mirror of
https://github.com/introlab/rtabmap.git
synced 2026-09-03 10:00:23 +08:00
285 lines
6.8 KiB
C++
285 lines
6.8 KiB
C++
|
|
#include "gtest/gtest.h"
|
||
|
|
#include "rtabmap/utilite/UMath.h"
|
||
|
|
#include <cmath>
|
||
|
|
#include <limits>
|
||
|
|
|
||
|
|
TEST(UMathTest, UIsNan)
|
||
|
|
{
|
||
|
|
float nanValue = std::numeric_limits<float>::quiet_NaN();
|
||
|
|
float normalValue = 3.14f;
|
||
|
|
|
||
|
|
EXPECT_TRUE(uIsNan(nanValue));
|
||
|
|
EXPECT_FALSE(uIsNan(normalValue));
|
||
|
|
|
||
|
|
double nanDouble = std::numeric_limits<double>::quiet_NaN();
|
||
|
|
double normalDouble = 3.14;
|
||
|
|
EXPECT_TRUE(uIsNan(nanDouble));
|
||
|
|
EXPECT_FALSE(uIsNan(normalDouble));
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UIsFinite)
|
||
|
|
{
|
||
|
|
float infValue = std::numeric_limits<float>::infinity();
|
||
|
|
float normalValue = 3.14f;
|
||
|
|
float nanValue = std::numeric_limits<float>::quiet_NaN();
|
||
|
|
|
||
|
|
EXPECT_FALSE(uIsFinite(infValue));
|
||
|
|
EXPECT_TRUE(uIsFinite(normalValue));
|
||
|
|
EXPECT_FALSE(uIsFinite(nanValue));
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMin3)
|
||
|
|
{
|
||
|
|
EXPECT_EQ(uMin3(3, 1, 2), 1);
|
||
|
|
EXPECT_EQ(uMin3(1, 2, 3), 1);
|
||
|
|
EXPECT_EQ(uMin3(2, 3, 1), 1);
|
||
|
|
EXPECT_EQ(uMin3(1.5f, 2.5f, 0.5f), 0.5f);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMax3)
|
||
|
|
{
|
||
|
|
EXPECT_EQ(uMax3(3, 1, 2), 3);
|
||
|
|
EXPECT_EQ(uMax3(1, 2, 3), 3);
|
||
|
|
EXPECT_EQ(uMax3(2, 3, 1), 3);
|
||
|
|
EXPECT_EQ(uMax3(1.5f, 2.5f, 0.5f), 2.5f);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMaxArray)
|
||
|
|
{
|
||
|
|
int arr[] = {1, 5, 3, 9, 2};
|
||
|
|
unsigned int index;
|
||
|
|
int max = uMax(arr, 5, index);
|
||
|
|
EXPECT_EQ(max, 9);
|
||
|
|
EXPECT_EQ(index, 3u);
|
||
|
|
|
||
|
|
int max2 = uMax(arr, 5);
|
||
|
|
EXPECT_EQ(max2, 9);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMaxVector)
|
||
|
|
{
|
||
|
|
std::vector<int> v = {1, 5, 3, 9, 2};
|
||
|
|
unsigned int index;
|
||
|
|
int max = uMax(v, index);
|
||
|
|
EXPECT_EQ(max, 9);
|
||
|
|
EXPECT_EQ(index, 3u);
|
||
|
|
|
||
|
|
int max2 = uMax(v);
|
||
|
|
EXPECT_EQ(max2, 9);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMinArray)
|
||
|
|
{
|
||
|
|
int arr[] = {5, 1, 3, 9, 2};
|
||
|
|
unsigned int index;
|
||
|
|
int min = uMin(arr, 5, index);
|
||
|
|
EXPECT_EQ(min, 1);
|
||
|
|
EXPECT_EQ(index, 1u);
|
||
|
|
|
||
|
|
int min2 = uMin(arr, 5);
|
||
|
|
EXPECT_EQ(min2, 1);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMinVector)
|
||
|
|
{
|
||
|
|
std::vector<int> v = {5, 1, 3, 9, 2};
|
||
|
|
unsigned int index;
|
||
|
|
int min = uMin(v, index);
|
||
|
|
EXPECT_EQ(min, 1);
|
||
|
|
EXPECT_EQ(index, 1u);
|
||
|
|
|
||
|
|
int min2 = uMin(v);
|
||
|
|
EXPECT_EQ(min2, 1);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMinMaxArray)
|
||
|
|
{
|
||
|
|
int arr[] = {5, 1, 3, 9, 2};
|
||
|
|
int min, max;
|
||
|
|
unsigned int indexMin, indexMax;
|
||
|
|
uMinMax(arr, 5, min, max, indexMin, indexMax);
