GitLab

* 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>

* To make different spconv version compatible for focalsconv

* 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>

* fix TypeError in ROI subsampling function

* add comment

* Fix missing __init__.py

* Add further missing __init__.py

* add dynamic pillar vfe

* make the upperbound unaccessible

* add place holder for voxel generation

* add DynPillarVFE

* add PFNLayerV2

* add try except for torch_scatter package

* add dynamic pillar in readme

* add the cfg file of centerpoint with dynamic pillar

* recover original mask_points_by_range

* masking points with points_coords out of grid_size

* add dynamic voxelization and config for voxel_rcnn

* add multi_scale_3d_strides in resbackbone

* add dynamic pillar vfe

* make the upperbound unaccessible

* add place holder for voxel generation

* add DynPillarVFE

* add PFNLayerV2

* add try except for torch_scatter package

* add dynamic pillar in readme

* add the cfg file of centerpoint with dynamic pillar

* recover original mask_points_by_range

* masking points with points_coords out of grid_size

* add dynamic voxelization and config for voxel_rcnn

* add dynamic pillar vfe

* make the upperbound unaccessible

* add place holder for voxel generation

* add DynPillarVFE

* add PFNLayerV2

* add try except for torch_scatter package

* add dynamic pillar in readme

* add the cfg file of centerpoint with dynamic pillar

* recover original mask_points_by_range

* masking points with points_coords out of grid_size

* add dynamic pillar vfe

* make the upperbound unaccessible

* add place holder for voxel generation

* add DynPillarVFE

* add PFNLayerV2

* add try except for torch_scatter package

* add dynamic pillar in readme

* add the cfg file of centerpoint with dynamic pillar

update back to original version of torch.div and torch.meshgrid to also support lower version pytorch

* support PointPillar (anchor-based, anchor-free) for WOD datasets

* update OpenPCDet to v0.5.1

bugfixed: weights transformation between spconv 1.x and spconv 2.x, should consider both native/implicit spconv 2.x