mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-29 04:39:16 +08:00
545 lines
25 KiB
C++
545 lines
25 KiB
C++
/* Copyright (c) 2022, 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 <stdio.h>
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#include <string.h>
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#include <fstream>
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#include <npp.h>
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#include <helper_cuda.h>
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// Note: If you want to view these images we HIGHLY recommend using imagej which is free on the internet and works on most platforms
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// because it is one of the few image viewing apps that can display 32 bit integer image data. While it normalizes the data
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// to floating point values for viewing it still provides a good representation of the relative brightness of each label value.
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//
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// The files read and written by this sample app use RAW image format, that is, only the image data itself exists in the files
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// with no image format information. When viewing RAW files with imagej just enter the image size and bit depth values that
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// are part of the file name when requested by imagej.
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//
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#define NUMBER_OF_IMAGES 3
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Npp8u * pInputImageDev[NUMBER_OF_IMAGES];
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Npp8u * pInputImageHost[NUMBER_OF_IMAGES];
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Npp8u * pSegmentationScratchBufferDev[NUMBER_OF_IMAGES];
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Npp8u * pSegmentsDev[NUMBER_OF_IMAGES];
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Npp8u * pSegmentsHost[NUMBER_OF_IMAGES];
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Npp32u * pSegmentLabelsOutputBufferDev[NUMBER_OF_IMAGES];
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Npp32u * pSegmentLabelsOutputBufferHost[NUMBER_OF_IMAGES];
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void tearDown() // Clean up and tear down
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{
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for (int j = 0; j < NUMBER_OF_IMAGES; j++)
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{
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if (pSegmentLabelsOutputBufferDev[j] != 0)
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cudaFree(pSegmentLabelsOutputBufferDev[j]);
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if (pSegmentationScratchBufferDev[j] != 0)
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cudaFree(pSegmentationScratchBufferDev[j]);
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if (pSegmentsDev[j] != 0)
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cudaFree(pSegmentsDev[j]);
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if (pInputImageDev[j] != 0)
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cudaFree(pInputImageDev[j]);
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if (pSegmentLabelsOutputBufferHost[j] != 0)
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free(pSegmentLabelsOutputBufferHost[j]);
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if (pSegmentsHost[j] != 0)
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free(pSegmentsHost[j]);
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if (pInputImageHost[j] != 0)
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free(pInputImageHost[j]);
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}
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}
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const std::string& SegmentsOutputFile0 = "teapot_Segments_8Way_512x512_8u.raw";
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const std::string& SegmentsOutputFile1 = "CT_skull_Segments_8Way_512x512_8u.raw";
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const std::string& SegmentsOutputFile2 = "Rocks_Segments_8Way_512x512_8u.raw";
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const std::string& SegmentBoundariesOutputFile0 = "teapot_SegmentBoundaries_8Way_512x512_8u.raw";
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const std::string& SegmentBoundariesOutputFile1 = "CT_skull_SegmentBoundaries_8Way_512x512_8u.raw";
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const std::string& SegmentBoundariesOutputFile2 = "Rocks_SegmentBoundaries_8Way_512x512_8u.raw";
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const std::string& SegmentsWithContrastingBoundariesOutputFile0 = "teapot_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
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const std::string& SegmentsWithContrastingBoundariesOutputFile1 = "CT_skull_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
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const std::string& SegmentsWithContrastingBoundariesOutputFile2 = "Rocks_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
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const std::string& CompressedSegmentLabelsOutputFile0 = "teapot_CompressedSegmentLabels_8Way_512x512_32u.raw";
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const std::string& CompressedSegmentLabelsOutputFile1 = "CT_skull_CompressedSegmentLabels_8Way_512x512_32u.raw";
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const std::string& CompressedSegmentLabelsOutputFile2 = "Rocks_CompressedSegmentLabels_8Way_512x512_32u.raw";
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int
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loadRaw8BitImage(Npp8u * pImage, int nWidth, int nHeight, int nImage)
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{
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FILE * bmpFile;
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size_t nSize;
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if (nImage == 0)
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{
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if (nWidth != 512 || nHeight != 512)
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return -1;
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const char* fileName = "teapot_512x512_8u_Gray.raw";
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const char* InputFile = sdkFindFilePath(fileName, ".");
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if (InputFile == NULL)
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{
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printf("%s file not found.. exiting\n", fileName);
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exit(EXIT_WAIVED);
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}
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bmpFile = fopen(InputFile, "rb");
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}
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else if (nImage == 1)
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{
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if (nWidth != 512 || nHeight != 512)
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return -1;
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const char* fileName = "CT_skull_512x512_8u_Gray.raw";
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const char* InputFile = sdkFindFilePath(fileName, ".");
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if (InputFile == NULL)
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{
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printf("%s file not found.. exiting\n", fileName);
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exit(EXIT_WAIVED);
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}
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bmpFile = fopen(InputFile, "rb");
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}
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else if (nImage == 2)
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{
