NASP/cuda-samples
35
0
Fork 0
mirror of https://github.com/NVIDIA/cuda-samples.git synced 2024-11-25 04:49:14 +08:00
Code Issues Packages Projects Releases Wiki Activity
fc06e3de18
cuda-samples/Samples/4_CUDA_Libraries/watershedSegmentationNPP/watershedSegmentationNPP.cpp

545 lines
25 KiB
C++
Raw Normal View History

add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
*
* 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 <windows.h>
# pragma warning(disable:4819)
#endif
#include <stdio.h>
#include <string.h>
#include <fstream>
#include <npp.h>
#include <helper_cuda.h>
// Note: If you want to view these images we HIGHLY recommend using imagej which is free on the internet and works on most platforms
// because it is one of the few image viewing apps that can display 32 bit integer image data. While it normalizes the data
// to floating point values for viewing it still provides a good representation of the relative brightness of each label value.
//
// The files read and written by this sample app use RAW image format, that is, only the image data itself exists in the files
// with no image format information. When viewing RAW files with imagej just enter the image size and bit depth values that
// are part of the file name when requested by imagej.
//
#define NUMBER_OF_IMAGES 3
Npp8u * pInputImageDev[NUMBER_OF_IMAGES];
Npp8u * pInputImageHost[NUMBER_OF_IMAGES];
Npp8u * pSegmentationScratchBufferDev[NUMBER_OF_IMAGES];
Npp8u * pSegmentsDev[NUMBER_OF_IMAGES];
Npp8u * pSegmentsHost[NUMBER_OF_IMAGES];
Npp32u * pSegmentLabelsOutputBufferDev[NUMBER_OF_IMAGES];
Npp32u * pSegmentLabelsOutputBufferHost[NUMBER_OF_IMAGES];
void tearDown() // Clean up and tear down
{
for (int j = 0; j < NUMBER_OF_IMAGES; j++)
{
if (pSegmentLabelsOutputBufferDev[j] != 0)
cudaFree(pSegmentLabelsOutputBufferDev[j]);
if (pSegmentationScratchBufferDev[j] != 0)
cudaFree(pSegmentationScratchBufferDev[j]);
if (pSegmentsDev[j] != 0)
cudaFree(pSegmentsDev[j]);
if (pInputImageDev[j] != 0)
cudaFree(pInputImageDev[j]);
if (pSegmentLabelsOutputBufferHost[j] != 0)
free(pSegmentLabelsOutputBufferHost[j]);
if (pSegmentsHost[j] != 0)
free(pSegmentsHost[j]);
if (pInputImageHost[j] != 0)
free(pInputImageHost[j]);
}
}
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
const std::string& SegmentsOutputFile0 = "teapot_Segments_8Way_512x512_8u.raw";
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
const std::string& SegmentsOutputFile1 = "CT_skull_Segments_8Way_512x512_8u.raw";
const std::string& SegmentsOutputFile2 = "Rocks_Segments_8Way_512x512_8u.raw";
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
const std::string& SegmentBoundariesOutputFile0 = "teapot_SegmentBoundaries_8Way_512x512_8u.raw";
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
const std::string& SegmentBoundariesOutputFile1 = "CT_skull_SegmentBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentBoundariesOutputFile2 = "Rocks_SegmentBoundaries_8Way_512x512_8u.raw";
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
const std::string& SegmentsWithContrastingBoundariesOutputFile0 = "teapot_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
const std::string& SegmentsWithContrastingBoundariesOutputFile1 = "CT_skull_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentsWithContrastingBoundariesOutputFile2 = "Rocks_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
const std::string& CompressedSegmentLabelsOutputFile0 = "teapot_CompressedSegmentLabels_8Way_512x512_32u.raw";
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
const std::string& CompressedSegmentLabelsOutputFile1 = "CT_skull_CompressedSegmentLabels_8Way_512x512_32u.raw";
const std::string& CompressedSegmentLabelsOutputFile2 = "Rocks_CompressedSegmentLabels_8Way_512x512_32u.raw";
int
loadRaw8BitImage(Npp8u * pImage, int nWidth, int nHeight, int nImage)
{
FILE * bmpFile;
size_t nSize;
if (nImage == 0)
{
if (nWidth != 512 || nHeight != 512)
return -1;
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
const char* fileName = "teapot_512x512_8u_Gray.raw";
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
const char* InputFile = sdkFindFilePath(fileName, ".");
if (InputFile == NULL)
{
printf("%s file not found.. exiting\n", fileName);
exit(EXIT_WAIVED);
}
bmpFile = fopen(InputFile, "rb");
}
else if (nImage == 1)
{
