open source pkg v1

pkg/OpenFace/matlab_runners/Demos/run_demo_videos.m

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+% A demo how to run a single-face face tracker
+
+clear
+
+if(isunix)
+    executable = '"../../build/bin/FaceLandmarkVid"';
+else
+    executable = '"../../x64/Release/FaceLandmarkVid.exe"';
+end
+    
+in_files = dir('../../samples/*.wmv');
+in_files = cat(1, in_files, dir('../../samples/*.avi'));
+
+model = 'model/main_ceclm_general.txt'; % Trained on in the wild, menpo and multi-pie data (a CE-CLM model)
+
+% Uncomment the below models if you want to try them
+%model = 'model/main_clnf_general.txt'; % Trained on in the wild and multi-pie data (a CLNF model)
+
+% Uncomment the below models if you want to try them
+%model = 'model/main_clnf_wild.txt'; % Trained on in-the-wild data only
+
+%model = 'model/main_clm_general.txt'; % Trained on in the wild and multi-pie data (less accurate SVR/CLM model)
+%model = 'model/main_clm_wild.txt'; % Trained on in-the-wild
+
+% Create a command that will run the tracker on set of videos and display the output 
+command = sprintf('%s -mloc "%s" ', executable, model);
+
+% add all videos to single argument list by appending -f comments
+% so as not to load the model anew for every video)
+for i=1:numel(in_files)
+    inputFile = ['../../samples/', in_files(i).name];        
+    command = cat(2, command, [' -f "' inputFile '" ']);
+end
+
+% Call the executable
+if(isunix)
+    unix(command);
+else
+    dos(command);
+end