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https://github.com/opencv/opencv.git
synced 2026-07-30 15:53:03 +04:00
@@ -1,9 +1,5 @@
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#include "test_precomp.hpp"
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#include <cmath>
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#ifndef NAN
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#include <limits> // numeric_limits<T>::quiet_NaN()
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#define NAN std::numeric_limits<float>::quiet_NaN()
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#endif
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using namespace cv;
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using namespace std;
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@@ -1895,7 +1891,7 @@ TEST(MinMaxLoc, regression_4955_nans)
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cv::Mat one_mat(2, 2, CV_32F, cv::Scalar(1));
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cv::minMaxLoc(one_mat, NULL, NULL, NULL, NULL);
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cv::Mat nan_mat(2, 2, CV_32F, cv::Scalar(NAN));
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cv::Mat nan_mat(2, 2, CV_32F, cv::Scalar(std::numeric_limits<float>::quiet_NaN()));
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cv::minMaxLoc(nan_mat, NULL, NULL, NULL, NULL);
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}
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@@ -1087,7 +1087,7 @@ void HOGDescriptorTester::detect(const Mat& img,
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}
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const double eps = FLT_EPSILON * 100;
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double diff_norm = cvtest::norm(actual_weights, weights, NORM_L2);
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double diff_norm = cvtest::norm(actual_weights, weights, NORM_L2 + NORM_RELATIVE);
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if (diff_norm > eps)
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{
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ts->printf(cvtest::TS::SUMMARY, "Weights for found locations aren't equal.\n"
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@@ -1167,7 +1167,7 @@ void HOGDescriptorTester::compute(InputArray _img, vector<float>& descriptors,
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std::vector<float> actual_descriptors;
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actual_hog->compute(img, actual_descriptors, winStride, padding, locations);
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double diff_norm = cvtest::norm(actual_descriptors, descriptors, NORM_L2);
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double diff_norm = cvtest::norm(actual_descriptors, descriptors, NORM_L2 + NORM_RELATIVE);
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const double eps = FLT_EPSILON * 100;
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if (diff_norm > eps)
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{
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@@ -1316,7 +1316,7 @@ void HOGDescriptorTester::computeGradient(const Mat& img, Mat& grad, Mat& qangle
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const double eps = FLT_EPSILON * 100;
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for (i = 0; i < 2; ++i)
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{
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double diff_norm = cvtest::norm(reference_mats[i], actual_mats[i], NORM_L2);
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double diff_norm = cvtest::norm(actual_mats[i], reference_mats[i], NORM_L2 + NORM_RELATIVE);
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if (diff_norm > eps)
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{
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ts->printf(cvtest::TS::LOG, "%s matrices are not equal\n"
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