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Merge pull request #6878 from alalek:canny_custom_gradient
This commit is contained in:
Vadim Pisarevsky
commit
a455858dd9
@ -1664,6 +1664,19 @@ CV_EXPORTS_W void Canny( InputArray image, OutputArray edges,
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double threshold1, double threshold2,
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int apertureSize = 3, bool L2gradient = false );
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/** \overload
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Finds edges in an image using the Canny algorithm with custom image gradient.
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@param dx 16-bit x derivative of input image (CV_16SC1 or CV_16SC3).
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@param dy 16-bit y derivative of input image (same type as dx).
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@param edges,threshold1,threshold2,L2gradient See cv::Canny
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*/
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CV_EXPORTS_W void Canny( InputArray dx, InputArray dy,
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OutputArray edges,
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double threshold1, double threshold2,
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bool L2gradient = false );
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/** @brief Calculates the minimal eigenvalue of gradient matrices for corner detection.
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The function is similar to cornerEigenValsAndVecs but it calculates and stores only the minimal
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@ -43,6 +43,10 @@
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#include "precomp.hpp"
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#include "opencl_kernels_imgproc.hpp"
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#ifdef _MSC_VER
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#pragma warning( disable: 4127 ) // conditional expression is constant
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#endif
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#if defined (HAVE_IPP) && (IPP_VERSION_X100 >= 700)
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#define USE_IPP_CANNY 1
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@ -53,53 +57,73 @@
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namespace cv
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{
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static void CannyImpl(Mat& dx_, Mat& dy_, Mat& _dst, double low_thresh, double high_thresh, bool L2gradient);
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#ifdef HAVE_IPP
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static bool ippCanny(const Mat& _src, Mat& _dst, float low, float high)
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template <bool useCustomDeriv>
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static bool ippCanny(const Mat& _src, const Mat& dx_, const Mat& dy_, Mat& _dst, float low, float high)
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{
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#if USE_IPP_CANNY
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int size = 0, size1 = 0;
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IppiSize roi = { _src.cols, _src.rows };
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if (ippiCannyGetSize(roi, &size) < 0)
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return false;
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if (!useCustomDeriv)
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{
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#if IPP_VERSION_X100 < 900
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if (ippiFilterSobelNegVertGetBufferSize_8u16s_C1R(roi, ippMskSize3x3, &size) < 0)
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return false;
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if (ippiFilterSobelHorizGetBufferSize_8u16s_C1R(roi, ippMskSize3x3, &size1) < 0)
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return false;
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if (ippiFilterSobelNegVertGetBufferSize_8u16s_C1R(roi, ippMskSize3x3, &size1) < 0)
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return false;
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size = std::max(size, size1);
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if (ippiFilterSobelHorizGetBufferSize_8u16s_C1R(roi, ippMskSize3x3, &size1) < 0)
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return false;
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#else
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if (ippiFilterSobelNegVertBorderGetBufferSize(roi, ippMskSize3x3, ipp8u, ipp16s, 1, &size) < 0)
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return false;
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if (ippiFilterSobelHorizBorderGetBufferSize(roi, ippMskSize3x3, ipp8u, ipp16s, 1, &size1) < 0)
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return false;
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if (ippiFilterSobelNegVertBorderGetBufferSize(roi, ippMskSize3x3, ipp8u, ipp16s, 1, &size1) < 0)
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return false;
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size = std::max(size, size1);
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if (ippiFilterSobelHorizBorderGetBufferSize(roi, ippMskSize3x3, ipp8u, ipp16s, 1, &size1) < 0)
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return false;
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#endif
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size = std::max(size, size1);
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if (ippiCannyGetSize(roi, &size1) < 0)
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return false;
