
代码如下:
% urlwrite(... % 'http://www.vlfeat.org/matconvnet/models/imagenet−vgg−f.mat', ... % 'imagenet−vgg−f.mat'); run vl_setupnn %载入模型 net = load('imagenet-vgg-f.mat') ; net = vl_simplenn_tidy(net); %读取图像并预处理 im = imread('peppers.png') ; im_ = single(im) ; % note: 255 range im_ = imresize(im_, net.meta.normalization.imageSize(1:2)) ; im_ = im_ - net.meta.normalization.averageImage ; %得到结果 res = vl_simplenn(net, im_) ; result.scores = squeeze(gather(res(end).x)) ; [bestScore, best] = max(result.scores) ; figure(1) ; clf ; imagesc(im) ; title(sprintf('%s (%d), score %.3f',... net.meta.classes.description{best}, best, bestScore)) ;
结果显示:

完整源码: