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

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/*M///////////////////////////////////////////////////////////////////////////////////////
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// For Open Source Computer Vision Library
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#include "cuda_shared.hpp"
#define ROWSperTHREAD 21 // the number of rows a thread will process
#define BLOCK_W 128 // the thread block width (464)
#define N_DISPARITIES 8
#define STEREO_MIND 0 // The minimum d range to check
#define STEREO_DISP_STEP N_DISPARITIES // the d step, must be <= 1 to avoid aliasing
#define RADIUS 9 // Kernel Radius 5V & 5H = 11x11 kernel
#define WINSZ (2 * RADIUS + 1)
#define N_DIRTY_PIXELS (2 * RADIUS)
#define COL_SSD_SIZE (BLOCK_W + N_DIRTY_PIXELS)
#define SHARED_MEM_SIZE (COL_SSD_SIZE) // amount of shared memory used
namespace stereobm_gpu
{
__constant__ unsigned int* cminSSDImage;
__constant__ size_t cminSSD_step;
__constant__ int cwidth;
__constant__ int cheight;
__device__ int SQ(int a)
{
return a * a;
}
__device__ unsigned int CalcSSD(unsigned int *col_ssd_cache, unsigned int *col_ssd)
{
unsigned int cache = 0;
unsigned int cache2 = 0;
for(int i = 1; i <= RADIUS; i++)
cache += col_ssd[i];
col_ssd_cache[0] = cache;
__syncthreads();
if (threadIdx.x < BLOCK_W - RADIUS)
cache2 = col_ssd_cache[RADIUS];
else
for(int i = RADIUS + 1; i < WINSZ; i++)
cache2 += col_ssd[i];
return col_ssd[0] + cache + cache2;
}
__device__ uint2 MinSSD(unsigned int *col_ssd_cache, unsigned int *col_ssd)
{
unsigned int ssd[N_DISPARITIES];
ssd[0] = CalcSSD(col_ssd_cache, col_ssd + 0 * SHARED_MEM_SIZE);
ssd[1] = CalcSSD(col_ssd_cache, col_ssd + 1 * SHARED_MEM_SIZE);
ssd[2] = CalcSSD(col_ssd_cache, col_ssd + 2 * SHARED_MEM_SIZE);
ssd[3] = CalcSSD(col_ssd_cache, col_ssd + 3 * SHARED_MEM_SIZE);
ssd[4] = CalcSSD(col_ssd_cache, col_ssd + 4 * SHARED_MEM_SIZE);
ssd[5] = CalcSSD(col_ssd_cache, col_ssd + 5 * SHARED_MEM_SIZE);
ssd[6] = CalcSSD(col_ssd_cache, col_ssd + 6 * SHARED_MEM_SIZE);
ssd[7] = CalcSSD(col_ssd_cache, col_ssd + 7 * SHARED_MEM_SIZE);
int mssd = min(min(min(ssd[0], ssd[1]), min(ssd[4], ssd[5])), min(min(ssd[2], ssd[3]), min(ssd[6], ssd[7])));
int bestIdx = 0;
for (int i = 0; i < N_DISPARITIES; i++)
{
if (mssd == ssd[i])
bestIdx = i;
}
return make_uint2(mssd, bestIdx);
}
__device__ void StepDown(int idx1, int idx2, unsigned char* imageL, unsigned char* imageR, int d, unsigned int *col_ssd)
{
unsigned char leftPixel1;
unsigned char leftPixel2;
unsigned char rightPixel1[8];
unsigned char rightPixel2[8];
unsigned int diff1, diff2;
leftPixel1 = imageL[idx1];
leftPixel2 = imageL[idx2];
idx1 = idx1 - d;
idx2 = idx2 - d;
rightPixel1[7] = imageR[idx1 - 7];
rightPixel1[0] = imageR[idx1 - 0];
rightPixel1[1] = imageR[idx1 - 1];
rightPixel1[2] = imageR[idx1 - 2];
rightPixel1[3] = imageR[idx1 - 3];
rightPixel1[4] = imageR[idx1 - 4];
rightPixel1[5] = imageR[idx1 - 5];
rightPixel1[6] = imageR[idx1 - 6];
rightPixel2[7] = imageR[idx2 - 7];
rightPixel2[0] = imageR[idx2 - 0];
rightPixel2[1] = imageR[idx2 - 1];
rightPixel2[2] = imageR[idx2 - 2];
rightPixel2[3] = imageR[idx2 - 3];
rightPixel2[4] = imageR[idx2 - 4];
rightPixel2[5] = imageR[idx2 - 5];
rightPixel2[6] = imageR[idx2 - 6];
diff1 = leftPixel1 - rightPixel1[0];
diff2 = leftPixel2 - rightPixel2[0];
col_ssd[0 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[1];
diff2 = leftPixel2 - rightPixel2[1];
