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Add CUDA implementation of FBP filtering
* Modified and added Matlab files
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/*------------------------------------------------------------------------- | ||
* | ||
* MATLAB MEX functions for convolution. Check inputs and parses | ||
* MATLAB data to C++ data. | ||
* | ||
* | ||
* CODE by Tomoyuki SADAKANE | ||
* | ||
--------------------------------------------------------------------------- | ||
--------------------------------------------------------------------------- | ||
Copyright (c) 2015, University of Bath and CERN- European Organization for | ||
Nuclear Research | ||
All rights reserved. | ||
Redistribution and use in source and binary forms, with or without | ||
modification, are permitted provided that the following conditions are met: | ||
1. Redistributions of source code must retain the above copyright notice, | ||
this list of conditions and the following disclaimer. | ||
2. 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. | ||
3. Neither the name of the copyright holder 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 AND CONTRIBUTORS "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 HOLDER 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. | ||
--------------------------------------------------------------------------- | ||
Contact: [email protected] | ||
Codes : https://github.com/CERN/TIGRE | ||
--------------------------------------------------------------------------- | ||
*/ | ||
|
||
#include <math.h> | ||
#include <string.h> | ||
#include <tmwtypes.h> | ||
#include <mex.h> | ||
#include <matrix.h> | ||
#include <CUDA/FbpFiltration.hpp> | ||
#include <CUDA/GpuIds.hpp> | ||
#include <CUDA/gpuUtils.hpp> | ||
/** | ||
* MEX gateway | ||
* ApplyFbpFiltration(mat2dProj, mat1dFlt, "gpuids", gpuids); | ||
*/ | ||
|
||
void mexFunction(int nlhs, mxArray *plhs[], | ||
int nrhs, mxArray const *prhs[]) | ||
{ | ||
GpuIds gpuids; | ||
if (nrhs==4) { | ||
size_t iM = mxGetM(prhs[3]); | ||
if (iM != 1) { | ||
mexErrMsgIdAndTxt( "TIGRE:MEX:ApplyFbpFiltration:unknown","5th parameter must be a row vector."); | ||
return; | ||
} | ||
size_t uiGpuCount = mxGetN(prhs[3]); | ||
if (uiGpuCount == 0) { | ||
mexErrMsgIdAndTxt( "TIGRE:MEX:ApplyFbpFiltration:unknown","5th parameter must be a row vector."); | ||
return; | ||
} | ||
int* piGpuIds = (int*)mxGetData(prhs[3]); | ||
gpuids.SetIds(uiGpuCount, piGpuIds); | ||
} else { | ||
int iGpuCount = GetGpuCount(); | ||
int* piDev = (int*)malloc(iGpuCount * sizeof(int)); | ||
for (int iI = 0; iI < iGpuCount; ++iI) { | ||
piDev[iI] = iI; | ||
} | ||
gpuids.SetIds(iGpuCount, piDev); | ||
free(piDev); piDev = 0; | ||
} | ||
if (nrhs < 2) { | ||
mexErrMsgIdAndTxt("TIGRE:MEX:ApplyFbpFiltration", "At least two input argumet required."); | ||
} else if (nrhs==2 || nrhs==4){ | ||
size_t mrows = mxGetM(prhs[0]); | ||
size_t ncols = mxGetN(prhs[0]); | ||
if (mrows ==1 && ncols ==1) { | ||
mexErrMsgIdAndTxt("TIGRE:MEX:ApplyFbpFiltration", "1st parameter should not be 1x1"); | ||
} | ||
mrows = mxGetM(prhs[1]); | ||
ncols = mxGetN(prhs[1]); | ||
if (mrows==1 || ncols !=1) { | ||
mexErrMsgIdAndTxt("TIGRE:MEX:ApplyFbpFiltration", "2nd parameter should be Mx1 (M>1)"); | ||
} | ||
} else if (nrhs>4) { | ||
mexErrMsgIdAndTxt("TIGRE:MEX:ApplyFbpFiltration", "Too many imput argumets"); | ||
} | ||
/////////////// First input argumet. Projection | ||
mxArray const * const proj = prhs[0]; | ||
float* pfProj = static_cast<float*>(mxGetData(proj)); | ||
const mwSize numDimsProj = mxGetNumberOfDimensions(proj); // get dim of proj | ||
const mwSize *size_proj= mxGetDimensions(proj); //get size of proj | ||
// printf("numDimsProj = %d\n", numDimsProj); | ||
// for (int iI = 0; iI < numDimsProj; ++iI) { | ||
// printf("size_proj[%d] = %d\n", iI, size_proj[iI]); | ||
// } | ||
/////////////// Second input argumet. Filter | ||
const mxArray* filter = prhs[1]; | ||
float* pfFilter = static_cast<float*>(mxGetData(filter)); | ||
const mwSize numDimsFilter = mxGetNumberOfDimensions(filter); // get dim of filter | ||
const mwSize *size_filter= mxGetDimensions(filter); //get size of filter | ||
// printf("numDimsFilter = %d\n", numDimsFilter); | ||
// for (int iI = 0; iI < numDimsFilter; ++iI) { | ||
// printf("size_filter[%d] = %d\n", iI, size_filter[iI]); | ||
// } | ||
if (size_filter[0] != size_proj[0]) { | ||
mexErrMsgIdAndTxt("TIGRE:MEX:ApplyFbpFiltration", "Width of projection must be equal to filter."); | ||
} | ||
////////////// | ||
//prepare outputs | ||
// Allocate output projection | ||
plhs[0] = mxCreateNumericArray(numDimsProj, size_proj, mxSINGLE_CLASS, mxREAL); | ||
float *pfProjOut =(float*) mxGetPr(plhs[0]); | ||
// call CUDA filtering | ||
apply_filtration(pfProj, size_proj[0], size_proj[1], pfFilter, pfProjOut, gpuids); | ||
} |
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