GitLab

* VoxelNeXt

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

* 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

* Fixes #718

* FIX: replaced wrong part

* #719 Fixes index error max_dt while inference: No gt_db_sampling -> MAX_SWEEPS-1 > # unique dt (e.g. first frame)

* move max_sweeps filter to PointFeatureEncoder with new config FILTER_SWEEPS

* update to lowercase
Co-authored-by: Christian Fruhwirth-Reisinger <christian.reisinger@student.tugraz.at>
Co-authored-by: Shaoshuai Shi <shaoshuaics@gmail.com>

* Added CaDDN detector and support for image, depth map, and 2D GT box
dataloading

* Moved image flip augmentation to augmentor_utils

* Updated default get item list to include points

* Moved utils functions into transform_utils

* Combined FFE + F2V into ImageVFE, renamed FFE to FFN, moved depth downsample into data_processor

* Updated README with updated CaDDN weights

* Updated comments for image vfe

In data_processor.py sample_points, when num_points < far_idx_choice, a negative value is passed into np.random.choice, which cause a ValueError.
In fact the variable `near_idxs_choice` return by the deleted line is never used.

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