sparse-to-dense.pytorch
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How is the loss calculated for KITTI dataset ?
I would like to know how is the loss calculated for KITTI dataset since depth information comes from LiDAR and is sparse(18k/208k in the paper). Does it only calculate loss for those prediction that have a corresponding groundtruth? If it does, how to make sure that those prediction that don't have their corresponding groundtruth are within a range or not