Merge pull request #34 from MattiaMontanari/33-error-using-mex-matlab-under-linux
Build mex on linuxfixes-turtlebasket
commit
7a018a3c60
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@ -38,10 +38,10 @@ end
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% TRY COMPILING MEX FILE
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fprintf('Compiling mex function... ')
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try
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mex(fullfile('..','..','src','openGJK.c'),... % Source of openGJK
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mex(fullfile('..','..','openGJK.c'),... % Source of openGJK
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'-largeArrayDims', ... % Support large arrays
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optflug, ... % Compiler flag for debug/optimisation
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fullfile('-I..','..','include'),... % Folder to header files
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fullfile('-I','..','..','include'),... % Folder to header files
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'-outdir', pwd, ... % Ouput directory for writing mex function
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'-output', 'openGJK',... % Name of ouput mex file
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'-DMATLAB_MEX_BUILD',... % Define variable for mex function in source files
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@ -730,7 +730,7 @@ void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
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nCoordsB = mxGetN(prhs[1]);
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/* Create output */
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plhs[0] = mxCreategkFloatMatrix(1, 1, mxREAL);
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plhs[0] = mxCreateDoubleMatrix(1, 1, mxREAL);
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/* get a pointer to the real data in the output matrix */
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distance = mxGetPr(plhs[0]);
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@ -763,7 +763,7 @@ void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
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s.nvrtx = 0;
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/* Compute squared distance using GJK algorithm */
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distance[0] = gjk(bd1, bd2, &s);
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distance[0] = compute_minimum_distance(bd1, bd2, &s);
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mxFree(arr1);
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mxFree(arr2);
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