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Merge pull request #21258 from eplankin:fix_threshold_to_zero_ipp_bug

Fixed threshold(THRESH_TOZERO) at imgproc(IPP)

* Fixed #16085: imgproc(IPP): wrong result from threshold(THRESH_TOZERO)

* 1. Added test cases with float where all bits of mantissa equal 1, min and max float as inputs
2. Used nextafterf instead of cast to hex

* Used float value in test instead of hex and casts

* Changed input value in test
This commit is contained in:
eplankin
2021-12-17 16:31:37 +03:00
committed by GitHub
parent f071207463
commit 175bcb1734
2 changed files with 31 additions and 3 deletions
+30
View File
@@ -443,4 +443,34 @@ TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_16085)
EXPECT_EQ(0, cv::norm(result, NORM_INF));
}
TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258)
{
Size sz(16, 16);
float val = nextafterf(16.0f, 0.0f); // 0x417fffff, all bits in mantissa are 1
Mat input(sz, CV_32F, Scalar::all(val));
Mat result;
cv::threshold(input, result, val, 0.0, THRESH_TOZERO);
EXPECT_EQ(0, cv::norm(result, NORM_INF));
}
TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258_Min)
{
Size sz(16, 16);
float min_val = -std::numeric_limits<float>::max();
Mat input(sz, CV_32F, Scalar::all(min_val));
Mat result;
cv::threshold(input, result, min_val, 0.0, THRESH_TOZERO);
EXPECT_EQ(0, cv::norm(result, NORM_INF));
}
TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258_Max)
{
Size sz(16, 16);
float max_val = std::numeric_limits<float>::max();
Mat input(sz, CV_32F, Scalar::all(max_val));
Mat result;
cv::threshold(input, result, max_val, 0.0, THRESH_TOZERO);
EXPECT_EQ(0, cv::norm(result, NORM_INF));
}
}} // namespace