mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-28 18:49:14 +08:00
113 lines
4.8 KiB
Plaintext
113 lines
4.8 KiB
Plaintext
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without
|
|
* modification, are permitted provided that the following conditions
|
|
* are met:
|
|
* * Redistributions of source code must retain the above copyright
|
|
* notice, this list of conditions and the following disclaimer.
|
|
* * Redistributions 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.
|
|
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
|
* contributors may be used to endorse or promote products derived
|
|
* from this software without specific prior written permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``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 COPYRIGHT OWNER 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.
|
|
*/
|
|
|
|
// Implements interlace NV12 frames batch resize
|
|
|
|
#include <cuda.h>
|
|
#include <cuda_runtime.h>
|
|
#include "resize_convert.h"
|
|
|
|
__global__ static void resizeNV12BatchKernel(cudaTextureObject_t texSrcLuma,
|
|
cudaTextureObject_t texSrcChroma,
|
|
uint8_t *pDstNv12, int nSrcWidth,
|
|
int nSrcHeight, int nDstPitch,
|
|
int nDstWidth, int nDstHeight,
|
|
int nBatchSize) {
|
|
int x = threadIdx.x + blockIdx.x * blockDim.x;
|
|
int y = threadIdx.y + blockIdx.y * blockDim.y;
|
|
|
|
int px = x * 2, py = y * 2;
|
|
|
|
if ((px + 1) >= nDstWidth || (py + 1) >= nDstHeight) return;
|
|
|
|
float fxScale = 1.0f * nSrcWidth / nDstWidth;
|
|
float fyScale = 1.0f * nSrcHeight / nDstHeight;
|
|
|
|
uint8_t *p = pDstNv12 + px + py * nDstPitch;
|
|
int hh = nDstHeight * 3 / 2;
|
|
int nByte = nDstPitch * hh;
|
|
int px_fxScale = px * fxScale;
|
|
int px_fxScale_1 = (px + 1) * fxScale;
|
|
int py_fyScale = py * fyScale;
|
|
int py_fyScale_1 = (py + 1) * fyScale;
|
|
|
|
for (int i = blockIdx.z; i < nBatchSize; i+=gridDim.z) {
|
|
*(uchar2 *)p = make_uchar2(tex2D<uint8_t>(texSrcLuma, px_fxScale, py_fyScale),
|
|
tex2D<uint8_t>(texSrcLuma, px_fxScale_1, py_fyScale));
|
|
*(uchar2 *)(p + nDstPitch) =
|
|
make_uchar2(tex2D<uint8_t>(texSrcLuma, px_fxScale, py_fyScale_1),
|
|
tex2D<uint8_t>(texSrcLuma, px_fxScale_1, py_fyScale_1));
|
|
*(uchar2 *)(p + (nDstHeight - y) * nDstPitch) = tex2D<uchar2>(
|
|
texSrcChroma, x * fxScale, (hh * i + nDstHeight + y) * fyScale);
|
|
p += nByte;
|
|
py += hh;
|
|
}
|
|
}
|
|
|
|
void resizeNV12Batch(uint8_t *dpSrc, int nSrcPitch, int nSrcWidth,
|
|
int nSrcHeight, uint8_t *dpDst, int nDstPitch,
|
|
int nDstWidth, int nDstHeight, int nBatchSize,
|
|
cudaStream_t stream) {
|
|
int hhSrc = ceilf(nSrcHeight * 3.0f / 2.0f);
|
|
cudaResourceDesc resDesc = {};
|
|
resDesc.resType = cudaResourceTypePitch2D;
|
|
resDesc.res.pitch2D.devPtr = dpSrc;
|
|
resDesc.res.pitch2D.desc = cudaCreateChannelDesc<uint8_t>();
|
|
resDesc.res.pitch2D.width = nSrcWidth;
|
|
resDesc.res.pitch2D.height = hhSrc * nBatchSize;
|
|
resDesc.res.pitch2D.pitchInBytes = nSrcPitch;
|
|
|
|
cudaTextureDesc texDesc = {};
|
|
texDesc.filterMode = cudaFilterModePoint;
|
|
texDesc.readMode = cudaReadModeElementType;
|
|
|
|
cudaTextureObject_t texLuma = 0;
|
|
checkCudaErrors(cudaCreateTextureObject(&texLuma, &resDesc, &texDesc, NULL));
|
|
|
|
resDesc.res.pitch2D.desc = cudaCreateChannelDesc<uchar2>();
|
|
resDesc.res.pitch2D.width /= 2;
|
|
|
|
cudaTextureObject_t texChroma = 0;
|
|
checkCudaErrors(cudaCreateTextureObject(&texChroma, &resDesc, &texDesc, NULL));
|
|
|
|
dim3 block(32, 32, 1);
|
|
|
|
size_t blockDimZ = nBatchSize;
|
|
|
|
// Restricting blocks in Z-dim till 32 to not launch too many blocks
|
|
blockDimZ = (blockDimZ > 32) ? 32 : blockDimZ;
|
|
|
|
dim3 grid((nDstWidth / 2 + block.x) / block.x,
|
|
(nDstHeight / 2 + block.y) / block.y, blockDimZ);
|
|
resizeNV12BatchKernel<<<grid, block, 0, stream>>>(
|
|
texLuma, texChroma, dpDst, nSrcWidth, nSrcHeight, nDstPitch, nDstWidth,
|
|
nDstHeight, nBatchSize);
|
|
|
|
checkCudaErrors(cudaDestroyTextureObject(texLuma));
|
|
checkCudaErrors(cudaDestroyTextureObject(texChroma));
|
|
}
|