/* 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. */ #if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64) #define WINDOWS_LEAN_AND_MEAN #define NOMINMAX #include #pragma warning(disable : 4819) #endif #include #include #include #include #include #include #include #include #include #include #include bool printfNPPinfo(int argc, char *argv[]) { const NppLibraryVersion *libVer = nppGetLibVersion(); printf("NPP Library Version %d.%d.%d\n", libVer->major, libVer->minor, libVer->build); int driverVersion, runtimeVersion; cudaDriverGetVersion(&driverVersion); cudaRuntimeGetVersion(&runtimeVersion); printf(" CUDA Driver Version: %d.%d\n", driverVersion / 1000, (driverVersion % 100) / 10); printf(" CUDA Runtime Version: %d.%d\n", runtimeVersion / 1000, (runtimeVersion % 100) / 10); // Min spec is SM 1.0 devices bool bVal = checkCudaCapabilities(1, 0); return bVal; } int main(int argc, char *argv[]) { printf("%s Starting...\n\n", argv[0]); try { std::string sFilename; char *filePath; findCudaDevice(argc, (const char **)argv); if (printfNPPinfo(argc, argv) == false) { exit(EXIT_SUCCESS); } if (checkCmdLineFlag(argc, (const char **)argv, "input")) { getCmdLineArgumentString(argc, (const char **)argv, "input", &filePath); } else { filePath = sdkFindFilePath("Lena.pgm", argv[0]); } if (filePath) { sFilename = filePath; } else { sFilename = "Lena.pgm"; } // if we specify the filename at the command line, then we only test // sFilename[0]. int file_errors = 0; std::ifstream infile(sFilename.data(), std::ifstream::in); if (infile.good()) { std::cout << "boxFilterNPP opened: <" << sFilename.data() << "> successfully!" << std::endl; file_errors = 0; infile.close(); } else { std::cout << "boxFilterNPP unable to open: <" << sFilename.data() << ">" << std::endl; file_errors++; infile.close(); } if (file_errors > 0) { exit(EXIT_FAILURE); } std::string sResultFilename = sFilename; std::string::size_type dot = sResultFilename.rfind('.'); if (dot != std::string::npos) { sResultFilename = sResultFilename.substr(0, dot); } sResultFilename += "_boxFilter.pgm"; if (checkCmdLineFlag(argc, (const char **)argv, "output")) { char *outputFilePath; getCmdLineArgumentString(argc, (const char **)argv, "output", &outputFilePath); sResultFilename = outputFilePath; } // declare a host image object for an 8-bit grayscale image npp::ImageCPU_8u_C1 oHostSrc; // load gray-scale image from disk npp::loadImage(sFilename, oHostSrc); // declare a device image and copy construct from the host image, // i.e. upload host to device npp::ImageNPP_8u_C1 oDeviceSrc(oHostSrc); // create struct with box-filter mask size NppiSize oMaskSize = {5, 5}; NppiSize oSrcSize = {(int)oDeviceSrc.width(), (int)oDeviceSrc.height()}; NppiPoint oSrcOffset = {0, 0}; // create struct with ROI size NppiSize oSizeROI = {(int)oDeviceSrc.width(), (int)oDeviceSrc.height()}; // allocate device image of appropriately reduced size npp::ImageNPP_8u_C1 oDeviceDst(oSizeROI.width, oSizeROI.height); // set anchor point inside the mask to (oMaskSize.width / 2, // oMaskSize.height / 2) It should round down when odd NppiPoint oAnchor = {oMaskSize.width / 2, oMaskSize.height / 2}; // run box filter NPP_CHECK_NPP(nppiFilterBoxBorder_8u_C1R( oDeviceSrc.data(), oDeviceSrc.pitch(), oSrcSize, oSrcOffset, oDeviceDst.data(), oDeviceDst.pitch(), oSizeROI, oMaskSize, oAnchor, NPP_BORDER_REPLICATE)); // declare a host image for the result npp::ImageCPU_8u_C1 oHostDst(oDeviceDst.size()); // and copy the device result data into it oDeviceDst.copyTo(oHostDst.data(), oHostDst.pitch()); saveImage(sResultFilename, oHostDst); std::cout << "Saved image: " << sResultFilename << std::endl; nppiFree(oDeviceSrc.data()); nppiFree(oDeviceDst.data()); exit(EXIT_SUCCESS); } catch (npp::Exception &rException) { std::cerr << "Program error! The following exception occurred: \n"; std::cerr << rException << std::endl; std::cerr << "Aborting." << std::endl; exit(EXIT_FAILURE); } catch (...) { std::cerr << "Program error! An unknow type of exception occurred. \n"; std::cerr << "Aborting." << std::endl; exit(EXIT_FAILURE); return -1; } return 0; }