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Merge pull request #16085 from alalek:imgproc_threshold_to_zero_ipp_bug
* imgproc(IPP): wrong result from threshold(THRESH_TOZERO) * imgproc(IPP): disable IPP code to pass THRESH_TOZERO test
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@ -774,6 +774,7 @@ thresh_32f( const Mat& _src, Mat& _dst, float thresh, float maxval, int type )
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}
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setIppErrorStatus();
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break;
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#if 0 // details: https://github.com/opencv/opencv/pull/16085
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case THRESH_TOZERO:
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if (0 <= CV_INSTRUMENT_FUN_IPP(ippiThreshold_LTVal_32f_C1R, src, (int)src_step*sizeof(src[0]), dst, (int)dst_step*sizeof(dst[0]), sz, thresh + FLT_EPSILON, 0))
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{
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@ -782,6 +783,7 @@ thresh_32f( const Mat& _src, Mat& _dst, float thresh, float maxval, int type )
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}
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setIppErrorStatus();
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break;
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#endif
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case THRESH_TOZERO_INV:
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if (0 <= CV_INSTRUMENT_FUN_IPP(ippiThreshold_GTVal_32f_C1R, src, (int)src_step*sizeof(src[0]), dst, (int)dst_step*sizeof(dst[0]), sz, thresh, 0))
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{
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@ -434,4 +434,13 @@ BIGDATA_TEST(Imgproc_Threshold, huge)
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ASSERT_EQ((uint64)nz, n / 2);
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}
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TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_16085)
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{
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Size sz(16, 16);
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Mat input(sz, CV_32F, Scalar::all(2));
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Mat result;
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cv::threshold(input, result, 2.0, 0.0, THRESH_TOZERO);
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EXPECT_EQ(0, cv::norm(result, NORM_INF));
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}
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}} // namespace
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