https://github.com/adshhzy/VIPSS
Revision 19e9e0f636c421901ec39d7608cc2fb69f486eb6 authored by adshhzy on 17 April 2019, 05:35:22 UTC, committed by adshhzy on 17 April 2019, 05:35:22 UTC
1 parent 50d6f74
Tip revision: 19e9e0f636c421901ec39d7608cc2fb69f486eb6 authored by adshhzy on 17 April 2019, 05:35:22 UTC
readme
readme
Tip revision: 19e9e0f
rbf_Hermite.cpp
#include "rbfcore.h"
#include "mymesh/utility.h"
#include "Solver.h"
#include <armadillo>
#include <fstream>
#include <limits>
#include <unordered_map>
#include <ctime>
#include <chrono>
#include <iomanip>
#include <algorithm>
#include <queue>
#include "mymesh/readers.h"
#include "mymesh/UnionFind.h"
//#include "mymesh/tinyply.h"
typedef std::chrono::high_resolution_clock Clock;
double randomdouble() {return static_cast <double> (rand()) / static_cast <double> (RAND_MAX);}
double randomdouble(double be,double ed) {return be + randomdouble()*(ed-be); }
void RBF_Core::NormalRecification(double maxlen, vector<double>&nors){
double maxlen_r = -1;
auto p_vn = nors.data();
int np = nors.size()/3;
if(1){
for(int i=0;i<np;++i){
maxlen_r = max(maxlen_r,MyUtility::normVec(p_vn+i*3));
}
cout<<"maxlen_r: "<<maxlen_r<<endl;
double ratio = maxlen / maxlen_r;
for(auto &a:nors)a*=ratio;
}else{
for(int i=0;i<np;++i){
MyUtility::normalize(p_vn+i*3);
}
}
}
bool RBF_Core::Write_Hermite_NormalPrediction(string fname, int mode){
vector<uchar>labelcolor(npt*4);
vector<uint>f2v;
uchar red[] = {255,0,0, 255};
uchar green[] = {0,255,0, 255};
uchar blue[] = {0,0,255, 255};
// for(int i=0;i<labels.size();++i){
// uchar *pcolor;
// if(labels[i]==0)pcolor = green;
// else if(labels[i]==-1)pcolor = blue;
// else if(labels[i]==1)pcolor = red;
// for(int j=0;j<4;++j)labelcolor[i*4+j] = pcolor[j];
// }
//fname += mp_RBF_METHOD[curMethod];
for(int i=0;i<npt;++i){
uchar *pcolor = green;
for(int j=0;j<4;++j)labelcolor[i*4+j] = pcolor[j];
}
vector<double>nors;
if(mode ==0)nors=initnormals;
else if(mode == 1)nors=newnormals;
else if(mode == 2)nors = initnormals_uninorm;
NormalRecification(1.,nors);
//for(int i=0;i<npt;++i)if(randomdouble()<0.5)MyUtility::negVec(nors.data()+i*3);
//cout<<pts.size()<<' '<<f2v.size()<<' '<<nors.size()<<' '<<labelcolor.size()<<endl;
writePLYFile(fname,pts,f2v,nors,labelcolor);
return 1;
}
bool RBF_Core::Write_Hermite_MST(string fname){
return writeObjFile_line(fname,pts,MST_edges);
}
void RBF_Core::Set_HermiteRBF(vector<double>&pts){
cout<<"Set_HermiteRBF"<<endl;
//for(auto a:pts)cout<<a<<' ';cout<<endl;
isHermite = true;
a.set_size(npt*4);
M.set_size(npt*4,npt*4);
double *p_pts = pts.data();
for(int i=0;i<npt;++i){
for(int j=i;j<npt;++j){
M(i,j) = M(j,i) = Kernal_Function_2p(p_pts+i*3, p_pts+j*3);
}
}
//if(User_Lamnbda!=0)for(int i=0;i<npt;++i)M(i,i) += User_Lamnbda;
double G[3];
for(int i=0;i<npt;++i){
for(int j=0;j<npt;++j){
Kernal_Gradient_Function_2p(p_pts+i*3, p_pts+j*3, G);
// int jind = j*3+npt;
// for(int k=0;k<3;++k)M(i,jind+k) = -G[k];
