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| // For Open Source Computer Vision Library | |
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| //M*/ | |
| 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 | |