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#include "perf_precomp.hpp"
#include <opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<std::string, int> ImageName_MinSize_t;
typedef perf::TestBaseWithParam<ImageName_MinSize_t> ImageName_MinSize;
PERF_TEST_P(ImageName_MinSize, CascadeClassifierLBPFrontalFace,
testing::Combine(testing::Values( std::string("cv/shared/lena.png"),
std::string("cv/shared/1_itseez-0000289.png"),
std::string("cv/shared/1_itseez-0000492.png"),
std::string("cv/shared/1_itseez-0000573.png")),
testing::Values(24, 30, 40, 50, 60, 70, 80, 90)
)
)
{
const string filename = get<0>(GetParam());
int min_size = get<1>(GetParam());
Size minSize(min_size, min_size);
CascadeClassifier cc(getDataPath("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml"));
if (cc.empty())
FAIL() << "Can't load cascade file";
Mat img = imread(getDataPath(filename), 0);
if (img.empty())
FAIL() << "Can't load source image";
vector<Rect> faces;
equalizeHist(img, img);
declare.in(img);
while(next())
{
faces.clear();
startTimer();
cc.detectMultiScale(img, faces, 1.1, 3, 0, minSize);
stopTimer();
}
std::sort(faces.begin(), faces.end(), comparators::RectLess());
SANITY_CHECK(faces, 3.001 * faces.size());
}
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