// for(int k=0;k<3;++k)M(jind+k,i) = G[k];
for(int k=0;k<3;++k)M(i,npt+j+k*npt) = G[k];
for(int k=0;k<3;++k)M(npt+j+k*npt,i) = G[k];
}
}
double H[9];
for(int i=0;i<npt;++i){
for(int j=i;j<npt;++j){
Kernal_Hessian_Function_2p(p_pts+i*3, p_pts+j*3, H);
// int iind = i*3+npt;
// int jind = j*3+npt;
// for(int k=0;k<3;++k)
// for(int l=0;l<3;++l)
// M(jind+l,iind+k) = M(iind+k,jind+l) = -H[k*3+l];
for(int k=0;k<3;++k)
for(int l=0;l<3;++l)
M(npt+j+l*npt,npt+i+k*npt) = M(npt+i+k*npt,npt+j+l*npt) = -H[k*3+l];
}
}
//cout<<std::setprecision(5)<<std::fixed<<M<<endl;
bsize= 4;
N.zeros(npt*4,4);
b.set_size(4);
for(int i=0;i<npt;++i){
N(i,0) = 1;
for(int j=0;j<3;++j)N(i,j+1) = pts[i*3+j];
}
for(int i=0;i<npt;++i){
// int ind = i*3+npt;
// for(int j=0;j<3;++j)N(ind+j,j+1) = 1;
for(int j=0;j<3;++j)N(npt+i+j*npt,j+1) = -1;
}
//cout<<N<<endl;
//arma::vec eigval = eig_sym( M ) ;
//cout<<eigval.t()<<endl;
if(!isnewformula){
cout<<"start solve M: "<<endl;
auto t1 = Clock::now();
if(isinv)Minv = inv(M);
else {
arma::mat Eye;
Eye.eye(npt*4,npt*4);
Minv = solve(M,Eye);
}
cout<<"solved M: "<<(invM_time = std::chrono::nanoseconds(Clock::now() - t1).count()/1e9)<<endl;
t1 = Clock::now();
if(isinv)bprey = inv_sympd(N.t() * Minv * N) * N.t() * Minv;
else {
arma::mat Eye2;
Eye2.eye(bsize,bsize);
bprey = solve(N.t() * Minv * N, Eye2) * N.t() * Minv;
}
cout<<"solved bprey "<<std::chrono::nanoseconds(Clock::now() - t1).count()/1e9<<endl;
}else{
}
}
int RBF_Core::Solve_HermiteRBF(vector<double>&vn){
cout<<"Solve_HermiteRBF "<<npt<<' '<<vn.size()<<endl;
arma::vec y(npt*4);
for(int i=0;i<npt;++i)y(i) = 0;
//for(int i=0;i<npt*3;++i)y(i+npt) = normals[i];
for(int i=0;i<npt;++i)for(int j=0;j<3;++j)y(npt+i+j*npt) = -vn[i*3+j];
//cout<<y<<endl;
b = bprey * y;
a = Minv * (y - N*b);
// cout<<a.t()<<endl;
// cout<<b.t()<<endl;
sol.energy = arma::dot(a,M*a);
cout<<"Solve_HermiteRBF"<<endl;
return 1;
}
double Gaussian_2p(const double *p1, const double *p2, double sigma){
return exp(-MyUtility::vecSquareDist(p1,p2)/(2*sigma*sigma));
}
void MinandAveDist(vector<double>&pts, double &mindist, double &avedist){
int n = pts.size()/3;
if(n==0)return;
mindist = 1e30;
avedist = 0;
auto p_v = pts.data();
for(int i=0;i<n;++i){
for(int j=i+1;j<n;++j){
double dist = MyUtility::_VerticesDistance(p_v+i*3,p_v+j*3);
mindist = min(mindist, dist);
avedist += dist;
}
}
avedist/=n;
}
void RBF_Core::Set_Actual_User_LSCoef(double user_ls){
User_Lamnbda = User_Lamnbda_inject = user_ls > 0 ? user_ls : 0;
}
void RBF_Core::Set_Actual_Hermite_LSCoef(double hermite_ls){
ls_coef = Hermite_ls_weight_inject = hermite_ls > 0?hermite_ls:0;
}
void RBF_Core::Set_SparsePara(double spa){
sparse_para = spa;
if(isuse_sparse){
SparsifyKH(finalH, sp_H);
sp_K = sp_H;
}
}
void RBF_Core::SparsifyKH(arma::mat &KH, arma::sp_mat &sp_KH){
if(isuse_sparse){
arma::mat spKH(KH);
double cutele;
int spmethod = 3;
if(spmethod == 0){
cout<<"spmethod 0"<<endl;