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size = std::max(size, size1);
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size = std::max(size, size1);
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}
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AutoBuffer<uchar> buf(size + 64);
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uchar* buffer = alignPtr((uchar*)buf, 32);
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Mat _dx(_src.rows, _src.cols, CV_16S);
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if( ippiFilterSobelNegVertBorder_8u16s_C1R(_src.ptr(), (int)_src.step,
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_dx.ptr<short>(), (int)_dx.step, roi,
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ippMskSize3x3, ippBorderRepl, 0, buffer) < 0 )
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return false;
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Mat dx, dy;
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if (!useCustomDeriv)
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{
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Mat _dx(_src.rows, _src.cols, CV_16S);
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if( ippiFilterSobelNegVertBorder_8u16s_C1R(_src.ptr(), (int)_src.step,
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_dx.ptr<short>(), (int)_dx.step, roi,
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ippMskSize3x3, ippBorderRepl, 0, buffer) < 0 )
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return false;
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Mat _dy(_src.rows, _src.cols, CV_16S);
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if( ippiFilterSobelHorizBorder_8u16s_C1R(_src.ptr(), (int)_src.step,
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_dy.ptr<short>(), (int)_dy.step, roi,
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ippMskSize3x3, ippBorderRepl, 0, buffer) < 0 )
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return false;
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Mat _dy(_src.rows, _src.cols, CV_16S);
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if( ippiFilterSobelHorizBorder_8u16s_C1R(_src.ptr(), (int)_src.step,
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_dy.ptr<short>(), (int)_dy.step, roi,
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ippMskSize3x3, ippBorderRepl, 0, buffer) < 0 )
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return false;
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if( ippiCanny_16s8u_C1R(_dx.ptr<short>(), (int)_dx.step,
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_dy.ptr<short>(), (int)_dy.step,
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swap(dx, _dx);
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swap(dy, _dy);
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}
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else
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{
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dx = dx_;
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dy = dy_;
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}
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if( ippiCanny_16s8u_C1R(dx.ptr<short>(), (int)dx.step,
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dy.ptr<short>(), (int)dy.step,
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_dst.ptr(), (int)_dst.step, roi, low, high, buffer) < 0 )
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return false;
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return true;
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#else
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CV_UNUSED(_src); CV_UNUSED(_dst); CV_UNUSED(low); CV_UNUSED(high);
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CV_UNUSED(_src); CV_UNUSED(dx_); CV_UNUSED(dy_); CV_UNUSED(_dst); CV_UNUSED(low); CV_UNUSED(high);
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return false;
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#endif
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}
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@ -107,7 +131,8 @@ static bool ippCanny(const Mat& _src, Mat& _dst, float low, float high)
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#ifdef HAVE_OPENCL
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static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float high_thresh,
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template <bool useCustomDeriv>
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static bool ocl_Canny(InputArray _src, const UMat& dx_, const UMat& dy_, OutputArray _dst, float low_thresh, float high_thresh,
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int aperture_size, bool L2gradient, int cn, const Size & size)
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{
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UMat map;
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@ -140,7 +165,8 @@ static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float
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}
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int low = cvFloor(low_thresh), high = cvFloor(high_thresh);
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if (aperture_size == 3 && !_src.isSubmatrix())
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if (!useCustomDeriv &&
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aperture_size == 3 && !_src.isSubmatrix())
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{
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/*
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stage1_with_sobel:
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@ -181,8 +207,16 @@ static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float
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Double thresholding
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*/
