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resize area with block scan

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This commit is contained in:
Marina Kolpakova 2012-06-18 09:00:32 +00:00
parent 9a9f212db0
commit 81c6adb959
2 changed files with 156 additions and 30 deletions
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164
modules/gpu/src/cuda/resize.cu
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@ -485,35 +485,134 @@ namespace cv { namespace gpu { namespace device
}
}
template <typename T>
__global__ void resize_area_scan_x(const DevMem2D_<T> src, DevMem2D_<T> dst, int fx, int fy, DevMem2D_<typename scan_traits<T>::scan_line_type> buffer)
enum ScanKind { exclusive, inclusive } ;
template <ScanKind Kind , class T>
__device__ __forceinline__ T scan_warp ( volatile T *ptr , const unsigned int idx = threadIdx.x )
{
typedef typename scan_traits<T>::scan_line_type W;
extern __shared__ W line[];
scan_x(src,fx,fy, buffer,line, 0);
const unsigned int lane = idx & 31;
if ( lane >= 1) ptr [idx ] = ptr [idx - 1] + ptr [idx];
if ( lane >= 2) ptr [idx ] = ptr [idx - 2] + ptr [idx];
if ( lane >= 4) ptr [idx ] = ptr [idx - 4] + ptr [idx];
if ( lane >= 8) ptr [idx ] = ptr [idx - 8] + ptr [idx];
if ( lane >= 16) ptr [idx ] = ptr [idx - 16] + ptr [idx];
if( Kind == inclusive )
return ptr [idx ];
else
return (lane > 0) ? ptr [idx - 1] : 0;
}
template <typename T>
__global__ void resize_area_scan_y(const DevMem2D_<T> src, DevMem2D_<T> dst, int fx, int fy, DevMem2D_<typename scan_traits<T>::scan_line_type> buffer)
template <ScanKind Kind , class T>
__device__ __forceinline__ T scan_block( volatile T *ptr)
{
typedef typename scan_traits<T>::scan_line_type W;
extern __shared__ W line[];
scan_y(buffer,fx, fy, dst, line, 0);
const unsigned int idx = threadIdx.x;
const unsigned int lane = idx & 31;
const unsigned int warp = idx >> 5;
T val = scan_warp <Kind>( ptr , idx );
__syncthreads ();
if( lane == 31 )
ptr [ warp ] = ptr [idx ];
__syncthreads ();
if( warp == 0 )
scan_warp<inclusive>( ptr , idx );
__syncthreads ();
if ( warp > 0)
val = ptr [warp -1] + val;
__syncthreads ();
ptr[idx] = val;
__syncthreads ();
return val ;
}
template <typename T> struct InterAreaDispatcherStream
template<typename T, typename W>
__global__ void resise_scan_fast_x(const DevMem2D_<T> src, DevMem2D_<W> dst, int fx, int fy, int thred_lines)
{
static void call(const DevMem2D_<T> src, int fx, int fy, DevMem2D_<T> dst, DevMem2D_<typename scan_traits<T>::scan_line_type> buffer, cudaStream_t stream)
extern __shared__ W sbuf[];
const unsigned int tid = threadIdx. x;
// load line-block on shared memory
int y = blockIdx.x / thred_lines;
int input_stride = (blockIdx.x - y * thred_lines) * blockDim.x;
int x = input_stride + tid;
// store global data in shared memory
sbuf[tid] = src(y, x);
__syncthreads();
scan_block<inclusive, W>(sbuf);
float scale = __fdividef(1.f, fx);
int out_stride = input_stride / fx;
int count = blockDim.x / fx;
if (tid < count)
{
resize_area_scan_x<T><<<src.rows, (src.cols >> 1), src.cols * sizeof(typename scan_traits<T>::scan_line_type) >>>(src, dst, fx, fy, buffer);
int start_idx = (tid == 0)? 0 : tid * fx - 1;
int end_idx = tid * fx + fx - 1;
resize_area_scan_y<T><<<dst.cols, (src.rows >> 1), src.rows * sizeof(typename scan_traits<T>::scan_line_type) >>>(src, dst, fx, fy, buffer);
cudaSafeCall( cudaGetLastError() );
