32 lines
1.1 KiB
Matlab
32 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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model = 'model/main_clnf_general.txt'; % Trained on in the wild and multi-pie data (a CLNF model)
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% Uncomment the below models if you want to try them
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%model = 'model/main_clnf_wild.txt'; % Trained on in-the-wild data only
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%model = 'model/main_clm_general.txt'; % Trained on in the wild and multi-pie data (less accurate SVR/CLM model)
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%model = 'model/main_clm_wild.txt'; % Trained on in-the-wild
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% Load images (-fdir), output images and all the features (-out_dir), use a
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% user specified model (-mloc), and visualize everything (-verbose)
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command = sprintf('%s -fdir "%s" -out_dir "%s" -verbose -mloc "%s" ', executable, in_dir, out_dir, 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 -multi_view 1');
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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 |