cutele = max(fabs(spKH.max()),fabs(spKH.min())) * sparse_para;
for(int i=0;i<npt*3;++i)for(int j=0;j<npt*3;++j)if(fabs(spKH(i,j))<cutele){
spKH(i,j) = 0;
}
}else if(spmethod == 1){
cout<<"spmethod 1"<<endl;
Coherence_M.set_size(npt,npt);
cutele = max(fabs(spKH.max()),fabs(spKH.min())) * sparse_para;
//cutele = 1e-2;
for(int p1=0; p1<npt;++p1)for(int p2=p1+1; p2<npt;++p2){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = spKH(p1+j*npt,p2+k*npt);
double ll = Coherence_M(p1,p2) = Coherence_M(p2,p1) = arma::norm(aa);
if(ll<cutele)for(int j=0;j<3;++j)for(int k=0;k<3;++k){spKH(p1+j*npt,p2+k*npt) = spKH(p2+j*npt,p1+k*npt) = 0;}
}
}else if(spmethod == 2){
cout<<"spmethod 2"<<endl;
Coherence_M.set_size(npt,npt);
for(int p1=0; p1<npt;++p1)Coherence_M(p1,p1) = 0;
for(int p1=0; p1<npt;++p1)for(int p2=p1+1; p2<npt;++p2){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = spKH(p1+j*npt,p2+k*npt);
Coherence_M(p1,p2) = Coherence_M(p2,p1) = arma::norm(aa);
}
cutele = Coherence_M.max() * sparse_para;
for(int p1=0; p1<npt;++p1)for(int p2=p1+1; p2<npt;++p2){
if(Coherence_M(p1,p2)<cutele)for(int j=0;j<3;++j)for(int k=0;k<3;++k){spKH(p1+j*npt,p2+k*npt) = spKH(p2+j*npt,p1+k*npt) = 0;}
}
}else if(spmethod == 3){
cout<<"spmethod 3"<<endl;
Coherence_M.set_size(npt,npt);
for(int p1=0; p1<npt;++p1)Coherence_M(p1,p1) = 0;
for(int p1=0; p1<npt;++p1)for(int p2=p1+1; p2<npt;++p2){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = spKH(p1+j*npt,p2+k*npt);
Coherence_M(p1,p2) = Coherence_M(p2,p1) = arma::norm(aa);
}
vector<double>rowmax(npt),colmax(npt);
for(int p1=0; p1<npt;++p1){
arma::rowvec vv_r = Coherence_M.row(p1);
rowmax[p1] = vv_r.max();
arma::vec vv_c = Coherence_M.col(p1);
colmax[p1] = vv_c.max();
}
for(int p1=0; p1<npt;++p1)for(int p2=p1+1; p2<npt;++p2){
cutele = min(rowmax[p1],colmax[p2]) * sparse_para;
if(Coherence_M(p1,p2)<cutele)for(int j=0;j<3;++j)for(int k=0;k<3;++k){spKH(p1+j*npt,p2+k*npt) = spKH(p2+j*npt,p1+k*npt) = 0;}
}
}
// spKH.for_each( [&cutele](arma::mat::elem_type& val) { if(fabs(val)<cutele)val=0; } );
sp_KH = arma::sp_mat(spKH);
int nsparse = sp_KH.n_nonzero;
cout<<nsparse<<' '<<double(nsparse)/sp_KH.n_elem<<' '<<sp_KH.max()<<' '<<cutele<<endl;
}
}
void RBF_Core::Set_User_Lamnda_ToMatrix(double user_ls){
{
Set_Actual_User_LSCoef(user_ls);
auto t1 = Clock::now();
cout<<"setting K, HermiteApprox_Lamnda"<<endl;
if(User_Lamnbda>0){
arma::sp_mat eye;
eye.eye(npt,npt);
dI = inv(eye + User_Lamnbda*K00);
saveK_finalH = K = K11 - (User_Lamnbda)*(K01.t()*dI*K01);
}else saveK_finalH = K = K11;
cout<<"solved: "<<(std::chrono::nanoseconds(Clock::now() - t1).count()/1e9)<<endl;
}
finalH = saveK_finalH;
SparsifyKH(finalH, sp_H);
if(isuse_sparse)sp_K = sp_H;
}
void RBF_Core::Set_HermiteApprox_Lamnda(double hermite_ls){
{
Set_Actual_Hermite_LSCoef(hermite_ls);
auto t1 = Clock::now();
cout<<"setting K, HermiteApprox_Lamnda"<<endl;
if(ls_coef>0){
arma::sp_mat eye;
eye.eye(npt,npt);
if(ls_coef > 0){