|
||
|
|
EXPECT_EQ(min, 1);
|
||
|
|
EXPECT_EQ(max, 9);
|
||
|
|
EXPECT_EQ(indexMin, 1u);
|
||
|
|
EXPECT_EQ(indexMax, 3u);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMinMaxVector)
|
||
|
|
{
|
||
|
|
std::vector<int> v = {5, 1, 3, 9, 2};
|
||
|
|
int min, max;
|
||
|
|
unsigned int indexMin, indexMax;
|
||
|
|
uMinMax(v, min, max, indexMin, indexMax);
|
||
|
|
EXPECT_EQ(min, 1);
|
||
|
|
EXPECT_EQ(max, 9);
|
||
|
|
EXPECT_EQ(indexMin, 1u);
|
||
|
|
EXPECT_EQ(indexMax, 3u);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMinMaxWithoutIndices)
|
||
|
|
{
|
||
|
|
int arr[] = {5, 1, 3, 9, 2};
|
||
|
|
int min, max;
|
||
|
|
uMinMax(arr, 5, min, max);
|
||
|
|
EXPECT_EQ(min, 1);
|
||
|
|
EXPECT_EQ(max, 9);
|
||
|
|
|
||
|
|
std::vector<int> v = {5, 1, 3, 9, 2};
|
||
|
|
uMinMax(v, min, max);
|
||
|
|
EXPECT_EQ(min, 1);
|
||
|
|
EXPECT_EQ(max, 9);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, USign)
|
||
|
|
{
|
||
|
|
EXPECT_EQ(uSign(5), 1);
|
||
|
|
EXPECT_EQ(uSign(-5), -1);
|
||
|
|
EXPECT_EQ(uSign(0), 1);
|
||
|
|
EXPECT_EQ(uSign(3.14f), 1);
|
||
|
|
EXPECT_EQ(uSign(-3.14f), -1);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, USumList)
|
||
|
|
{
|
||
|
|
std::list<int> list = {1, 2, 3, 4, 5};
|
||
|
|
int sum = uSum(list);
|
||
|
|
EXPECT_EQ(sum, 15);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, USumArray)
|
||
|
|
{
|
||
|
|
int arr[] = {1, 2, 3, 4, 5};
|
||
|
|
int sum = uSum(arr, 5);
|
||
|
|
EXPECT_EQ(sum, 15);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, USumVector)
|
||
|
|
{
|
||
|
|
std::vector<int> v = {1, 2, 3, 4, 5};
|
||
|
|
int sum = uSum(v);
|
||
|
|
EXPECT_EQ(sum, 15);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, USumSquared)
|
||
|
|
{
|
||
|
|
int arr[] = {1, 2, 3};
|
||
|
|
int sum = uSumSquared(arr, 3);
|
||
|
|
EXPECT_EQ(sum, 14); // 1*1 + 2*2 + 3*3 = 1 + 4 + 9 = 14
|
||
|
|
|
||
|
|
int sum2 = uSumSquared(arr, 3, 2); // subtract 2
|
||
|
|
EXPECT_EQ(sum2, 2); // (-1)*(-1) + 0*0 + 1*1 = 1 + 0 + 1 = 2
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMean)
|
||
|
|
{
|
||
|
|
int arr[] = {1, 2, 3, 4, 5};
|
||
|
|
float mean = uMean(arr, 5);
|
||
|
|
EXPECT_FLOAT_EQ(mean, 3.0f);
|
||
|
|
|
||
|
|
std::vector<int> v = {1, 2, 3, 4, 5};
|
||
|
|
float mean2 = uMean(v);
|
||
|
|
EXPECT_FLOAT_EQ(mean2, 3.0f);
|
||
|
|
|
||
|
|
std::list<int> list = {1, 2, 3, 4, 5};
|
||
|
|
float mean3 = uMean(list);
|
||
|
|
EXPECT_FLOAT_EQ(mean3, 3.0f);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UMeanSquaredError)
|
||
|
|
{
|
||
|
|
float x[] = {1.0f, 2.0f, 3.0f};
|
||
|
|
float y[] = {1.1f, 2.1f, 3.1f};
|
||
|
|
float mse = uMeanSquaredError(x, 3, y, 3);
|
||
|
|
EXPECT_NEAR(mse, 0.01f, 0.001f); // (0.1^2 + 0.1^2 + 0.1^2) / 3 = 0.01
|
||
|
|
|
||
|
|
std::vector<float> vx = {1.0f, 2.0f, 3.0f};
|
||
|
|
std::vector<float> vy = {1.1f, 2.1f, 3.1f};
|
||
|
|
float mse2 = uMeanSquaredError(vx, vy);
|
||
|
|
EXPECT_NEAR(mse2, 0.01f, 0.001f);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UVariance)
