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first naive version

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This commit is contained in:
Vladislav Vinogradov
2012-08-13 17:44:23 +04:00
parent 941897aa3d
commit 3703722a72
3 changed files with 267 additions and 0 deletions
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6
modules/gpu/include/opencv2/gpu/gpu.hpp
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@@ -820,6 +820,12 @@ private:
int nLayers_;
};
CV_EXPORTS void HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
CV_EXPORTS void HoughLines(const GpuMat& src, GpuMat& lines, GpuMat& accum, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
CV_EXPORTS void HoughLinesTransform(const GpuMat& src, GpuMat& accum, float rho, float theta);
CV_EXPORTS void HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
CV_EXPORTS void HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines, OutputArray h_voices = noArray());
////////////////////////////// Matrix reductions //////////////////////////////
//! computes mean value and standard deviation of all or selected array elements

156
modules/gpu/src/cuda/hough.cu Normal file
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@@ -0,0 +1,156 @@
/*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;
}
}
}}}

105
modules/gpu/src/hough.cpp Normal file
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@@ -0,0 +1,105 @@
/*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);
}
}