mirror of
https://github.com/NVIDIA/cuda-samples.git
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190 lines
6.2 KiB
C++
190 lines
6.2 KiB
C++
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/* Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
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#define WINDOWS_LEAN_AND_MEAN
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#define NOMINMAX
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#include <windows.h>
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#pragma warning(disable : 4819)
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#endif
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#include <Exceptions.h>
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#include <ImageIO.h>
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#include <ImagesCPU.h>
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#include <ImagesNPP.h>
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#include <string.h>
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#include <fstream>
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#include <iostream>
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#include <cuda_runtime.h>
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#include <npp.h>
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#include <helper_cuda.h>
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#include <helper_string.h>
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bool printfNPPinfo(int argc, char *argv[]) {
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const NppLibraryVersion *libVer = nppGetLibVersion();
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printf("NPP Library Version %d.%d.%d\n", libVer->major, libVer->minor,
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libVer->build);
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int driverVersion, runtimeVersion;
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cudaDriverGetVersion(&driverVersion);
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cudaRuntimeGetVersion(&runtimeVersion);
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printf(" CUDA Driver Version: %d.%d\n", driverVersion / 1000,
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(driverVersion % 100) / 10);
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printf(" CUDA Runtime Version: %d.%d\n", runtimeVersion / 1000,
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(runtimeVersion % 100) / 10);
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// Min spec is SM 1.0 devices
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bool bVal = checkCudaCapabilities(1, 0);
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return bVal;
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}
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int main(int argc, char *argv[]) {
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printf("%s Starting...\n\n", argv[0]);
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try {
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std::string sFilename;
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char *filePath;
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findCudaDevice(argc, (const char **)argv);
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if (printfNPPinfo(argc, argv) == false) {
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exit(EXIT_SUCCESS);
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}
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if (checkCmdLineFlag(argc, (const char **)argv, "input")) {
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getCmdLineArgumentString(argc, (const char **)argv, "input", &filePath);
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} else {
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filePath = sdkFindFilePath("Lena.pgm", argv[0]);
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}
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if (filePath) {
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sFilename = filePath;
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} else {
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sFilename = "Lena.pgm";
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}
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// if we specify the filename at the command line, then we only test
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// sFilename[0].
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int file_errors = 0;
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std::ifstream infile(sFilename.data(), std::ifstream::in);
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if (infile.good()) {
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std::cout << "boxFilterNPP opened: <" << sFilename.data()
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<< "> successfully!" << std::endl;
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file_errors = 0;
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infile.close();
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} else {
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std::cout << "boxFilterNPP unable to open: <" << sFilename.data() << ">"
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<< std::endl;
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file_errors++;
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infile.close();
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}
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if (file_errors > 0) {
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exit(EXIT_FAILURE);
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}
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std::string sResultFilename = sFilename;
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std::string::size_type dot = sResultFilename.rfind('.');
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if (dot != std::string::npos) {
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sResultFilename = sResultFilename.substr(0, dot);
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}
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sResultFilename += "_boxFilter.pgm";
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if (checkCmdLineFlag(argc, (const char **)argv, "output")) {
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char *outputFilePath;
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getCmdLineArgumentString(argc, (const char **)argv, "output",
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&outputFilePath);
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sResultFilename = outputFilePath;
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}
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// declare a host image object for an 8-bit grayscale image
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npp::ImageCPU_8u_C1 oHostSrc;
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// load gray-scale image from disk
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npp::loadImage(sFilename, oHostSrc);
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// declare a device image and copy construct from the host image,
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// i.e. upload host to device
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npp::ImageNPP_8u_C1 oDeviceSrc(oHostSrc);
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// create struct with box-filter mask size
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NppiSize oMaskSize = {5, 5};
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NppiSize oSrcSize = {(int)oDeviceSrc.width(), (int)oDeviceSrc.height()};
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NppiPoint oSrcOffset = {0, 0};
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// create struct with ROI size
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NppiSize oSizeROI = {(int)oDeviceSrc.width(), (int)oDeviceSrc.height()};
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// allocate device image of appropriately reduced size
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npp::ImageNPP_8u_C1 oDeviceDst(oSizeROI.width, oSizeROI.height);
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// set anchor point inside the mask to (oMaskSize.width / 2,
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// oMaskSize.height / 2) It should round down when odd
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NppiPoint oAnchor = {oMaskSize.width / 2, oMaskSize.height / 2};
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// run box filter
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NPP_CHECK_NPP(nppiFilterBoxBorder_8u_C1R(
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oDeviceSrc.data(), oDeviceSrc.pitch(), oSrcSize, oSrcOffset,
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oDeviceDst.data(), oDeviceDst.pitch(), oSizeROI, oMaskSize, oAnchor,
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NPP_BORDER_REPLICATE));
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// declare a host image for the result
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npp::ImageCPU_8u_C1 oHostDst(oDeviceDst.size());
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// and copy the device result data into it
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oDeviceDst.copyTo(oHostDst.data(), oHostDst.pitch());
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saveImage(sResultFilename, oHostDst);
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std::cout << "Saved image: " << sResultFilename << std::endl;
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nppiFree(oDeviceSrc.data());
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nppiFree(oDeviceDst.data());
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exit(EXIT_SUCCESS);
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} catch (npp::Exception &rException) {
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std::cerr << "Program error! The following exception occurred: \n";
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std::cerr << rException << std::endl;
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std::cerr << "Aborting." << std::endl;
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exit(EXIT_FAILURE);
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} catch (...) {
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std::cerr << "Program error! An unknow type of exception occurred. \n";
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std::cerr << "Aborting." << std::endl;
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exit(EXIT_FAILURE);
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return -1;
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}
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return 0;
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}
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