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if (nWidth != 512 || nHeight != 512)
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return -1;
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const char* fileName = "Rocks_512x512_8u_Gray.raw";
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const char* InputFile = sdkFindFilePath(fileName, ".");
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if (InputFile == NULL)
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{
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printf("%s file not found.. exiting\n", fileName);
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exit(EXIT_WAIVED);
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}
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bmpFile = fopen(InputFile, "rb");
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}
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else
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{
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printf ("Input file load failed.\n");
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return -1;
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}
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if (bmpFile == NULL)
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{
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printf ("Input file load failed.\n");
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return -1;
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}
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nSize = fread(pImage, 1, nWidth * nHeight, bmpFile);
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if (nSize < nWidth * nHeight)
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{
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printf ("Input file load failed.\n");
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fclose(bmpFile);
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return -1;
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}
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fclose(bmpFile);
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printf ("Input file load succeeded.\n");
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return 0;
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}
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int
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main( int argc, char** argv )
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{
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int aSegmentationScratchBufferSize[NUMBER_OF_IMAGES];
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int aSegmentLabelsOutputBufferSize[NUMBER_OF_IMAGES];
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cudaError_t cudaError;
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NppStatus nppStatus;
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NppStreamContext nppStreamCtx;
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FILE * bmpFile;
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NppiNorm eNorm = nppiNormInf; // default to 8 way neighbor search
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for (int j = 0; j < NUMBER_OF_IMAGES; j++)
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{
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pInputImageDev[j] = 0;
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pInputImageHost[j] = 0;
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pSegmentationScratchBufferDev[j] = 0;
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pSegmentLabelsOutputBufferDev[j] = 0;
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pSegmentLabelsOutputBufferHost[j] = 0;
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pSegmentsDev[j] = 0;
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pSegmentsHost[j] = 0;
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}
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nppStreamCtx.hStream = 0; // The NULL stream by default, set this to whatever your stream ID is if not the NULL stream.
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cudaError = cudaGetDevice(&nppStreamCtx.nCudaDeviceId);
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if (cudaError != cudaSuccess)
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{
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printf("CUDA error: no devices supporting CUDA.\n");
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return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
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}
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const NppLibraryVersion *libVer = nppGetLibVersion();
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printf("NPP Library Version %d.%d.%d\n", libVer->major, libVer->minor, 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, (driverVersion%100)/10);
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printf("CUDA Runtime Version: %d.%d\n\n", runtimeVersion/1000, (runtimeVersion%100)/10);
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cudaError = cudaDeviceGetAttribute(&nppStreamCtx.nCudaDevAttrComputeCapabilityMajor,
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cudaDevAttrComputeCapabilityMajor,
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nppStreamCtx.nCudaDeviceId);
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if (cudaError != cudaSuccess)
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return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
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cudaError = cudaDeviceGetAttribute(&nppStreamCtx.nCudaDevAttrComputeCapabilityMinor,
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cudaDevAttrComputeCapabilityMinor,
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nppStreamCtx.nCudaDeviceId);
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if (cudaError != cudaSuccess)
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return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
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cudaError = cudaStreamGetFlags(nppStreamCtx.hStream, &nppStreamCtx.nStreamFlags);
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cudaDeviceProp oDeviceProperties;
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cudaError = cudaGetDeviceProperties(&oDeviceProperties, nppStreamCtx.nCudaDeviceId);
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nppStreamCtx.nMultiProcessorCount = oDeviceProperties.multiProcessorCount;
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nppStreamCtx.nMaxThreadsPerMultiProcessor = oDeviceProperties.maxThreadsPerMultiProcessor;
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nppStreamCtx.nMaxThreadsPerBlock = oDeviceProperties.maxThreadsPerBlock;
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nppStreamCtx.nSharedMemPerBlock = oDeviceProperties.sharedMemPerBlock;
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NppiSize oSizeROI[NUMBER_OF_IMAGES];
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for (int nImage = 0; nImage < NUMBER_OF_IMAGES; nImage++)
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{
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if (nImage == 0)
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{
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oSizeROI[nImage].width = 512;
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oSizeROI[nImage].height = 512;
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}
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else if (nImage == 1)
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{
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oSizeROI[nImage].width = 512;
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oSizeROI[nImage].height = 512;
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}
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else if (nImage == 2)
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{
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oSizeROI[nImage].width = 512;
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oSizeROI[nImage].height = 512;
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}
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// cudaMallocPitch OR cudaMalloc can be used here, in this sample case width == pitch.
