对如何在 matlab 中的 HDF5 文件中存储 3D 矩阵感到困惑？

Question

I have multiple 3D matrices that need to be stored in a hdf5 file. I have looked everywhere but i am confused about the process of storing data in hdf5 file. Can i store multiple 3D matrices in a single dataset in hdf5 file or do i have to create separate dataset for each 3D matrix? I need this dataset for training a 3D CNN model. If both ways are possible, which is the best for training purpose?

Additional information: Matrix size is 12x24x12 and a single data takes less than 100 kb storage space. Dataset is created in matlab and the resultant file will be used in python (where the model will be trained).

Answer 1

In matlab you specify -v3.7 to save stuff in hdf5. You save your matrices like this:

mat0 = zeros(12,24,12);
mat1 = ones(12,24,12);
mat2 = 2*ones(12,24,12);
save data.mat mat0 mat1 mat2 -v7.3

In python you read them like this:

import numpy as np
import h5py
f = h5py.File('/home/innereye/data.mat','r')
mat1 = f.get('mat1')
mat1 = np.array(mat1)

you have a lot of material on Stackoverflow about reading mat files with python, for example, here and here .