sample_script_one.m

Standard model object recognition matlab code

% sample_script_one
%
% This is an example of how to run the model on one image.  This is
% rather slow (and not efficient when just running one image),
% because we need to create the default filter for a given image
% size.  However, you may save the filter, so that you can use with
% other images with the same size.
%
% See other sample files for the case when there are multiple images.

% Suppose this is your stimulus.
stim    = rand(128,128); 

load ./Images/r_i001.mat;
stim    = r;

% Define intermediate, learned features.
global learn_file;
learn_file{3} = './Data/f_S2b_natural_img';
learn_file{5} = './Data/f_S2_natural_img';
learn_file{7} = './Data/f_S3_natural_img';
learn_file{9} = './Data/f_VTU_natural_img';

% level: define which layers to compute.
level = [1 1 1 1 1 1 1 1];
stim_size = size(stim);
[f,s,o] = init_filt_oper(level);

% Now run the model on stimulus.
disp(['Running on the model on one image.']);
tic;
r = main_model(stim,f,s,o);
elap_time = toc;
disp(['It took ' num2str(elap_time/60) ' mins.']);