arma:: mat tmpdI = inv(eye + (ls_coef+User_Lamnbda)*K00);
K = K11 - (ls_coef+User_Lamnbda)*(K01.t()*tmpdI*K01);
}else{
K = saveK_finalH;
}
}
cout<<"solved: "<<(std::chrono::nanoseconds(Clock::now() - t1).count()/1e9)<<endl;
}
SparsifyKH(K,sp_K);
}
void RBF_Core::Set_Hermite_PredictNormal(vector<double>&pts){
Set_HermiteRBF(pts);
auto t1 = Clock::now();
cout<<"setting K"<<endl;
if(!isnewformula){
arma::mat D = N.t()*Minv;
K = Minv - D.t()*inv(D*N)*D;
K = K.submat( npt, npt, npt*4-1, npt*4-1 );
finalH = saveK_finalH = K;
SparsifyKH(K,sp_K);
SparsifyKH(finalH, sp_H);
}else{
cout<<"using new formula"<<endl;
bigM.zeros((npt+1)*4,(npt+1)*4);
bigM.submat(0,0,npt*4-1,npt*4-1) = M;
bigM.submat(0,npt*4,(npt)*4-1, (npt+1)*4-1) = N;
bigM.submat(npt*4,0,(npt+1)*4-1, (npt)*4-1) = N.t();
//for(int i=0;i<4;++i)bigM(i+(npt)*4,i+(npt)*4) = 1;
auto t2 = Clock::now();
bigMinv = inv(bigM);
cout<<"bigMinv: "<<(setK_time= std::chrono::nanoseconds(Clock::now() - t2).count()/1e9)<<endl;
bigM.clear();
Minv = bigMinv.submat(0,0,npt*4-1,npt*4-1);
Ninv = bigMinv.submat(0,npt*4,(npt)*4-1, (npt+1)*4-1);
bigMinv.clear();
//K = Minv - Ninv *(N.t()*Minv);
K = Minv;
K00 = K.submat(0,0,npt-1,npt-1);
K01 = K.submat(0,npt,npt-1,npt*4-1);
K11 = K.submat( npt, npt, npt*4-1, npt*4-1 );
M.clear();N.clear();
cout<<"K11: "<<K11.n_cols<<endl;
Set_Hermite_DesignedCurve();
Set_User_Lamnda_ToMatrix(User_Lamnbda_inject);
// arma::vec eigval, ny;
// arma::mat eigvec;
// ny = eig_sym( eigval, eigvec, K);
// cout<<ny<<endl;
cout<<"K: "<<K.n_cols<<endl;
}
//K = ( K.t() + K )/2;
cout<<"solve K total: "<<(setK_time= std::chrono::nanoseconds(Clock::now() - t1).count()/1e9)<<endl;
return;
}
void RBF_Core::KMatrixAnalysis(){
int pickpnt = 60;
//cout<<"sum: "<<arma::sum(K.col(0))<<endl;
vector<double>weights(npt);
for(int i=0;i<npt;++i){
if(i!=pickpnt){
weights[i] = 0;
for(int j=0;j<3;++j)for(int k=0;k<3;++k)weights[i]+=pow(K(pickpnt+j*npt,i+k*npt),2);
}else{
weights[i] = -1;
}
}
auto sortweights = weights;
sort(sortweights.begin(),sortweights.end());
for(auto a:sortweights)cout<<a<<' ';cout<<endl;
int pickmaxNei = max_element(weights.begin(),weights.end()) - weights.begin();
arma::vec eigval, ny;
arma::mat eigvec;
vector<arma::mat>eigenmatrix(npt);
vector<arma::vec>eigenval(npt);
for(int i=0;i<npt;++i){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = K(i+j*npt,i+k*npt);
eig_sym( eigenval[i], eigenmatrix[i], aa);
//cout<<eigenval[i].t();
}
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = K(pickpnt+j*npt,pickmaxNei+k*npt);
cout<<eigenmatrix[pickpnt]<<endl;
cout<<eigenval[pickpnt].t()<<endl;
cout<<eigenmatrix[pickmaxNei]<<endl;
cout<<eigenval[pickmaxNei].t()<<endl;
cout<<normalise( aa*eigenmatrix[pickmaxNei] )<<endl;
cout<<aa<<endl;
//cout<<aa*aa.t()<<endl;
exit(0);
}
class Triple{
public:
double val;
int i,j;
Triple();
Triple(double val, int i, int j):val(val),i(i),j(j){}
};
bool operator <(const Triple& l, const Triple& r){return l.val < r.val;}
