37 lines
No EOL
1.2 KiB
Matlab
37 lines
No EOL
1.2 KiB
Matlab
% 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_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 |