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UMat dx, dy;
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Sobel(_src, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE);
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Sobel(_src, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE);
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if (!useCustomDeriv)
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{
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Sobel(_src, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE);
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Sobel(_src, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE);
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}
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else
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{
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dx = dx_;
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dy = dy_;
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}
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ocl::Kernel without_sobel("stage1_without_sobel", ocl::imgproc::canny_oclsrc,
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format("-D WITHOUT_SOBEL -D cn=%d -D GRP_SIZEX=%d -D GRP_SIZEY=%d%s",
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@ -585,9 +619,7 @@ private:
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#endif
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} // namespace cv
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void cv::Canny( InputArray _src, OutputArray _dst,
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void Canny( InputArray _src, OutputArray _dst,
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double low_thresh, double high_thresh,
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int aperture_size, bool L2gradient )
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{
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@ -611,7 +643,7 @@ void cv::Canny( InputArray _src, OutputArray _dst,
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std::swap(low_thresh, high_thresh);
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CV_OCL_RUN(_dst.isUMat() && (cn == 1 || cn == 3),
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ocl_Canny(_src, _dst, (float)low_thresh, (float)high_thresh, aperture_size, L2gradient, cn, size))
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ocl_Canny<false>(_src, UMat(), UMat(), _dst, (float)low_thresh, (float)high_thresh, aperture_size, L2gradient, cn, size))
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Mat src = _src.getMat(), dst = _dst.getMat();
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@ -620,7 +652,7 @@ void cv::Canny( InputArray _src, OutputArray _dst,
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return;
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#endif
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CV_IPP_RUN(USE_IPP_CANNY && (aperture_size == 3 && !L2gradient && 1 == cn), ippCanny(src, dst, (float)low_thresh, (float)high_thresh))
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CV_IPP_RUN(USE_IPP_CANNY && (aperture_size == 3 && !L2gradient && 1 == cn), ippCanny<false>(src, Mat(), Mat(), dst, (float)low_thresh, (float)high_thresh))
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#ifdef HAVE_TBB
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@ -683,14 +715,66 @@ while (borderPeaks.try_pop(m))
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if (!m[mapstep+1]) CANNY_PUSH_SERIAL(m + mapstep + 1);
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}
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#else
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// the final pass, form the final image
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const uchar* pmap = map + mapstep + 1;
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uchar* pdst = dst.ptr();
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for (int i = 0; i < src.rows; i++, pmap += mapstep, pdst += dst.step)
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{
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for (int j = 0; j < src.cols; j++)
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pdst[j] = (uchar)-(pmap[j] >> 1);
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}
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#else
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Mat dx(src.rows, src.cols, CV_16SC(cn));
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Mat dy(src.rows, src.cols, CV_16SC(cn));
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Sobel(src, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE);
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Sobel(src, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE);
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CannyImpl(dx, dy, dst, low_thresh, high_thresh, L2gradient);
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#endif
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}
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void Canny( InputArray _dx, InputArray _dy, OutputArray _dst,
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double low_thresh, double high_thresh,
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bool L2gradient )
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{
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CV_Assert(_dx.dims() == 2);
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CV_Assert(_dx.type() == CV_16SC1 || _dx.type() == CV_16SC3);
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CV_Assert(_dy.type() == _dx.type());
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CV_Assert(_dx.sameSize(_dy));
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if (low_thresh > high_thresh)
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std::swap(low_thresh, high_thresh);
