37 lines
1.2 KiB
Matlab
37 lines
1.2 KiB
Matlab
% A demo how to run a single-face face tracker
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clear
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if(isunix)
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executable = '"../../build/bin/FaceLandmarkVid"';
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else
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executable = '"../../x64/Release/FaceLandmarkVid.exe"';
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end
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in_files = dir('../../samples/*.wmv');
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in_files = cat(1, in_files, dir('../../samples/*.avi'));
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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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% Create a command that will run the tracker on set of videos and display the output
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command = sprintf('%s -mloc "%s" ', executable, model);
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% add all videos to single argument list by appending -f comments
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% so as not to load the model anew for every video)
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for i=1:numel(in_files)
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inputFile = ['../../samples/', in_files(i).name];
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command = cat(2, command, [' -f "' inputFile '" ']);
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end
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% Call the executable
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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 |