Caffe Matlab

Apr 18, 2016 If you have Caffe compiled for Matlab (which you can do using make matcaffe ) then you can start following this simple tutorial. First you have to make. Sonic Youth Thousand Leaves Rar Download there.

Harbor Breeze Lgf Manual there. I successfully trained my Caffe net on the mnist database following Now I want to test the network with my own images using the Matlab wrapper. Download Software Kamus Bahasa Korea Indonesia Untuk Pc. Therefore in 'matcaffe.m' im loading the file 'lenet.prototxt' which is not used for training but which seems to be suited for testing. It is referencing a input size of 28 x 28 pixels: name: 'LeNet' input: 'data' input_dim: 64 input_dim: 1 input_dim: 28 input_dim: 28 layer { name: 'conv1' type: 'Convolution' bottom: 'data' top: 'conv1' Therefore I adapted the 'prepare_image' function in 'matcaffe.m' accordingly. It now looks like this:% ------------------------------------------------------------------------ function images = prepare_image(im) IMAGE_DIM = 28;% resize to fixed input size im = rgb2gray(im); im = imresize(im, [IMAGE_DIM IMAGE_DIM], 'bilinear'); im = single(im); images = zeros(1,1,IMAGE_DIM,IMAGE_DIM); images(1,1,:,:) = im; images = single(images);%------------------------------------------------------------- This converts the input image to a [1 x 1 x 28 x 28], 4dim, grayscale image. But still Matlab is complaining: Error using caffe MatCaffe input size does not match the input size of the network Error in matcaffe_myModel_mnist (line 76) scores = caffe('forward', input_data); Does somebody have experience with testing the trained mnist net on his own data?