Open Source Computer Vision Library https://opencv.org/
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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.jpg"
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);
ORB detector(1500, 1.3f, 5);
vector<KeyPoint> points;
TEST_CYCLE() detector(frame, mask, points);
}
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);
ORB detector(1500, 1.3f, 5);
vector<KeyPoint> points;
detector(frame, mask, points);
Mat descriptors;
TEST_CYCLE() detector(frame, mask, points, descriptors, true);
}
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);
ORB detector(1500, 1.3f, 5);
vector<KeyPoint> points;
Mat descriptors;
TEST_CYCLE() detector(frame, mask, points, descriptors, false);
}