

* reorginaze code

* add transformer.py with paper name

* add transformer.py with paper name

* add transformer.py with paper name

* reorganize code

* reorganize code

* reorganize code

* reorganize code

* reorganize code

* reorganize code

* reorganize code

* reorganize code

* rm unused code

* rm unused code

* format codes

* support save_to_file for WOD to save model predicted results

* fix small bug in generate_single_sample_dict

* support to load pred_boxes from result.pkl to avoid massive small object loading

* bugfixed: train with MPPNet

* bugfixed: remove num_frames in transformer.forward()

* bugfixed: remove num_frames in transformer.forward(), continue

* support to configure train/val result.pkl for ROI_BOXES_PATH for MPPNet

* update MPPNet codes

* bugfixed to support float32/float64 GT database

* update document
Co-authored-by: Shaoshuai Shi <shaoshuaics@gmail.com>

support MultiFrame setting for Waymo Open Dataset, add its config, needs to re-preprocess the Waymo Dataset to save speeds/accels, save new GT database

* feat: support torch>=1.11

Fix #900.
Support PyTorch version >= 1.11. Referring to https://github.com/pytorch/pytorch/pull/66765 and https://github.com/pytorch/pytorch/wiki/TH-to-ATen-porting-guide.

* fix: Remove preproc torch version check macros

* To make different spconv version compatible for focalsconv

For kitti-like custom datasets, this will help.

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