/*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 std; using namespace cv; using namespace cv::gpu; #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) void cv::gpu::HoughLines(const GpuMat&, GpuMat&, float, float, int, bool, int) { throw_nogpu(); } void cv::gpu::HoughLines(const GpuMat&, GpuMat&, HoughLinesBuf&, float, float, int, bool, int) { throw_nogpu(); } void cv::gpu::HoughLinesDownload(const GpuMat&, OutputArray, OutputArray) { throw_nogpu(); } #else /* !defined (HAVE_CUDA) */ namespace cv { namespace gpu { namespace device { namespace hough { int buildPointList_gpu(PtrStepSzb src, unsigned int* list); } }}} namespace cv { namespace gpu { namespace device { namespace hough { void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20); int linesGetResult_gpu(PtrStepSzi accum, float2* out, int* votes, int maxSize, float rho, float theta, int threshold, bool doSort); } }}} void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines) { HoughLinesBuf buf; HoughLines(src, lines, buf, rho, theta, threshold, doSort, maxLines); } void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, HoughLinesBuf& buf, float rho, float theta, int threshold, bool doSort, int maxLines) { using namespace cv::gpu::device::hough; CV_Assert(src.type() == CV_8UC1); CV_Assert(src.cols < std::numeric_limits<unsigned short>::max()); CV_Assert(src.rows < std::numeric_limits<unsigned short>::max()); ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.list); unsigned int* srcPoints = buf.list.ptr<unsigned int>(); const int pointsCount = buildPointList_gpu(src, srcPoints); if (pointsCount == 0) { lines.release(); return; } const int numangle = cvRound(CV_PI / theta); const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho); CV_Assert(numangle > 0 && numrho > 0); ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, buf.accum); buf.accum.setTo(Scalar::all(0)); DeviceInfo devInfo; linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20)); ensureSizeIsEnough(2, maxLines, CV_32FC2, lines); int linesCount = linesGetResult_gpu(buf.accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, rho, theta, threshold, doSort); if (linesCount > 0) lines.cols = linesCount; else lines.release(); } void cv::gpu::HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines_, OutputArray h_votes_) { if (d_lines.empty()) { h_lines_.release(); if (h_votes_.needed()) h_votes_.release(); return; } CV_Assert(d_lines.rows == 2 && d_lines.type() == CV_32FC2); h_lines_.create(1, d_lines.cols, CV_32FC2); Mat h_lines = h_lines_.getMat(); d_lines.row(0).download(h_lines); if (h_votes_.needed()) { h_votes_.create(1, d_lines.cols, CV_32SC1); Mat h_votes = h_votes_.getMat(); GpuMat d_votes(1, d_lines.cols, CV_32SC1, const_cast<int*>(d_lines.ptr<int>(1))); d_votes.download(h_votes); } } #endif /* !defined (HAVE_CUDA) */