opencv/modules/objdetect/perf/perf_cascadeclassifier.cpp

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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
typedef std::tr1::tuple<const char*, int> ImageName_MinSize_t;
typedef perf::TestBaseWithParam<ImageName_MinSize_t> ImageName_MinSize;
PERF_TEST_P( ImageName_MinSize, CascadeClassifierLBPFrontalFace, testing::Values( ImageName_MinSize_t("cv/shared/lena.jpg", 10) ) )
{
const char* filename = std::tr1::get<0>(GetParam());
int min_size = std::tr1::get<1>(GetParam());
Size minSize(min_size, min_size);
CascadeClassifier cc(getDataPath("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml"));
Mat img=imread(getDataPath(filename));
vector<Rect> res;
declare.in(img).time(10000);
TEST_CYCLE(100)
{
res.clear();
cc.detectMultiScale(img, res, 1.1, 3, 0, minSize);
}
}