using std::mt19937
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@ -35,6 +35,7 @@ sampling strategies (montecarlo, stratified etc).
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#ifndef __VCGLIB_POINT_SAMPLING
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#define __VCGLIB_POINT_SAMPLING
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#include <random>
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#include <vcg/math/random_generator.h>
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#include <vcg/complex/algorithms/closest.h>
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@ -501,18 +502,6 @@ static unsigned int RandomInt(unsigned int i)
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return (SamplingRandomGenerator().generate(i));
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}
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class MarsenneTwisterURBG
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{
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public:
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typedef unsigned int result_type;
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MarsenneTwisterURBG(result_type max) : _max(max) {}
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result_type min() const {return 0;}
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result_type max() const {return _max;}
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result_type operator()() {return SamplingRandomGenerator().generate(_max);}
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private:
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result_type _max;
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};
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// Returns a random number in the [0,1) real interval using the improved Marsenne-Twister method.
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static double RandomDouble01()
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{
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@ -725,7 +714,9 @@ static void FillAndShuffleFacePointerVector(MeshType & m, std::vector<FacePointe
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assert((int)faceVec.size()==m.fn);
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//unsigned int (*p_myrandom)(unsigned int) = RandomInt;
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std::shuffle(faceVec.begin(),faceVec.end(), MarsenneTwisterURBG((unsigned int)faceVec.size()));
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(faceVec.begin(),faceVec.end(), g);
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}
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static void FillAndShuffleVertexPointerVector(MeshType & m, std::vector<VertexPointer> &vertVec)
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{
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@ -735,7 +726,9 @@ static void FillAndShuffleVertexPointerVector(MeshType & m, std::vector<VertexPo
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assert((int)vertVec.size()==m.vn);
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//unsigned int (*p_myrandom)(unsigned int) = RandomInt;
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std::shuffle(vertVec.begin(),vertVec.end(), MarsenneTwisterURBG((unsigned int)vertVec.size()));
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(vertVec.begin(),vertVec.end(), g);
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}
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/// Sample the vertices in a uniform way. Each vertex has the same probabiltiy of being chosen.
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@ -1941,7 +1934,9 @@ static void PoissonDiskPruning(VertexSampler &ps, MeshType &montecarloMesh,
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InitRadiusHandleFromQuality(montecarloMesh, rH, diskRadius, pp.radiusVariance, pp.invertQuality);
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//unsigned int (*p_myrandom)(unsigned int) = RandomInt;
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std::shuffle(montecarloSHT.AllocatedCells.begin(),montecarloSHT.AllocatedCells.end(), MarsenneTwisterURBG((unsigned int)montecarloSHT.AllocatedCells.size()));
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(montecarloSHT.AllocatedCells.begin(),montecarloSHT.AllocatedCells.end(), g);
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int t1 = clock();
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pp.pds.montecarloSampleNum = montecarloMesh.vn;
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pp.pds.sampleNum =0;
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@ -2075,12 +2070,14 @@ static void HierarchicalPoissonDisk(MeshType &origMesh, VertexSampler &ps, MeshT
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}
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// shuffle active cells
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//unsigned int (*p_myrandom)(unsigned int) = RandomInt;
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std::shuffle(montecarloSHT.AllocatedCells.begin(),montecarloSHT.AllocatedCells.end(), MarsenneTwisterURBG((unsigned int)montecarloSHT.AllocatedCells.size()));
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std::random_device rd;
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std::mt19937 g(rd());
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std::shuffle(montecarloSHT.AllocatedCells.begin(),montecarloSHT.AllocatedCells.end(), g);
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// generate a sample inside C by choosing one of the contained pre-generated samples
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//////////////////////////////////////////////////////////////////////////////////////////
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int removedCnt=montecarloSHT.hash_table.size();
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int addedCnt=checkSHT.hash_table.size();
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int removedCnt=montecarloSHT.hash_table.size();
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int addedCnt=checkSHT.hash_table.size();
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for (int i = 0; i < montecarloSHT.AllocatedCells.size(); i++)
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{
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for(int j=0;j<4;j++)
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