Made perf test for CascadeClassifier (LBP frontal face cascade).

modules/objdetect/perf/perf_cascadeclassifier.cpp

@@ -0,0 +1,27 @@
+#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);
+    }
+}