1 #include "perf_precomp.hpp" 2 3 using namespace std; 4 using namespace cv; 5 using namespace perf; 6 using std::tr1::make_tuple; 7 using std::tr1::get; 8 9 enum { TYPE_5_8 =FastFeatureDetector::TYPE_5_8, TYPE_7_12 = FastFeatureDetector::TYPE_7_12, TYPE_9_16 = FastFeatureDetector::TYPE_9_16 }; 10 CV_ENUM(FastType, TYPE_5_8, TYPE_7_12, TYPE_9_16) 11 12 typedef std::tr1::tuple<string, FastType> File_Type_t; 13 typedef perf::TestBaseWithParam<File_Type_t> fast; 14 15 #define FAST_IMAGES \ 16 "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\ 17 "stitching/a3.png" 18 19 PERF_TEST_P(fast, detect, testing::Combine( 20 testing::Values(FAST_IMAGES), 21 FastType::all() 22 )) 23 { 24 string filename = getDataPath(get<0>(GetParam())); 25 int type = get<1>(GetParam()); 26 Mat frame = imread(filename, IMREAD_GRAYSCALE); 27 28 if (frame.empty()) 29 FAIL() << "Unable to load source image " << filename; 30 31 declare.in(frame); 32 33 Ptr<FeatureDetector> fd = FastFeatureDetector::create(20, true, type); 34 ASSERT_FALSE( fd.empty() ); 35 vector<KeyPoint> points; 36 37 TEST_CYCLE() fd->detect(frame, points); 38 39 SANITY_CHECK_KEYPOINTS(points); 40 } 41