bool operator >(const Triple& l, const Triple& r){return l.val > r.val;}
void BuildMST(vector<uint>&MST_edges, vector<vector<int>>&MST_v2v, vector<double>&MST_edgesWeight, vector<Triple>&eweights, int n_v){
MST_edges.clear();
MST_v2v.clear();
MST_edgesWeight.clear();
MST_v2v.resize(n_v);
sort(eweights.begin(),eweights.end(),greater<Triple>());
int n_neg = 0;
vector<int>ele(n_v);
for(int i=0;i<n_v;++i)ele[i]=i;
UnionFind unifind;
unifind.SetElements(ele);
double lastval;
//for(auto &a:eweights)cout<<a.val<<' ';cout<<endl;
for(auto &a:eweights){
//cout<<a.val<<' ';
if(!unifind.Is_Connected(a.i,a.j)){
lastval=a.val;
unifind.Union(a.i,a.j);
MST_edges.push_back(a.i);MST_edges.push_back(a.j);
MST_v2v[a.i].push_back(a.j);MST_v2v[a.j].push_back(a.i);
MST_edgesWeight.push_back(a.val);
++n_neg;
}
}
//cout<<"lastval: "<<lastval<<endl;
//cout<<"n_neg: "<<n_neg<<endl;
assert(unifind.GetNumOfComponents()==1);
}
void MST_Orientate(vector<bool>&isflip,vector<vector<double>>&edgelength, vector<vector<int>>&MST_v2v, int npt, int startpnt){
int nflip = 0;
vector<bool>isvisited(npt,false);
isflip.clear();
isflip.resize(npt,false);
queue<pair<int,int>>q;
for(auto a:MST_v2v[startpnt])q.emplace(a,startpnt);
isvisited[startpnt]=true;
while(!q.empty()){
pair<int,int> aa = q.front();
int curpnt = aa.first;
q.pop();
if(isvisited[curpnt])continue;
isvisited[curpnt] = true;
if((edgelength[curpnt][aa.second]<0 && isflip[aa.second]) || (edgelength[curpnt][aa.second]>0 && !isflip[aa.second])){
isflip[curpnt] = true;++nflip;
}
for(auto a:MST_v2v[curpnt])q.emplace(a,curpnt);
}
//cout<<"nflip: "<<nflip<<endl;
}
void RBF_Core::NormalReOrientation(vector<double>&nors, bool isnormalized){
cout<<"NormalReOrientation"<<endl;
vector<double>nors_strength(npt);
//arma::mat edgelength(npt,npt);
vector<vector<double>>edgelength(npt,vector<double>(npt));
vector<arma::vec>arma_normals(npt,arma::vec(3));
auto p_nor = nors.data();
for(int p1=0; p1<npt;++p1){
for(int j=0;j<3;++j)arma_normals[p1](j) = p_nor[p1*3+j];
nors_strength[p1] = arma::norm(arma_normals[p1] );
arma_normals[p1] = arma::normalise( arma_normals[p1] );
}
vector<Triple>eabslength;
int n_neg = 0;
for(int p1=0; p1<npt;++p1)for(int p2=p1+1; p2<npt;++p2){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = K(p1+j*npt,p2+k*npt);
edgelength[p1][p2] = edgelength[p2][p1] = arma::dot(arma_normals[p1], aa*arma_normals[p2]);
if(edgelength[p1][p2]<0)n_neg++;
if( fabs(edgelength[p1][p2]) > 1e-4 )eabslength.emplace_back(fabs(edgelength[p1][p2]),p1,p2);
}
vector<vector<int>>MST_v2v;
BuildMST(MST_edges, MST_v2v,MST_edgesWeight, eabslength, npt);
vector<bool>isflip(npt,false);
int startpnt = max_element(nors_strength.begin(),nors_strength.end())-nors_strength.begin();
MST_Orientate(isflip,edgelength,MST_v2v,npt,startpnt);
for(int p1=0; p1<npt;++p1)if(isflip[p1]){
arma_normals[p1] = -arma_normals[p1];
}
for(int p1=0; p1<npt;++p1){