if (nWidth != 512 || nHeight != 512)
return -1;
const char* fileName = "CT_skull_512x512_8u_Gray.raw";
const char* InputFile = sdkFindFilePath(fileName, ".");
if (InputFile == NULL)
{
printf("%s file not found.. exiting\n", fileName);
exit(EXIT_WAIVED);
}
bmpFile = fopen(InputFile, "rb");
}
else if (nImage == 2)
{
if (nWidth != 512 || nHeight != 512)
return -1;
const char* fileName = "Rocks_512x512_8u_Gray.raw";
const char* InputFile = sdkFindFilePath(fileName, ".");
if (InputFile == NULL)
{
printf("%s file not found.. exiting\n", fileName);
exit(EXIT_WAIVED);
}
bmpFile = fopen(InputFile, "rb");
}
else
{
printf ("Input file load failed.\n");
return -1;
}
if (bmpFile == NULL)
{
printf ("Input file load failed.\n");
return -1;
}
nSize = fread(pImage, 1, nWidth * nHeight, bmpFile);
if (nSize < nWidth * nHeight)
{
printf ("Input file load failed.\n");
fclose(bmpFile);
return -1;
}
fclose(bmpFile);
printf ("Input file load succeeded.\n");
return 0;
}
int
main( int argc, char** argv )
{
int aSegmentationScratchBufferSize[NUMBER_OF_IMAGES];
int aSegmentLabelsOutputBufferSize[NUMBER_OF_IMAGES];
cudaError_t cudaError;
NppStatus nppStatus;
NppStreamContext nppStreamCtx;
FILE * bmpFile;
NppiNorm eNorm = nppiNormInf; // default to 8 way neighbor search
for (int j = 0; j < NUMBER_OF_IMAGES; j++)
{
pInputImageDev[j] = 0;
pInputImageHost[j] = 0;
pSegmentationScratchBufferDev[j] = 0;
pSegmentLabelsOutputBufferDev[j] = 0;
pSegmentLabelsOutputBufferHost[j] = 0;
pSegmentsDev[j] = 0;
pSegmentsHost[j] = 0;
}
nppStreamCtx.hStream = 0; // The NULL stream by default, set this to whatever your stream ID is if not the NULL stream.
cudaError = cudaGetDevice(&nppStreamCtx.nCudaDeviceId);
if (cudaError != cudaSuccess)
{
printf("CUDA error: no devices supporting CUDA.\n");
return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
}
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\n", runtimeVersion/1000, (runtimeVersion%100)/10);
cudaError = cudaDeviceGetAttribute(&nppStreamCtx.nCudaDevAttrComputeCapabilityMajor,
cudaDevAttrComputeCapabilityMajor,
nppStreamCtx.nCudaDeviceId);
if (cudaError != cudaSuccess)
return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
cudaError = cudaDeviceGetAttribute(&nppStreamCtx.nCudaDevAttrComputeCapabilityMinor,
cudaDevAttrComputeCapabilityMinor,
nppStreamCtx.nCudaDeviceId);
if (cudaError != cudaSuccess)
return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
cudaError = cudaStreamGetFlags(nppStreamCtx.hStream, &nppStreamCtx.nStreamFlags);
cudaDeviceProp oDeviceProperties;
cudaError = cudaGetDeviceProperties(&oDeviceProperties, nppStreamCtx.nCudaDeviceId);
nppStreamCtx.nMultiProcessorCount = oDeviceProperties.multiProcessorCount;
nppStreamCtx.nMaxThreadsPerMultiProcessor = oDeviceProperties.maxThreadsPerMultiProcessor;
nppStreamCtx.nMaxThreadsPerBlock = oDeviceProperties.maxThreadsPerBlock;
nppStreamCtx.nSharedMemPerBlock = oDeviceProperties.sharedMemPerBlock;
NppiSize oSizeROI[NUMBER_OF_IMAGES];
for (int nImage = 0; nImage < NUMBER_OF_IMAGES; nImage++)
{
if (nImage == 0)
{
oSizeROI[nImage].width = 512;
oSizeROI[nImage].height = 512;
}
else if (nImage == 1)
{
oSizeROI[nImage].width = 512;
oSizeROI[nImage].height = 512;
}
else if (nImage == 2)
{
oSizeROI[nImage].width = 512;
oSizeROI[nImage].height = 512;
}
// cudaMallocPitch OR cudaMalloc can be used here, in this sample case width == pitch.
cudaError = cudaMalloc ((void**)&pInputImageDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u) * oSizeROI[nImage].height);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
cudaError = cudaMalloc ((void**)&pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
pInputImageHost[nImage] = reinterpret_cast<Npp8u *>(malloc(oSizeROI[nImage].width * sizeof(Npp8u) * oSizeROI[nImage].height));
pSegmentsHost[nImage] = reinterpret_cast<Npp8u *>(malloc(oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height));
nppStatus = nppiSegmentWatershedGetBufferSize_8u_C1R(oSizeROI[nImage], &aSegmentationScratchBufferSize[nImage]);
cudaError = cudaMalloc ((void **)&pSegmentationScratchBufferDev[nImage], aSegmentationScratchBufferSize[nImage]);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
// Output label marker buffers are only needed if you want to same the generated segmentation labels, they ARE compatible with NPP UF generated labels.
