upgrade opencv to 3.3.1, complete patch similarity

[trackerpp.git] / test / TestHungarian.cpp

diff --git a/test/TestHungarian.cpp b/test/TestHungarian.cpp
index 3d6173f..55620a9 100644 (file)
--- a/test/TestHungarian.cpp
+++ b/test/TestHungarian.cpp
@@ -1,6 +1,7 @@
 #include "hungarian.h"
 #include "gtest/gtest.h"
 #include <cmath>
+#include <vector>
 
 using namespace std;
 using namespace Eigen;
@@ -46,6 +47,15 @@ TEST(Hungarian, 4x3)
     EXPECT_TRUE(expect_col_ind == col_ind);
 }
 
+TEST(Hungarian, 0x0)
+{
+    MatrixXi C = MatrixXi::Zero(0, 0);
+    VectorXi row_ind, col_ind;
+    int ret = linear_sum_assignment(C, row_ind, col_ind);
+    EXPECT_EQ(ret, 0);
+}
+
+
 TEST(Distance, consine)
 {
     Vector3d u, v;
@@ -78,3 +88,31 @@ TEST(Distance, euclidean)
     d = distance_euclidean(u, v);
     EXPECT_DOUBLE_EQ(d, 1.0);
 }
+
+TEST(Distance, vector)
+{
+    std::vector<int> sv = {1, 2, 3, 4, 5, 6};
+    VectorXi v1;
+    VectorXi b = Eigen::Map<VectorXi>(sv.data(), sv.size());
+    std::cout << b << std::endl;
+    std::vector<float> f1_hog = { 0.1, 0.2, 0,3};
+//                                    Eigen::Map<Eigen::VectorXd>(f2_hog.data(), f2_hog.size())
+
+    //VectorXd mf = Map<VectorXd, 0, InnerStride<2> >(sv.data(), sv.size());
+    std::vector<double> sd = {1, 2, 3, 4, 5, 6};
+    VectorXd mm = Map<VectorXd>(sd.data(), sd.size());
+    VectorXd xd = Map<VectorXd, 0, InnerStride<2> >(sd.data(), sd.size());
+    cout << Map<VectorXd, 0, InnerStride<2> >(sd.data(), sd.size()) << endl;
+
+    int array[12];
+    for(int i = 0; i < 12; ++i) array[i] = i;
+    cout << Map<VectorXi, 0, InnerStride<2> >(sv.data(), sv.size()) // the inner stride has already been passed as template parameter
+                      << endl;
+
+
+    //Vector3d v = Vector3d::Random();
+    //std::cout << v << std::endl;
+
+}
+
+