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first naive version
This commit is contained in:
Vladislav Vinogradov
parent
941897aa3d
commit
3703722a72
@ -820,6 +820,12 @@ private:
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int nLayers_;
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};
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CV_EXPORTS void HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
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CV_EXPORTS void HoughLines(const GpuMat& src, GpuMat& lines, GpuMat& accum, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
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CV_EXPORTS void HoughLinesTransform(const GpuMat& src, GpuMat& accum, float rho, float theta);
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CV_EXPORTS void HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
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CV_EXPORTS void HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines, OutputArray h_voices = noArray());
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////////////////////////////// Matrix reductions //////////////////////////////
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//! computes mean value and standard deviation of all or selected array elements
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156
modules/gpu/src/cuda/hough.cu
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156
modules/gpu/src/cuda/hough.cu
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@ -0,0 +1,156 @@
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/*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 bpied warranties, including, but not limited to, the bpied
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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 <thrust/sort.h>
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#include "opencv2/gpu/device/common.hpp"
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namespace cv { namespace gpu { namespace device
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{
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namespace hough
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{
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__global__ void linesAccum(const DevMem2Db src, PtrStep_<uint> accum, const float theta, const int numangle, const int numrho, const float irho)
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{
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= src.cols || y >= src.rows)
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return;
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if (src(y, x))
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{
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float ang = 0.0f;
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for(int n = 0; n < numangle; ++n, ang += theta)
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{
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float sin_ang;
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float cos_ang;
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sincosf(ang, &sin_ang, &cos_ang);
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const float tabSin = sin_ang * irho;
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const float tabCos = cos_ang * irho;
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int r = __float2int_rn(x * tabCos + y * tabSin);
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r += (numrho - 1) / 2;
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atomicInc(accum.ptr(n + 1) + r + 1, (unsigned int)-1);
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}
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}
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}
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void linesAccum_gpu(DevMem2Db src, PtrStep_<uint> accum, float theta, int numangle, int numrho, float irho)
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{
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const dim3 block(32, 8);
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const dim3 grid(divUp(src.cols, block.x), divUp(src.rows, block.y));
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linesAccum<<<grid, block>>>(src, accum, theta, numangle, numrho, irho);
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cudaSafeCall( cudaGetLastError() );
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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__device__ unsigned int g_counter;
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__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)
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{
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__shared__ uint smem[8][32];
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int r = blockIdx.x * (blockDim.x - 2) + threadIdx.x;
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int n = blockIdx.y * (blockDim.y - 2) + threadIdx.y;
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if (r >= accum.cols || n >= accum.rows)
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return;
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smem[threadIdx.y][threadIdx.x] = accum(n, r);
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__syncthreads();
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r -= 1;
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n -= 1;
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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)
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return;
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if (smem[threadIdx.y][threadIdx.x] > threshold &&
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smem[threadIdx.y][threadIdx.x] > smem[threadIdx.y - 1][threadIdx.x] &&
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smem[threadIdx.y][threadIdx.x] >= smem[threadIdx.y + 1][threadIdx.x] &&
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smem[threadIdx.y][threadIdx.x] > smem[threadIdx.y][threadIdx.x - 1] &&
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smem[threadIdx.y][threadIdx.x] >= smem[threadIdx.y][threadIdx.x + 1])
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{
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float radius = (r - (numrho - 1) * 0.5f) * rho;
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float angle = n * theta;
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const unsigned int ind = atomicInc(&g_counter, (unsigned int)(-1));
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if (ind < maxSize)
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{
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out[ind] = make_float2(radius, angle);
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voices[ind] = smem[threadIdx.y][threadIdx.x];
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}
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}
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}
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int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, int maxSize, float threshold, float theta, float rho, bool doSort)
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{
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void* counter_ptr;
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cudaSafeCall( cudaGetSymbolAddress(&counter_ptr, g_counter) );
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cudaSafeCall( cudaMemset(counter_ptr, 0, sizeof(unsigned int)) );
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const dim3 block(32, 8);
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const dim3 grid(divUp(accum.cols, block.x - 2), divUp(accum.rows, block.y - 2));
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linesGetResult<<<grid, block>>>(accum, out, voices, maxSize, threshold, theta, rho, accum.cols - 2);
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cudaSafeCall( cudaGetLastError() );
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cudaSafeCall( cudaDeviceSynchronize() );
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uint total_count;
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cudaSafeCall( cudaMemcpy(&total_count, counter_ptr, sizeof(uint), cudaMemcpyDeviceToHost) );
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if (doSort)
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{
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thrust::device_ptr<float2> out_ptr(out);
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thrust::device_ptr<int> voices_ptr(voices);
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thrust::sort_by_key(voices_ptr, voices_ptr + total_count, out_ptr, thrust::greater<int>());
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}
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return total_count;
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}
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}
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}}}
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105
modules/gpu/src/hough.cpp
Normal file
105
modules/gpu/src/hough.cpp
Normal file
@ -0,0 +1,105 @@
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/*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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namespace cv { namespace gpu { namespace device
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{
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namespace hough
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{
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void linesAccum_gpu(DevMem2Db src, PtrStep_<uint> accum, float theta, int numangle, int numrho, float irho);
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int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, int maxSize, float threshold, float theta, float rho, bool doSort);
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}
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}}}
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void cv::gpu::HoughLinesTransform(const GpuMat& src, GpuMat& accum, float rho, float theta)
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{
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using namespace cv::gpu::device;
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CV_Assert(src.type() == CV_8UC1);
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const int numangle = cvRound(CV_PI / theta);
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const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
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const float irho = 1.0f / rho;
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accum.create(numangle + 2, numrho + 2, CV_32SC1);
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accum.setTo(cv::Scalar::all(0));
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hough::linesAccum_gpu(src, accum, theta, numangle, numrho, irho);
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}
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void cv::gpu::HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
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{
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using namespace cv::gpu::device;
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CV_Assert(accum.type() == CV_32SC1);
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lines.create(2, maxLines, CV_32FC2);
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lines.cols = hough::linesGetResult_gpu(accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, threshold, theta, rho, doSort);
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}
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void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
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{
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cv::gpu::GpuMat accum;
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HoughLines(src, lines, accum, rho, theta, threshold, doSort, maxLines);
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}
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void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, GpuMat& accum, float rho, float theta, int threshold, bool doSort, int maxLines)
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{
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HoughLinesTransform(src, accum, rho, theta);
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HoughLinesGet(accum, lines, rho, theta, threshold, doSort, maxLines);
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}
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void cv::gpu::HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines_, OutputArray h_voices_)
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{
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h_lines_.create(1, d_lines.cols, CV_32FC2);
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cv::Mat h_lines = h_lines_.getMat();
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d_lines.row(0).download(h_lines);
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if (h_voices_.needed())
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{
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h_voices_.create(1, d_lines.cols, CV_32SC1);
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cv::Mat h_voices = h_voices_.getMat();
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cv::gpu::GpuMat d_voices(1, d_lines.cols, CV_32SC1, const_cast<int*>(d_lines.ptr<int>(1)));
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d_voices.download(h_voices);
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}
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}
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