Getting started

July 25, 2024 ยท View on GitHub

Training

  1. Train SparseOcc on SemanticKITTI with 8 GPUs
bash tools/dist_train.sh ./projects/configs/sparseocc/sparseocc_kitti.py 8
  1. Train SparseOcc on OpenOccupancy
bash tools/dist_train.sh ./projects/configs/sparseocc/sparseocc_nusc_256.py 8

During the training process, the model is evaluated on the validation set after every epoch. The checkpoint with best performance will be saved. The output logs and checkpoints will be available at work_dirs/$CONFIG or at location specified in config.

Evaluation

Evaluate with 8 GPUs:

bash tools/dist_test.sh $PATH_TO_CFG $PATH_TO_CKPT 8