for(int j=0;j<3;++j)p_nor[p1*3+j] = arma_normals[p1](j);
}
if(!isnormalized){
for(int p1=0; p1<npt;++p1){
for(int j=0;j<3;++j)p_nor[p1*3+j] = nors_strength[p1] * p_nor[p1*3+j];
}
}
}
void RBF_Core::NormalReOrientation_WithGT(vector<double> &nors, bool isnormalized){
for(int i=0;i<npt;++i){
auto p_gt = normals.data()+i*3;
auto p_nor = nors.data()+i*3;
if(MyUtility::dot(p_gt,p_nor)<0)for(int j=0;j<3;++j)p_nor[j] = -p_nor[j];
}
if(isnormalized)for(int i=0;i<npt;++i){
MyUtility::normalize(nors.data()+i*3);
}
}
void RBF_Core::BuildCoherentGraph(){
cout<<"BuildCoherentGraph"<<endl;
vector<Triple>eabslength;
Coherence_M.set_size(npt,npt);
for(int p1=0; p1<npt;++p1)for(int p2=p1; p2<npt;++p2){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = K(p1+j*npt,p2+k*npt);
double ll = Coherence_M(p1,p2) = Coherence_M(p2,p1) = arma::norm(aa);
if(p2!=p1)
if( fabs(ll) > 1e-4 )
eabslength.emplace_back(fabs(ll),p1,p2);
}
sort(eabslength.begin(),eabslength.end(),greater<Triple>());
Coherence_Graph_Weight.clear();
Coherence_Graph.clear();
for(auto &a:eabslength){
Coherence_Graph_Weight.push_back(a.val);
Coherence_Graph.push_back(a.i);
Coherence_Graph.push_back(a.j);
}
}
double stdvar(vector<double>&v){
int nv = v.size();
double ave = 0;
for(auto a:v)ave+=a;
ave/=nv;
double re = 0;
for(auto a:v)re+= pow(ave-a,2);
return sqrt(re/nv);
}
void RBF_Core::LocalEigenInit_PredictNormal(){
cout<<"LocalEigenInit_PredictNormal"<<endl;
arma::mat eigenmatrix;
arma::vec eigenval;
initnormals.resize(npt*3);
vector<double>eva(3);
for(int i=0;i<npt;++i){
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = K(i+j*npt,i+k*npt);
eig_sym( eigenval, eigenmatrix, aa);
for(int j=0;j<3;++j)eva[j] = eigenval(j);
//double stdv = stdvar(eva);
double stdv = eva[1] - eva[0];
//cout<<stdv<<' ';
for(int j=0;j<3;++j)initnormals[i*3+j] = stdv*eigenmatrix(j,0);
}
NormalReOrientation(initnormals,false);
SetInitnormal_Uninorm();
}
void RBF_Core::SetInitnormal_Uninorm(){
initnormals_uninorm = initnormals;
for(int i=0;i<npt;++i)MyUtility::normalize(initnormals_uninorm.data()+i*3);
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNorm(){
arma::vec eigval, ny;
arma::mat eigvec;
if(!isuse_sparse){
ny = eig_sym( eigval, eigvec, K);
}else{
cout<<"use sparse eigen"<<endl;
int k = 4;
do{
ny = eigs_sym( eigval, eigvec, sp_K, k, "sa" );
k+=4;
}while(ny(0)==0);
}
cout<<"eigval(0): "<<eigval(0)<<endl;
int smalleig = 0;
// for(int i=0;i<eigval.size();++i)if(eigval(i)>0){
// smalleig = i;
// break;
// }
// if(smalleig!=0)if( fabs(eigval(smalleig-1)) < fabs(eigval(smalleig)) )smalleig-=1;
//smalleig = 9;
initnormals.resize(npt*3);
arma::vec y(npt*4);
for(int i=0;i<npt;++i)y(i) = 0;
for(int i=0;i<npt*3;++i)y(i+npt) = eigvec(i,smalleig);
for(int i=0;i<npt;++i){
initnormals[i*3] = y(npt+i);
initnormals[i*3+1] = y(npt+i+npt);
initnormals[i*3+2] = y(npt+i+npt*2);
//MyUtility::normalize(normals.data()+i*3);
}
SetInitnormal_Uninorm();
//b = bprey * y;
//a = Minv * (y - N*b);
