您好我想使用并行化我的MATLAB代码来运行高计算服务器。它是为深度学习制作图像数据库的代码。为了并行化代码我找到了我必须用于parfor循环。但我使用第一个循环或第二个循环,它显示我错误parfor由于变量imdb和image_counter无法运行。任何人都可以帮我改变代码以使用parfor
for i = 1:length(cur_images)
X = sprintf('image Numb: %d ',i);
disp(X)
cur_image = load(cur_images{i,:});
cur_image=(cur_image.Image.crop);
%----------------------------------------------
cur_image = imresize(cur_image, image_size);
if(rgb < 1)
imdb.images.data(:,:,1,image_counter) = cur_image;
else
imdb.images.data(:,:,1,image_counter) = cur_image(:,:,1);
imdb.images.data(:,:,2,image_counter) = cur_image(:,:,2);
imdb.images.data(:,:,3,image_counter) = cur_image(:,:,3);
imdb.images.data(:,:,4,image_counter) = cur_image(:,:,4);
imdb.images.data(:,:,5,image_counter) = cur_image(:,:,5);
imdb.images.data(:,:,6,image_counter) = cur_image(:,:,6);
imdb.images.data(:,:,7,image_counter) = cur_image(:,:,7);
imdb.images.data(:,:,8,image_counter) = cur_image(:,:,8);
imdb.images.data(:,:,9,image_counter) = cur_image(:,:,9);
imdb.images.data(:,:,10,image_counter) = cur_image(:,:,10);
end
imdb.images.set( 1,image_counter) = set;
image_counter = image_counter + 1;
end
答案 0 :(得分:2)
这里的主要问题是您无法按照您尝试的方式分配parfor
内的结构字段。此外,您的输出需要由循环变量索引以符合"sliced" - 即不使用image_counter
。把它放在一起,你需要更像:
% Make a numeric array to store the output.
data_out = zeros([image_size, 10, length(cur_images)]);
parfor i = 1:length(cur_images)
cur_image = load(cur_images{i, :});
cur_image=(cur_image.Image.crop);
cur_image = imresize(cur_image, image_size);
% Now, assign into 'data_out'. A little care needed
% here.
if rgb < 1
data_tmp = zeros([image_size, 10]);
data_tmp(:, :, 1) = cur_image;
else
data_tmp = cur_image;
end
data_out(:, :, :, i) = data_tmp;
end
imdb.images.data = data_out;