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Move maxval to threshold tests parameter
Fix documentation
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@ -1275,8 +1275,8 @@ GAPI_EXPORTS std::tuple<GMat, GMat> integral(const GMat& src, int sdepth = -1, i
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The function applies fixed-level thresholding to a single- or multiple-channel matrix.
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The function is typically used to get a bi-level (binary) image out of a grayscale image ( cmp functions could be also used for
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this purpose) or for removing a noise, that is, filtering out pixels with too small or too large
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values. There are several depths of thresholding supported by the function. They are determined by
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depth parameter.
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values. There are several types of thresholding supported by the function. They are determined by
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type parameter.
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Also, the special values cv::THRESH_OTSU or cv::THRESH_TRIANGLE may be combined with one of the
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above values. In these cases, the function determines the optimal threshold value using the Otsu's
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@ -1292,17 +1292,17 @@ Output matrix must be of the same size and depth as src.
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@param src input matrix (@ref CV_8UC1, @ref CV_8UC3, or @ref CV_32FC1).
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@param thresh threshold value.
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@param maxval maximum value to use with the cv::THRESH_BINARY and cv::THRESH_BINARY_INV thresholding
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depths.
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@param depth thresholding depth (see the cv::ThresholdTypes).
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types.
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@param type thresholding type (see the cv::ThresholdTypes).
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@sa min, max, cmpGT, cmpLE, cmpGE, cmpLS
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*/
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GAPI_EXPORTS GMat threshold(const GMat& src, const GScalar& thresh, const GScalar& maxval, int depth);
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GAPI_EXPORTS GMat threshold(const GMat& src, const GScalar& thresh, const GScalar& maxval, int type);
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/** @overload
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This function applicable for all threshold depths except CV_THRESH_OTSU and CV_THRESH_TRIANGLE
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This function applicable for all threshold types except CV_THRESH_OTSU and CV_THRESH_TRIANGLE
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@note Function textual ID is "org.opencv.core.matrixop.thresholdOT"
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*/
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GAPI_EXPORTS std::tuple<GMat, GScalar> threshold(const GMat& src, const GScalar& maxval, int depth);
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GAPI_EXPORTS std::tuple<GMat, GScalar> threshold(const GMat& src, const GScalar& maxval, int type);
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/** @brief Applies a range-level threshold to each matrix element.
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@ -100,7 +100,7 @@ GAPI_TEST_FIXTURE(AddWeightedTest, initMatsRandU, FIXTURE_API(CompareMats), 1, c
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GAPI_TEST_FIXTURE(NormTest, initMatrixRandU, FIXTURE_API(CompareScalars,NormTypes), 2,
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cmpF, opType)
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GAPI_TEST_FIXTURE(IntegralTest, initNothing, <>, 0)
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GAPI_TEST_FIXTURE(ThresholdTest, initMatrixRandU, FIXTURE_API(int), 1, tt)
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GAPI_TEST_FIXTURE(ThresholdTest, initMatrixRandU, FIXTURE_API(int, cv::Scalar), 2, tt, maxval)
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GAPI_TEST_FIXTURE(ThresholdOTTest, initMatrixRandU, FIXTURE_API(int), 1, tt)
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GAPI_TEST_FIXTURE(InRangeTest, initMatrixRandU, <>, 0)
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GAPI_TEST_FIXTURE(Split3Test, initMatrixRandU, <>, 0)
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@ -682,7 +682,6 @@ TEST_P(IntegralTest, AccuracyTest)
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TEST_P(ThresholdTest, AccuracyTestBinary)
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{
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cv::Scalar thr = initScalarRandU(50);
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cv::Scalar maxval = initScalarRandU(50) + cv::Scalar(50, 50, 50, 50);
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cv::Scalar out_scalar;
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// G-API code //////////////////////////////////////////////////////////////
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@ -251,7 +251,10 @@ INSTANTIATE_TEST_CASE_P(ThresholdTestCPU, ThresholdTest,
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Values(-1),
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Values(CORE_CPU),
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Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC,
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cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV)));
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cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
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Values(cv::Scalar(0, 0, 0, 0),
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cv::Scalar(100, 100, 100, 100),
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cv::Scalar(255, 255, 255, 255))));
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INSTANTIATE_TEST_CASE_P(ThresholdTestCPU, ThresholdOTTest,
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Combine(Values(CV_8UC1),
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@ -226,7 +226,10 @@ INSTANTIATE_TEST_CASE_P(ThresholdTestFluid, ThresholdTest,
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Values(CORE_FLUID),
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Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV,
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cv::THRESH_TRUNC,
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cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV)));
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cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
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Values(cv::Scalar(0, 0, 0, 0),
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cv::Scalar(100, 100, 100, 100),
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cv::Scalar(255, 255, 255, 255))));
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INSTANTIATE_TEST_CASE_P(InRangeTestFluid, InRangeTest,
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Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
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@ -234,7 +234,10 @@ INSTANTIATE_TEST_CASE_P(ThresholdTestGPU, ThresholdTest,
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Values(-1),
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Values(CORE_GPU),
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Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC,
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cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV)));
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cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
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Values(cv::Scalar(0, 0, 0, 0),
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cv::Scalar(100, 100, 100, 100),
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cv::Scalar(255, 255, 255, 255))));
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INSTANTIATE_TEST_CASE_P(ThresholdTestGPU, ThresholdOTTest,
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Combine(Values(CV_8UC1),
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