187 lines
6.8 KiB
C++
187 lines
6.8 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::gpu;
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#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
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void cv::gpu::Canny(const GpuMat&, GpuMat&, double, double, int, bool) { throw_no_cuda(); }
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void cv::gpu::Canny(const GpuMat&, CannyBuf&, GpuMat&, double, double, int, bool) { throw_no_cuda(); }
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void cv::gpu::Canny(const GpuMat&, const GpuMat&, GpuMat&, double, double, bool) { throw_no_cuda(); }
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void cv::gpu::Canny(const GpuMat&, const GpuMat&, CannyBuf&, GpuMat&, double, double, bool) { throw_no_cuda(); }
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void cv::gpu::CannyBuf::create(const Size&, int) { throw_no_cuda(); }
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void cv::gpu::CannyBuf::release() { throw_no_cuda(); }
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#else /* !defined (HAVE_CUDA) */
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void cv::gpu::CannyBuf::create(const Size& image_size, int apperture_size)
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{
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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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filterDX = createDerivFilter(CV_8UC1, CV_32S, 1, 0, apperture_size, false, 1, BORDER_REPLICATE);
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filterDY = createDerivFilter(CV_8UC1, CV_32S, 0, 1, apperture_size, false, 1, BORDER_REPLICATE);
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}
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}
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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.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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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 canny
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{
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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 calcMap(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, PtrStepSzi map, float low_thresh, float high_thresh);
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void edgesHysteresisLocal(PtrStepSzi map, ushort2* st1);
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void edgesHysteresisGlobal(PtrStepSzi map, ushort2* st1, ushort2* st2);
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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(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 canny;
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buf.map.setTo(Scalar::all(0));
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calcMap(dx, dy, buf.mag, buf.map, low_thresh, high_thresh);
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edgesHysteresisLocal(buf.map, buf.st1.ptr<ushort2>());
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edgesHysteresisGlobal(buf.map, buf.st1.ptr<ushort2>(), buf.st2.ptr<ushort2>());
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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;
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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 canny;
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CV_Assert(src.type() == CV_8UC1);
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if (!deviceSupports(SHARED_ATOMICS))
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CV_Error(cv::Error::StsNotImplemented, "The device doesn't support shared atomics");
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if( low_thresh > high_thresh )
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std::swap( low_thresh, high_thresh);
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dst.create(src.size(), CV_8U);
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buf.create(src.size(), apperture_size);
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if (apperture_size == 3)
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{
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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(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);
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buf.filterDY->apply(src, buf.dy);
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calcMagnitude(buf.dx, buf.dy, buf.mag, L2gradient);
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}
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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;
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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 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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if( low_thresh > high_thresh )
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std::swap( low_thresh, high_thresh);
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dst.create(dx.size(), CV_8U);
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buf.create(dx.size(), -1);
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calcMagnitude(dx, dy, buf.mag, L2gradient);
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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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