45 lines
1.3 KiB
C++
45 lines
1.3 KiB
C++
#include "perf_precomp.hpp"
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
using namespace perf;
|
|
using std::tr1::make_tuple;
|
|
using std::tr1::get;
|
|
|
|
enum { TYPE_5_8 =FastFeatureDetector::TYPE_5_8, TYPE_7_12 = FastFeatureDetector::TYPE_7_12, TYPE_9_16 = FastFeatureDetector::TYPE_9_16 };
|
|
CV_ENUM(FastType, TYPE_5_8, TYPE_7_12, TYPE_9_16)
|
|
|
|
typedef std::tr1::tuple<String, FastType> File_Type_t;
|
|
typedef perf::TestBaseWithParam<File_Type_t> fast;
|
|
|
|
#define FAST_IMAGES \
|
|
"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
|
|
"stitching/a3.png"
|
|
|
|
PERF_TEST_P(fast, detect, testing::Combine(
|
|
testing::Values(FAST_IMAGES),
|
|
testing::ValuesIn(FastType::all())
|
|
))
|
|
{
|
|
String filename = getDataPath(get<0>(GetParam()));
|
|
int type = get<1>(GetParam());
|
|
Mat frame = imread(filename, IMREAD_GRAYSCALE);
|
|
|
|
if (frame.empty())
|
|
FAIL() << "Unable to load source image " << filename;
|
|
|
|
declare.in(frame);
|
|
|
|
Ptr<FeatureDetector> fd = Algorithm::create<FeatureDetector>("Feature2D.FAST");
|
|
ASSERT_FALSE( fd == 0 );
|
|
fd->set("threshold", 20);
|
|
fd->set("nonmaxSuppression", true);
|
|
fd->set("type", type);
|
|
vector<KeyPoint> points;
|
|
|
|
TEST_CYCLE() fd->detect(frame, points);
|
|
|
|
SANITY_CHECK_KEYPOINTS(points);
|
|
}
|
|
|