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cudaError = cudaMalloc ((void**)&pInputImageDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u) * oSizeROI[nImage].height);
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if (cudaError != cudaSuccess)
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return NPP_MEMORY_ALLOCATION_ERR;
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cudaError = cudaMalloc ((void**)&pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height);
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if (cudaError != cudaSuccess)
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return NPP_MEMORY_ALLOCATION_ERR;
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pInputImageHost[nImage] = reinterpret_cast<Npp8u *>(malloc(oSizeROI[nImage].width * sizeof(Npp8u) * oSizeROI[nImage].height));
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pSegmentsHost[nImage] = reinterpret_cast<Npp8u *>(malloc(oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height));
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nppStatus = nppiSegmentWatershedGetBufferSize_8u_C1R(oSizeROI[nImage], &aSegmentationScratchBufferSize[nImage]);
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cudaError = cudaMalloc ((void **)&pSegmentationScratchBufferDev[nImage], aSegmentationScratchBufferSize[nImage]);
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if (cudaError != cudaSuccess)
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return NPP_MEMORY_ALLOCATION_ERR;
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// Output label marker buffers are only needed if you want to same the generated segmentation labels, they ARE compatible with NPP UF generated labels.
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// Requesting segmentation output may slightly decrease segmentation function performance. Regardless of the pitch of the segmentation image
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// the segment labels output buffer will have a pitch of oSizeROI[nImage].width * sizeof(Npp32u).
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aSegmentLabelsOutputBufferSize[nImage] = oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height;
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cudaError = cudaMalloc ((void **)&pSegmentLabelsOutputBufferDev[nImage], aSegmentLabelsOutputBufferSize[nImage]);
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if (cudaError != cudaSuccess)
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return NPP_MEMORY_ALLOCATION_ERR;
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pSegmentLabelsOutputBufferHost[nImage] = reinterpret_cast<Npp32u *>(malloc(oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height));
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if (loadRaw8BitImage(pInputImageHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height, nImage) == 0)
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{
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cudaError = cudaMemcpy2DAsync(pInputImageDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
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oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
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cudaMemcpyHostToDevice, nppStreamCtx.hStream);
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// Make a second copy of the unaltered input image since this function works in place and we want to reuse the input image multiple times.
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cudaError = cudaMemcpy2DAsync(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
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oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
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cudaMemcpyHostToDevice, nppStreamCtx.hStream);
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nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
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pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), eNorm,
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NPP_WATERSHED_SEGMENT_BOUNDARIES_NONE, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
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if (nppStatus != NPP_SUCCESS)
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{
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if (nImage == 0)
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printf("Lena segments 8Way 512x512 8u failed.\n");
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else if (nImage == 1)
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printf("CT skull segments 8Way 512x512 8u failed.\n");
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else if (nImage == 2)
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printf("Rocks segments 8Way 512x512 8u failed.\n");
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tearDown();
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return -1;
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}
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// Now compress the label markers output to make them easier to view.
