int nLayers_;\r
};\r
\r
+CV_EXPORTS void HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);\r
+CV_EXPORTS void HoughLines(const GpuMat& src, GpuMat& lines, GpuMat& accum, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);\r
+CV_EXPORTS void HoughLinesTransform(const GpuMat& src, GpuMat& accum, float rho, float theta);\r
+CV_EXPORTS void HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);\r
+CV_EXPORTS void HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines, OutputArray h_voices = noArray());\r
+\r
////////////////////////////// Matrix reductions //////////////////////////////\r
\r
//! computes mean value and standard deviation of all or selected array elements\r
--- /dev/null
+/*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 bpied warranties, including, but not limited to, the bpied
+// 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 <thrust/sort.h>
+#include "opencv2/gpu/device/common.hpp"
+
+namespace cv { namespace gpu { namespace device
+{
+ namespace hough
+ {
+ __global__ void linesAccum(const DevMem2Db src, PtrStep_<uint> accum, const float theta, const int numangle, const int numrho, const float irho)
+ {
+ const int x = blockIdx.x * blockDim.x + threadIdx.x;
+ const int y = blockIdx.y * blockDim.y + threadIdx.y;
+
+ if (x >= src.cols || y >= src.rows)
+ return;
+
+ if (src(y, x))
+ {
+ float ang = 0.0f;
+ for(int n = 0; n < numangle; ++n, ang += theta)
+ {
+ float sin_ang;
+ float cos_ang;
+ sincosf(ang, &sin_ang, &cos_ang);
+
+ const float tabSin = sin_ang * irho;
+ const float tabCos = cos_ang * irho;
+
+ int r = __float2int_rn(x * tabCos + y * tabSin);
+ r += (numrho - 1) / 2;
+
+ atomicInc(accum.ptr(n + 1) + r + 1, (unsigned int)-1);
+ }
+ }
+ }
+
+ void linesAccum_gpu(DevMem2Db src, PtrStep_<uint> accum, float theta, int numangle, int numrho, float irho)
+ {
+ const dim3 block(32, 8);
+ const dim3 grid(divUp(src.cols, block.x), divUp(src.rows, block.y));
+
+ linesAccum<<<grid, block>>>(src, accum, theta, numangle, numrho, irho);
+ cudaSafeCall( cudaGetLastError() );
+
+ cudaSafeCall( cudaDeviceSynchronize() );
+ }
+
+ __device__ unsigned int g_counter;
+
+ __global__ void linesGetResult(const DevMem2D_<uint> accum, float2* out, int* voices, const int maxSize, const float threshold, const float theta, const float rho, const int numrho)
+ {
+ __shared__ uint smem[8][32];
+
+ int r = blockIdx.x * (blockDim.x - 2) + threadIdx.x;
+ int n = blockIdx.y * (blockDim.y - 2) + threadIdx.y;
+
+ if (r >= accum.cols || n >= accum.rows)
+ return;
+
+ smem[threadIdx.y][threadIdx.x] = accum(n, r);
+ __syncthreads();
+
+ r -= 1;
+ n -= 1;
+
+ if (threadIdx.x == 0 || threadIdx.x == blockDim.x - 1 || threadIdx.y == 0 || threadIdx.y == blockDim.y - 1 || r >= accum.cols - 2 || n >= accum.rows - 2)
+ return;
+
+ if (smem[threadIdx.y][threadIdx.x] > threshold &&
+ smem[threadIdx.y][threadIdx.x] > smem[threadIdx.y - 1][threadIdx.x] &&
+ smem[threadIdx.y][threadIdx.x] >= smem[threadIdx.y + 1][threadIdx.x] &&
+ smem[threadIdx.y][threadIdx.x] > smem[threadIdx.y][threadIdx.x - 1] &&
+ smem[threadIdx.y][threadIdx.x] >= smem[threadIdx.y][threadIdx.x + 1])
+ {
+ float radius = (r - (numrho - 1) * 0.5f) * rho;
+ float angle = n * theta;
+
+ const unsigned int ind = atomicInc(&g_counter, (unsigned int)(-1));
