caffe 均值文件binaryproto 轉mat

需要使用caffe 的matlab 接口測試分類,所以需要將之前的均值文件轉換成.mat

caffe 根目錄下,matlab/+caffe 目錄下有io.m, 裏面寫好了一個fuction read_mean() .如下所示。

調用方法, 直接在caffe 的根目錄下, 進入matlab,命令行,

>>addpath('./matlab')

>>mean_file = 'path/to/*.binaryproto'

>>image_mean = caffe.io.read_mean(mean_file);

>>save 'path/to/save/*.mat'  image_mean

之後,在你保存的地方就可以看到生成的mat 均值文件

     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


發表評論
所有評論
還沒有人評論,想成為第一個評論的人麼? 請在上方評論欄輸入並且點擊發布.
相關文章