Canny
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@@ -91,7 +91,6 @@ void cv::gpu::Canny(const GpuMat&, GpuMat&, double, double, int, bool) { throw_n
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void cv::gpu::Canny(const GpuMat&, CannyBuf&, GpuMat&, double, double, int, bool) { throw_nogpu(); }
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void cv::gpu::Canny(const GpuMat&, const GpuMat&, GpuMat&, double, double, bool) { throw_nogpu(); }
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void cv::gpu::Canny(const GpuMat&, const GpuMat&, CannyBuf&, GpuMat&, double, double, bool) { throw_nogpu(); }
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cv::gpu::CannyBuf::CannyBuf(const GpuMat&, const GpuMat&) { throw_nogpu(); }
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void cv::gpu::CannyBuf::create(const Size&, int) { throw_nogpu(); }
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void cv::gpu::CannyBuf::release() { throw_nogpu(); }
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@@ -1466,92 +1465,76 @@ void cv::gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result,
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//////////////////////////////////////////////////////////////////////////////
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// Canny
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cv::gpu::CannyBuf::CannyBuf(const GpuMat& dx_, const GpuMat& dy_) : dx(dx_), dy(dy_)
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{
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CV_Assert(dx_.type() == CV_32SC1 && dy_.type() == CV_32SC1 && dx_.size() == dy_.size());
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create(dx_.size(), -1);
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}
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void cv::gpu::CannyBuf::create(const Size& image_size, int apperture_size)
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{
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ensureSizeIsEnough(image_size, CV_32SC1, dx);
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ensureSizeIsEnough(image_size, CV_32SC1, dy);
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if (apperture_size > 0)
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{
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ensureSizeIsEnough(image_size, CV_32SC1, dx);
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ensureSizeIsEnough(image_size, CV_32SC1, dy);
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if (apperture_size == 3)
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{
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ensureSizeIsEnough(image_size, CV_32SC1, dx_buf);
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ensureSizeIsEnough(image_size, CV_32SC1, dy_buf);
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}
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else if(apperture_size > 0)
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{
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if (!filterDX)
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if (apperture_size != 3)
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{
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filterDX = createDerivFilter_GPU(CV_8UC1, CV_32S, 1, 0, apperture_size, BORDER_REPLICATE);
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if (!filterDY)
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filterDY = createDerivFilter_GPU(CV_8UC1, CV_32S, 0, 1, apperture_size, BORDER_REPLICATE);
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}
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}
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ensureSizeIsEnough(image_size.height + 2, image_size.width + 2, CV_32FC1, edgeBuf);
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ensureSizeIsEnough(image_size, CV_32FC1, mag);
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ensureSizeIsEnough(image_size, CV_32SC1, map);
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ensureSizeIsEnough(1, image_size.width * image_size.height, CV_16UC2, trackBuf1);
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ensureSizeIsEnough(1, image_size.width * image_size.height, CV_16UC2, trackBuf2);
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ensureSizeIsEnough(1, image_size.area(), CV_16UC2, st1);
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ensureSizeIsEnough(1, image_size.area(), CV_16UC2, st2);
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}
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void cv::gpu::CannyBuf::release()
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{
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dx.release();
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dy.release();
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dx_buf.release();
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dy_buf.release();
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edgeBuf.release();
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trackBuf1.release();
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trackBuf2.release();
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mag.release();
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map.release();
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st1.release();
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st2.release();
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}
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namespace cv { namespace gpu { namespace device
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namespace canny
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{
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namespace canny
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{
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void calcSobelRowPass_gpu(PtrStepb src, PtrStepi dx_buf, PtrStepi dy_buf, int rows, int cols);
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void calcMagnitude(PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, bool L2Grad);
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void calcMagnitude(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, bool L2Grad);
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void calcMagnitude_gpu(PtrStepi dx_buf, PtrStepi dy_buf, PtrStepi dx, PtrStepi dy, PtrStepf mag, int rows, int cols, bool L2Grad);
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void calcMagnitude_gpu(PtrStepi dx, PtrStepi dy, PtrStepf mag, int rows, int cols, bool L2Grad);
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void calcMap(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, PtrStepSzi map, float low_thresh, float high_thresh);
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void calcMap_gpu(PtrStepi dx, PtrStepi dy, PtrStepf mag, PtrStepi map, int rows, int cols, float low_thresh, float high_thresh);
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void edgesHysteresisLocal(PtrStepSzi map, ushort2* st1);
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void edgesHysteresisLocal_gpu(PtrStepi map, ushort2* st1, int rows, int cols);
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void edgesHysteresisGlobal(PtrStepSzi map, ushort2* st1, ushort2* st2);
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void edgesHysteresisGlobal_gpu(PtrStepi map, ushort2* st1, ushort2* st2, int rows, int cols);
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void getEdges_gpu(PtrStepi map, PtrStepb dst, int rows, int cols);
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}
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}}}