//sol.energy = arma::dot(a,M*a);
cout<<"Solve_Hermite_PredictNormal_UnitNorm finish"<<endl;
return 1;
}
void WritePointPLY(string fname, vector<double>&out_Vs, vector<double>&normals, vector<int>&labels);
void RBF_Core::WriteSeletivePLY(string fname, vector<double>&allnormals, vector<int>&pickInd){
vector<double>npts;
vector<double>nnor;
vector<int>labels(pickInd.size(),0);
for(auto ind:pickInd){
for(int j=0;j<3;++j)npts.push_back(pts[ind*3+j]);
for(int j=0;j<3;++j)nnor.push_back(allnormals[ind*3+j]);
}
WritePointPLY(fname,npts,nnor,labels);
}
void RBF_Core::ClearSavedIterBatchInit(){
InitBatch_Vs.clear();
InitBatch_VNs.clear();
InitBatch_VUNs.clear();
InitBatch_VInds.clear();
InitBatch_Coherence_Graph.clear();
InitBatch_Coherence_Graph_Weight.clear();
}
void RBF_Core::SaveIterBatchInit(vector<double>&allnormals, vector<double>&allnormals_uninorm, vector<int>&pickInd){
int nnInd = InitBatch_Vs.size();
InitBatch_Vs.resize(nnInd+1);
InitBatch_VNs.resize(nnInd+1);
InitBatch_VUNs.resize(nnInd+1);
InitBatch_Coherence_Graph.resize(nnInd+1);
InitBatch_Coherence_Graph_Weight.resize(nnInd+1);
InitBatch_VInds.emplace_back(pickInd);
vector<double>&npts = InitBatch_Vs[nnInd];
vector<double>&nor = InitBatch_VNs[nnInd];
vector<double>&nnor = InitBatch_VUNs[nnInd];
vector<uint>&gg = InitBatch_Coherence_Graph[nnInd];
vector<double>&ggw = InitBatch_Coherence_Graph_Weight[nnInd];
vector<bool>ispick(npt,false);
for(auto ind:pickInd){
for(int j=0;j<3;++j)npts.push_back(pts[ind*3+j]);
for(int j=0;j<3;++j)nor.push_back(allnormals[ind*3+j]);
for(int j=0;j<3;++j)nnor.push_back(allnormals_uninorm[ind*3+j]);
ispick[ind]=true;
}
vector<int>sortInd(pickInd);
sort(sortInd.begin(),sortInd.end());
vector<int>invertInd(npt,-1);
for(int p1=0; p1<pickInd.size();++p1)invertInd[pickInd[p1]] = p1;
vector<Triple>eeT;
for(int p1=0; p1<sortInd.size();++p1)for(int p2=p1+1; p2<sortInd.size();++p2){
int i=sortInd[p1],j=sortInd[p2];
eeT.emplace_back(Coherence_M(i,j),invertInd[i],invertInd[j]);
}
sort(eeT.begin(),eeT.end(),greater<Triple>());
gg.clear();ggw.clear();
gg.reserve(eeT.size()*2);ggw.reserve(eeT.size());
for(auto &a:eeT){
ggw.push_back(a.val);
gg.push_back(a.i);
gg.push_back(a.j);
}
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNorm_Iterative(){
vector<int>labels(npt,0);
double thres_coef = 0.5;
arma::vec eigval, ny;
arma::mat eigvec;
int iter = 0;
int maxiter = 20;
vector<int>activeInd(npt);
vector<int>fixedInd;
for(int i=0;i<npt;++i)activeInd[i] = i;
arma::mat subactiveMat;
arma::vec fixVec,addVec;
initnormals.clear();
initnormals.resize(npt*3,0);
vector<double>norm_normals(npt*3,0);
ClearSavedIterBatchInit();
while(true){
++iter;
int n_Active = activeInd.size();
int n_Fixed = fixedInd.size();
bool prebreak = (iter>=maxiter) /*|| (n_Active < npt * 0.05)*/;
arma::uvec row_ind(n_Active*3);
for(int i=0;i<n_Active;++i){
for(int j=0;j<3;++j)row_ind(i*3+j) = activeInd[i]+j*npt;
}
//cout<<row_ind.t()<<endl;
