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// Copyright (c) 2012-2017 VideoStitch SAS
// Copyright (c) 2018 stitchEm
#include "gpu/image/blur.hpp"
#include "../deviceBuffer.hpp"
#include "../deviceStream.hpp"
#include "cuda/util.hpp"
#include "image/transpose.hpp"
#include "libvideostitch/profile.hpp"
#include <cuda_runtime.h>
#include <cassert>
#define RGBA_BOX_BLUR_1D_BLOCK_SIZE (4 * 32)
#define RGBA_BOX_BLUR_SS_1D_BLOCK_SIZE (4 * 32)
template <typename Type>
struct ScalarPixel {
typedef Type T;
};
#include "image/kernels/blurKernel.cu"
#include "image/kernels/blurKernelSmallSupport.cu"
#include "image/kernels/unrolledGaussianKernels.cu"
namespace VideoStitch {
namespace Image {
namespace {
template <typename T>
void swap(T& a, T& b) {
T tmp = a;
a = b;
b = tmp;
}
} // namespace
template <typename T>
Status boxBlur1DNoWrap(GPU::Buffer<T> dst, GPU::Buffer<const T> src, std::size_t width, std::size_t height,
unsigned radius, unsigned blockSize, GPU::Stream gpuStream) {
cudaStream_t stream = gpuStream.get();
dim3 dimBlock(blockSize, 1, 1);
dim3 dimGrid((unsigned)Cuda::ceilDiv(width, dimBlock.x), 1, 1);
if ((std::size_t)radius >= height) {
blur1DKernelNoWrapHugeRadius<<<dimGrid, dimBlock, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
} else if ((std::size_t)(2 * radius) >= height) {
blur1DKernelNoWrapLargeRadius<<<dimGrid, dimBlock, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
} else if (COLUMNS_BLOCKDIM_Y * COLUMNS_HALO_STEPS >= radius) { // if radius is short enough for blurColumnsKernel
dim3 blocks((unsigned)Cuda::ceilDiv(width, COLUMNS_BLOCKDIM_X),
(unsigned)Cuda::ceilDiv(height, (COLUMNS_RESULT_STEPS * COLUMNS_BLOCKDIM_Y)));
dim3 threads(COLUMNS_BLOCKDIM_X, COLUMNS_BLOCKDIM_Y);
blurColumnsKernelNoWrap<T><<<blocks, threads, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, (unsigned)width, radius);
} else {
blur1DKernelNoWrap<<<dimGrid, dimBlock, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
}
return CUDA_STATUS;
}
template <typename T>
Status boxBlur1DWrap(GPU::Buffer<T> dst, GPU::Buffer<const T> src, std::size_t width, std::size_t height,
unsigned radius, unsigned blockSize, GPU::Stream stream) {
if ((std::size_t)(2 * radius) >= height) {
// the blur takes the whole buffer for all pixels since the stencil is larger than the patchlet,
// so just resize the stencil
radius = (unsigned)(height / 2 - 1);
}
if (COLUMNS_BLOCKDIM_Y * COLUMNS_HALO_STEPS >= radius) { // if radius is short enough for blurColumnsKernel
dim3 blocks((unsigned)Cuda::ceilDiv(width, COLUMNS_BLOCKDIM_X),
(unsigned)Cuda::ceilDiv(height, (COLUMNS_RESULT_STEPS * COLUMNS_BLOCKDIM_Y)));
dim3 threads(COLUMNS_BLOCKDIM_X, COLUMNS_BLOCKDIM_Y);
blurColumnsKernelWrap<<<blocks, threads, 0, stream.get()>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, (unsigned)width, radius);
} else {
dim3 dimBlock(blockSize, 1, 1);
dim3 dimGrid((unsigned)Cuda::ceilDiv(width, dimBlock.x), 1, 1);
blur1DKernelWrap<<<dimGrid, dimBlock, 0, stream.get()>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
}
return CUDA_STATUS;
}
template Status boxBlur1DNoWrap(GPU::Buffer<float> dst, GPU::Buffer<const float> src, std::size_t width,
std::size_t height, unsigned radius, unsigned blockSize, GPU::Stream stream);
template Status boxBlur1DNoWrap(GPU::Buffer<float2> dst, GPU::Buffer<const float2> src, std::size_t width,
std::size_t height, unsigned radius, unsigned blockSize, GPU::Stream stream);
template Status boxBlur1DNoWrap(GPU::Buffer<unsigned char> dst, GPU::Buffer<const unsigned char> src, std::size_t width,
std::size_t height, unsigned radius, unsigned blockSize, GPU::Stream stream);
template Status boxBlur1DWrap(GPU::Buffer<unsigned char> dst, GPU::Buffer<const unsigned char> src, std::size_t width,
std::size_t height, unsigned radius, unsigned blockSize, GPU::Stream stream);
template <typename T>
Status gaussianBlur2D(GPU::Buffer<T> dst, GPU::Buffer<const T> src, GPU::Buffer<T> work, std::size_t width,
std::size_t height, unsigned radius, unsigned passes, bool wrap, GPU::Stream stream) {
assert(passes > 0);
const unsigned blockSize = RGBA_BOX_BLUR_1D_BLOCK_SIZE;
// First pass is from src to work;
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(work, src, width, height, radius, blockSize, stream));
// Other passes ping-pong between work buffers.
