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 { AGAST_5_8 = AgastFeatureDetector::AGAST_5_8, AGAST_7_12d = AgastFeatureDetector::AGAST_7_12d,
10 AGAST_7_12s = AgastFeatureDetector::AGAST_7_12s, OAST_9_16 = AgastFeatureDetector::OAST_9_16 };
11 CV_ENUM(AgastType, AGAST_5_8, AGAST_7_12d,
12 AGAST_7_12s, OAST_9_16)
13
14 typedef std::tr1::tuple<string, AgastType> File_Type_t;
15 typedef perf::TestBaseWithParam<File_Type_t> agast;
16
17 #define AGAST_IMAGES \
18 "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
19 "stitching/a3.png"
20
PERF_TEST_P(agast,detect,testing::Combine (testing::Values (AGAST_IMAGES),AgastType::all ()))21 PERF_TEST_P(agast, detect, testing::Combine(
22 testing::Values(AGAST_IMAGES),
23 AgastType::all()
24 ))
25 {
26 string filename = getDataPath(get<0>(GetParam()));
27 int type = get<1>(GetParam());
28 Mat frame = imread(filename, IMREAD_GRAYSCALE);
29
30 if (frame.empty())
31 FAIL() << "Unable to load source image " << filename;
32
33 declare.in(frame);
34
35 Ptr<FeatureDetector> fd = AgastFeatureDetector::create(70, true, type);
36 ASSERT_FALSE( fd.empty() );
37 vector<KeyPoint> points;
38
39 TEST_CYCLE() fd->detect(frame, points);
40
41 SANITY_CHECK_KEYPOINTS(points);
42 }
43
