OpenCV/opencv/modules/features2d/test/test_brisk.cpp

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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