fixed tests for ocl_filter2d, ocl_matchTemplate, ocl_histogram.cpp
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@ -125,7 +125,7 @@ OCL_INSTANTIATE_TEST_CASE_P(ImageProc, Filter2D,
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Combine(
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Values(CV_8U, CV_16U, CV_32F),
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OCL_ALL_CHANNELS,
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Values(3, 5, 9), // Kernel size
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Values(3, 5, 7), // Kernel size
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Values(1, 4, 8), // Width mutiple
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Values((BorderType)BORDER_CONSTANT,
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(BorderType)BORDER_REPLICATE,
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@ -99,6 +99,10 @@ PARAM_TEST_CASE(CalcBackProject, MatDepth, int, bool)
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Size roiSize = randomSize(1, MAX_VALUE);
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int totalChannels = 0;
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ranges.clear();
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channels.clear();
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for (int i = 0; i < N; ++i)
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{
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Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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@ -202,9 +206,9 @@ OCL_TEST_P(CalcBackProject, Mat)
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OCL_ON(cv::calcBackProject(uimages_roi, channels, uhist_roi, udst_roi, ranges, scale));
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Size dstSize = dst_roi.size();
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int nDiffs = (int)(0.03f*dstSize.height*dstSize.width);
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int nDiffs = (int)(0.06f*dstSize.area()+1);
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//check if the dst mats are the same except 3% difference
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//check if the dst mats are the same except 6% difference
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EXPECT_MAT_N_DIFF(dst_roi, udst_roi, nDiffs);
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}
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}
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@ -99,7 +99,7 @@ PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool)
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void Near(double threshold = 0.0)
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{
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OCL_EXPECT_MATS_NEAR_RELATIVE(result, threshold);
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OCL_EXPECT_MATS_NEAR(result, threshold);
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}
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};
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@ -112,7 +112,14 @@ OCL_TEST_P(MatchTemplate, Mat)
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OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method));
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OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method));
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Near(1.5e-4);
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bool isNormed =
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method == TM_CCORR_NORMED ||
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method == TM_SQDIFF_NORMED ||
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method == TM_CCOEFF_NORMED;
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double eps = isNormed ? 3e-2 : 255.0 * 255.0 * templ.total() * 2e-5;
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Near(eps);
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}
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}
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