sustaining_gazes/matlab_runners/Head Pose Experiments/run_ict_experiment.m
2016-04-28 15:40:36 -04:00

69 lines
1.8 KiB
Matlab

function [fps, resDir] = run_ict_experiment(rootDir, ictDir, outputRoot, verbose, depth, version, varargin)
%EVALUATEICTDATABASE Summary of this function goes here
% Detailed explanation goes here
executable = '"../../x64/Release/FeatureExtraction.exe"';
output = 'Tracker_';
dbSeqDir = dir([rootDir ictDir]);
% listing the output based on the current revision
output = [output 'r' num2str(version)];
if(depth)
output = cat(2, output, '_depth');
end
outputDir = cat(2, outputRoot, ['/' output '/']);
if(~exist([rootDir outputDir], 'dir'))
mkdir([rootDir outputDir]);
end
tic;
numTogether = 10;
for i=3:numTogether:numel(dbSeqDir)
command = [executable ' -fx 535 -fy 536 -cx 327 -cy 241 -no2Dfp -no3Dfp -noMparams -noAUs -noGaze '];
command = cat(2, command, [' -root ' '"' rootDir '/"']);
% deal with edge cases
if(numTogether + i > numel(dbSeqDir))
numTogether = numel(dbSeqDir) - i + 1;
end
for n=0:numTogether-1
inputFile = [ictDir dbSeqDir(i+n).name '/colour undist.avi'];
outputFile = [outputDir dbSeqDir(i+n).name '.txt'];
command = cat(2, command, [' -f "' inputFile '" -op "' outputFile '" ']);
if(depth)
dDir = [ictDir dbSeqDir(i+n).name '/depthAligned/'];
command = cat(2, command, [' -fd "' dDir '"']);
end
if(verbose)
outputVideo = [outputDir dbSeqDir(i+n).name '.avi'];
command = cat(2, command, [' -ov "' outputVideo '"']);
end
end
if(any(strcmp('model', varargin)))
command = cat(2, command, [' -mloc "', varargin{find(strcmp('model', varargin))+1}, '"']);
end
dos(command);
end
timeTaken = toc;
fps = 10661 / timeTaken;
resDir = outputDir;
end