Mercurial > hg > nsaunier > traffic-intelligence

comparison trajectorymanagement/test/ManhattanMetricTest.cpp @ 1159:e1e7acef8eab

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moved trajectory management library into Traffic Intelligence
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Mon, 22 Feb 2021 22:09:35 -0500
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1158:7eb972942f22 1159:e1e7acef8eab
1 #include "ManhattanMetricTest.h"
2
3 void ManhattanMetricTest::setUp(void)
4 {
5 trajectoryA = new Trajectory<CvPoint> ();
6 trajectoryB = new Trajectory<CvPoint> ();
7 metric = new ManhattanMetric<CvPoint, int> ();
8 }
9
10 void ManhattanMetricTest::tearDown(void)
11 {
12 delete trajectoryA;
13 delete trajectoryB;
14 delete metric;
15
16 trajectoryA = NULL;
17 trajectoryB = NULL;
18 metric = NULL;
19 }
20
21 void ManhattanMetricTest::testMetric1(void)
22 {
23 int result = 0;
24 CPPUNIT_ASSERT_THROW(metric->distance(trajectoryA, trajectoryB, result),
25 TrajectoryLengthErrorException);
26 }
27
28 void ManhattanMetricTest::testMetric2(void)
29 {
30 int result = 0;
31 trajectoryA->add(cvPoint(0, 0));
32 trajectoryB->add(cvPoint(0, 0));
33 metric->distance(trajectoryA, trajectoryB, result);
34 CPPUNIT_ASSERT_EQUAL(result, 0);
35 }
36
37 void ManhattanMetricTest::testMetric3(void)
38 {
39 int result = 0;
40 trajectoryA->add(cvPoint(0, 0));
41 trajectoryB->add(cvPoint(1, 1));
42 metric->distance(trajectoryA, trajectoryB, result);
43 CPPUNIT_ASSERT_EQUAL(result, 2);
44 }
45
46 void ManhattanMetricTest::testMetric4(void)
47 {
48 int result = 0;
49 trajectoryA->add(cvPoint(0, 0));
50 trajectoryB->add(cvPoint(3, 4));
51 metric->distance(trajectoryA, trajectoryB, result);
52 CPPUNIT_ASSERT_EQUAL(result, 7);
53 }
54
55 void ManhattanMetricTest::testMetric5(void)
56 {
57 int result = 0;
58 trajectoryA->add(cvPoint(0, 0));
59 trajectoryA->add(cvPoint(-4, -3));
60 trajectoryB->add(cvPoint(3, 4));
61 trajectoryB->add(cvPoint(0, 0));
62 metric->distance(trajectoryA, trajectoryB, result);
63 CPPUNIT_ASSERT_EQUAL(result, 14);
64 }
65
66 void ManhattanMetricTest::testMetric6(void)
67 {
68 int result = 0;
69 unsigned n = 100;
70 unsigned maxRand = 10000;
71 srand(time(NULL));
72 for (unsigned i = 0; i < n; ++i)
73 {
74 unsigned rand1 = rand() % maxRand;
75 unsigned rand2 = rand() % maxRand;
76 trajectoryA->add(cvPoint(rand1, rand2));
77 trajectoryB ->add(cvPoint(rand1 + 3, rand2 + 4));
78 }
79 metric->distance(trajectoryA, trajectoryB, result);
80 CPPUNIT_ASSERT_EQUAL(result, int(n * 3 + n * 4));
81 }