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G-API: Laplacian and bilateralFilter standard kernels * Added Laplacian kernel and tests * Added: Laplacian kernel, Bilateral kernel (CPU, GPU); Performance and accuracy tests for this kernels * Changed tolerance for GPU test * boner * Some changes with alignment; Tests's parameters are the same as for OCV * Cut tests * Compressed tests * Minor changes (rsrt bb) * Returned types
210 lines
5.7 KiB
C++
210 lines
5.7 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2018-2020 Intel Corporation
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#include "precomp.hpp"
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#include <opencv2/gapi/gscalar.hpp>
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#include <opencv2/gapi/gcall.hpp>
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#include <opencv2/gapi/gkernel.hpp>
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#include <opencv2/gapi/imgproc.hpp>
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namespace cv { namespace gapi {
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GMat sepFilter(const GMat& src, int ddepth, const Mat& kernelX, const Mat& kernelY, const Point& anchor,
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const Scalar& delta, int borderType, const Scalar& borderVal)
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{
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return imgproc::GSepFilter::on(src, ddepth, kernelX, kernelY, anchor, delta, borderType, borderVal);
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}
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GMat filter2D(const GMat& src, int ddepth, const Mat& kernel, const Point& anchor, const Scalar& delta, int borderType,
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const Scalar& bordVal)
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{
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return imgproc::GFilter2D::on(src, ddepth, kernel, anchor, delta, borderType, bordVal);
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}
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GMat boxFilter(const GMat& src, int dtype, const Size& ksize, const Point& anchor,
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bool normalize, int borderType, const Scalar& bordVal)
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{
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return imgproc::GBoxFilter::on(src, dtype, ksize, anchor, normalize, borderType, bordVal);
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}
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GMat blur(const GMat& src, const Size& ksize, const Point& anchor,
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int borderType, const Scalar& bordVal)
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{
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return imgproc::GBlur::on(src, ksize, anchor, borderType, bordVal);
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}
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GMat gaussianBlur(const GMat& src, const Size& ksize, double sigmaX, double sigmaY,
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int borderType, const Scalar& bordVal)
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{
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return imgproc::GGaussBlur::on(src, ksize, sigmaX, sigmaY, borderType, bordVal);
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}
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GMat medianBlur(const GMat& src, int ksize)
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{
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return imgproc::GMedianBlur::on(src, ksize);
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}
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GMat erode(const GMat& src, const Mat& kernel, const Point& anchor, int iterations,
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int borderType, const Scalar& borderValue )
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{
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return imgproc::GErode::on(src, kernel, anchor, iterations, borderType, borderValue);
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}
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GMat erode3x3(const GMat& src, int iterations,
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int borderType, const Scalar& borderValue )
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{
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return erode(src, cv::Mat(), cv::Point(-1, -1), iterations, borderType, borderValue);
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}
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GMat dilate(const GMat& src, const Mat& kernel, const Point& anchor, int iterations,
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int borderType, const Scalar& borderValue)
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{
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return imgproc::GDilate::on(src, kernel, anchor, iterations, borderType, borderValue);
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}
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GMat dilate3x3(const GMat& src, int iterations,
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int borderType, const Scalar& borderValue)
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{
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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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double scale, double delta,
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int borderType, const Scalar& bordVal)
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{
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return imgproc::GSobel::on(src, ddepth, dx, dy, ksize, scale, delta, borderType, bordVal);
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}
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std::tuple<GMat, GMat> SobelXY(const GMat& src, int ddepth, int order, 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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return imgproc::GSobelXY::on(src, ddepth, order, ksize, scale, delta, borderType, bordVal);
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}
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GMat Laplacian(const GMat& src, int ddepth, int ksize, double scale, double delta, int borderType)
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{
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return imgproc::GLaplacian::on(src, ddepth, ksize, scale, delta, borderType);
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}
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GMat bilateralFilter(const GMat& src, int d, double sigmaColor, double sigmaSpace, int borderType)
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{
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return imgproc::GBilateralFilter::on(src, d, sigmaColor, sigmaSpace, borderType);
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}
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GMat equalizeHist(const GMat& src)
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{
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return imgproc::GEqHist::on(src);
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}
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GMat Canny(const GMat& src, double thr1, double thr2, int apertureSize, bool l2gradient)
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{
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return imgproc::GCanny::on(src, thr1, thr2, apertureSize, l2gradient);
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}
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cv::GArray<cv::Point2f> goodFeaturesToTrack(const GMat& image, int maxCorners, double qualityLevel,
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double minDistance, const Mat& mask, int blockSize,
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bool useHarrisDetector, double k)
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{
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return imgproc::GGoodFeatures::on(image, maxCorners, qualityLevel, minDistance, mask, blockSize,
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useHarrisDetector, k);
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}
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GMat RGB2Gray(const GMat& src)
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{
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return imgproc::GRGB2Gray::on(src);
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}
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GMat RGB2Gray(const GMat& src, float rY, float gY, float bY)
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{
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return imgproc::GRGB2GrayCustom::on(src, rY, gY, bY);
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}
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GMat BGR2Gray(const GMat& src)
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{
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return imgproc::GBGR2Gray::on(src);
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}
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GMat RGB2YUV(const GMat& src)
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{
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return imgproc::GRGB2YUV::on(src);
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}
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GMat BGR2LUV(const GMat& src)
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{
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return imgproc::GBGR2LUV::on(src);
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}
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GMat LUV2BGR(const GMat& src)
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{
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return imgproc::GLUV2BGR::on(src);
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}
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GMat BGR2YUV(const GMat& src)
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{
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return imgproc::GBGR2YUV::on(src);
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}
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GMat YUV2BGR(const GMat& src)
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{
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return imgproc::GYUV2BGR::on(src);
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}
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GMat YUV2RGB(const GMat& src)
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{
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return imgproc::GYUV2RGB::on(src);
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}
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GMat NV12toRGB(const GMat& src_y, const GMat& src_uv)
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{
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return imgproc::GNV12toRGB::on(src_y, src_uv);
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}
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GMat NV12toBGR(const GMat& src_y, const GMat& src_uv)
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{
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return imgproc::GNV12toBGR::on(src_y, src_uv);
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}
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GMat RGB2Lab(const GMat& src)
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{
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return imgproc::GRGB2Lab::on(src);
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}
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GMat BayerGR2RGB(const GMat& src_gr)
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{
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return imgproc::GBayerGR2RGB::on(src_gr);
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}
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GMat RGB2HSV(const GMat& src)
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{
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return imgproc::GRGB2HSV::on(src);
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}
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GMat RGB2YUV422(const GMat& src)
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{
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return imgproc::GRGB2YUV422::on(src);
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}
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GMat NV12toGray(const GMat &y, const GMat &uv)
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{
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return imgproc::GNV12toGray::on(y, uv);
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}
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GMatP NV12toRGBp(const GMat &y, const GMat &uv)
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{
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return imgproc::GNV12toRGBp::on(y, uv);
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}
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GMatP NV12toBGRp(const GMat &y, const GMat &uv)
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{
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return imgproc::GNV12toBGRp::on(y, uv);
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}
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} //namespace gapi
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} //namespace cv
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