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| // For Open Source Computer Vision Library |
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| //M*/ |
| |
| #include "test_precomp.hpp" |
| #include "opencv2/highgui.hpp" |
| #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) |
| { |
| 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 |
| |
| TEST(Features2d_Detector_Keypoints_BRISK, validation) |
| { |
| CV_FeatureDetectorKeypointsTest test(BRISK::create()); |
| test.safe_run(); |
| } |
| |
| TEST(Features2d_Detector_Keypoints_FAST, validation) |
| { |
| CV_FeatureDetectorKeypointsTest test(FastFeatureDetector::create()); |
| test.safe_run(); |
| } |
| |
| TEST(Features2d_Detector_Keypoints_AGAST, validation) |
| { |
| CV_FeatureDetectorKeypointsTest test(AgastFeatureDetector::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(); |
| } |
| |
| TEST(Features2d_Detector_Keypoints_KAZE, validation) |
| { |
| CV_FeatureDetectorKeypointsTest test(KAZE::create()); |
| test.safe_run(); |
| } |
| |
| 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(); |
| } |