mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-24 22:29:16 +08:00
121 lines
5.2 KiB
Plaintext
121 lines
5.2 KiB
Plaintext
/* Copyright (c) 2019, 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 <cuda.h>
|
|
#include <helper_cuda.h>
|
|
#include <helper_image.h>
|
|
|
|
// convert floating point rgba color to 32-bit integer
|
|
__device__ unsigned int rgbaFloatToInt(float4 rgba) {
|
|
rgba.x = __saturatef(rgba.x); // clamp to [0.0, 1.0]
|
|
rgba.y = __saturatef(rgba.y);
|
|
rgba.z = __saturatef(rgba.z);
|
|
rgba.w = __saturatef(rgba.w);
|
|
return ((unsigned int)(rgba.w * 255.0f) << 24) |
|
|
((unsigned int)(rgba.z * 255.0f) << 16) |
|
|
((unsigned int)(rgba.y * 255.0f) << 8) |
|
|
((unsigned int)(rgba.x * 255.0f));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
//! Rotate an image using texture lookups
|
|
//! @param outputData output data in global memory
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
static __global__ void transformKernel(unsigned int *outputData, int width,
|
|
int height, float theta,
|
|
cudaTextureObject_t tex) {
|
|
// calculate normalized texture coordinates
|
|
unsigned int x = blockIdx.x * blockDim.x + threadIdx.x;
|
|
unsigned int y = blockIdx.y * blockDim.y + threadIdx.y;
|
|
|
|
float u = (float)x - (float)width / 2;
|
|
float v = (float)y - (float)height / 2;
|
|
float tu = u * cosf(theta) - v * sinf(theta);
|
|
float tv = v * cosf(theta) + u * sinf(theta);
|
|
|
|
tu /= (float)width;
|
|
tv /= (float)height;
|
|
|
|
// read from texture and write to global memory
|
|
float4 pix = tex2D<float4>(tex, tu + 0.5f, tv + 0.5f);
|
|
unsigned int pixelInt = rgbaFloatToInt(pix);
|
|
outputData[y * width + x] = pixelInt;
|
|
}
|
|
|
|
static __global__ void rgbToGrayscaleKernel(unsigned int *rgbaImage,
|
|
size_t imageWidth,
|
|
size_t imageHeight) {
|
|
size_t gidX = blockDim.x * blockIdx.x + threadIdx.x;
|
|
|
|
uchar4 *pixArray = (uchar4 *)rgbaImage;
|
|
|
|
for (int pixId = gidX; pixId < imageWidth * imageHeight;
|
|
pixId += gridDim.x * blockDim.x) {
|
|
uchar4 dataA = pixArray[pixId];
|
|
unsigned char grayscale =
|
|
(unsigned char)(dataA.x * 0.3 + dataA.y * 0.59 + dataA.z * 0.11);
|
|
uchar4 dataB = make_uchar4(grayscale, grayscale, grayscale, 0);
|
|
pixArray[pixId] = dataB;
|
|
}
|
|
}
|
|
|
|
void launchGrayScaleKernel(unsigned int *d_rgbaImage,
|
|
std::string image_filename, size_t imageWidth,
|
|
size_t imageHeight, cudaStream_t stream) {
|
|
int numThreadsPerBlock = 1024;
|
|
int numOfBlocks = (imageWidth * imageHeight) / numThreadsPerBlock;
|
|
|
|
rgbToGrayscaleKernel<<<numOfBlocks, numThreadsPerBlock, 0, stream>>>(
|
|
d_rgbaImage, imageWidth, imageHeight);
|
|
|
|
unsigned int *outputData =
|
|
(unsigned int *)malloc(sizeof(unsigned int) * imageWidth * imageHeight);
|
|
checkCudaErrors(cudaMemcpyAsync(
|
|
outputData, d_rgbaImage, sizeof(unsigned int) * imageWidth * imageHeight,
|
|
cudaMemcpyDeviceToHost, stream));
|
|
checkCudaErrors(cudaStreamSynchronize(stream));
|
|
|
|
char outputFilename[1024];
|
|
strcpy(outputFilename, image_filename.c_str());
|
|
strcpy(outputFilename + image_filename.length() - 4, "_out.ppm");
|
|
sdkSavePPM4ub(outputFilename, (unsigned char *)outputData, imageWidth,
|
|
imageHeight);
|
|
printf("Wrote '%s'\n", outputFilename);
|
|
|
|
free(outputData);
|
|
}
|
|
|
|
void rotateKernel(cudaTextureObject_t &texObj, const float angle,
|
|
unsigned int *d_outputData, const int imageWidth,
|
|
const int imageHeight, cudaStream_t stream) {
|
|
dim3 dimBlock(8, 8, 1);
|
|
dim3 dimGrid(imageWidth / dimBlock.x, imageHeight / dimBlock.y, 1);
|
|
|
|
transformKernel<<<dimGrid, dimBlock, 0, stream>>>(d_outputData, imageWidth,
|
|
imageHeight, angle, texObj);
|
|
}
|