mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2025-04-25 01:01:23 +01:00
72 lines
2.9 KiB
C++
72 lines
2.9 KiB
C++
/* Copyright (c) 2024, 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 <vector>
|
|
#include "cudaNvSciBufMultiplanar.h"
|
|
#include <helper_image.h>
|
|
|
|
#define MAX_FILE_SIZE 100
|
|
|
|
int main(int argc, const char **argv) {
|
|
int numOfGPUs = 0;
|
|
std::vector<int> deviceIds;
|
|
(cudaGetDeviceCount(&numOfGPUs));
|
|
|
|
printf("%d GPUs found\n", numOfGPUs);
|
|
if (!numOfGPUs) {
|
|
exit(EXIT_WAIVED);
|
|
} else {
|
|
for (int devID = 0; devID < numOfGPUs; devID++) {
|
|
int major = 0, minor = 0;
|
|
(cudaDeviceGetAttribute(
|
|
&major, cudaDevAttrComputeCapabilityMajor, devID));
|
|
(cudaDeviceGetAttribute(
|
|
&minor, cudaDevAttrComputeCapabilityMinor, devID));
|
|
if (major >= 6) {
|
|
deviceIds.push_back(devID);
|
|
}
|
|
}
|
|
if (deviceIds.size() == 0) {
|
|
printf(
|
|
"cudaNvSciBufMultiplanar requires one or more GPUs of Pascal(SM 6.0) or higher "
|
|
"archs\nWaiving..\n");
|
|
exit(EXIT_WAIVED);
|
|
}
|
|
}
|
|
|
|
std::string image_filename = sdkFindFilePath("yuv_planar_img1.yuv", argv[0]);
|
|
std::string image_filename_out = "image_out.yuv";
|
|
uint32_t imageWidth = 720;
|
|
uint32_t imageHeight = 480;
|
|
|
|
printf("input image %s , width = %d, height = %d\n", image_filename.c_str(), imageWidth, imageHeight);
|
|
|
|
cudaNvSciBufMultiplanar cudaNvSciBufMultiplanarApp(imageWidth, imageHeight, deviceIds);
|
|
cudaNvSciBufMultiplanarApp.runCudaNvSciBufPlanar(image_filename, image_filename_out);
|
|
|
|
return EXIT_SUCCESS;
|
|
} |