GPU::Buffer<T> srcBuf = work;
GPU::Buffer<T> dstBuf = dst;
for (unsigned i = 1; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(dstBuf, srcBuf.as_const(), width, height, radius, blockSize, stream));
swap(dstBuf, srcBuf);
}
// transpose
PROPAGATE_FAILURE_STATUS(transpose(dstBuf.get().raw(), srcBuf.get().raw(), width, height, stream));
swap(dstBuf, srcBuf);
if (wrap) {
for (unsigned i = 0; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlur1DWrap(dstBuf, srcBuf.as_const(), height, width, radius, blockSize, stream));
swap(dstBuf, srcBuf);
}
} else {
for (unsigned i = 0; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(dstBuf, srcBuf.as_const(), height, width, radius, blockSize, stream));
swap(dstBuf, srcBuf);
}
}
PROPAGATE_FAILURE_STATUS(transpose(dstBuf.get().raw(), srcBuf.get().raw(), height, width, stream));
// There are (passes - 1) swaps, then the transpose swap, then passes swaps.
// i.e. 2 * passes swaps. So overall srcBuf ad dstBuff are unchanged from their first state.
assert(dstBuf == dst);
return CUDA_STATUS;
}
template Status gaussianBlur2D(GPU::Buffer<unsigned char> dst, GPU::Buffer<const unsigned char> src,
GPU::Buffer<unsigned char> work, std::size_t width, std::size_t height, unsigned radius,
unsigned passes, bool wrap, GPU::Stream stream);
template Status gaussianBlur2D(GPU::Buffer<float2> dst, GPU::Buffer<const float2> src, GPU::Buffer<float2> work,
std::size_t width, std::size_t height, unsigned radius, unsigned passes, bool wrap,
GPU::Stream stream);
Status boxBlurColumnsWrapRGBA210(GPU::Buffer<uint32_t> dst, GPU::Buffer<const uint32_t> src, std::size_t width,
std::size_t height, unsigned radius, GPU::Stream stream) {
if ((std::size_t)(2 * radius) >= height) {
// the blur takes the whole buffer for all pixels since the stencil is larger than the patchlet,
// so just resize the stencil
radius = (unsigned)(height / 2 - 1);
}
if (COLUMNS_BLOCKDIM_Y * COLUMNS_HALO_STEPS >= radius) { // if radius is short enough for blurColumnsKernel
dim3 blocks((unsigned)Cuda::ceilDiv(width, COLUMNS_BLOCKDIM_X),
(unsigned)Cuda::ceilDiv(height, (COLUMNS_RESULT_STEPS * COLUMNS_BLOCKDIM_Y)));
dim3 threads(COLUMNS_BLOCKDIM_X, COLUMNS_BLOCKDIM_Y);
blurColumnsKernelWrap<uint32_t><<<blocks, threads, 0, stream.get()>>>(
dst.get().raw(), src.get().raw(), (unsigned)width, (unsigned)height, (unsigned)width, radius);
} else {
dim3 dimBlock(RGBA_BOX_BLUR_1D_BLOCK_SIZE, 1, 1);
dim3 dimGrid((unsigned)Cuda::ceilDiv(width, dimBlock.x), 1, 1);
blur1DKernelWrap<<<dimGrid, dimBlock, 0, stream.get()>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
}
return CUDA_STATUS;
}
Status boxBlurColumnsNoWrapRGBA210(GPU::Buffer<uint32_t> dst, GPU::Buffer<const uint32_t> src, std::size_t width,
std::size_t height, unsigned radius, GPU::Stream gpuStream) {
cudaStream_t stream = gpuStream.get();
dim3 dimBlock(RGBA_BOX_BLUR_1D_BLOCK_SIZE, 1, 1);
dim3 dimGrid((unsigned)Cuda::ceilDiv(width, dimBlock.x), 1, 1);
if ((std::size_t)radius >= height) {
blur1DKernelNoWrapHugeRadius<<<dimGrid, dimBlock, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
} else if ((std::size_t)(2 * radius) >= height) {
blur1DKernelNoWrapLargeRadius<<<dimGrid, dimBlock, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
