sustaining_gazes/matlab_runners/Demos/gaze_extraction_demo_vid.m
2016-04-28 15:40:36 -04:00

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Matlab

exe = '"../../x64/Release/FeatureExtraction.exe"';
output = './output_features_vid/';
if(~exist(output, 'file'))
mkdir(output)
end
in_files = dir('../../videos/2015-10-15-15-14.avi');
% some parameters
verbose = true;
command = exe;
command = cat(2, command, ' -verbose -no2Dfp -no3Dfp -noMparams -noPose -noAUs ');
% 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);
% where to output tracking results
outputFile_gaze = [output name '_gaze.txt'];
if(~exist([output name], 'file'))
mkdir([output name]);
end
command = cat(2, command, ['-fx 700 -fy 700 -f "' inputFile '" -of "' outputFile_gaze '"']);
end
dos(command);
%% Demonstrating reading the output files
filename = [output name];
% Read gaze (x,y,z) for one eye and (x,y,z) for another
gaze = dlmread([filename, '_gaze.txt'], ',', 1, 0);
% This indicates which frames were succesfully tracked
valid_frames = gaze(:,4);
% only picking left, right and up down views for visualisation
gaze = gaze(:,[5,6,7,8,9,10]);
gaze = (gaze(:,[1,2,3]) + gaze(:,[4,5,6]))/2;
gaze(:,1) = smooth(gaze(:,1));
gaze(:,2) = smooth(gaze(:,2));
gaze(:,3) = smooth(gaze(:,3));
plot(gaze(:,1), 'DisplayName', 'Left - right');
hold on;
plot(gaze(:,2), 'DisplayName', 'Up - down');
xlabel('Frame') % x-axis label
ylabel('Gaze vector size') % y-axis label
legend('show');
hold off;