classdef io
  % a class for input and output functions
  
  methods (Static)
    function im_data = load_image(im_file)
      % im_data = load_image(im_file)
      %   load an image from disk into Caffe-supported data format
      %   switch channels from RGB to BGR, make width the fastest dimension
      %   and convert to single
      %   returns im_data in W x H x C. For colored images, C = 3 in BGR
      %   channels, and for grayscale images, C = 1
      CHECK(ischar(im_file), 'im_file must be a string');
CHECK_FILE_EXIST(im_file);
im_data = imread(im_file);
      % permute channels from RGB to BGR for colored images
      if size(im_data, 3) == 3
        im_data = im_data(:, :, [3, 2, 1]);
      end % flip width and height to make width the fastest dimension im_data =
          permute(im_data, [ 2, 1, 3 ]);
      % convert from uint8 to single im_data = single(im_data);
      end function mean_data = read_mean(mean_proto_file) % mean_data =
                                   read_mean(mean_proto_file) %
          read image mean data from binaryproto file %
          returns mean_data in W x H x C with BGR channels
              CHECK(ischar(mean_proto_file),
                    'mean_proto_file must be a string');
      CHECK_FILE_EXIST(mean_proto_file);
      mean_data = caffe_('read_mean', mean_proto_file);
      end function write_mean(mean_data, mean_proto_file) %
          write_mean(mean_data, mean_proto_file) %
          write image mean data to binaryproto file
          % mean_data should be W x H x C with BGR channels
          CHECK(ischar(mean_proto_file), 'mean_proto_file must be a string');
      CHECK(isa(mean_data, 'single'), 'mean_data must be a SINGLE matrix');
      caffe_('write_mean', mean_data, mean_proto_file);
      end end end
