From: Alexander Reshetnikov <no@email>
Date: Tue, 20 Dec 2011 18:59:55 +0000 (+0000)
Subject: first version of Eigen test for C++ interface
X-Git-Tag: accepted/2.0/20130307.220821~1535
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=dab358679281b3249187ca2c16e4f78a84fbea2b;p=profile%2Fivi%2Fopencv.git

first version of Eigen test for C++ interface
---

diff --git a/modules/core/test/test_eigen.cpp b/modules/core/test/test_eigen.cpp
new file mode 100644
index 0000000..65979ed
--- /dev/null
+++ b/modules/core/test/test_eigen.cpp
@@ -0,0 +1,167 @@
+#include "test_precomp.hpp"
+
+using namespace cv;
+using namespace std;
+
+class Core_EigenTest: public cvtest::BaseTest
+{
+ public: 
+	Core_EigenTest();
+	~Core_EigenTest();
+
+ protected:
+	 void run (int);
+
+	
+ private:
+ 
+ float eps_val_32, eps_vec_32;
+ double eps_val_64, eps_vec_64;
+ void check_pair_count(const cv::Mat& src, const cv::Mat& evalues);
+ void check_pair_count(const cv::Mat& src, const cv::Mat& evalues, const cv::Mat& evectors);
+ bool check_diff(const cv::Mat& original_values, const cv::Mat& original_vectors, 
+				 const cv::Mat& found_values, const cv::Mat& found_vectors, 
+				 const bool compute_eigen_vectors, const int values_type, const int norm_type);
+};
+
+Core_EigenTest::Core_EigenTest() : eps_val_32(1e-6), eps_vec_32(1e-5), eps_val_64(1e-12), eps_vec_64(1e-11) {}
+Core_EigenTest::~Core_EigenTest() {}
+
+void Core_EigenTest::check_pair_count(const cv::Mat& src, const cv::Mat& evalues)
+{
+ CV_Assert(src.rows == evalues.rows && evalues.cols == 1);
+}
+
+void Core_EigenTest::check_pair_count(const cv::Mat& src, const cv::Mat& evalues, const cv::Mat& evectors)
+{
+ CV_Assert( src.rows == evectors.rows && src.cols == evectors.cols && src.rows == evalues.rows && evalues.cols == 1);
+}
+
+bool Core_EigenTest::check_diff(const cv::Mat& original_values, const cv::Mat& original_vectors, 
+								const cv::Mat& found_values, const cv::Mat& found_vectors, 
+								const bool compute_eigen_vectors, const int values_type, const int norm_type)
+{
+ double eps_val = values_type == CV_32FC1 ? eps_val_32 : eps_val_64;
+ double eps_vec = values_type == CV_32FC1 ? eps_vec_32 : eps_vec_64;
+
+ switch (compute_eigen_vectors)
+ {
+  case true: 
+	        {
+			 double diff_val = cv::norm(original_values, found_values, norm_type);
+			 double diff_vec = cv::norm(original_vectors, found_vectors, norm_type);
+			 
+			 if (diff_val > eps_val) { ts->printf(cvtest::TS::LOG, "Accuracy of eigen values computing less than requered."); return false; }
+			 if (diff_vec > eps_vec) { ts->printf(cvtest::TS::LOG, "Accuracy of eigen vectors computing less than requered."); return false; }
+			
+			 break;
+	        }
+
+  case false: 
+	         {
+			  double diff_val = cv::norm(original_values, found_values, norm_type);
+			  		 
+			  if (diff_val > eps_val) { ts->printf(cvtest::TS::LOG, "Accuracy of eigen values computing less than requered."); return false; }
+		
+			  break;
+	         }
+
+  default:;
+ }
+
+ return true;
+}
+
+void Core_EigenTest::run(int)
+{
+  const int DIM = 3;
+   
+  bool ok = true;								
+
+  // tests data 
+
+  float sym_matrix[DIM][DIM] = { { 0.0f, 1.0f, 0.0f }, 
+								 { 1.0f, 0.0f, 1.0f }, 
+						         { 0.0f, 1.0f, 0.0f } };					// source symmerical matrix
+
+  float _eval[DIM] = { 0.5f*sqrt(2.0f), 0.0f, -0.5f*sqrt(2.0f) };		    // eigen values of 3*3 matrix
+
+  float _evec[DIM][DIM] = { { 0.5f, -1.0f, 0.5f }, 
+							{ 0.5f*sqrt(2.0f), 0.0f, -0.5f*sqrt(2.0f) },
