/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" using namespace cv; using namespace cv::gpu; #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) void cv::gpu::Canny(const GpuMat&, GpuMat&, double, double, int, bool) { throw_no_cuda(); } void cv::gpu::Canny(const GpuMat&, CannyBuf&, GpuMat&, double, double, int, bool) { throw_no_cuda(); } void cv::gpu::Canny(const GpuMat&, const GpuMat&, GpuMat&, double, double, bool) { throw_no_cuda(); } void cv::gpu::Canny(const GpuMat&, const GpuMat&, CannyBuf&, GpuMat&, double, double, bool) { throw_no_cuda(); } void cv::gpu::CannyBuf::create(const Size&, int) { throw_no_cuda(); } void cv::gpu::CannyBuf::release() { throw_no_cuda(); } #else /* !defined (HAVE_CUDA) */ void cv::gpu::CannyBuf::create(const Size& image_size, int apperture_size) { if (apperture_size > 0) { ensureSizeIsEnough(image_size, CV_32SC1, dx); ensureSizeIsEnough(image_size, CV_32SC1, dy); if (apperture_size != 3) { filterDX = createDerivFilter(CV_8UC1, CV_32S, 1, 0, apperture_size, false, 1, BORDER_REPLICATE); filterDY = createDerivFilter(CV_8UC1, CV_32S, 0, 1, apperture_size, false, 1, BORDER_REPLICATE); } } ensureSizeIsEnough(image_size, CV_32FC1, mag); ensureSizeIsEnough(image_size, CV_32SC1, map); ensureSizeIsEnough(1, image_size.area(), CV_16UC2, st1); ensureSizeIsEnough(1, image_size.area(), CV_16UC2, st2); } void cv::gpu::CannyBuf::release() { dx.release(); dy.release(); mag.release(); map.release(); st1.release(); st2.release(); } namespace canny { void calcMagnitude(PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, bool L2Grad); void calcMagnitude(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, bool L2Grad); void calcMap(PtrStepSzi dx, PtrStepSzi dy, PtrStepSzf mag, PtrStepSzi map, float low_thresh, float high_thresh); void edgesHysteresisLocal(PtrStepSzi map, ushort2* st1); void edgesHysteresisGlobal(PtrStepSzi map, ushort2* st1, ushort2* st2); void getEdges(PtrStepSzi map, PtrStepSzb dst); } namespace { void CannyCaller(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, float low_thresh, float high_thresh) { using namespace canny; buf.map.setTo(Scalar::all(0)); calcMap(dx, dy, buf.mag, buf.map, low_thresh, high_thresh); edgesHysteresisLocal(buf.map, buf.st1.ptr()); edgesHysteresisGlobal(buf.map, buf.st1.ptr(), buf.st2.ptr()); getEdges(buf.map, dst); } } void cv::gpu::Canny(const GpuMat& src, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient) { CannyBuf buf; Canny(src, buf, dst, low_thresh, high_thresh, apperture_size, L2gradient); } void cv::gpu::Canny(const GpuMat& src, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, int apperture_size, bool L2gradient) { using namespace canny; CV_Assert(src.type() == CV_8UC1); if (!deviceSupports(SHARED_ATOMICS)) CV_Error(cv::Error::StsNotImplemented, "The device doesn't support shared atomics"); if( low_thresh > high_thresh ) std::swap( low_thresh, high_thresh); dst.create(src.size(), CV_8U); buf.create(src.size(), apperture_size); if (apperture_size == 3) { Size wholeSize; Point ofs; src.locateROI(wholeSize, ofs); GpuMat srcWhole(wholeSize, src.type(), src.datastart, src.step); calcMagnitude(srcWhole, ofs.x, ofs.y, buf.dx, buf.dy, buf.mag, L2gradient); } else { buf.filterDX->apply(src, buf.dx); buf.filterDY->apply(src, buf.dy); calcMagnitude(buf.dx, buf.dy, buf.mag, L2gradient); } CannyCaller(buf.dx, buf.dy, buf, dst, static_cast(low_thresh), static_cast(high_thresh)); } void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient) { CannyBuf buf; Canny(dx, dy, buf, dst, low_thresh, high_thresh, L2gradient); } void cv::gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& dst, double low_thresh, double high_thresh, bool L2gradient) { using namespace canny; CV_Assert(TargetArchs::builtWith(SHARED_ATOMICS) && DeviceInfo().supports(SHARED_ATOMICS)); CV_Assert(dx.type() == CV_32SC1 && dy.type() == CV_32SC1 && dx.size() == dy.size()); if( low_thresh > high_thresh ) std::swap( low_thresh, high_thresh); dst.create(dx.size(), CV_8U); buf.create(dx.size(), -1); calcMagnitude(dx, dy, buf.mag, L2gradient); CannyCaller(dx, dy, buf, dst, static_cast(low_thresh), static_cast(high_thresh)); } #endif /* !defined (HAVE_CUDA) */