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