51 lines
1.3 KiB
Matlab
51 lines
1.3 KiB
Matlab
clear
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addpath('../data extraction/');
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find_BP4D;
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bp4d_loc = [BP4D_dir '../BP4D/BP4D-training/'];
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out_loc = './out_bp4d_static_intensity/';
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if(~exist(out_loc, 'dir'))
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mkdir(out_loc);
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end
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features_exe = '"../C++ models/Release/AUPrediction.exe"';
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% Go two levels deep
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bp4d_dirs = devel_recs;
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in_txt = './txt_files/';
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parfor f1=1:numel(bp4d_dirs)
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if(isdir([bp4d_loc, bp4d_dirs{f1}]))
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bp4d_2_dirs = dir([bp4d_loc, bp4d_dirs{f1}]);
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bp4d_2_dirs = bp4d_2_dirs(3:end);
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f1_dir = bp4d_dirs{f1};
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for f2=1:numel(bp4d_2_dirs)
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command = [features_exe, ' -scaling 0.4 -auloc "./AU_predictors/AU_SVR_BP4D_static.txt" -fx 2000 -fy 2000 -rigid -asvid -simscale 0.7 -simsize 112 '];
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f2_dir = bp4d_2_dirs(f2).name;
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if(isdir([bp4d_loc, bp4d_dirs{f1}]))
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curr_txt_file = [in_txt, f1_dir, '_', f2_dir, '.txt'];
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name = [f1_dir '_' f2_dir];
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output_file = [out_loc name '/'];
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output_aus = [out_loc name '.au.txt'];
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command = cat(2, command, [' -ftxt "' curr_txt_file '" -oausreg "' output_aus '"']);
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end
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dos(command);
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end
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end
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end |