mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2025-08-06 14:36:36 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

test: change EPS in Objdetect_HOGDetector tests

Browse Source
This commit is contained in:
Alexander Alekhin 2016-11-21 14:20:25 +03:00
parent fb456eb69c
commit 771fa5b8ac
1 changed files with 3 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
modules/objdetect/test/test_cascadeandhog.cpp
View File

@ -1086,7 +1086,7 @@ void HOGDescriptorTester::detect(const Mat& img,
return; return;
} }
const double eps = 0.0; const double eps = FLT_EPSILON * 100;
double diff_norm = cvtest::norm(actual_weights, weights, NORM_L2); double diff_norm = cvtest::norm(actual_weights, weights, NORM_L2);
if (diff_norm > eps) if (diff_norm > eps)
{ {
@ -1096,7 +1096,6 @@ void HOGDescriptorTester::detect(const Mat& img,
failed = true; failed = true;
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
ts->set_gtest_status(); ts->set_gtest_status();
return;
} }
} }
@ -1169,7 +1168,7 @@ void HOGDescriptorTester::compute(InputArray _img, vector<float>& descriptors,
actual_hog->compute(img, actual_descriptors, winStride, padding, locations); actual_hog->compute(img, actual_descriptors, winStride, padding, locations);
double diff_norm = cvtest::norm(actual_descriptors, descriptors, NORM_L2); double diff_norm = cvtest::norm(actual_descriptors, descriptors, NORM_L2);
const double eps = 0.0; const double eps = FLT_EPSILON * 100;
if (diff_norm > eps) if (diff_norm > eps)
{ {
ts->printf(cvtest::TS::SUMMARY, "Norm of the difference: %lf\n", diff_norm); ts->printf(cvtest::TS::SUMMARY, "Norm of the difference: %lf\n", diff_norm);
@ -1178,7 +1177,6 @@ void HOGDescriptorTester::compute(InputArray _img, vector<float>& descriptors,
ts->printf(cvtest::TS::LOG, "Channels: %d\n", img.channels()); ts->printf(cvtest::TS::LOG, "Channels: %d\n", img.channels());
ts->set_gtest_status(); ts->set_gtest_status();
failed = true; failed = true;
return;
} }
} }
@ -1315,7 +1313,7 @@ void HOGDescriptorTester::computeGradient(const Mat& img, Mat& grad, Mat& qangle
const char* args[] = { "Gradient's", "Qangles's" }; const char* args[] = { "Gradient's", "Qangles's" };
actual_hog->computeGradient(img, actual_mats[0], actual_mats[1], paddingTL, paddingBR); actual_hog->computeGradient(img, actual_mats[0], actual_mats[1], paddingTL, paddingBR);
const double eps = 0.0; const double eps = FLT_EPSILON * 100;
for (i = 0; i < 2; ++i) for (i = 0; i < 2; ++i)
{ {
double diff_norm = cvtest::norm(reference_mats[i], actual_mats[i], NORM_L2); double diff_norm = cvtest::norm(reference_mats[i], actual_mats[i], NORM_L2);
@ -1327,7 +1325,6 @@ void HOGDescriptorTester::computeGradient(const Mat& img, Mat& grad, Mat& qangle
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
ts->set_gtest_status(); ts->set_gtest_status();
failed = true; failed = true;
return;
} }
} }
} }