W start = (tid == 0)? (W)0:sbuf[start_idx];
W end = sbuf[end_idx];
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
if (blockIdx.x == 0)
printf("%d~~~~~~~~ start_idx %d, end_idx %d, start %f, end %f\n",
tid, start_idx, end_idx, start, end);
dst(y, out_stride + tid) = (end - start);
}
};
}
template<typename T, typename W>
__global__ void resise_scan_fast_y(const DevMem2D_<W> src, DevMem2D_<T> dst, int fx, int fy, int thred_lines)
{
extern __shared__ W sbuf[];
const unsigned int tid = threadIdx. x;
// load line-block on shared memory
int x = blockIdx.x / thred_lines;
int global_stride = (blockIdx.x % thred_lines) * blockDim.x;
if (!tid) printf("STRIDE : %d", global_stride);
int y = global_stride + tid;
// store global data in shared memory
sbuf[tid] = src(y, x);
__syncthreads();
scan_block<inclusive, W>(sbuf);
float scale = __fdividef(1.f, fx * fy);
int out_stride = global_stride / fx;
int count = blockDim.x / fx;
if (tid < count)
{
int start_idx = (tid == 0)? 0 : tid * fx - 1;
int end_idx = tid * fx + fx - 1;
W start = (tid == 0)? (W)0:sbuf[start_idx];
W end = sbuf[end_idx];
if (blockIdx.x == 0)
printf("!!!!!!!!%d~~~~~~~~ start_idx %d, end_idx %d, start %f, end %f\n",
tid, start_idx, end_idx, start, end);
dst(out_stride + tid, x) = saturate_cast<T>((end - start) * scale);
}
}
template <typename T>
void resize_area_gpu(const DevMem2Db src, DevMem2Db dst,float fx, float fy,
@ -521,10 +620,37 @@ namespace cv { namespace gpu { namespace device
{
(void)interpolation;
//TODO: add assert to picture size
int iscale_x = round(fx);
int iscale_y = round(fy);
InterAreaDispatcherStream<T>::call(src, iscale_x, iscale_y, dst, buffer, stream);
const int warps = 4;
const int threads = 32 * warps;
int thred_lines = divUp(src.cols, threads);
int blocks = src.rows * thred_lines;
printf("device code executed for X coordinate with:\nsize %d warps %d, threads %d, thred_lines %d, blocks %d\n",
src.cols, warps, threads, thred_lines, blocks);
typedef typename scan_traits<T>::scan_line_type smem_type;
resise_scan_fast_x<T, smem_type><<<blocks, threads, warps * 32 * sizeof(smem_type)>>>
(src, buffer, iscale_x, iscale_y, thred_lines);
thred_lines = divUp(src.rows, threads);
blocks = dst.cols * thred_lines;
printf("device code executed for Y coordinate with:\nwarps %d, threads %d, thred_lines %d, blocks %d\n",
warps, threads, thred_lines, blocks);
resise_scan_fast_y<T, smem_type><<<blocks, threads, warps * 32 * sizeof(smem_type)>>>
(buffer, dst, iscale_x, iscale_y, thred_lines);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
template void resize_area_gpu<uchar>(DevMem2Db src, DevMem2Db dst, float fx, float fy, int interpolation, DevMem2Df buffer, cudaStream_t stream);

22
modules/gpu/test/test_resize.cpp
View File

@ -195,19 +195,19 @@ TEST_P(ResizeArea, Accuracy)
cv::resize(src, dst_cpu, cv::Size(), coeff, coeff, interpolation);
// cv::Mat gpu_buff;
// buffer.download(gpu_buff);
cv::Mat gpu_buff;
buffer.download(gpu_buff);
// cv::Mat gpu;
// dst.download(gpu);
cv::Mat gpu;
dst.download(gpu);
// std::cout << src
// << std::endl << std::endl
// << gpu_buff
// << std::endl << std::endl
// << gpu
// << std::endl << std::endl
// << dst_cpu<< std::endl;
// std::cout << src
// << std::endl << std::endl
// << gpu_buff
// << std::endl << std::endl
// << gpu
// << std::endl << std::endl
// << dst_cpu<< std::endl;
EXPECT_MAT_NEAR(dst_cpu, dst, src.depth() == CV_32F ? 1e-2 : 1.0);