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int nCompressedLabelsScratchBufferSize;
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Npp8u * pCompressedLabelsScratchBufferDev;
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nppStatus = nppiCompressMarkerLabelsGetBufferSize_32u_C1R(oSizeROI[nImage].width * oSizeROI[nImage].height, &nCompressedLabelsScratchBufferSize);
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if (nppStatus != NPP_NO_ERROR)
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return nppStatus;
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cudaError = cudaMalloc ((void **)&pCompressedLabelsScratchBufferDev, nCompressedLabelsScratchBufferSize);
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if (cudaError != cudaSuccess)
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return NPP_MEMORY_ALLOCATION_ERR;
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int nCompressedLabelCount = 0;
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nppStatus = nppiCompressMarkerLabelsUF_32u_C1IR(pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage],
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oSizeROI[nImage].width * oSizeROI[nImage].height, &nCompressedLabelCount,
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pCompressedLabelsScratchBufferDev);
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if (nppStatus != NPP_SUCCESS)
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{
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if (nImage == 0)
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printf("teapot_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
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else if (nImage == 1)
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printf("CT_Skull_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
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else if (nImage == 2)
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printf("Rocks_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
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tearDown();
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return -1;
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}
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// Copy segmented image to host
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cudaError = cudaMemcpy2DAsync(pSegmentsHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
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pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
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cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
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// Copy segment labels image to host
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cudaError = cudaMemcpy2DAsync(pSegmentLabelsOutputBufferHost[nImage], oSizeROI[nImage].width * sizeof(Npp32u),
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pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage].height,
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cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
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// Wait host image read backs to complete, not necessary if no need to synchronize
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if ((cudaError = cudaStreamSynchronize(nppStreamCtx.hStream)) != cudaSuccess)
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{
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printf ("Post segmentation cudaStreamSynchronize failed\n");
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tearDown();
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return -1;
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}
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// Free single image scratch buffer
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cudaFree(pCompressedLabelsScratchBufferDev);
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// Save default segments file.
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if (nImage == 0)
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bmpFile = fopen(SegmentsOutputFile0.c_str(), "wb");
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else if (nImage == 1)
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bmpFile = fopen(SegmentsOutputFile1.c_str(), "wb");
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else if (nImage == 2)
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bmpFile = fopen(SegmentsOutputFile2.c_str(), "wb");
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if (bmpFile == NULL)
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return -1;
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size_t nSize = 0;
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for (int j = 0; j < oSizeROI[nImage].height; j++)
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{
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nSize += fwrite(&pSegmentsHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp8u), oSizeROI[nImage].width, bmpFile);
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}
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fclose(bmpFile);
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if (nImage == 0)
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printf("teapot_Segments_8Way_512x512_8u succeeded.\n");
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else if (nImage == 1)
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printf("CT_Skull_Segments_8Way_512x512_8u succeeded.\n");
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else if (nImage == 2)
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printf("Rocks_Segments_8Way_512x512_8u succeeded.\n");
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// Save segment labels file.
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if (nImage == 0)
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bmpFile = fopen(CompressedSegmentLabelsOutputFile0.c_str(), "wb");
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else if (nImage == 1)
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bmpFile = fopen(CompressedSegmentLabelsOutputFile1.c_str(), "wb");
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else if (nImage == 2)
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bmpFile = fopen(CompressedSegmentLabelsOutputFile2.c_str(), "wb");
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if (bmpFile == NULL)
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return -1;
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nSize = 0;
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for (int j = 0; j < oSizeROI[nImage].height; j++)
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{
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nSize += fwrite(&pSegmentLabelsOutputBufferHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp32u), oSizeROI[nImage].width, bmpFile);
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}
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fclose(bmpFile);
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if (nImage == 0)
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printf("teapot_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
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else if (nImage == 1)
|
|
printf("CT_Skull_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
|
|
else if (nImage == 2)
|
|
printf("Rocks_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
|
|
|
|
// Now generate a segment boundaries only output image
|
|
|
|
// Make a second copy of the unaltered input image since this function works in place and we want to reuse the input image multiple times.