col_ssd[1 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[2];
diff2 = leftPixel2 - rightPixel2[2];
col_ssd[2 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[3];
diff2 = leftPixel2 - rightPixel2[3];
col_ssd[3 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[4];
diff2 = leftPixel2 - rightPixel2[4];
col_ssd[4 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[5];
diff2 = leftPixel2 - rightPixel2[5];
col_ssd[5 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[6];
diff2 = leftPixel2 - rightPixel2[6];
col_ssd[6 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
diff1 = leftPixel1 - rightPixel1[7];
diff2 = leftPixel2 - rightPixel2[7];
col_ssd[7 * SHARED_MEM_SIZE] += SQ(diff2) - SQ(diff1);
}
__device__ void InitColSSD(int x_tex, int y_tex, int im_pitch, unsigned char* imageL, unsigned char* imageR, int d, unsigned int *col_ssd)
{
unsigned char leftPixel1;
int idx;
unsigned int diffa[] = {0, 0, 0, 0, 0, 0, 0, 0};
for(int i = 0; i < WINSZ; i++)
{
idx = y_tex * im_pitch + x_tex;
leftPixel1 = imageL[idx];
idx = idx - d;
diffa[0] += SQ(leftPixel1 - imageR[idx - 0]);
diffa[1] += SQ(leftPixel1 - imageR[idx - 1]);
diffa[2] += SQ(leftPixel1 - imageR[idx - 2]);
diffa[3] += SQ(leftPixel1 - imageR[idx - 3]);
diffa[4] += SQ(leftPixel1 - imageR[idx - 4]);
diffa[5] += SQ(leftPixel1 - imageR[idx - 5]);
diffa[6] += SQ(leftPixel1 - imageR[idx - 6]);
diffa[7] += SQ(leftPixel1 - imageR[idx - 7]);
y_tex += 1;
}
col_ssd[0 * SHARED_MEM_SIZE] = diffa[0];
col_ssd[1 * SHARED_MEM_SIZE] = diffa[1];
col_ssd[2 * SHARED_MEM_SIZE] = diffa[2];
col_ssd[3 * SHARED_MEM_SIZE] = diffa[3];
col_ssd[4 * SHARED_MEM_SIZE] = diffa[4];
col_ssd[5 * SHARED_MEM_SIZE] = diffa[5];
col_ssd[6 * SHARED_MEM_SIZE] = diffa[6];
col_ssd[7 * SHARED_MEM_SIZE] = diffa[7];
}
extern "C" __global__ void stereoKernel(unsigned char *left, unsigned char *right, size_t img_step, unsigned char* disp, size_t disp_pitch, int maxdisp)
{
extern __shared__ unsigned int col_ssd_cache[];
unsigned int *col_ssd = col_ssd_cache + BLOCK_W + threadIdx.x;
unsigned int *col_ssd_extra = threadIdx.x < N_DIRTY_PIXELS ? col_ssd + BLOCK_W : 0;
//#define X (blockIdx.x * BLOCK_W + threadIdx.x + STEREO_MAXD)
int X = (blockIdx.x * BLOCK_W + threadIdx.x + maxdisp);
//#define Y (__mul24(blockIdx.y, ROWSperTHREAD) + RADIUS)
#define Y (blockIdx.y * ROWSperTHREAD + RADIUS)
//int Y = blockIdx.y * ROWSperTHREAD + RADIUS;
unsigned int* minSSDImage = cminSSDImage + X + Y * cminSSD_step;
unsigned char* disparImage = disp + X + Y * disp_pitch;
/* if (X < cwidth)
{
unsigned int *minSSDImage_end = minSSDImage + min(ROWSperTHREAD, cheight - Y) * minssd_step;
for(uint *ptr = minSSDImage; ptr != minSSDImage_end; ptr += minssd_step )
*ptr = 0xFFFFFFFF;
}*/
int end_row = min(ROWSperTHREAD, cheight - Y);
int y_tex;
int x_tex = X - RADIUS;
for(int d = STEREO_MIND; d < maxdisp; d += STEREO_DISP_STEP)
{
y_tex = Y - RADIUS;
InitColSSD(x_tex, y_tex, img_step, left, right, d, col_ssd);
if (col_ssd_extra > 0)
InitColSSD(x_tex + BLOCK_W, y_tex, img_step, left, right, d, col_ssd_extra);
__syncthreads(); //before MinSSD function
if (X < cwidth - RADIUS && Y < cheight - RADIUS)
{
uint2 minSSD = MinSSD(col_ssd_cache + threadIdx.x, col_ssd);
if (minSSD.x < minSSDImage[0])
{
disparImage[0] = (unsigned char)(d + minSSD.y);
minSSDImage[0] = minSSD.x;
}
}
for(int row = 1; row < end_row; row++)
{
int idx1 = y_tex * img_step + x_tex;
int idx2 = (y_tex + WINSZ) * img_step + x_tex;
