void FreeImageStack::loadImage(unsigned int iSlice, npp::ImageNPP_8u_C1 & rImage) const { NPP_ASSERT_MSG(iSlice < slices(), "Slice index exceeded number of slices in stack."); FIBITMAP * pBitmap = FreeImage_LockPage(pImageStack_, iSlice); NPP_ASSERT_NOT_NULL(pBitmap); // make sure this is an 8-bit single channel image NPP_DEBUG_ASSERT(FreeImage_GetColorType(pBitmap) == FIC_MINISBLACK); NPP_DEBUG_ASSERT(FreeImage_GetBPP(pBitmap) == 8); NPP_DEBUG_ASSERT(FreeImage_GetWidth(pBitmap) == nWidth_); NPP_DEBUG_ASSERT(FreeImage_GetHeight(pBitmap) == nHeight_); unsigned int nSrcPitch = FreeImage_GetPitch(pBitmap); unsigned char * pSrcData = FreeImage_GetBits(pBitmap); if (rImage.width() == nWidth_ && rImage.height() == nHeight_) { NPP_CHECK_CUDA(cudaMemcpy2D(rImage.data(), rImage.pitch(), pSrcData, nSrcPitch, nWidth_, nHeight_, cudaMemcpyHostToDevice)); } else { // create new NPP image npp::ImageNPP_8u_C1 oImage(nWidth_, nHeight_); // transfer slice data into new device image NPP_CHECK_CUDA(cudaMemcpy2D(oImage.data(), oImage.pitch(), pSrcData, nSrcPitch, nWidth_, nHeight_, cudaMemcpyHostToDevice)); // swap the result image with the reference passed into this method rImage.swap(oImage); } // release locked slice FreeImage_UnlockPage(pImageStack_, pBitmap, FALSE); }
static Npp32f * Malloc2D(unsigned int nWidth, unsigned int nHeight, unsigned int * pPitch) { NPP_ASSERT(nWidth * nHeight > 0); Npp32f * pResult; *pPitch = nWidth *sizeof(float); NPP_CHECK_CUDA(cudaMalloc(reinterpret_cast<void **>(&pResult), (*pPitch) * nHeight)); NPP_ASSERT(pResult != 0); return pResult; };
void FreeImageStack::appendImage(const npp::ImageNPP_32f_C1 & rImage) { NPP_ASSERT(rImage.width() == nWidth_); NPP_ASSERT(rImage.height() == nHeight_); // create the result image storage using FreeImage so we can easily // save unsigned int nResultPitch = FreeImage_GetPitch(pBitmap_32f_); float * pResultData = reinterpret_cast<float *>(FreeImage_GetBits(pBitmap_32f_)); NPP_CHECK_CUDA(cudaMemcpy2D(pResultData, nResultPitch, rImage.data(), rImage.pitch(), nWidth_ * 4, nHeight_, cudaMemcpyDeviceToHost)); FreeImage_AppendPage(pImageStack_, pBitmap_32f_); appendAzimuthalAnalysis(pResultData, nResultPitch); }
int main(int argc, char *argv[]) { printf("%s Starting...\n\n", argv[0]); try { std::string sFilename; char *filePath = sdkFindFilePath("Lena.pgm", argv[0]); if (filePath) { sFilename = filePath; } else { printf("Error unable to find Lena.pgm\n"); exit(EXIT_FAILURE); } // set your own FreeImage error handler FreeImage_SetOutputMessage(FreeImageErrorHandler); cudaDeviceInit(argc, (const char **)argv); // Min spec is SM 1.0 devices if (printfNPPinfo(argc, argv, 1, 0) == false) { cudaDeviceReset(); exit(EXIT_SUCCESS); } if (argc > 1) { sFilename = argv[1]; } // if we specify the filename at the command line, then we only test sFilename // otherwise we will check both sFilename[0,1] int file_errors = 0; std::ifstream infile(sFilename.data(), std::ifstream::in); if (infile.good()) { std::cout << "freeImageInteropNPP opened: <" << sFilename.data() << "> successfully!" << std::endl; file_errors = 0; infile.close(); } else { std::cout << "freeImageInteropNPP 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 += "_boxFilterFII.pgm"; if (argc >= 3) { sResultFilename = argv[2]; } FREE_IMAGE_FORMAT eFormat = FreeImage_GetFileType(sFilename.c_str()); // no signature? try to guess the file format from the file extension if (eFormat == FIF_UNKNOWN) { eFormat = FreeImage_GetFIFFromFilename(sFilename.c_str()); } NPP_ASSERT(eFormat != FIF_UNKNOWN); // check that the plugin has reading capabilities ... FIBITMAP *pBitmap; if (FreeImage_FIFSupportsReading(eFormat)) { pBitmap = FreeImage_Load(eFormat, sFilename.c_str()); } NPP_ASSERT(pBitmap != 0); // Dump the bitmap information to the console std::cout << (*pBitmap) << std::endl; // make sure this is an 8-bit single channel image NPP_ASSERT(FreeImage_GetColorType(pBitmap) == FIC_MINISBLACK); NPP_ASSERT(FreeImage_GetBPP(pBitmap) == 8); unsigned int nImageWidth = FreeImage_GetWidth(pBitmap); unsigned int nImageHeight = FreeImage_GetHeight(pBitmap); unsigned int nSrcPitch = FreeImage_GetPitch(pBitmap); unsigned char *pSrcData = FreeImage_GetBits(pBitmap); int nSrcPitchCUDA; Npp8u *pSrcImageCUDA = nppiMalloc_8u_C1(nImageWidth, nImageHeight, &nSrcPitchCUDA); NPP_ASSERT_NOT_NULL(pSrcImageCUDA); // copy image loaded via FreeImage to into CUDA device memory, i.e. // transfer the image-data up to the GPU's video-memory NPP_CHECK_CUDA(cudaMemcpy2D(pSrcImageCUDA, nSrcPitchCUDA, pSrcData, nSrcPitch, nImageWidth, nImageHeight, cudaMemcpyHostToDevice)); // define size of the box filter const NppiSize oMaskSize = {7, 7}; const NppiPoint oMaskAchnor = {0, 0}; // compute maximal result image size const NppiSize oSizeROI = {nImageWidth - (oMaskSize.width - 1), nImageHeight - (oMaskSize.height - 1) }; // allocate result image memory int nDstPitchCUDA; Npp8u *pDstImageCUDA = nppiMalloc_8u_C1(oSizeROI.width, oSizeROI.height, &nDstPitchCUDA); NPP_ASSERT_NOT_NULL(pDstImageCUDA); NPP_CHECK_NPP(nppiFilterBox_8u_C1R(pSrcImageCUDA, nSrcPitchCUDA, pDstImageCUDA, nDstPitchCUDA, oSizeROI, oMaskSize, oMaskAchnor)); // create the result image storage using FreeImage so we can easily // save FIBITMAP *pResultBitmap = FreeImage_Allocate(oSizeROI.width, oSizeROI.height, 8 /* bits per pixel */); NPP_ASSERT_NOT_NULL(pResultBitmap); unsigned int nResultPitch = FreeImage_GetPitch(pResultBitmap); unsigned char *pResultData = FreeImage_GetBits(pResultBitmap); NPP_CHECK_CUDA(cudaMemcpy2D(pResultData, nResultPitch, pDstImageCUDA, nDstPitchCUDA, oSizeROI.width, oSizeROI.height, cudaMemcpyDeviceToHost)); // now save the result image bool bSuccess; bSuccess = FreeImage_Save(FIF_PGM, pResultBitmap, sResultFilename.c_str(), 0) == TRUE; NPP_ASSERT_MSG(bSuccess, "Failed to save result image."); //free nppiImage nppiFree(pSrcImageCUDA); nppiFree(pDstImageCUDA); cudaDeviceReset(); 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); } exit(EXIT_SUCCESS); }
int main(int argc, char* argv[]) { shrQAStart(argc, argv); try { std::string sFilename; char *filePath = findFilePath("Lena.pgm", argv[0]); if (filePath) { sFilename = filePath; } else { printf("Error unable to find Lena.pgm\n"); shrQAFinishExit(argc, (const char **)argv, QA_FAILED); } // Parse the command line arguments for proper configuration parseCommandLineArguments(argc, argv); printfNPPinfo(argc, argv); if (g_bQATest == false && (g_nDevice == -1) && argc > 1) { sFilename = argv[1]; } // if we specify the filename at the command line, then we only test sFilename. int file_errors = 0; std::ifstream infile(sFilename.data(), std::ifstream::in); if (infile.good()) { std::cout << "histEqualizationNPP opened: <" << sFilename.data() << "> successfully!" << std::endl; file_errors = 0; infile.close(); } else { std::cout << "histEqualizationNPP unable to open: <" << sFilename.data() << ">" << std::endl; file_errors++; infile.close(); } if (file_errors > 0) { shrQAFinishExit(argc, (const char **)argv, QA_FAILED); } std::string dstFileName = sFilename; std::string::size_type dot = dstFileName.rfind('.'); if (dot != std::string::npos) dstFileName = dstFileName.substr(0, dot); dstFileName += "_histEqualization.pgm"; if (argc >= 3 && !g_bQATest) dstFileName = argv[2]; npp::ImageCPU_8u_C1 oHostSrc; npp::loadImage(sFilename, oHostSrc); npp::ImageNPP_8u_C1 oDeviceSrc(oHostSrc); // // allocate arrays for histogram and levels // const int binCount = 256; const int levelCount = binCount + 1; // levels array has one more element Npp32s * histDevice = 0; Npp32s * levelsDevice = 0; NPP_CHECK_CUDA(cudaMalloc((void **)&histDevice, binCount * sizeof(Npp32s))); NPP_CHECK_CUDA(cudaMalloc((void **)&levelsDevice, levelCount * sizeof(Npp32s))); // // compute histogram // NppiSize oSizeROI = {oDeviceSrc.width(), oDeviceSrc.height()}; // full image // create device scratch buffer for nppiHistogram int nDeviceBufferSize; nppiHistogramEvenGetBufferSize_8u_C1R(oSizeROI, levelCount ,&nDeviceBufferSize); Npp8u * pDeviceBuffer; NPP_CHECK_CUDA(cudaMalloc((void **)&pDeviceBuffer, nDeviceBufferSize)); // compute levels values on host Npp32s levelsHost[levelCount]; NPP_CHECK_NPP(nppiEvenLevelsHost_32s(levelsHost, levelCount, 0, binCount)); // compute the histogram NPP_CHECK_NPP(nppiHistogramEven_8u_C1R(oDeviceSrc.data(), oDeviceSrc.pitch(), oSizeROI, histDevice, levelCount, 0, binCount, pDeviceBuffer)); // copy histogram and levels to host memory Npp32s histHost[binCount]; NPP_CHECK_CUDA(cudaMemcpy(histHost, histDevice, binCount * sizeof(Npp32s), cudaMemcpyDeviceToHost)); Npp32s lutHost[binCount + 1]; // fill LUT { Npp32s * pHostHistogram = histHost; Npp32s totalSum = 0; for (; pHostHistogram < histHost + binCount; ++pHostHistogram) totalSum += *pHostHistogram; NPP_ASSERT(totalSum == oSizeROI.width * oSizeROI.height); if (totalSum == 0) totalSum = 1; float multiplier = 1.0f / float(totalSum) * 0xFF; Npp32s runningSum = 0; Npp32s * pLookupTable = lutHost; for (pHostHistogram = histHost; pHostHistogram < histHost + binCount; ++pHostHistogram) { *pLookupTable = (Npp32s)(runningSum * multiplier + 0.5f); pLookupTable++; runningSum += *pHostHistogram; } lutHost[binCount] = 0xFF; // last element is always 1 } // // apply LUT transformation to the image // // Create a device image for the result. npp::ImageNPP_8u_C1 oDeviceDst(oDeviceSrc.size()); NPP_CHECK_NPP(nppiLUT_Linear_8u_C1R(oDeviceSrc.data(), oDeviceSrc.pitch(), oDeviceDst.data(), oDeviceDst.pitch(), oSizeROI, lutHost, // value and level arrays are in host memory levelsHost, binCount+1)); // copy the result image back into the storage that contained the // input image npp::ImageCPU_8u_C1 oHostDst(oDeviceDst.size()); oDeviceDst.copyTo(oHostDst.data(), oHostDst.pitch()); // save the result npp::saveImage(dstFileName.c_str(), oHostDst); std::cout << "Saved image file " << dstFileName << std::endl; shrQAFinishExit(argc, (const char **)argv, QA_PASSED); } catch (npp::Exception & rException) { std::cerr << "Program error! The following exception occurred: \n"; std::cerr << rException << std::endl; std::cerr << "Aborting." << std::endl; shrQAFinishExit(argc, (const char **)argv, QA_FAILED); } catch (...) { std::cerr << "Program error! An unknow type of exception occurred. \n"; std::cerr << "Aborting." << std::endl; shrQAFinishExit(argc, (const char **)argv, QA_FAILED); } return 0; }