I have a dataset comprising a cube of images, with dimension 256x320x151. I need tu cut it down to a dataset with dimension 256x320x10, while keeping all the other attributes invariate, as they have useful information on the data acquisition parameters.
I have tried the code:
h5disp(‘PCA_cube – Copia.h5’)
fileattrib(‘PCA_cube – Copia.h5′,’+w’);
fid = H5F.open(‘PCA_cube – Copia.h5′,’H5F_ACC_RDWR’,’H5P_DEFAULT’);
dset_id = H5D.open(fid,’/Cube/Images’);
H5D.set_extent(dset_id,[320,256,10]); % C-style indexing
H5D.close(dset_id);
H5F.close(fid);
h5read(PCA_cube – Copia.h5′, ‘/Cube/Images’)
However I get the error message: "Error using hdf5lib2 : The HDF5 library encountered an error and produced the following stack trace information:H5D__set_extent dataset has contiguous storage"
I’m adding also some information on the file structure:

Any help or suggestion is much welcome!I have a dataset comprising a cube of images, with dimension 256x320x151. I need tu cut it down to a dataset with dimension 256x320x10, while keeping all the other attributes invariate, as they have useful information on the data acquisition parameters.
I have tried the code:
h5disp(‘PCA_cube – Copia.h5’)
fileattrib(‘PCA_cube – Copia.h5′,’+w’);
fid = H5F.open(‘PCA_cube – Copia.h5′,’H5F_ACC_RDWR’,’H5P_DEFAULT’);
dset_id = H5D.open(fid,’/Cube/Images’);
H5D.set_extent(dset_id,[320,256,10]); % C-style indexing
H5D.close(dset_id);
H5F.close(fid);
h5read(PCA_cube – Copia.h5′, ‘/Cube/Images’)
However I get the error message: "Error using hdf5lib2 : The HDF5 library encountered an error and produced the following stack trace information:H5D__set_extent dataset has contiguous storage"
I’m adding also some information on the file structure:

Any help or suggestion is much welcome! I have a dataset comprising a cube of images, with dimension 256x320x151. I need tu cut it down to a dataset with dimension 256x320x10, while keeping all the other attributes invariate, as they have useful information on the data acquisition parameters.
I have tried the code:
h5disp(‘PCA_cube – Copia.h5’)
fileattrib(‘PCA_cube – Copia.h5′,’+w’);
fid = H5F.open(‘PCA_cube – Copia.h5′,’H5F_ACC_RDWR’,’H5P_DEFAULT’);
dset_id = H5D.open(fid,’/Cube/Images’);
H5D.set_extent(dset_id,[320,256,10]); % C-style indexing
H5D.close(dset_id);
H5F.close(fid);
h5read(PCA_cube – Copia.h5′, ‘/Cube/Images’)
However I get the error message: "Error using hdf5lib2 : The HDF5 library encountered an error and produced the following stack trace information:H5D__set_extent dataset has contiguous storage"
I’m adding also some information on the file structure:

Any help or suggestion is much welcome! h5, hdf5lib2, dataset, hdf5 MATLAB Answers — New Questions

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