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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef perf::TestBaseWithParam<std::string> orb;
#define ORB_IMAGES \
"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
"stitching/a3.png"
PERF_TEST_P(orb, detect, testing::Values(ORB_IMAGES))
{
string filename = getDataPath(GetParam());
Mat frame = imread(filename, IMREAD_GRAYSCALE);
if (frame.empty())
FAIL() << "Unable to load source image " << filename;
Mat mask;
declare.in(frame);
Ptr<ORB> detector = ORB::create(1500, 1.3f, 1);
vector<KeyPoint> points;
TEST_CYCLE() detector->detect(frame, points, mask);
EXPECT_GT(points.size(), 20u);
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(orb, extract, testing::Values(ORB_IMAGES))
{
string filename = getDataPath(GetParam());
Mat frame = imread(filename, IMREAD_GRAYSCALE);
if (frame.empty())
FAIL() << "Unable to load source image " << filename;
Mat mask;
declare.in(frame);
Ptr<ORB> detector = ORB::create(1500, 1.3f, 1);
vector<KeyPoint> points;
detector->detect(frame, points, mask);
EXPECT_GT(points.size(), 20u);
Mat descriptors;
TEST_CYCLE() detector->compute(frame, points, descriptors);
EXPECT_EQ((size_t)descriptors.rows, points.size());
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(orb, full, testing::Values(ORB_IMAGES))
{
string filename = getDataPath(GetParam());
Mat frame = imread(filename, IMREAD_GRAYSCALE);
if (frame.empty())
FAIL() << "Unable to load source image " << filename;
Mat mask;
declare.in(frame);
Ptr<ORB> detector = ORB::create(1500, 1.3f, 1);
vector<KeyPoint> points;
Mat descriptors;
TEST_CYCLE() detector->detectAndCompute(frame, mask, points, descriptors, false);
EXPECT_GT(points.size(), 20u);
EXPECT_EQ((size_t)descriptors.rows, points.size());
SANITY_CHECK_NOTHING();
}
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