The H5P.set_chunk is used to specify the chunk dimensions of a dataset i.e. what should the size of each chunk when it is is stored in the file. The H5S.select_hyperslab is used to specify the portion of the dataset that you want to read. If you are reading data a portion of the data from a dataset, this is probably what you need to do.
When you say that you want to store each chunk with an ID into an array, do you mean you want to read it into MATLAB or do you want to store it again into another HDF5 file?
For starters, you can use the high-level h5read function to read a portion of the dataset. I am not sure how you want to divide the data into 4 chunks but I am going to assume that each chunk is 1800x900. This does not impact the code.
The code below provides an idea on how you can do this.
fileNames = dir('*.h5');
fileNames = {fileNames.name}'
numChunks = 4;
chunkSize = [1800 900];
for cnt = 1:numel(fileNames)
fileToRead = fileNames{cnt};
s = struct();
for cnt = 1:numChunks
ID = sprintf('%s_Chunk_%02d', matlab.land.makeValidname(fileToRead), cnt);
startLoc = [1 chunkSize(2)*(cnt-1)+1];
s.(ID) = h5read(fileToRead, '/mydataset', startLoc, chunkSize);
end
end
I have not run the above code and so apologies for any errors but it does give an idea of how you can do this.
If you want to use the low-level functions such as H5D.read, you have to loop and update the h5_start input argument to point to the location of the dataset that you want to read.