+ if (ind < maxSize)
+ {
+ out[ind] = make_float2(radius, angle);
+ voices[ind] = smem[threadIdx.y][threadIdx.x];
+ }
+ }
+ }
+
+ int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, int maxSize, float threshold, float theta, float rho, bool doSort)
+ {
+ void* counter_ptr;
+ cudaSafeCall( cudaGetSymbolAddress(&counter_ptr, g_counter) );
+
+ cudaSafeCall( cudaMemset(counter_ptr, 0, sizeof(unsigned int)) );
+
+ const dim3 block(32, 8);
+ const dim3 grid(divUp(accum.cols, block.x - 2), divUp(accum.rows, block.y - 2));
+
+ linesGetResult<<<grid, block>>>(accum, out, voices, maxSize, threshold, theta, rho, accum.cols - 2);
+ cudaSafeCall( cudaGetLastError() );
+
+ cudaSafeCall( cudaDeviceSynchronize() );
+
+ uint total_count;
+ cudaSafeCall( cudaMemcpy(&total_count, counter_ptr, sizeof(uint), cudaMemcpyDeviceToHost) );
+
+ if (doSort)
+ {
+ thrust::device_ptr<float2> out_ptr(out);
+ thrust::device_ptr<int> voices_ptr(voices);
+ thrust::sort_by_key(voices_ptr, voices_ptr + total_count, out_ptr, thrust::greater<int>());
+ }
+
+ return total_count;
+ }
+ }
+}}}
--- /dev/null
+/*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"
+
+namespace cv { namespace gpu { namespace device
+{
+ namespace hough
+ {
+ void linesAccum_gpu(DevMem2Db src, PtrStep_<uint> accum, float theta, int numangle, int numrho, float irho);
+ int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, int maxSize, float threshold, float theta, float rho, bool doSort);
+ }
+}}}
+
+void cv::gpu::HoughLinesTransform(const GpuMat& src, GpuMat& accum, float rho, float theta)
+{
+ using namespace cv::gpu::device;
+
+ CV_Assert(src.type() == CV_8UC1);
+
+ const int numangle = cvRound(CV_PI / theta);
+ const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
+ const float irho = 1.0f / rho;
+
+ accum.create(numangle + 2, numrho + 2, CV_32SC1);
+ accum.setTo(cv::Scalar::all(0));
+
+ hough::linesAccum_gpu(src, accum, theta, numangle, numrho, irho);
+}
+
+void cv::gpu::HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
+{
+ using namespace cv::gpu::device;
+
+ CV_Assert(accum.type() == CV_32SC1);
+
+ lines.create(2, maxLines, CV_32FC2);
+ lines.cols = hough::linesGetResult_gpu(accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, threshold, theta, rho, doSort);
+}
+
+void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
+{
+ cv::gpu::GpuMat accum;
+ HoughLines(src, lines, accum, rho, theta, threshold, doSort, maxLines);
+}
+
+void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, GpuMat& accum, float rho, float theta, int threshold, bool doSort, int maxLines)
+{
+ HoughLinesTransform(src, accum, rho, theta);
+ HoughLinesGet(accum, lines, rho, theta, threshold, doSort, maxLines);
+}
+
+void cv::gpu::HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines_, OutputArray h_voices_)
+{
+ h_lines_.create(1, d_lines.cols, CV_32FC2);
+ cv::Mat h_lines = h_lines_.getMat();
+ d_lines.row(0).download(h_lines);
+
+ if (h_voices_.needed())
+ {
+ h_voices_.create(1, d_lines.cols, CV_32SC1);
+ cv::Mat h_voices = h_voices_.getMat();
+ cv::gpu::GpuMat d_voices(1, d_lines.cols, CV_32SC1, const_cast<int*>(d_lines.ptr<int>(1)));
+ d_voices.download(h_voices);
+ }
+}
projects / profile / ivi / opencv.git / commitdiff