mirror of
https://github.com/NVIDIA/cuda-samples.git
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301 lines
10 KiB
C++
301 lines
10 KiB
C++
/* Copyright (c) 2021, 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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// A simple CUDA Sample demonstrates how to use FreeImage library with NPP.
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// Detailed description of this example can be found as comments in the source
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// code.
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#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
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#pragma warning(disable : 4819)
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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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#endif
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#include "FreeImage.h"
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#include "Exceptions.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> // CUDA NPP Definitions
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#include <helper_cuda.h> // helper for CUDA Error handling and initialization
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#include <helper_string.h> // helper for string parsing
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inline int cudaDeviceInit(int argc, const char **argv) {
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int deviceCount;
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checkCudaErrors(cudaGetDeviceCount(&deviceCount));
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if (deviceCount == 0) {
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std::cerr << "CUDA error: no devices supporting CUDA." << std::endl;
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exit(EXIT_FAILURE);
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}
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int dev = findCudaDevice(argc, argv);
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cudaDeviceProp deviceProp;
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cudaGetDeviceProperties(&deviceProp, dev);
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std::cerr << "cudaSetDevice GPU" << dev << " = " << deviceProp.name
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<< std::endl;
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checkCudaErrors(cudaSetDevice(dev));
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return dev;
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}
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bool printfNPPinfo(int argc, char *argv[], int cudaVerMajor, int cudaVerMinor) {
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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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bool bVal = checkCudaCapabilities(cudaVerMajor, cudaVerMinor);
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return bVal;
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}
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// Error handler for FreeImage library.
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// In case this handler is invoked, it throws an NPP exception.
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extern "C" void FreeImageErrorHandler(FREE_IMAGE_FORMAT oFif,
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const char *zMessage) {
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throw npp::Exception(zMessage);
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}
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std::ostream &operator<<(std::ostream &rOutputStream, const FIBITMAP &rBitmap) {
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unsigned int nImageWidth =
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FreeImage_GetWidth(const_cast<FIBITMAP *>(&rBitmap));
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unsigned int nImageHeight =
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FreeImage_GetHeight(const_cast<FIBITMAP *>(&rBitmap));
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unsigned int nPitch = FreeImage_GetPitch(const_cast<FIBITMAP *>(&rBitmap));
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unsigned int nBPP = FreeImage_GetBPP(const_cast<FIBITMAP *>(&rBitmap));
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FREE_IMAGE_COLOR_TYPE eType =
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FreeImage_GetColorType(const_cast<FIBITMAP *>(&rBitmap));
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rOutputStream << "Size (" << nImageWidth << ", " << nImageHeight << ")\n";
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rOutputStream << "Pitch " << nPitch << "\n";
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rOutputStream << "Type ";
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switch (eType) {
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case FIC_MINISWHITE:
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rOutputStream << "FIC_MINISWHITE\n";
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break;
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case FIC_MINISBLACK:
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rOutputStream << "FIC_MINISBLACK\n";
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break;
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case FIC_RGB:
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rOutputStream << "FIC_RGB\n";
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break;
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case FIC_PALETTE:
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rOutputStream << "FIC_PALETTE\n";
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break;
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case FIC_RGBALPHA:
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rOutputStream << "FIC_RGBALPHA\n";
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break;
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case FIC_CMYK:
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rOutputStream << "FIC_CMYK\n";
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break;
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default:
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rOutputStream << "Unknown pixel format.\n";
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}
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rOutputStream << "BPP " << nBPP << std::endl;
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return rOutputStream;
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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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// set your own FreeImage error handler
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FreeImage_SetOutputMessage(FreeImageErrorHandler);
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cudaDeviceInit(argc, (const char **)argv);
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// Min spec is SM 1.0 devices
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if (printfNPPinfo(argc, argv, 1, 0) == 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 otherwise we will check both sFilename[0,1]
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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 << "freeImageInteropNPP 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 << "freeImageInteropNPP 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 += "_boxFilterFII.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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FREE_IMAGE_FORMAT eFormat = FreeImage_GetFileType(sFilename.c_str());
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// no signature? try to guess the file format from the file extension
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if (eFormat == FIF_UNKNOWN) {
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eFormat = FreeImage_GetFIFFromFilename(sFilename.c_str());
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}
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NPP_ASSERT(eFormat != FIF_UNKNOWN);
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// check that the plugin has reading capabilities ...