|
||
|
|
{
|
||
|
|
float arr[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f};
|
||
|
|
float mean = uMean(arr, 5);
|
||
|
|
float variance = uVariance(arr, 5, mean);
|
||
|
|
EXPECT_NEAR(variance, 2.5f, 0.1f); // Variance of 1,2,3,4,5 is 2.5
|
||
|
|
|
||
|
|
float variance2 = uVariance(arr, 5);
|
||
|
|
EXPECT_NEAR(variance2, 2.5f, 0.1f);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UNormSquared)
|
||
|
|
{
|
||
|
|
std::vector<float> v = {3.0f, 4.0f};
|
||
|
|
float normSq = uNormSquared(v);
|
||
|
|
EXPECT_FLOAT_EQ(normSq, 25.0f); // 3*3 + 4*4 = 9 + 16 = 25
|
||
|
|
|
||
|
|
float normSq2 = uNormSquared(3.0f, 4.0f);
|
||
|
|
EXPECT_FLOAT_EQ(normSq2, 25.0f);
|
||
|
|
|
||
|
|
float normSq3 = uNormSquared(1.0f, 2.0f, 3.0f);
|
||
|
|
EXPECT_FLOAT_EQ(normSq3, 14.0f); // 1*1 + 2*2 + 3*3 = 1 + 4 + 9 = 14
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UNorm)
|
||
|
|
{
|
||
|
|
std::vector<float> v = {3.0f, 4.0f};
|
||
|
|
float norm = uNorm(v);
|
||
|
|
EXPECT_FLOAT_EQ(norm, 5.0f); // sqrt(3*3 + 4*4) = sqrt(25) = 5
|
||
|
|
|
||
|
|
float norm2 = uNorm(3.0f, 4.0f);
|
||
|
|
EXPECT_FLOAT_EQ(norm2, 5.0f);
|
||
|
|
|
||
|
|
float norm3 = uNorm(1.0f, 2.0f, 3.0f);
|
||
|
|
EXPECT_NEAR(norm3, 3.741657f, 0.001f); // sqrt(14)
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UNormalize)
|
||
|
|
{
|
||
|
|
std::vector<float> v = {3.0f, 4.0f};
|
||
|
|
std::vector<float> normalized = uNormalize(v);
|
||
|
|
float norm = uNorm(normalized);
|
||
|
|
EXPECT_NEAR(norm, 1.0f, 0.001f);
|
||
|
|
|
||
|
|
std::vector<float> zero = {0.0f, 0.0f};
|
||
|
|
std::vector<float> normalizedZero = uNormalize(zero);
|
||
|
|
EXPECT_EQ(normalizedZero.size(), 2u);
|
||
|
|
EXPECT_FLOAT_EQ(normalizedZero[0], 0.0f);
|
||
|
|
EXPECT_FLOAT_EQ(normalizedZero[1], 0.0f);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, ULocalMaxima)
|
||
|
|
{
|
||
|
|
float arr[] = {1.0f, 3.0f, 2.0f, 5.0f, 4.0f, 6.0f, 3.0f};
|
||
|
|
std::list<unsigned int> maxima = uLocalMaxima(arr, 7);
|
||
|
|
// Should find maxima at indices 1, 3, 5
|
||
|
|
EXPECT_GT(maxima.size(), 0u);
|
||
|
|
|
||
|
|
std::vector<float> v = {1.0f, 3.0f, 2.0f, 5.0f, 4.0f};
|
||
|
|
std::list<unsigned int> maxima2 = uLocalMaxima(v);
|
||
|
|
EXPECT_GT(maxima2.size(), 0u);
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UHamming)
|
||
|
|
{
|
||
|
|
std::vector<float> window = uHamming(10);
|
||
|
|
EXPECT_EQ(window.size(), 10u);
|
||
|
|
// Hamming window values should be between 0 and 1
|
||
|
|
for(float w : window)
|
||
|
|
{
|
||
|
|
EXPECT_GE(w, 0.0f);
|
||
|
|
EXPECT_LE(w, 1.0f);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
TEST(UMathTest, UIsInBounds)
|
||
|
|
{
|
||
|
|
EXPECT_TRUE(uIsInBounds(5, 0, 10));
|
||
|
|
EXPECT_FALSE(uIsInBounds(10, 0, 10));
|
||
|
|
EXPECT_FALSE(uIsInBounds(-1, 0, 10));
|
||
|
|
EXPECT_FALSE(uIsInBounds(std::numeric_limits<float>::quiet_NaN(), 0.0f, 10.0f));
|
||
|
|
EXPECT_FALSE(uIsInBounds(std::numeric_limits<float>::infinity(), 0.0f, 10.0f));
|
||
|
|
}
|
||
|
|
|