opencv/modules/features2d/test/test_brisk.cpp

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#include "test_precomp.hpp"

using namespace cv;

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.jpg");
  Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.jpg");

  if (image1.empty() || image2.empty())
    {
      ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
      return;
    }

  Mat gray1, gray2;
  cvtColor(image1, gray1, CV_BGR2GRAY);
  cvtColor(image2, gray2, CV_BGR2GRAY);

  Ptr<FeatureDetector> detector = Algorithm::create<FeatureDetector>("Feature2D.BRISK");

  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(); }