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Hello,
thanks a lot for your great work! Currently, I am trying to integrate the "completion3d" dataset into torch-point3d. To load the point cloud "h5" files I just used the same code as presented in this repo.
def load_h5(path, key='data', dtype=None, device=None):
f = h5py.File(path, 'r')
data = torch.tensor(f[key], dtype=dtype, device=device)
f.close()
return dataThe only thing is that it takes about 200 milliseconds to load one h5-file, which is really a lot of time for ~50KB data!
My env:
OS: Ubunut 20.04
RAM: 32GB
Drive: SSD
Are you also observing the same effect?
Do you plan to provide the dataset in other formats like plain text-file!
Thanks
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