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FIBITMAP *pBitmap;
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if (FreeImage_FIFSupportsReading(eFormat)) {
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pBitmap = FreeImage_Load(eFormat, sFilename.c_str());
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}
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NPP_ASSERT(pBitmap != 0);
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// Dump the bitmap information to the console
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std::cout << (*pBitmap) << std::endl;
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// make sure this is an 8-bit single channel image
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NPP_ASSERT(FreeImage_GetColorType(pBitmap) == FIC_MINISBLACK);
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NPP_ASSERT(FreeImage_GetBPP(pBitmap) == 8);
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unsigned int nImageWidth = FreeImage_GetWidth(pBitmap);
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unsigned int nImageHeight = FreeImage_GetHeight(pBitmap);
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unsigned int nSrcPitch = FreeImage_GetPitch(pBitmap);
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unsigned char *pSrcData = FreeImage_GetBits(pBitmap);
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int nSrcPitchCUDA;
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Npp8u *pSrcImageCUDA =
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nppiMalloc_8u_C1(nImageWidth, nImageHeight, &nSrcPitchCUDA);
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NPP_ASSERT_NOT_NULL(pSrcImageCUDA);
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// copy image loaded via FreeImage to into CUDA device memory, i.e.
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// transfer the image-data up to the GPU's video-memory
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NPP_CHECK_CUDA(cudaMemcpy2D(pSrcImageCUDA, nSrcPitchCUDA, pSrcData,
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nSrcPitch, nImageWidth, nImageHeight,
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cudaMemcpyHostToDevice));
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// define size of the box filter
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const NppiSize oMaskSize = {7, 7};
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const NppiPoint oMaskAchnor = {0, 0};
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// compute maximal result image size
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const NppiSize oSizeROI = {(int)nImageWidth - (oMaskSize.width - 1),
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(int)nImageHeight - (oMaskSize.height - 1)};
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// allocate result image memory
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int nDstPitchCUDA;
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Npp8u *pDstImageCUDA =
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nppiMalloc_8u_C1(oSizeROI.width, oSizeROI.height, &nDstPitchCUDA);
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NPP_ASSERT_NOT_NULL(pDstImageCUDA);
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NPP_CHECK_NPP(nppiFilterBox_8u_C1R(pSrcImageCUDA, nSrcPitchCUDA,
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pDstImageCUDA, nDstPitchCUDA, oSizeROI,
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oMaskSize, oMaskAchnor));
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// create the result image storage using FreeImage so we can easily
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// save
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FIBITMAP *pResultBitmap = FreeImage_Allocate(
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oSizeROI.width, oSizeROI.height, 8 /* bits per pixel */);
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NPP_ASSERT_NOT_NULL(pResultBitmap);
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unsigned int nResultPitch = FreeImage_GetPitch(pResultBitmap);
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unsigned char *pResultData = FreeImage_GetBits(pResultBitmap);
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NPP_CHECK_CUDA(cudaMemcpy2D(pResultData, nResultPitch, pDstImageCUDA,
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nDstPitchCUDA, oSizeROI.width, oSizeROI.height,
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cudaMemcpyDeviceToHost));
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// now save the result image
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bool bSuccess;
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bSuccess = FreeImage_Save(FIF_PGM, pResultBitmap, sResultFilename.c_str(),
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0) == TRUE;
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NPP_ASSERT_MSG(bSuccess, "Failed to save result image.");
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// free nppiImage
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nppiFree(pSrcImageCUDA);
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nppiFree(pDstImageCUDA);
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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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}
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exit(EXIT_SUCCESS);
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}
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