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const int cn = _dx.channels();
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const Size size = _dx.size();
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CV_OCL_RUN(_dst.isUMat(),
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ocl_Canny<true>(UMat(), _dx.getUMat(), _dy.getUMat(), _dst, (float)low_thresh, (float)high_thresh, 0, L2gradient, cn, size))
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_dst.create(size, CV_8U);
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Mat dst = _dst.getMat();
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Mat dx = _dx.getMat();
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Mat dy = _dy.getMat();
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CV_IPP_RUN(USE_IPP_CANNY && (!L2gradient && 1 == cn), ippCanny<true>(Mat(), dx, dy, dst, (float)low_thresh, (float)high_thresh))
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if (cn > 1)
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{
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dx = dx.clone();
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dy = dy.clone();
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}
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CannyImpl(dx, dy, dst, low_thresh, high_thresh, L2gradient);
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}
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static void CannyImpl(Mat& dx, Mat& dy, Mat& dst,
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double low_thresh, double high_thresh, bool L2gradient)
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{
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const int cn = dx.channels();
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const int cols = dx.cols, rows = dx.rows;
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if (L2gradient)
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{
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low_thresh = std::min(32767.0, low_thresh);
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@ -702,8 +786,8 @@ while (borderPeaks.try_pop(m))
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int low = cvFloor(low_thresh);
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int high = cvFloor(high_thresh);
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ptrdiff_t mapstep = src.cols + 2;
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AutoBuffer<uchar> buffer((src.cols+2)*(src.rows+2) + cn * mapstep * 3 * sizeof(int));
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ptrdiff_t mapstep = cols + 2;
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AutoBuffer<uchar> buffer((cols+2)*(rows+2) + cn * mapstep * 3 * sizeof(int));
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int* mag_buf[3];
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mag_buf[0] = (int*)(uchar*)buffer;
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@ -713,9 +797,9 @@ while (borderPeaks.try_pop(m))
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uchar* map = (uchar*)(mag_buf[2] + mapstep*cn);
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memset(map, 1, mapstep);
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memset(map + mapstep*(src.rows + 1), 1, mapstep);
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memset(map + mapstep*(rows + 1), 1, mapstep);
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int maxsize = std::max(1 << 10, src.cols * src.rows / 10);
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int maxsize = std::max(1 << 10, cols * rows / 10);
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std::vector<uchar*> stack(maxsize);
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uchar **stack_top = &stack[0];
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uchar **stack_bottom = &stack[0];
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@ -744,17 +828,17 @@ while (borderPeaks.try_pop(m))
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// 0 - the pixel might belong to an edge
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// 1 - the pixel can not belong to an edge
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// 2 - the pixel does belong to an edge
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for (int i = 0; i <= src.rows; i++)
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for (int i = 0; i <= rows; i++)
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{
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int* _norm = mag_buf[(i > 0) + 1] + 1;
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if (i < src.rows)
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if (i < rows)
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{
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short* _dx = dx.ptr<short>(i);
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short* _dy = dy.ptr<short>(i);
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if (!L2gradient)
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{
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int j = 0, width = src.cols * cn;
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int j = 0, width = cols * cn;
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#if CV_SSE2
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if (haveSSE2)
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{
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@ -788,7 +872,7 @@ while (borderPeaks.try_pop(m))
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}
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else
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{
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int j = 0, width = src.cols * cn;
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int j = 0, width = cols * cn;
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#if CV_SSE2
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if (haveSSE2)
