mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-12-01 12:39:17 +08:00
101 lines
4.3 KiB
Plaintext
101 lines
4.3 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.
|
|
*/
|
|
|
|
#include "common.h"
|
|
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
/// \brief warp image with a given displacement field, CUDA kernel.
|
|
/// \param[in] width image width
|
|
/// \param[in] height image height
|
|
/// \param[in] stride image stride
|
|
/// \param[in] u horizontal displacement
|
|
/// \param[in] v vertical displacement
|
|
/// \param[out] out result
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
__global__ void WarpingKernel(int width, int height, int stride, const float *u,
|
|
const float *v, float *out,
|
|
cudaTextureObject_t texToWarp) {
|
|
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
|
|
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
|
|
|
|
const int pos = ix + iy * stride;
|
|
|
|
if (ix >= width || iy >= height) return;
|
|
|
|
float x = ((float)ix + u[pos] + 0.5f) / (float)width;
|
|
float y = ((float)iy + v[pos] + 0.5f) / (float)height;
|
|
|
|
out[pos] = tex2D<float>(texToWarp, x, y);
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
/// \brief warp image with provided vector field, CUDA kernel wrapper.
|
|
///
|
|
/// For each output pixel there is a vector which tells which pixel
|
|
/// from a source image should be mapped to this particular output
|
|
/// pixel.
|
|
/// It is assumed that images and the vector field have the same stride and
|
|
/// resolution.
|
|
/// \param[in] src source image
|
|
/// \param[in] w width
|
|
/// \param[in] h height
|
|
/// \param[in] s stride
|
|
/// \param[in] u horizontal displacement
|
|
/// \param[in] v vertical displacement
|
|
/// \param[out] out warped image
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
static void WarpImage(const float *src, int w, int h, int s, const float *u,
|
|
const float *v, float *out) {
|
|
dim3 threads(32, 6);
|
|
dim3 blocks(iDivUp(w, threads.x), iDivUp(h, threads.y));
|
|
|
|
cudaTextureObject_t texToWarp;
|
|
cudaResourceDesc texRes;
|
|
memset(&texRes, 0, sizeof(cudaResourceDesc));
|
|
|
|
texRes.resType = cudaResourceTypePitch2D;
|
|
texRes.res.pitch2D.devPtr = (void *)src;
|
|
texRes.res.pitch2D.desc = cudaCreateChannelDesc<float>();
|
|
texRes.res.pitch2D.width = w;
|
|
texRes.res.pitch2D.height = h;
|
|
texRes.res.pitch2D.pitchInBytes = s * sizeof(float);
|
|
|
|
cudaTextureDesc texDescr;
|
|
memset(&texDescr, 0, sizeof(cudaTextureDesc));
|
|
|
|
texDescr.normalizedCoords = true;
|
|
texDescr.filterMode = cudaFilterModeLinear;
|
|
texDescr.addressMode[0] = cudaAddressModeMirror;
|
|
texDescr.addressMode[1] = cudaAddressModeMirror;
|
|
texDescr.readMode = cudaReadModeElementType;
|
|
|
|
checkCudaErrors(
|
|
cudaCreateTextureObject(&texToWarp, &texRes, &texDescr, NULL));
|
|
|
|
WarpingKernel<<<blocks, threads>>>(w, h, s, u, v, out, texToWarp);
|
|
}
|