sustaining_gazes/matlab_runners/Demos/run_demo_videos.m

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clear
if(isunix)
executable = '"../../build/bin/FaceLandmarkVid"';
else
executable = '"../../x64/Release/FaceLandmarkVid.exe"';
end
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output = './demo_vid/';
if(~exist(output, 'file'))
mkdir(output)
end
in_files = dir('../../videos/*.wmv');
in_files = cat(1, in_files, dir('../../videos/*.avi'));
% some parameters
verbose = true;
% Trained on in the wild and multi-pie data (less accurate SVR/CLM model)
%model = 'model/main_clm_general.txt';
% Trained on in-the-wild
%model = 'model/main_clm_wild.txt';
% Trained on in the wild and multi-pie data (more accurate CLNF model)
model = 'model/main_clnf_general.txt';
% Trained on in-the-wild
%model = 'model/main_clnf_wild.txt';
command = executable;
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command = cat(2, command, [' -mloc "', model, '"']);
% add all videos to single argument list (so as not to load the model anew
% for every video)
for i=1:numel(in_files)
inputFile = ['../../videos/', in_files(i).name];
[~, name, ~] = fileparts(inputFile);
command = cat(2, command, [' -f "' inputFile '" ']);
if(verbose)
outputVideo = ['"' output name '.avi' '"'];
command = cat(2, command, [' -ov ' outputVideo]);
end
end
if(isunix)
unix(command);
else
dos(command);
end