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void getEdges(PtrStepSzi map, PtrStepSzb dst);
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}
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namespace
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{
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void CannyCaller(CannyBuf& buf, GpuMat& dst, float low_thresh, float high_thresh)
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void CannyCaller(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, float low_thresh, float high_thresh)
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{
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using namespace ::cv::gpu::device::canny;
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using namespace canny;
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calcMap_gpu(buf.dx, buf.dy, buf.edgeBuf, buf.edgeBuf, dst.rows, dst.cols, low_thresh, high_thresh);
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calcMap(dx, dy, buf.mag, buf.map, low_thresh, high_thresh);
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edgesHysteresisLocal_gpu(buf.edgeBuf, buf.trackBuf1.ptr<ushort2>(), dst.rows, dst.cols);
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edgesHysteresisLocal(buf.map, buf.st1.ptr<ushort2>());
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edgesHysteresisGlobal_gpu(buf.edgeBuf, buf.trackBuf1.ptr<ushort2>(), buf.trackBuf2.ptr<ushort2>(), dst.rows, dst.cols);
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edgesHysteresisGlobal(buf.map, buf.st1.ptr<ushort2>(), buf.st2.ptr<ushort2>());
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getEdges_gpu(buf.edgeBuf, dst, dst.rows, dst.cols);
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getEdges(buf.map, dst);
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}
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}
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void cv::gpu::Canny(const GpuMat& src, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient)
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{
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CannyBuf buf(src.size(), apperture_size);
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CannyBuf buf;
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Canny(src, buf, dst, low_thresh, high_thresh, apperture_size, L2gradient);
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}
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void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient)
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{
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using namespace ::cv::gpu::device::canny;
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using namespace canny;
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CV_Assert(src.type() == CV_8UC1);
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@@ -1562,37 +1545,37 @@ void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_th
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std::swap( low_thresh, high_thresh);
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dst.create(src.size(), CV_8U);
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dst.setTo(Scalar::all(0));
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buf.create(src.size(), apperture_size);
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buf.edgeBuf.setTo(Scalar::all(0));
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if (apperture_size == 3)
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{
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calcSobelRowPass_gpu(src, buf.dx_buf, buf.dy_buf, src.rows, src.cols);
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Size wholeSize;
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Point ofs;
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src.locateROI(wholeSize, ofs);
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GpuMat srcWhole(wholeSize, src.type(), src.datastart, src.step);
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calcMagnitude_gpu(buf.dx_buf, buf.dy_buf, buf.dx, buf.dy, buf.edgeBuf, src.rows, src.cols, L2gradient);
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calcMagnitude(srcWhole, ofs.x, ofs.y, buf.dx, buf.dy, buf.mag, L2gradient);
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}
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else
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{
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buf.filterDX->apply(src, buf.dx, Rect(0, 0, src.cols, src.rows));
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buf.filterDY->apply(src, buf.dy, Rect(0, 0, src.cols, src.rows));
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calcMagnitude_gpu(buf.dx, buf.dy, buf.edgeBuf, src.rows, src.cols, L2gradient);
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calcMagnitude(buf.dx, buf.dy, buf.mag, L2gradient);
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}
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CannyCaller(buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh));
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CannyCaller(buf.dx, buf.dy, buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh));
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}
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void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient)
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{
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CannyBuf buf(dx, dy);
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CannyBuf buf;
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Canny(dx, dy, buf, dst, low_thresh, high_thresh, L2gradient);
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}
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void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient)
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{
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using namespace ::cv::gpu::device::canny;
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using namespace canny;
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CV_Assert(TargetArchs::builtWith(SHARED_ATOMICS) && DeviceInfo().supports(SHARED_ATOMICS));
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CV_Assert(dx.type() == CV_32SC1 && dy.type() == CV_32SC1 && dx.size() == dy.size());
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@@ -1601,17 +1584,11 @@ void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& d
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std::swap( low_thresh, high_thresh);
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dst.create(dx.size(), CV_8U);
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dst.setTo(Scalar::all(0));
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buf.dx = dx; buf.dy = dy;
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buf.create(dx.size(), -1);
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buf.edgeBuf.setTo(Scalar::all(0));
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calcMagnitude_gpu(dx, dy, buf.edgeBuf, dx.rows, dx.cols, L2gradient);
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calcMagnitude(dx, dy, buf.mag, L2gradient);
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CannyCaller(buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh));
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CannyCaller(dx, dy, buf, dst, static_cast<float>(low_thresh), static_cast<float>(high_thresh));
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}
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#endif /* !defined (HAVE_CUDA) */
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