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* use timm style to record log by logger
Co-authored-by: hova88 <yanhaixu@senior.auto>

* support amp
Co-authored-by: yukang <yukangchen@cse.cuhk.edu.hk>

* New CenterPoint parameters and scores

*  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.

pillarnet: https://arxiv.org/abs/2205.07403

* update readme of mppnet

* fixbug of get_sequence_data when generate gt_database

* update centerpoint_4frames yaml for using all training datasets

* update readme of mppnet

* fixbug of get_sequence_data when generate gt_database

update readme of MPPNet

add readme and update yaml of MPPNet

* 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>

 Merge pull request #1087 from sshaoshuai/dev_v0.6