+							{ 0.5f, 1.0f, 0.5f } };							// eigen vectors of source matrix
+
+  // initializing Mat-objects
+  
+  cv::Mat eigen_values, eigen_vectors;
+  
+  cv::Mat src_32(DIM, DIM, CV_32FC1, (void*)&sym_matrix[0]);
+  cv::Mat eval_32(DIM, 1, CV_32FC1, (void*)&_eval);
+  cv::Mat evec_32(DIM, DIM, CV_32FC1, (void*)&_evec[0]);
+
+  cv::eigen(src_32, true, eigen_values, eigen_vectors);
+
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, true, CV_32FC1, NORM_L1)) return;  
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, true, CV_32FC1, NORM_L2)) return;
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, true, CV_32FC1, NORM_INF)) return;
+
+  cv::eigen(src_32, false, eigen_values, eigen_vectors);
+
+  check_pair_count(src_32, eigen_values);
+
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, false, CV_32FC1, NORM_L1)) return;  
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, false, CV_32FC1, NORM_L2)) return;
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, false, CV_32FC1, NORM_INF)) return;
+  
+  cv::eigen(src_32, eigen_values, eigen_vectors);
+
+  check_pair_count(src_32, eigen_values, eigen_vectors);
+
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, true, CV_32FC1, NORM_L1)) return;  
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, true, CV_32FC1, NORM_L2)) return;
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, true, CV_32FC1, NORM_INF)) return;
+
+  cv::eigen(src_32, eigen_values);
+  
+  check_pair_count(src_32, eigen_values);
+
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, false, CV_32FC1, NORM_L1)) return;  
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, false, CV_32FC1, NORM_L2)) return;
+  if (!check_diff(eval_32, evec_32, eigen_values, eigen_vectors, false, CV_32FC1, NORM_INF)) return;
+   
+  cv::Mat src_64(DIM, DIM, CV_64FC1, (void*)&sym_matrix[0]);
+  cv::Mat eval_64(DIM, 1, CV_64FC1, (void*)&_eval);
+  cv::Mat evec_64(DIM, DIM, CV_64FC1, (void*)&_evec[0]);
+
+  cv::eigen(src_64, true, eigen_values, eigen_vectors);
+
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, true, CV_64FC1, NORM_L1)) return;  
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, true, CV_64FC1, NORM_L2)) return;
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, true, CV_64FC1, NORM_INF)) return;
+
+  cv::eigen(src_64, false, eigen_values, eigen_vectors);
+
+  check_pair_count(src_64, eigen_values);
+
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, false, CV_64FC1, NORM_L1)) return;  
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, false, CV_64FC1, NORM_L2)) return;
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, false, CV_64FC1, NORM_INF)) return;
+  
+  cv::eigen(src_64, eigen_values, eigen_vectors);
+
+  check_pair_count(src_64, eigen_values, eigen_vectors);
+
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, true, CV_64FC1, NORM_L1)) return;  
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, true, CV_64FC1, NORM_L2)) return;
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, true, CV_64FC1, NORM_INF)) return;
+
+  cv::eigen(src_64, eigen_values);
+  
+  check_pair_count(src_64, eigen_values);
+
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, false, CV_64FC1, NORM_L1)) return;  
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, false, CV_64FC1, NORM_L2)) return;
+  if (!check_diff(eval_64, evec_64, eigen_values, eigen_vectors, false, CV_64FC1, NORM_INF)) return;
+}
+
+TEST(Core_Eigen, quality) { Core_EigenTest test; test.safe_run(); }
+