function X = processImagesMNIST_MB(filename)
% The MNIST processing functions extract the data from the downloaded IDX
% files into MATLAB arrays. The processImagesMNIST function performs these
% operations: Check if the file can be opened correctly. Obtain the magic
% number by reading the first four bytes. The magic number is 2051 for
% image data, and 2049 for label data. Read the next 3 sets of 4 bytes,
% which return the number of images, the number of rows, and the number of
% columns. Read the image data. Reshape the array and swaps the first two
% dimensions due to the fact that the data was being read in column major
% format. Ensure the pixel values are in the range  [0,1] by dividing them
% all by 255, and converts the 3-D array to a 4-D dlarray object. Close the
% file.

dataFolder = fullfile(tempdir,'mnist');
gunzip(filename,dataFolder)

[~,name,~] = fileparts(filename);

[fileID,errmsg] = fopen(fullfile(dataFolder,name),'r','b');
if fileID < 0
    error(errmsg);
end

magicNum = fread(fileID,1,'int32',0,'b');
if magicNum == 2051
    fprintf('\nRead MNIST image data...\n')
end

numImages = fread(fileID,1,'int32',0,'b');
fprintf('Number of images in the dataset: %6d ...\n',numImages);
numRows = fread(fileID,1,'int32',0,'b');
numCols = fread(fileID,1,'int32',0,'b');

X = fread(fileID,inf,'unsigned char');

X = reshape(X,numCols,numRows,numImages);
X = permute(X,[2 1 3]);
X = X./255;
X = reshape(X, [28,28,1,size(X,3)]);
%X = dlarray(X, 'SSCB');

fclose(fileID);
end