wordpress新站都该设置些什么,工业设计师,做网站给客户聊天记录,红帽linux安装wordpress由于matlab在列化a(:)以及reshape(a)等操作中是列优先的#xff0c;所以要重构出新的高维度矩阵#xff0c;通常要把reshape和permute结合起来使用。 先到 http://caffe.berkeleyvision.org/ 下载 训练好的model bvlc_reference_caffenet.caffemodel;
更多caffe使用也请参看…由于matlab在列化a(:)以及reshape(a)等操作中是列优先的所以要重构出新的高维度矩阵通常要把reshape和permute结合起来使用。 先到 http://caffe.berkeleyvision.org/ 下载 训练好的model bvlc_reference_caffenet.caffemodel;
更多caffe使用也请参看上面的网址。 1 clear2 close all3 4 5 addpath ./matlab6 7 model ./models/bvlc_reference_caffenet/deploy.prototxt;8 weights ./models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel;9
10
11 net caffe.Net(model, weights, test); % create net and load weights
12
13 %% obtain params in diff layers and show
14 pdata net.params(conv1,1).get_data();
15
16 vis_square(pdata,2,0.5);
17
18
19 net.blobs(data).reshape([227 227 3 1]);
20 net.reshape();
21
22 %% prepare the image
23 im_data caffe.io.load_image(./examples/images/cat.jpg);
24 mean load(./matlab/caffe/imagenet/ilsvrc_2012_mean.mat);
25
26 %% subtract mean_data (already in W x H x C, BGR)
27 mean_data mean.mean_data;
28 im_data im_data - mean_data;
29
30 width 227; height 227;
31 im_data imresize(im_data, [width, height]); % resize using Matlabs imresize
32 res net.forward({im_data});
33
34 prob res{1};
35
36 %% obtain features and show
37 ddata net.blobs(conv2).get_data();
38 vis_square(ddata,2,0);MPCA可用于高维数据进行降维可与LDA结合 1 function vis_square(data,padsize,padval)2 3 datanet_data_normalize(data);4 5 if ~ exist(padsize, var) 6 padsize1;7 end8 if ~ exist(padval, var) 9 padval0;
10 end
11 ndimndims(data);
12 % w*num*h*chanel
13 if ndim4
14 fprintf(visualize params\n);
15 datapermute(data,[1,4,2,3]);
16 else ndim3
17 fprintf(visualize maps\n);
18 datapermute(data,[1,3,2]);
19 end
20
21 n (ceil(sqrt(size(data,2))));
22 datapadarray(data,[padsize n^2-size(data,2) padsize 0],post);
23 datareshape(data,size(data,1),n,n,size(data,3),size(data,4));
24 datapermute(data,[1,3,4,2,5]);
25 datareshape(data,[size(data,1)*n,size(data,3)*n,size(data,5)]);
26
27 figure
28 if ndim4
29 ;
30 else ndim3
31 dataimrotate(data,-90);
32 end
33
34 imshow(imresize(data,[500,500],nearest))
35
36 end