} else if (COLUMNS_BLOCKDIM_Y * COLUMNS_HALO_STEPS >= radius) { // if radius is short enough for blurColumnsKernel
dim3 blocks((unsigned)Cuda::ceilDiv(width, COLUMNS_BLOCKDIM_X),
(unsigned)Cuda::ceilDiv(height, (COLUMNS_RESULT_STEPS * COLUMNS_BLOCKDIM_Y)));
dim3 threads(COLUMNS_BLOCKDIM_X, COLUMNS_BLOCKDIM_Y);
blurColumnsKernelNoWrap<uint32_t><<<blocks, threads, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, (unsigned)width, radius);
} else {
blur1DKernelNoWrap<<<dimGrid, dimBlock, 0, stream>>>(dst.get().raw(), src.get().raw(), (unsigned)width,
(unsigned)height, radius);
}
return CUDA_STATUS;
}
Status boxBlurRowsRGBA210(GPU::Buffer<uint32_t> dst, GPU::Buffer<const uint32_t> src, std::size_t width,
std::size_t height, unsigned radius, GPU::Stream stream, bool wrap) {
dim3 blocks((unsigned)Cuda::ceilDiv(width, (ROWS_RESULT_STEPS * ROWS_BLOCKDIM_X)),
(unsigned)Cuda::ceilDiv(height, ROWS_BLOCKDIM_Y));
dim3 threads(ROWS_BLOCKDIM_X, ROWS_BLOCKDIM_Y);
if ((std::size_t)(2 * radius) >= width) {
// the blur takes the whole buffer for all pixels since the stencil is larger than the patchlet,
// so just resize the stencil
radius = (unsigned)(width / 2 - 1);
}
if (wrap) {
blurRowsKernelWrap<<<blocks, threads, 0, stream.get()>>>(dst.get().raw(), src.get().raw(), width, height, width,
radius);
} else {
blurRowsKernelNoWrap<<<blocks, threads, 0, stream.get()>>>(dst.get().raw(), src.get().raw(), width, height, width,
radius);
}
return CUDA_STATUS;
}
Status gaussianBlur2DRGBA210(GPU::Buffer<uint32_t> dst, GPU::Buffer<const uint32_t> src, GPU::Buffer<uint32_t> work,
std::size_t width, std::size_t height, unsigned radius, unsigned passes, bool wrap,
GPU::Stream stream) {
assert(passes > 0);
// First pass is from src to work;
PROPAGATE_FAILURE_STATUS(boxBlurColumnsNoWrapRGBA210(work, src, width, height, radius, stream));
// Other passes ping-pong between work buffers.
GPU::Buffer<uint32_t> srcBuf = work;
GPU::Buffer<uint32_t> dstBuf = dst;
for (unsigned i = 1; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlurColumnsNoWrapRGBA210(dstBuf, srcBuf.as_const(), width, height, radius, stream));
swap(dstBuf, srcBuf);
}
if ((ROWS_BLOCKDIM_X * ROWS_HALO_STEPS >= radius) &&
((std::size_t)2 * radius < height)) { // boxBlurRowsRGBA210 works only in this case
for (unsigned i = 0; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlurRowsRGBA210(dstBuf, srcBuf.as_const(), width, height, radius, stream, wrap));
swap(dstBuf, srcBuf);
}
swap(dstBuf, srcBuf);
assert(dstBuf == dst);
} else {
// transpose
PROPAGATE_FAILURE_STATUS(transpose(dstBuf.get().raw(), srcBuf.get().raw(), width, height, stream));
swap(dstBuf, srcBuf);
if (wrap) {
for (unsigned i = 0; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlurColumnsWrapRGBA210(dstBuf, srcBuf.as_const(), height, width, radius, stream));
swap(dstBuf, srcBuf);
}
} else {
for (unsigned i = 0; i < passes; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlurColumnsNoWrapRGBA210(dstBuf, srcBuf.as_const(), height, width, radius, stream));
swap(dstBuf, srcBuf);
}
}
PROPAGATE_FAILURE_STATUS(transpose(dstBuf.get().raw(), srcBuf.get().raw(), height, width, stream));
// There are (passes - 1) swaps, then the transpose swap, then passes swaps.
