sustaining_gazes/matlab_runners/Demos/run_demo_videos.m

% A demo how to run a single-face face tracker

clear

if(isunix)
    executable = '"../../build/bin/FaceLandmarkVid"';
else
    executable = '"../../x64/Release/FaceLandmarkVid.exe"';
end
    
in_files = dir('../../samples/*.wmv');
in_files = cat(1, in_files, dir('../../samples/*.avi'));

model = 'model/main_clnf_general.txt'; % Trained on in the wild and multi-pie data (a CLNF model)

% Uncomment the below models if you want to try them
%model = 'model/main_clnf_wild.txt'; % Trained on in-the-wild data only

%model = 'model/main_clm_general.txt'; % Trained on in the wild and multi-pie data (less accurate SVR/CLM model)
%model = 'model/main_clm_wild.txt'; % Trained on in-the-wild

% Create a command that will run the tracker on set of videos and display the output 
command = sprintf('%s -mloc "%s" ', executable, model);

% add all videos to single argument list by appending -f comments
% so as not to load the model anew for every video)
for i=1:numel(in_files)
    inputFile = ['../../samples/', in_files(i).name];        
    command = cat(2, command, [' -f "' inputFile '" ']);
end

% Call the executable
if(isunix)
    unix(command);
else
    dos(command);
end