// Requesting segmentation output may slightly decrease segmentation function performance. Regardless of the pitch of the segmentation image
// the segment labels output buffer will have a pitch of oSizeROI[nImage].width * sizeof(Npp32u).
aSegmentLabelsOutputBufferSize[nImage] = oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height;
cudaError = cudaMalloc ((void **)&pSegmentLabelsOutputBufferDev[nImage], aSegmentLabelsOutputBufferSize[nImage]);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
pSegmentLabelsOutputBufferHost[nImage] = reinterpret_cast<Npp32u *>(malloc(oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height));
if (loadRaw8BitImage(pInputImageHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height, nImage) == 0)
{
cudaError = cudaMemcpy2DAsync(pInputImageDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
// 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);
nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), eNorm,
NPP_WATERSHED_SEGMENT_BOUNDARIES_NONE, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
if (nppStatus != NPP_SUCCESS)
{
if (nImage == 0)
printf("Lena segments 8Way 512x512 8u failed.\n");
else if (nImage == 1)
printf("CT skull segments 8Way 512x512 8u failed.\n");
else if (nImage == 2)
printf("Rocks segments 8Way 512x512 8u failed.\n");
tearDown();
return -1;
}
// Now compress the label markers output to make them easier to view.
int nCompressedLabelsScratchBufferSize;
Npp8u * pCompressedLabelsScratchBufferDev;
nppStatus = nppiCompressMarkerLabelsGetBufferSize_32u_C1R(oSizeROI[nImage].width * oSizeROI[nImage].height, &nCompressedLabelsScratchBufferSize);
if (nppStatus != NPP_NO_ERROR)
return nppStatus;
cudaError = cudaMalloc ((void **)&pCompressedLabelsScratchBufferDev, nCompressedLabelsScratchBufferSize);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
int nCompressedLabelCount = 0;
nppStatus = nppiCompressMarkerLabelsUF_32u_C1IR(pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage],
oSizeROI[nImage].width * oSizeROI[nImage].height, &nCompressedLabelCount,
pCompressedLabelsScratchBufferDev);
if (nppStatus != NPP_SUCCESS)
{
if (nImage == 0)
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
printf("teapot_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
else if (nImage == 1)
printf("CT_Skull_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
else if (nImage == 2)
printf("Rocks_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
tearDown();
return -1;
}
// Copy segmented 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);
// Copy segment labels image to host
cudaError = cudaMemcpy2DAsync(pSegmentLabelsOutputBufferHost[nImage], oSizeROI[nImage].width * sizeof(Npp32u),
pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage].width * sizeof(Npp32u), 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;
}
// Free single image scratch buffer
cudaFree(pCompressedLabelsScratchBufferDev);
// Save default segments file.
if (nImage == 0)
bmpFile = fopen(SegmentsOutputFile0.c_str(), "wb");
else if (nImage == 1)
bmpFile = fopen(SegmentsOutputFile1.c_str(), "wb");
else if (nImage == 2)
bmpFile = fopen(SegmentsOutputFile2.c_str(), "wb");
if (bmpFile == NULL)
return -1;
size_t 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)
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
printf("teapot_Segments_8Way_512x512_8u succeeded.\n");
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
else if (nImage == 1)
printf("CT_Skull_Segments_8Way_512x512_8u succeeded.\n");
else if (nImage == 2)
printf("Rocks_Segments_8Way_512x512_8u succeeded.\n");
// Save segment labels file.
if (nImage == 0)
bmpFile = fopen(CompressedSegmentLabelsOutputFile0.c_str(), "wb");
else if (nImage == 1)
bmpFile = fopen(CompressedSegmentLabelsOutputFile1.c_str(), "wb");
else if (nImage == 2)
bmpFile = fopen(CompressedSegmentLabelsOutputFile2.c_str(), "wb");
if (bmpFile == NULL)
return -1;
nSize = 0;
for (int j = 0; j < oSizeROI[nImage].height; j++)
{
nSize += fwrite(&pSegmentLabelsOutputBufferHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp32u), oSizeROI[nImage].width, bmpFile);
}
fclose(bmpFile);
if (nImage == 0)
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
printf("teapot_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
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)
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
printf("teapot_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
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)
add and update samples for CUDA 11.6
2022-01-13 14:05:24 +08:00
printf("teapot_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
Add and update samples for cuda 11.1 support
2020-09-16 02:15:56 +08:00
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;
}
Reference in New Issue Copy Permalink