OpenCV_4.2.0/opencv-4.2.0/modules/features2d/test/test_brisk.cpp

109 lines
3.8 KiB
C++

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#include "test_precomp.hpp"
namespace opencv_test { namespace {
class CV_BRISKTest : public cvtest::BaseTest
{
public:
CV_BRISKTest();
~CV_BRISKTest();
protected:
void run(int);
};
CV_BRISKTest::CV_BRISKTest() {}
CV_BRISKTest::~CV_BRISKTest() {}
void CV_BRISKTest::run( int )
{
Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.png");
Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.png");
if (image1.empty() || image2.empty())
{
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
return;
}
Mat gray1, gray2;
cvtColor(image1, gray1, COLOR_BGR2GRAY);
cvtColor(image2, gray2, COLOR_BGR2GRAY);
Ptr<FeatureDetector> detector = BRISK::create();
// Check parameter get/set functions.
BRISK* detectorTyped = dynamic_cast<BRISK*>(detector.get());
ASSERT_NE(nullptr, detectorTyped);
detectorTyped->setOctaves(3);
detectorTyped->setThreshold(30);
ASSERT_EQ(detectorTyped->getOctaves(), 3);
ASSERT_EQ(detectorTyped->getThreshold(), 30);
detectorTyped->setOctaves(4);
detectorTyped->setThreshold(29);
ASSERT_EQ(detectorTyped->getOctaves(), 4);
ASSERT_EQ(detectorTyped->getThreshold(), 29);
vector<KeyPoint> keypoints1;
vector<KeyPoint> keypoints2;
detector->detect(image1, keypoints1);
detector->detect(image2, keypoints2);
for(size_t i = 0; i < keypoints1.size(); ++i)
{
const KeyPoint& kp = keypoints1[i];
ASSERT_NE(kp.angle, -1);
}
for(size_t i = 0; i < keypoints2.size(); ++i)
{
const KeyPoint& kp = keypoints2[i];
ASSERT_NE(kp.angle, -1);
}
}
TEST(Features2d_BRISK, regression) { CV_BRISKTest test; test.safe_run(); }
}} // namespace