Question about Semantic3d data preparation.
Why are we converting point clouds to .npy instead of .ply format?
Is this more convenient when using PyTorch? faster to read?
I have seen that the TF implementation of RandLa is using the ply format.
Thank you
Question about Semantic3d data preparation. Why are we converting point clouds to .npy instead of .ply format? Is this more convenient when using PyTorch? faster to read? I have seen that the TF implementation of RandLa is using the ply format. Thank you