sustaining_gazes/matlab_runners/Demos/run_demo_images.m

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clear
if(isunix)
executable = '"../../build/bin/FaceLandmarkImg"';
else
executable = '"../../x64/Release/FaceLandmarkImg.exe"';
end
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in_dir = '../../samples/';
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out_dir = './demo_img/';
if(~exist(out_dir, 'file'))
mkdir(out_dir);
end
% some parameters
verbose = true;
% Trained on in the wild and multi-pie data (less accurate 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, [' -fdir "' in_dir '"']);
if(verbose)
command = cat(2, command, [' -ofdir "' out_dir '"']);
command = cat(2, command, [' -oidir "' out_dir '"']);
end
command = cat(2, command, [' -mloc "', model, '"']);
% Demonstrates the multi-hypothesis slow landmark detection (more accurate
% when dealing with non-frontal faces and less accurate face detections)
% Comment to skip this functionality
command = cat(2, command, ' -wild ');
if(isunix)
unix(command);
else
dos(command);
end