Definition at line 18 of file linlsq_test.cc.
◆ ExpectCorrectLine()
void tesseract::LLSQTest::ExpectCorrectLine |
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const LLSQ & |
llsq, |
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double |
m, |
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double |
c, |
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double |
rms, |
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double |
pearson, |
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double |
tolerance |
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inline |
Definition at line 27 of file linlsq_test.cc.
29 EXPECT_NEAR(m, llsq.m(), tolerance);
30 EXPECT_NEAR(c, llsq.c(llsq.m()), tolerance);
31 EXPECT_NEAR(rms, llsq.rms(llsq.m(), llsq.c(llsq.m())), tolerance);
32 EXPECT_NEAR(pearson, llsq.pearson(), tolerance);
◆ ExpectCorrectVector()
void tesseract::LLSQTest::ExpectCorrectVector |
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const LLSQ & |
llsq, |
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FCOORD |
correct_mean_pt, |
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FCOORD |
correct_vector, |
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float |
tolerance |
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Definition at line 56 of file linlsq_test.cc.
58 FCOORD mean_pt = llsq.mean_point();
59 FCOORD vector = llsq.vector_fit();
60 EXPECT_NEAR(correct_mean_pt.x(), mean_pt.x(), tolerance);
61 EXPECT_NEAR(correct_mean_pt.y(), mean_pt.y(), tolerance);
62 EXPECT_NEAR(correct_vector.x(), vector.x(), tolerance);
63 EXPECT_NEAR(correct_vector.y(), vector.y(), tolerance);
◆ PtsMean()
FCOORD tesseract::LLSQTest::PtsMean |
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const std::vector< FCOORD > & |
pts | ) |
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Definition at line 34 of file linlsq_test.cc.
36 for (
const auto &p : pts) {
39 return (pts.size() > 0) ? total / pts.size() : total;
◆ SetUp()
void tesseract::LLSQTest::SetUp |
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Definition at line 20 of file linlsq_test.cc.
21 std::locale::global(std::locale(
""));
◆ TearDown()
void tesseract::LLSQTest::TearDown |
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◆ VerifyRmsOrth()
void tesseract::LLSQTest::VerifyRmsOrth |
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const std::vector< FCOORD > & |
pts, |
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const FCOORD & |
orth |
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Definition at line 41 of file linlsq_test.cc.
46 double expected_answer = 0;
47 for (
const auto &p : pts) {
48 llsq.add(p.x(), p.y());
49 double dot = nvec % (p - xavg);
50 expected_answer += dot * dot;
52 expected_answer /= pts.size();
53 expected_answer = sqrt(expected_answer);
54 EXPECT_NEAR(expected_answer, llsq.rms_orth(orth), 0.0001);
FCOORD PtsMean(const std::vector< FCOORD > &pts)
The documentation for this class was generated from the following file: