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Merge pull request #12947 from AsyaPronina:sobel_renaming
* Renamed Sobel operator GAPI kernel to match with OpenCV naming rules * Fixed perf tests * Small refactoring to check CI issue * Refactored alignment for kernel wrappers in imgproc.hpp
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@ -190,8 +190,8 @@ is at the kernel center.
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@sa boxFilter, gaussianBlur, medianBlur
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*/
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GAPI_EXPORTS GMat sepFilter(const GMat& src, int ddepth, const Mat& kernelX, const Mat& kernelY, const Point& anchor /*FIXME: = Point(-1,-1)*/,
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const Scalar& delta /*FIXME = GScalar(0)*/, int borderType = BORDER_DEFAULT,
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const Scalar& borderValue = Scalar(0));
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const Scalar& delta /*FIXME = GScalar(0)*/, int borderType = BORDER_DEFAULT,
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const Scalar& borderValue = Scalar(0));
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/** @brief Convolves an image with the kernel.
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@ -227,7 +227,7 @@ is at the kernel center.
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@sa sepFilter
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*/
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GAPI_EXPORTS GMat filter2D(const GMat& src, int ddepth, const Mat& kernel, const Point& anchor = Point(-1,-1), const Scalar& delta = Scalar(0),
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int borderType = BORDER_DEFAULT, const Scalar& borderValue = Scalar(0));
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int borderType = BORDER_DEFAULT, const Scalar& borderValue = Scalar(0));
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/** @brief Blurs an image using the box filter.
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@ -261,8 +261,8 @@ is at the kernel center.
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@sa sepFilter, gaussianBlur, medianBlur, integral
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*/
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GAPI_EXPORTS GMat boxFilter(const GMat& src, int dtype, const Size& ksize, const Point& anchor = Point(-1,-1),
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bool normalize = true, int borderType = BORDER_DEFAULT,
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const Scalar& borderValue = Scalar(0));
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bool normalize = true, int borderType = BORDER_DEFAULT,
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const Scalar& borderValue = Scalar(0));
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/** @brief Blurs an image using the normalized box filter.
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@ -288,7 +288,7 @@ center.
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@sa boxFilter, bilateralFilter, GaussianBlur, medianBlur
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*/
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GAPI_EXPORTS GMat blur(const GMat& src, const Size& ksize, const Point& anchor = Point(-1,-1),
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int borderType = BORDER_DEFAULT, const Scalar& borderValue = Scalar(0));
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int borderType = BORDER_DEFAULT, const Scalar& borderValue = Scalar(0));
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//GAPI_EXPORTS_W void blur( InputArray src, OutputArray dst,
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@ -321,7 +321,7 @@ sigmaX, and sigmaY.
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@sa sepFilter, boxFilter, medianBlur
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*/
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GAPI_EXPORTS GMat gaussianBlur(const GMat& src, const Size& ksize, double sigmaX, double sigmaY = 0,
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int borderType = BORDER_DEFAULT, const Scalar& borderValue = Scalar(0));
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int borderType = BORDER_DEFAULT, const Scalar& borderValue = Scalar(0));
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/** @brief Blurs an image using the median filter.
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@ -364,8 +364,8 @@ anchor is at the element center.
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@sa dilate
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*/
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GAPI_EXPORTS GMat erode(const GMat& src, const Mat& kernel, const Point& anchor = Point(-1,-1), int iterations = 1,
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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/** @brief Erodes an image by using 3 by 3 rectangular structuring element.
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@ -382,8 +382,8 @@ Output image must have the same type, size, and number of channels as the input
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@sa erode, dilate3x3
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*/
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GAPI_EXPORTS GMat erode3x3(const GMat& src, int iterations = 1,
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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/** @brief Dilates an image by using a specific structuring element.
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@ -409,8 +409,8 @@ anchor is at the element center.
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@sa erode, morphologyEx, getStructuringElement
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*/
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GAPI_EXPORTS GMat dilate(const GMat& src, const Mat& kernel, const Point& anchor = Point(-1,-1), int iterations = 1,
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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/** @brief Dilates an image by using 3 by 3 rectangular structuring element.
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@ -433,8 +433,8 @@ Output image must have the same type, size, and number of channels as the input
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*/
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GAPI_EXPORTS GMat dilate3x3(const GMat& src, int iterations = 1,
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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int borderType = BORDER_CONSTANT,
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const Scalar& borderValue = morphologyDefaultBorderValue());
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/** @brief Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
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@ -482,10 +482,10 @@ applied (see cv::getDerivKernels for details).
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@param borderValue border value in case of constant border type
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@sa filter2D, gaussianBlur, cartToPolar
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*/
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GAPI_EXPORTS GMat sobel(const GMat& src, int ddepth, int dx, int dy, int ksize = 3,
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double scale = 1, double delta = 0,
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int borderType = BORDER_DEFAULT,
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const Scalar& borderValue = Scalar(0));
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GAPI_EXPORTS GMat Sobel(const GMat& src, int ddepth, int dx, int dy, int ksize = 3,
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double scale = 1, double delta = 0,
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int borderType = BORDER_DEFAULT,
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const Scalar& borderValue = Scalar(0));
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/** @brief Finds edges in an image using the Canny algorithm.
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@ -506,7 +506,7 @@ L2gradient=true ), or whether the default \f$L_1\f$ norm \f$=|dI/dx|+|dI/dy|\f$
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L2gradient=false ).
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*/
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GAPI_EXPORTS GMat Canny(const GMat& image, double threshold1, double threshold2,
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int apertureSize = 3, bool L2gradient = false);
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int apertureSize = 3, bool L2gradient = false);
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/** @brief Equalizes the histogram of a grayscale image.
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@ -462,7 +462,7 @@ PERF_TEST_P_(SobelPerfTest, TestPerformance)
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// G-API code //////////////////////////////////////////////////////////////
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cv::GMat in;
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auto out = cv::gapi::sobel(in, dtype, dx, dy, kernSize );
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auto out = cv::gapi::Sobel(in, dtype, dx, dy, kernSize );
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cv::GComputation c(in, out);
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// Warm-up graph engine:
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@ -475,8 +475,8 @@ PERF_TEST_P_(SobelPerfTest, TestPerformance)
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// Comparison //////////////////////////////////////////////////////////////
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{
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EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz);
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EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv));
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EXPECT_EQ(out_mat_gapi.size(), sz);
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}
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SANITY_CHECK_NOTHING();
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@ -73,7 +73,7 @@ GMat dilate3x3(const GMat& src, int iterations,
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return dilate(src, cv::Mat(), cv::Point(-1,-1), iterations, borderType, borderValue);
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}
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GMat sobel(const GMat& src, int ddepth, int dx, int dy, int ksize,
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GMat Sobel(const GMat& src, int ddepth, int dx, int dy, int ksize,
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double scale, double delta,
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int borderType, const Scalar& bordVal)
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{
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@ -395,7 +395,7 @@ TEST_P(SobelTest, AccuracyTest)
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// G-API code //////////////////////////////////////////////////////////////
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cv::GMat in;
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auto out = cv::gapi::sobel(in, dtype, dx, dy, kernSize );
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auto out = cv::gapi::Sobel(in, dtype, dx, dy, kernSize );
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cv::GComputation c(in, out);
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c.apply(in_mat1, out_mat_gapi, std::move(compile_args));
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