opencv/modules/gpu/src/cuda/hough.cu

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2012-08-13 21:44:23 +08:00
/*M///////////////////////////////////////////////////////////////////////////////////////
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// For Open Source Computer Vision Library
//
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#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;
}
}
}}}