caffe

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