1 #include "../perf_precomp.hpp" 2 #include <opencv2/imgproc.hpp> 3 4 #include "opencv2/ts/ocl_perf.hpp" 5 6 using namespace std; 7 using namespace cv; 8 using namespace perf; 9 using std::tr1::make_tuple; 10 using std::tr1::get; 11 12 typedef std::tr1::tuple<std::string, std::string, int> Cascade_Image_MinSize_t; 13 typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize; 14 15 #ifdef HAVE_OPENCL 16 17 OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier, 18 testing::Combine( 19 testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"), 20 string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt2.xml"), 21 string("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml") ), 22 testing::Values( string("cv/shared/lena.png"), 23 string("cv/cascadeandhog/images/bttf301.png"), 24 string("cv/cascadeandhog/images/class57.png") ), 25 testing::Values(30, 64, 90) ) ) 26 { 27 const string cascadePath = get<0>(GetParam()); 28 const string imagePath = get<1>(GetParam()); 29 int min_size = get<2>(GetParam()); 30 Size minSize(min_size, min_size); 31 32 CascadeClassifier cc( getDataPath(cascadePath) ); 33 if (cc.empty()) 34 FAIL() << "Can't load cascade file: " << getDataPath(cascadePath); 35 36 Mat img = imread(getDataPath(imagePath), IMREAD_GRAYSCALE); 37 if (img.empty()) 38 FAIL() << "Can't load source image: " << getDataPath(imagePath); 39 40 vector<Rect> faces; 41 42 equalizeHist(img, img); 43 declare.in(img).time(60); 44 45 UMat uimg = img.getUMat(ACCESS_READ); 46 47 while(next()) 48 { 49 faces.clear(); 50 cvtest::ocl::perf::safeFinish(); 51 52 startTimer(); 53 cc.detectMultiScale(uimg, faces, 1.1, 3, 0, minSize); 54 stopTimer(); 55 } 56 57 sort(faces.begin(), faces.end(), comparators::RectLess()); 58 SANITY_CHECK(faces, min_size/5); 59 } 60 61 #endif //HAVE_OPENCL 62
