opencv/modules/features2d/test/test_keypoints.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// Intel License Agreement
// For Open Source Computer Vision Library
//
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#include "test_precomp.hpp"
#include "opencv2/highgui.hpp"
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#include "opencv2/core/core_c.h"
using namespace std;
using namespace cv;
const string FEATURES2D_DIR = "features2d";
const string IMAGE_FILENAME = "tsukuba.png";
/****************************************************************************************\
* Test for KeyPoint *
\****************************************************************************************/
class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest
{
public:
CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) :
detector(_detector) {}
protected:
virtual void run(int)
{
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CV_Assert(detector);
string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
// Read the test image.
Mat image = imread(imgFilename);
if(image.empty())
{
ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str());
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
vector<KeyPoint> keypoints;
detector->detect(image, keypoints);
if(keypoints.empty())
{
ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
Rect r(0, 0, image.cols, image.rows);
for(size_t i = 0; i < keypoints.size(); i++)
{
const KeyPoint& kp = keypoints[i];
if(!r.contains(kp.pt))
{
ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
if(kp.size <= 0.f)
{
ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f)
{
ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle);
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
}
ts->set_failed_test_info(cvtest::TS::OK);
}
Ptr<FeatureDetector> detector;
};
// Registration of tests
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TEST(Features2d_Detector_Keypoints_BRISK, validation)
{
CV_FeatureDetectorKeypointsTest test(BRISK::create());
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test.safe_run();
}
TEST(Features2d_Detector_Keypoints_FAST, validation)
{
CV_FeatureDetectorKeypointsTest test(FastFeatureDetector::create());
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_HARRIS, validation)
{
CV_FeatureDetectorKeypointsTest test(GFTTDetector::create(1000, 0.01, 1, 3, true, 0.04));
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_GFTT, validation)
{
Ptr<GFTTDetector> gftt = GFTTDetector::create();
gftt->setHarrisDetector(true);
CV_FeatureDetectorKeypointsTest test(gftt);
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_MSER, validation)
{
CV_FeatureDetectorKeypointsTest test(MSER::create());
test.safe_run();
}
TEST(Features2d_Detector_Keypoints_ORB, validation)
{
CV_FeatureDetectorKeypointsTest test(ORB::create());
test.safe_run();
}
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TEST(Features2d_Detector_Keypoints_KAZE, validation)
{
CV_FeatureDetectorKeypointsTest test(KAZE::create());
test.safe_run();
}
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TEST(Features2d_Detector_Keypoints_AKAZE, validation)
{
CV_FeatureDetectorKeypointsTest test_kaze(AKAZE::create(AKAZE::DESCRIPTOR_KAZE));
test_kaze.safe_run();
CV_FeatureDetectorKeypointsTest test_mldb(AKAZE::create(AKAZE::DESCRIPTOR_MLDB));
test_mldb.safe_run();
}