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@ -1086,7 +1086,7 @@ void HOGDescriptorTester::detect(const Mat& img, |
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return; |
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} |
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const double eps = 0.0; |
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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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if (diff_norm > eps) |
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{ |
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@ -1096,7 +1096,6 @@ void HOGDescriptorTester::detect(const Mat& img, |
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failed = true; |
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); |
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ts->set_gtest_status(); |
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return; |
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} |
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} |
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@ -1169,7 +1168,7 @@ void HOGDescriptorTester::compute(InputArray _img, vector<float>& 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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const double eps = 0.0; |
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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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ts->printf(cvtest::TS::SUMMARY, "Norm of the difference: %lf\n", diff_norm); |
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@ -1178,7 +1177,6 @@ void HOGDescriptorTester::compute(InputArray _img, vector<float>& descriptors, |
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ts->printf(cvtest::TS::LOG, "Channels: %d\n", img.channels()); |
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ts->set_gtest_status(); |
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failed = true; |
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return; |
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} |
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} |
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@ -1315,7 +1313,7 @@ void HOGDescriptorTester::computeGradient(const Mat& img, Mat& grad, Mat& qangle |
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const char* args[] = { "Gradient's", "Qangles's" }; |
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actual_hog->computeGradient(img, actual_mats[0], actual_mats[1], paddingTL, paddingBR); |
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const double eps = 0.0; |
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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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@ -1327,7 +1325,6 @@ void HOGDescriptorTester::computeGradient(const Mat& img, Mat& grad, Mat& qangle |
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); |
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ts->set_gtest_status(); |
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failed = true; |
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return; |
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} |
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} |
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} |
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