// i.e. 2 * passes swaps. So overall srcBuf ad dstBuff are unchanged from their first state.
assert(dstBuf == dst);
}
return CUDA_STATUS;
}
Status gaussianBlur1DRGBA210SS(uint32_t* dst, const uint32_t* src, std::size_t width, std::size_t height,
unsigned radius, bool wrap, GPU::Stream gpuStream) {
cudaStream_t stream = gpuStream.get();
// Block organization is as follows for a 5x3 image and dimBlock.x == 3
// 00 00 00 10 10
// 01 01 01 11 11
// 02 02 02 12 12
// Handle the interior
if ((unsigned)width > 2 * radius) {
dim3 dimBlock(RGBA_BOX_BLUR_SS_1D_BLOCK_SIZE, 1, 1);
dim3 dimGrid((unsigned)Cuda::ceilDiv(width - 2 * radius, dimBlock.x), (unsigned)height, 1);
assert(2 * radius < dimBlock.x);
switch (radius) {
case 1:
gaussianBlur1DRGBA210SSKernelInterior<unrolledGaussianKernel1>
<<<dimGrid, dimBlock, 16 * (dimBlock.x + 2 * radius), stream>>>(dst, src, (unsigned)width, (unsigned)height,
radius);
break;
case 2:
gaussianBlur1DRGBA210SSKernelInterior<unrolledGaussianKernel2>
<<<dimGrid, dimBlock, 16 * (dimBlock.x + 2 * radius), stream>>>(dst, src, (unsigned)width, (unsigned)height,
radius);
break;
case 3:
gaussianBlur1DRGBA210SSKernelInterior<unrolledGaussianKernel3>
<<<dimGrid, dimBlock, 16 * (dimBlock.x + 2 * radius), stream>>>(dst, src, (unsigned)width, (unsigned)height,
radius);
break;
case 4:
gaussianBlur1DRGBA210SSKernelInterior<unrolledGaussianKernel4>
<<<dimGrid, dimBlock, 16 * (dimBlock.x + 2 * radius), stream>>>(dst, src, (unsigned)width, (unsigned)height,
radius);
break;
case 5:
gaussianBlur1DRGBA210SSKernelInterior<unrolledGaussianKernel5>
<<<dimGrid, dimBlock, 16 * (dimBlock.x + 2 * radius), stream>>>(dst, src, (unsigned)width, (unsigned)height,
radius);
break;
case 6:
gaussianBlur1DRGBA210SSKernelInterior<unrolledGaussianKernel6>
<<<dimGrid, dimBlock, 16 * (dimBlock.x + 2 * radius), stream>>>(dst, src, (unsigned)width, (unsigned)height,
radius);
break;
default:
assert(false);
break;
}
}
// There are exactly radius pixels on each border (left and right) + radius pixels before and after them.
assert(4 * radius <= 32);
dim3 dimBlock(4 * radius, 1, 1);
dim3 dimGrid(1, (unsigned)height, 1);
if (wrap) {
switch (radius) {
case 1:
gaussianBlur1DRGBA210SSKernelWrap<unrolledGaussianKernel1>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 2:
gaussianBlur1DRGBA210SSKernelWrap<unrolledGaussianKernel2>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 3:
gaussianBlur1DRGBA210SSKernelWrap<unrolledGaussianKernel3>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 4:
gaussianBlur1DRGBA210SSKernelWrap<unrolledGaussianKernel4>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 5:
gaussianBlur1DRGBA210SSKernelWrap<unrolledGaussianKernel5>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 6:
gaussianBlur1DRGBA210SSKernelWrap<unrolledGaussianKernel6>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
default:
assert(false);
break;
}
} else {
switch (radius) {
case 1:
gaussianBlur1DRGBA210SSKernelNoWrap<unrolledGaussianKernel1>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 2:
gaussianBlur1DRGBA210SSKernelNoWrap<unrolledGaussianKernel2>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 3:
gaussianBlur1DRGBA210SSKernelNoWrap<unrolledGaussianKernel3>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 4:
gaussianBlur1DRGBA210SSKernelNoWrap<unrolledGaussianKernel4>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 5:
gaussianBlur1DRGBA210SSKernelNoWrap<unrolledGaussianKernel5>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
case 6:
gaussianBlur1DRGBA210SSKernelNoWrap<unrolledGaussianKernel6>
<<<dimGrid, dimBlock, 16 * dimBlock.x, stream>>>(dst, src, (unsigned)width, (unsigned)height, radius);
break;
default:
assert(false);
break;
}
}
return CUDA_STATUS;
}
Status gaussianBlur2DRGBA210SS(uint32_t* buf, uint32_t* work, std::size_t width, std::size_t height, unsigned radius,
bool wrap, GPU::Stream stream) {
// Vertical pass, never wraps.