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{
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@ -824,7 +908,7 @@ while (borderPeaks.try_pop(m))
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if (cn > 1)
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{
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for(int j = 0, jn = 0; j < src.cols; ++j, jn += cn)
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for(int j = 0, jn = 0; j < cols; ++j, jn += cn)
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{
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int maxIdx = jn;
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for(int k = 1; k < cn; ++k)
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@ -834,7 +918,7 @@ while (borderPeaks.try_pop(m))
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_dy[j] = _dy[maxIdx];
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}
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}
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_norm[-1] = _norm[src.cols] = 0;
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_norm[-1] = _norm[cols] = 0;
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}
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else
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memset(_norm-1, 0, /* cn* */mapstep*sizeof(int));
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@ -845,7 +929,7 @@ while (borderPeaks.try_pop(m))
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continue;
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uchar* _map = map + mapstep*i + 1;
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_map[-1] = _map[src.cols] = 1;
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_map[-1] = _map[cols] = 1;
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int* _mag = mag_buf[1] + 1; // take the central row
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ptrdiff_t magstep1 = mag_buf[2] - mag_buf[1];
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@ -854,17 +938,17 @@ while (borderPeaks.try_pop(m))
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const short* _x = dx.ptr<short>(i-1);
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const short* _y = dy.ptr<short>(i-1);
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if ((stack_top - stack_bottom) + src.cols > maxsize)
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if ((stack_top - stack_bottom) + cols > maxsize)
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{
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int sz = (int)(stack_top - stack_bottom);
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maxsize = std::max(maxsize * 3/2, sz + src.cols);
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maxsize = std::max(maxsize * 3/2, sz + cols);
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stack.resize(maxsize);
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stack_bottom = &stack[0];
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stack_top = stack_bottom + sz;
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}
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int prev_flag = 0;
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for (int j = 0; j < src.cols; j++)
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for (int j = 0; j < cols; j++)
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{
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#define CANNY_SHIFT 15
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const int TG22 = (int)(0.4142135623730950488016887242097*(1<<CANNY_SHIFT) + 0.5);
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@ -943,18 +1027,18 @@ __ocv_canny_push:
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if (!m[mapstep+1]) CANNY_PUSH(m + mapstep + 1);
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}
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#endif
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// the final pass, form the final image
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const uchar* pmap = map + mapstep + 1;
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uchar* pdst = dst.ptr();
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for (int i = 0; i < src.rows; i++, pmap += mapstep, pdst += dst.step)
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for (int i = 0; i < rows; i++, pmap += mapstep, pdst += dst.step)
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{
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for (int j = 0; j < src.cols; j++)
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for (int j = 0; j < cols; j++)
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pdst[j] = (uchar)-(pmap[j] >> 1);
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}
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}
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} // namespace cv
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void cvCanny( const CvArr* image, CvArr* edges, double threshold1,
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double threshold2, int aperture_size )
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{
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@ -54,13 +54,13 @@ namespace ocl {
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////////////////////////////////////////////////////////
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// Canny
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IMPLEMENT_PARAM_CLASS(AppertureSize, int)
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IMPLEMENT_PARAM_CLASS(ApertureSize, int)
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IMPLEMENT_PARAM_CLASS(L2gradient, bool)
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IMPLEMENT_PARAM_CLASS(UseRoi, bool)
|
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|
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PARAM_TEST_CASE(Canny, Channels, AppertureSize, L2gradient, UseRoi)