__syncthreads();
StepDown(idx1, idx2, left, right, d, col_ssd);
if (col_ssd_extra)
StepDown(idx1, idx2, left + BLOCK_W, right + BLOCK_W, d, col_ssd_extra);
y_tex += 1;
__syncthreads(); //before MinSSD function
if (X < cwidth - RADIUS && row < cheight - RADIUS - Y)
{
int idx = row * cminSSD_step;
uint2 minSSD = MinSSD(col_ssd_cache + threadIdx.x, col_ssd);
if (minSSD.x < minSSDImage[idx])
{
disparImage[disp_pitch * row] = (unsigned char)(d + minSSD.y);
minSSDImage[idx] = minSSD.x;
}
}
} // for row loop
} // for d loop
}
}
namespace cv { namespace gpu { namespace impl
{
extern "C" void stereoBM_GPU(const DevMem2D& left, const DevMem2D& right, const DevMem2D& disp, int maxdisp, int winsz, const DevMem2D_<unsigned int>& minSSD_buf)
{
//cudaSafeCall( cudaFuncSetCacheConfig(&stereoKernel, cudaFuncCachePreferL1) );
//cudaSafeCall( cudaFuncSetCacheConfig(&stereoKernel, cudaFuncCachePreferShared) );
size_t smem_size = (BLOCK_W + N_DISPARITIES * SHARED_MEM_SIZE) * sizeof(unsigned int);
cudaSafeCall( cudaMemset2D(disp.ptr, disp.step, 0, disp.cols, disp. rows) );
cudaSafeCall( cudaMemset2D(minSSD_buf.ptr, minSSD_buf.step, 0xFF, minSSD_buf.cols * minSSD_buf.elemSize(), disp. rows) );
dim3 grid(1,1,1);
dim3 threads(BLOCK_W, 1, 1);
grid.x = divUp(left.cols - maxdisp - 2 * RADIUS, BLOCK_W);
grid.y = divUp(left.rows - 2 * RADIUS, ROWSperTHREAD);
cudaSafeCall( cudaMemcpyToSymbol( stereobm_gpu::cwidth, &left.cols, sizeof(left.cols) ) );
cudaSafeCall( cudaMemcpyToSymbol( stereobm_gpu::cheight, &left.rows, sizeof(left.rows) ) );
cudaSafeCall( cudaMemcpyToSymbol( stereobm_gpu::cminSSDImage, &minSSD_buf.ptr, sizeof(minSSD_buf.ptr) ) );
size_t minssd_step = minSSD_buf.step/minSSD_buf.elemSize();
cudaSafeCall( cudaMemcpyToSymbol( stereobm_gpu::cminSSD_step, &minssd_step, sizeof(minssd_step) ) );
stereobm_gpu::stereoKernel<<<grid, threads, smem_size>>>(left.ptr, right.ptr, left.step, disp.ptr, disp.step, maxdisp);
cudaSafeCall( cudaThreadSynchronize() );
}
}}}
//////////////////////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////////// Sobel Prefiler ///////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////////////////
namespace stereobm_gpu
{
texture<unsigned char, 2, cudaReadModeElementType> tex;
extern "C" __global__ void prefilert_kernel(unsigned char *output, size_t step, int width, int height, int prefilterCap)
{
int x = blockDim.x * blockIdx.x + threadIdx.x;
int y = blockDim.y * blockIdx.y + threadIdx.y;
if (x < width && y < height)
{
int conv = (int)tex2D(tex, x - 1, y - 1) * (-1) + (int)tex2D(tex, x + 1, y - 1) * (1) +
(int)tex2D(tex, x - 1, y ) * (-2) + (int)tex2D(tex, x + 1, y ) * (2) +
(int)tex2D(tex, x - 1, y + 1) * (-1) + (int)tex2D(tex, x + 1, y + 1) * (1);
conv = min(min(max(-prefilterCap, conv), prefilterCap) + prefilterCap, 255);
output[y * step + x] = conv & 0xFF;
}
}
}
namespace cv { namespace gpu { namespace impl
{
extern "C" void prefilter_xsobel(const DevMem2D& input, const DevMem2D& output, int prefilterCap)
{
cudaChannelFormatDesc desc = cudaCreateChannelDesc<uchar>();
cudaSafeCall( cudaBindTexture2D( 0, stereobm_gpu::tex, input.ptr, desc, input.cols, input.rows, input.step ) );
dim3 threads(16, 16, 1);
dim3 grid(1, 1, 1);
grid.x = divUp(input.cols, threads.x);
grid.y = divUp(input.rows, threads.y);
stereobm_gpu::prefilert_kernel<<<grid, threads>>>(output.ptr, output.step, output.cols, output.rows, prefilterCap);
cudaSafeCall( cudaThreadSynchronize() );
}
}}}