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42
43 #include "test_precomp.hpp"
44
45 using namespace std;
46 using namespace cv;
47
48 class CV_AgastTest : public cvtest::BaseTest
49 {
50 public:
51 CV_AgastTest();
52 ~CV_AgastTest();
53 protected:
54 void run(int);
55 };
56
CV_AgastTest()57 CV_AgastTest::CV_AgastTest() {}
~CV_AgastTest()58 CV_AgastTest::~CV_AgastTest() {}
59
run(int)60 void CV_AgastTest::run( int )
61 {
62 for(int type=0; type <= 2; ++type) {
63 Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.png");
64 Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.png");
65 string xml = string(ts->get_data_path()) + format("agast/result%d.xml", type);
66
67 if (image1.empty() || image2.empty())
68 {
69 ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
70 return;
71 }
72
73 Mat gray1, gray2;
74 cvtColor(image1, gray1, COLOR_BGR2GRAY);
75 cvtColor(image2, gray2, COLOR_BGR2GRAY);
76
77 vector<KeyPoint> keypoints1;
78 vector<KeyPoint> keypoints2;
79 AGAST(gray1, keypoints1, 30, true, type);
80 AGAST(gray2, keypoints2, (type > 0 ? 30 : 20), true, type);
81
82 for(size_t i = 0; i < keypoints1.size(); ++i)
83 {
84 const KeyPoint& kp = keypoints1[i];
85 cv::circle(image1, kp.pt, cvRound(kp.size/2), Scalar(255, 0, 0));
86 }
87
88 for(size_t i = 0; i < keypoints2.size(); ++i)
89 {
90 const KeyPoint& kp = keypoints2[i];
91 cv::circle(image2, kp.pt, cvRound(kp.size/2), Scalar(255, 0, 0));
92 }
93
94 Mat kps1(1, (int)(keypoints1.size() * sizeof(KeyPoint)), CV_8U, &keypoints1[0]);
95 Mat kps2(1, (int)(keypoints2.size() * sizeof(KeyPoint)), CV_8U, &keypoints2[0]);
96
97 FileStorage fs(xml, FileStorage::READ);
98 if (!fs.isOpened())
99 {
100 fs.open(xml, FileStorage::WRITE);
101 if (!fs.isOpened())
102 {
103 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
104 return;
105 }
106 fs << "exp_kps1" << kps1;
107 fs << "exp_kps2" << kps2;
108 fs.release();
109 fs.open(xml, FileStorage::READ);
110 if (!fs.isOpened())
111 {
112 ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
113 return;
114 }
115 }
116
117 Mat exp_kps1, exp_kps2;
118 read( fs["exp_kps1"], exp_kps1, Mat() );
119 read( fs["exp_kps2"], exp_kps2, Mat() );
120 fs.release();
121
122 if ( exp_kps1.size != kps1.size || 0 != cvtest::norm(exp_kps1, kps1, NORM_L2) ||
123 exp_kps2.size != kps2.size || 0 != cvtest::norm(exp_kps2, kps2, NORM_L2))
124 {
125 ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
126 return;
127 }
128
129 /*cv::namedWindow("Img1"); cv::imshow("Img1", image1);
130 cv::namedWindow("Img2"); cv::imshow("Img2", image2);
131 cv::waitKey(0);*/
132 }
133
134 ts->set_failed_test_info(cvtest::TS::OK);
135 }
136
TEST(Features2d_AGAST,regression)137 TEST(Features2d_AGAST, regression) { CV_AgastTest test; test.safe_run(); }
138
