怎么用自己的图片制作Matlab版本的cifar10格式的数据集？

% Load images
img_folder = 'path/to/folder/containing/images';
img_files = dir(fullfile(img_folder, '*.jpg'));
num_images = length(img_files);
data = zeros(32,32,3,num_images); % pre-allocate memory for speed
for i = 1:num_images
  filename = fullfile(img_folder, img_files(i).name);
  img = imread(filename);
  img_resized = imresize(img,[32 32]); % resize image to 32x32
  data(:,:,:,i) = img_resized; % add the image to the data array
  labels{i} = 'label'; % replace 'label' with the label for this image
end
% Split into training and testing sets (50/50 split)
idx = randperm(num_images);
num_train = floor(num_images / 2);
train_data = data(:,:,:,idx(1:num_train));
train_labels = labels(idx(1:num_train));
test_data = data(:,:,:,idx(num_train+1:end));
test_labels = labels(idx(num_train+1:end));
% Convert labels to categorical format
train_labels_categorical = categorical(train_labels, 1:num_classes, 1:num_classes_str);
test_labels_categorical = categorical(test_labels, 1:num_classes, 1:num_classes_str);
% Save data to .mat file
save('my_data.mat', 'train_data', 'train_labels_categorical', 'test_data', 'test_labels_categorical', '-v7.3');