PROPAGATE_FAILURE_STATUS(gaussianBlur1DRGBA210SS(work, buf, width, height, radius, false, stream));
// transpose
PROPAGATE_FAILURE_STATUS(transpose(buf, work, width, height, stream));
PROPAGATE_FAILURE_STATUS(gaussianBlur1DRGBA210SS(work, buf, height, width, radius, wrap, stream));
return transpose(buf, work, height, width, stream);
}
// TODO_GPU_DEPRECATE
// only used in test currently
Status gaussianBlur2D(GPU::Buffer<unsigned char> buf, GPU::Buffer<unsigned char> work, std::size_t width,
std::size_t height, unsigned radius, unsigned passes, bool wrap, unsigned blockSize,
GPU::Stream stream) {
// Avoid copy: force even passes
assert((passes & 1) == 0);
for (unsigned i = 0; i < passes / 2; ++i) {
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(work, buf.as_const(), width, height, radius, blockSize, stream));
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(buf, work.as_const(), width, height, radius, blockSize, stream));
}
// transpose
PROPAGATE_FAILURE_STATUS(transpose(work.get().raw(), buf.as_const().get().raw(), width, height, stream));
for (unsigned i = 0; i < passes / 2; ++i) {
if (wrap) {
PROPAGATE_FAILURE_STATUS(boxBlur1DWrap(buf, work.as_const(), height, width, radius, blockSize, stream));
PROPAGATE_FAILURE_STATUS(boxBlur1DWrap(work, buf.as_const(), height, width, radius, blockSize, stream));
} else {
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(buf, work.as_const(), height, width, radius, blockSize, stream));
PROPAGATE_FAILURE_STATUS(boxBlur1DNoWrap(work, buf.as_const(), height, width, radius, blockSize, stream));
}
}
return transpose(buf.get().raw(), work.as_const().get().raw(), height, width, stream);
}
Status gaussianBlur2DRGBA(GPU::Buffer<uint32_t> dst, GPU::Buffer<const uint32_t> src, GPU::Buffer<uint32_t> work,
std::size_t width, std::size_t height, unsigned /*radius*/, unsigned /*passes*/, bool wrap,
GPU::Stream stream) {
uint32_t* h_Kernel = (uint32_t*)malloc((2 * KERNEL_RADIUS + 1) * sizeof(uint32_t));
h_Kernel[0] = 1;
h_Kernel[1] = 4;
h_Kernel[2] = 6;
h_Kernel[3] = 4;
h_Kernel[4] = 1;
setConvolutionKernel(h_Kernel);
{
dim3 blocks((unsigned)Cuda::ceilDiv(width, ROWS_RESULT_STEPS * ROWS_BLOCKDIM_X),
(unsigned)Cuda::ceilDiv(height, ROWS_BLOCKDIM_Y));
dim3 threads(ROWS_BLOCKDIM_X, ROWS_BLOCKDIM_Y);
if (wrap) {
convolutionRowsKernel<true><<<blocks, threads, 0, stream.get()>>>(
work.get().raw(), src.get().raw(), (unsigned)width, (unsigned)height, (unsigned)width);
} else {
convolutionRowsKernel<false><<<blocks, threads, 0, stream.get()>>>(
work.get().raw(), src.get().raw(), (unsigned)width, (unsigned)height, (unsigned)width);
}
}
{
dim3 blocks((unsigned)Cuda::ceilDiv(width, COLUMNS_BLOCKDIM_X),
(unsigned)Cuda::ceilDiv(height, COLUMNS_RESULT_STEPS * COLUMNS_BLOCKDIM_Y));
dim3 threads(COLUMNS_BLOCKDIM_X, COLUMNS_BLOCKDIM_Y);
convolutionColumnsKernel<<<blocks, threads, 0, stream.get()>>>(dst.get().raw(), work.get().raw(), (unsigned)width,
(unsigned)height, (unsigned)width);
}
free(h_Kernel);
return CUDA_STATUS;
}
} // namespace Image
} // namespace VideoStitch