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PARAM_TEST_CASE(Canny, Channels, ApertureSize, L2gradient, UseRoi)
|
||||
{
|
||||
int cn, apperture_size;
|
||||
int cn, aperture_size;
|
||||
bool useL2gradient, use_roi;
|
||||
|
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TEST_DECLARE_INPUT_PARAMETER(src);
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@ -69,7 +69,7 @@ PARAM_TEST_CASE(Canny, Channels, AppertureSize, L2gradient, UseRoi)
|
||||
virtual void SetUp()
|
||||
{
|
||||
cn = GET_PARAM(0);
|
||||
apperture_size = GET_PARAM(1);
|
||||
aperture_size = GET_PARAM(1);
|
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useL2gradient = GET_PARAM(2);
|
||||
use_roi = GET_PARAM(3);
|
||||
}
|
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@ -105,8 +105,31 @@ OCL_TEST_P(Canny, Accuracy)
|
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eps = 12e-3;
|
||||
#endif
|
||||
|
||||
OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, apperture_size, useL2gradient));
|
||||
OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, apperture_size, useL2gradient));
|
||||
OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
|
||||
OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
|
||||
|
||||
EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps);
|
||||
EXPECT_MAT_SIMILAR(dst, udst, eps);
|
||||
}
|
||||
|
||||
OCL_TEST_P(Canny, AccuracyCustomGradient)
|
||||
{
|
||||
generateTestData();
|
||||
|
||||
const double low_thresh = 50.0, high_thresh = 100.0;
|
||||
double eps = 1e-2;
|
||||
#ifdef ANDROID
|
||||
if (cv::ocl::Device::getDefault().isNVidia())
|
||||
eps = 12e-3;
|
||||
#endif
|
||||
|
||||
OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
|
||||
OCL_ON(
|
||||
UMat dx, dy;
|
||||
Sobel(usrc_roi, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE);
|
||||
Sobel(usrc_roi, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE);
|
||||
cv::Canny(dx, dy, udst_roi, low_thresh, high_thresh, useL2gradient);
|
||||
);
|
||||
|
||||
EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps);
|
||||
EXPECT_MAT_SIMILAR(dst, udst, eps);
|
||||
@ -114,7 +137,7 @@ OCL_TEST_P(Canny, Accuracy)
|
||||
|
||||
OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine(
|
||||
testing::Values(1, 3),
|
||||
testing::Values(AppertureSize(3), AppertureSize(5)),
|
||||
testing::Values(ApertureSize(3), ApertureSize(5)),
|
||||
testing::Values(L2gradient(false), L2gradient(true)),
|
||||
testing::Values(UseRoi(false), UseRoi(true))));
|
||||
|
||||
|
||||
@ -47,7 +47,7 @@ using namespace std;
|
||||
class CV_CannyTest : public cvtest::ArrayTest
|
||||
{
|
||||
public:
|
||||
CV_CannyTest();
|
||||
CV_CannyTest(bool custom_deriv = false);
|
||||
|
||||
protected:
|
||||
void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
|
||||
@ -61,10 +61,11 @@ protected:
|
||||
bool use_true_gradient;
|
||||
double threshold1, threshold2;
|
||||
bool test_cpp;
|
||||
bool test_custom_deriv;
|
||||
};
|
||||
|
||||
|
||||
CV_CannyTest::CV_CannyTest()
|
||||
CV_CannyTest::CV_CannyTest(bool custom_deriv)
|
||||
{
|
||||
test_array[INPUT].push_back(NULL);
|
||||
test_array[OUTPUT].push_back(NULL);
|
||||
@ -75,6 +76,7 @@ CV_CannyTest::CV_CannyTest()
|
||||
threshold1 = threshold2 = 0;
|
||||
|
||||
test_cpp = false;
|
||||
test_custom_deriv = custom_deriv;
|
||||
}
|
||||
|
||||
|
||||
@ -99,6 +101,9 @@ void CV_CannyTest::get_test_array_types_and_sizes( int test_case_idx,
|
||||
|
||||
use_true_gradient = cvtest::randInt(rng) % 2 != 0;
|
||||
test_cpp = (cvtest::randInt(rng) & 256) == 0;
|
||||
|
||||
ts->printf(cvtest::TS::LOG, "Canny(size = %d x %d, aperture_size = %d, threshold1 = %g, threshold2 = %g, L2 = %s) test_cpp = %s (test case #%d)\n",
|
||||
sizes[0][0].width, sizes[0][0].height, aperture_size, threshold1, threshold2, use_true_gradient ? "TRUE" : "FALSE", test_cpp ? "TRUE" : "FALSE", test_case_idx);
|
||||
}
|
||||
|
||||
|
||||
@ -123,9 +128,24 @@ double CV_CannyTest::get_success_error_level( int /*test_case_idx*/, int /*i*/,
|
||||
|
||||
void CV_CannyTest::run_func()
|
||||
{
|
||||
if(!test_cpp)
|
||||
if (test_custom_deriv)
|
||||
{
|
||||
cv::Mat _out = cv::cvarrToMat(test_array[OUTPUT][0]);
|
||||
cv::Mat src = cv::cvarrToMat(test_array[INPUT][0]);
|
||||
cv::Mat dx, dy;
|
||||
int m = aperture_size;
|
||||
Point anchor(m/2, m/2);
|
||||
Mat dxkernel = cvtest::calcSobelKernel2D( 1, 0, m, 0 );
|
||||
Mat dykernel = cvtest::calcSobelKernel2D( 0, 1, m, 0 );
|
||||
cvtest::filter2D(src, dx, CV_16S, dxkernel, anchor, 0, BORDER_REPLICATE);
|
||||
cvtest::filter2D(src, dy, CV_16S, dykernel, anchor, 0, BORDER_REPLICATE);
|
||||
cv::Canny(dx, dy, _out, threshold1, threshold2, use_true_gradient);
|
||||
}
|
||||
else if(!test_cpp)
|
||||
{
|
||||
cvCanny( test_array[INPUT][0], test_array[OUTPUT][0], threshold1, threshold2,
|
||||
aperture_size + (use_true_gradient ? CV_CANNY_L2_GRADIENT : 0));
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::Mat _out = cv::cvarrToMat(test_array[OUTPUT][0]);
|
||||
@ -283,5 +303,6 @@ int CV_CannyTest::validate_test_results( int test_case_idx )
|
||||
}
|
||||
|
||||
TEST(Imgproc_Canny, accuracy) { CV_CannyTest test; test.safe_run(); }
|
||||
TEST(Imgproc_Canny, accuracy_deriv) { CV_CannyTest test(true); test.safe_run(); }
|
||||
|
||||
/* End of file. */
|
||||
|
||||
@ -349,8 +349,8 @@ IMPLEMENT_PARAM_CLASS(Channels, int)
|
||||
#define OCL_TEST_F(name, ...) typedef name OCL_##name; TEST_F(OCL_##name, __VA_ARGS__)
|
||||
#define OCL_TEST(name, ...) TEST(OCL_##name, __VA_ARGS__)
|
||||
|
||||
#define OCL_OFF(fn) cv::ocl::setUseOpenCL(false); fn
|
||||
#define OCL_ON(fn) cv::ocl::setUseOpenCL(true); fn
|
||||
#define OCL_OFF(...) cv::ocl::setUseOpenCL(false); __VA_ARGS__ ;
|
||||
#define OCL_ON(...) cv::ocl::setUseOpenCL(true); __VA_ARGS__ ;
|
||||
|
||||
#define OCL_ALL_DEPTHS Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F)
|
||||
#define OCL_ALL_CHANNELS Values(1, 2, 3, 4)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user