|
|
cudaError = cudaMemcpy2DAsync(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
|
|
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
|
|
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
|
|
|
|
// We already generated segment labels images to skip that this time
|
|
nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
|
|
0, 0, eNorm,
|
|
NPP_WATERSHED_SEGMENT_BOUNDARIES_ONLY, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
|
|
|
|
if (nppStatus != NPP_SUCCESS)
|
|
{
|
|
if (nImage == 0)
|
|
printf("Lena segment boundaries 8Way 512x512 8u failed.\n");
|
|
else if (nImage == 1)
|
|
printf("CT skull segment boundaries 8Way 512x512 8u failed.\n");
|
|
else if (nImage == 2)
|
|
printf("Rocks segment boundaries 8Way 512x512 8u failed.\n");
|
|
tearDown();
|
|
return -1;
|
|
}
|
|
|
|
// Copy segment boundaries image to host
|
|
cudaError = cudaMemcpy2DAsync(pSegmentsHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
|
|
pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
|
|
cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
|
|
|
|
// Wait host image read backs to complete, not necessary if no need to synchronize
|
|
if ((cudaError = cudaStreamSynchronize(nppStreamCtx.hStream)) != cudaSuccess)
|
|
{
|
|
printf ("Post segmentation cudaStreamSynchronize failed\n");
|
|
tearDown();
|
|
return -1;
|
|
}
|
|
|
|
if (nImage == 0)
|
|
bmpFile = fopen(SegmentBoundariesOutputFile0.c_str(), "wb");
|
|
else if (nImage == 1)
|
|
bmpFile = fopen(SegmentBoundariesOutputFile1.c_str(), "wb");
|
|
else if (nImage == 2)
|
|
bmpFile = fopen(SegmentBoundariesOutputFile2.c_str(), "wb");
|
|
|
|
if (bmpFile == NULL)
|
|
return -1;
|
|
nSize = 0;
|
|
for (int j = 0; j < oSizeROI[nImage].height; j++)
|
|
{
|
|
nSize += fwrite(&pSegmentsHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp8u), oSizeROI[nImage].width, bmpFile);
|
|
}
|
|
fclose(bmpFile);
|
|
|
|
if (nImage == 0)
|
|
printf("teapot_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
|
|
else if (nImage == 1)
|
|
printf("CT_Skull_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
|
|
else if (nImage == 2)
|
|
printf("Rocks_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
|
|
|
|
// Now generate a segmented with contrasting boundaries output image
|
|
|
|
// Make a second copy of the unaltered input image since this function works in place and we want to reuse the input image multiple times.
|
|
cudaError = cudaMemcpy2DAsync(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
|
|
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
|
|
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
|
|
|
|
// We already generated segment labels images to skip that this time
|
|
nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
|
|
0, 0, eNorm,
|
|
NPP_WATERSHED_SEGMENT_BOUNDARIES_CONTRAST, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
|
|
|
|
if (nppStatus != NPP_SUCCESS)
|
|
{
|
|
if (nImage == 0)
|
|
printf("Lena segments with contrasting boundaries 8Way 512x512 8u failed.\n");
|
|
else if (nImage == 1)
|
|
printf("CT skull segments with contrasting boundaries 8Way 512x512 8u failed.\n");
|
|
else if (nImage == 2)
|
|
printf("Rocks segments with contrasting boundaries 8Way 512x512 8u failed.\n");
|
|
tearDown();
|
|
return -1;
|
|
}
|
|
|
|
// Copy segment boundaries image to host
|
|
cudaError = cudaMemcpy2DAsync(pSegmentsHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
|
|
pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
|
|
cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
|
|
|
|
// Wait host image read backs to complete, not necessary if no need to synchronize
|
|
if ((cudaError = cudaStreamSynchronize(nppStreamCtx.hStream)) != cudaSuccess)
|
|
{
|
|
printf ("Post segmentation cudaStreamSynchronize failed\n");
|
|
tearDown();
|
|
return -1;
|
|
}
|
|
|
|
if (nImage == 0)
|
|
bmpFile = fopen(SegmentsWithContrastingBoundariesOutputFile0.c_str(), "wb");
|
|
else if (nImage == 1)
|
|
bmpFile = fopen(SegmentsWithContrastingBoundariesOutputFile1.c_str(), "wb");
|
|
else if (nImage == 2)
|
|
bmpFile = fopen(SegmentsWithContrastingBoundariesOutputFile2.c_str(), "wb");
|
|
|
|
if (bmpFile == NULL)
|
|
return -1;
|
|
nSize = 0;
|
|
for (int j = 0; j < oSizeROI[nImage].height; j++)
|
|
{
|
|
nSize += fwrite(&pSegmentsHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp8u), oSizeROI[nImage].width, bmpFile);
|
|
}
|
|
fclose(bmpFile);
|
|
|
|
if (nImage == 0)
|
|
printf("teapot_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
|
|
else if (nImage == 1)
|
|
printf("CT_Skull_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
|
|
else if (nImage == 2)
|
|
printf("Rocks_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
|
|
}
|
|
}
|
|
|
|
tearDown();
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
|