GitLab

* VoxelNeXt

* 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>

* 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>

* Fixes #718

* FIX: replaced wrong part
Co-authored-by: Christian Fruhwirth-Reisinger <christian.reisinger@student.tugraz.at>

* 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

support merge_all_iters_to_one_epoch to avoid deadlock when switching epochs, eval last 10 epochs after training

support merge_all_iters_to_one_epoch to avoid deadlock when switching epochs, eval last 10 epochs after training (#137)

support merge_all_iters_to_one_epoch to avoid deadlock when switching epochs, eval last 10 epochs after training

* bugfixed: support gt_sampling with empty scenes, add logger without log_file

* abstract load_data_to_gpu function in train/test

* add comments for supporting costum dataset

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