sample_script_run.m

Standard model object recognition matlab code

% sample_script_run
%
% It is an example of how to run the model on multiple images (of
% the same size).

% Define file names for 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_S4_natural_img';

stim_dir = './Images/';
save_dir = './Model_Resp/';
level = [1 1 1 1]; % Upto C2b, bypass route only, and save C2b
s_lvl = [0 0 0 1];
r_out = main_model_load_save(stim_dir,level,s_lvl,save_dir);

% Note that if you want to reuse a filter file, define for example.
% filt_file = 'Filt_256x256.mat'; in init_filt_oper.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Other examples

% Example 1
stim_dir = './Model_Resp/Layer2/';
save_dir = './Model_Resp/';
level = [0 0 0 0 1 1 1 1]; % Upto C3, main route only, and save C2, C3
s_lvl = [0 0 0 0 0 1 0 1];
r_out = main_model_load_save(stim_dir,level,s_lvl,save_dir);

% Example 2
stim_dir = './Model_Resp/Layer2/';
save_dir = './Model_Resp/';
level = [0 0 1 1 1 1 1 1]; % Compute full model.
s_lvl = [0 1 0 1 0 1 0 1];
r_out = main_model_load_save(stim_dir,level,s_lvl,save_dir);

% Example 3
stim_dir = './Images/'; 
save_dir = './Model_Resp/';
level = [1 1 1 1 1 1 1 1]; % Compute full model.
s_lvl = [0 1 0 1 0 1 0 1];
r_out = main_model_load_save(stim_dir,level,s_lvl,save_dir);

% Example 4
stim_dir = './Model_Resp/Layer2/';
save_dir = './Model_Resp/';
level = [1 1 1 1 1 1 1 1]; % Compute full model.
r_out = main_model_load_save(stim_dir,level);