Implemented the simtrack model based on MindSpore
Ubuntu 20.04
python=3.8
MindSpore=1.8
cuda=11.1
python ./datasets/create_data.py nuscenes_data_prep --root_path=NUSCENES_TRAINVAL_DATASET_ROOT --version="v1.0-trainval" --nsweeps=10
python -m torch.distributed.launch --nproc_per_node=8 ./train.py examples/point_pillars/configs/nusc_all_pp_centernet_tracking.py --work_dir SAVE_DIR
In ./model_zoo
we provide our trained (pillar based) model on nuScenes.
Note: We currently only support inference with a single GPU.
python ./val_nusc_tracking.py examples/point_pillars/configs/nusc_all_pp_centernet_tracking.py --checkpoint CHECKPOINTFILE --work_dir SAVE_DIR