subactiveMat = K.submat(row_ind,row_ind);
//cout<<K.n_rows<<" "<<K.n_cols<<endl;
ny = eig_sym( eigval, eigvec, subactiveMat);
arma::vec firstEigvec(eigvec.col(0));
//cout<<firstEigvec.n_elem<<endl;
double thres = sqrt(1./npt) * thres_coef ;
vector<int>newactive,addfixInd;
//cout<<"thres: "<<thres<<endl;
for(int i=0;i<n_Active;++i){
auto p_nor = initnormals.data()+activeInd[i]*3;
auto p_nor_n = norm_normals.data()+activeInd[i]*3;
for(int j=0;j<3;++j)p_nor_n[j] = p_nor[j] = firstEigvec(i*3+j);
//cout<<i<<endl;
if(!prebreak && MyUtility::normVec(p_nor)<thres){
newactive.push_back(activeInd[i]);
for(int j=0;j<3;++j)p_nor_n[j] = 0;
}else{
//cout<<MyUtility::normVec(p_nor)<<' ';
addfixInd.push_back(activeInd[i]);
fixedInd.push_back(activeInd[i]);
MyUtility::normalize(p_nor_n);
}
}
cout<<iter<<" addfix: "<<addfixInd.size()<<' '<<fixedInd.size()<<endl;
if(n_Fixed>0){
int n_Addfix = fixedInd.size()-n_Fixed;
arma::uvec addfix_row_ind(n_Addfix*3);
addVec.set_size(n_Addfix*3);
for(int i=0;i<n_Addfix;++i){
for(int j=0;j<3;++j)addVec(i*3+j) = norm_normals[addfixInd[i]*3+j];
for(int j=0;j<3;++j)addfix_row_ind(i*3+j) = addfixInd[i]+j*npt;
}
arma::uvec fix_row_ind(n_Fixed*3);
fixVec.set_size(n_Fixed*3);
for(int i=0;i<n_Fixed;++i){
for(int j=0;j<3;++j)fix_row_ind(i*3+j) = fixedInd[i]+j*npt;
for(int j=0;j<3;++j)fixVec(i*3+j) = norm_normals[fixedInd[i]*3+j];
}
arma::mat subInteractiveMat = K.submat(addfix_row_ind,fix_row_ind);
double inter_en = arma::dot(addVec,subInteractiveMat*fixVec);
cout<<"inter_en: "<<inter_en<<endl;
if(inter_en>0){
cout<<"flip"<<endl;
for(int i=0;i<n_Addfix;++i){
int ind = addfixInd[i]*3;
for(int j=0;j<3;++j)initnormals[ind+j] = -initnormals[ind+j];
for(int j=0;j<3;++j)norm_normals[ind+j] = -norm_normals[ind+j];
}
}
}
// WritePointPLY(string("/Users/Research/Geometry/RBF/data/iter/nn_")+to_string(iter),pts,norm_normals,labels);
// WritePointPLY(string("/Users/Research/Geometry/RBF/data/iter/un_")+to_string(iter),pts,newnormals,labels);
WriteSeletivePLY(string("/Users/Research/Geometry/RBF/data/iter/nn_")+to_string(iter),norm_normals,activeInd);
WriteSeletivePLY(string("/Users/Research/Geometry/RBF/data/iter/un_")+to_string(iter),initnormals,activeInd);
SaveIterBatchInit(initnormals,norm_normals,activeInd);
activeInd = newactive;
if(activeInd.size()==0)break;
if(prebreak)break;
}
initnormals_uninorm = initnormals = norm_normals;
cout<<"Solve_Hermite_PredictNormal_UnitNorm_Iterative"<<endl;
return 1;
}
int ExhaustedCombination(vector<bool>&isflip, vector<vector<double>>&en_mat, int n_v){
isflip.clear();
isflip.resize(n_v,false);
if(n_v<2)return 1;
cout<<"ExhaustedCombination"<<endl;
arma::mat arma_enmat(n_v,n_v);
for(int i=0;i<n_v;++i)for(int j=0;j<n_v;++j)arma_enmat(i,j) = en_mat[i][j];
for(int i=0;i<n_v;++i)arma_enmat(i,i) = 0;
double min_en = DBL_MAX;
int min_ind = -1;
arma::vec fvec;
fvec.ones(n_v);
int npow = pow(2,n_v-1);
for(int i=0;i<npow;++i){
//cout<<i<<' ';
int maker = 1;
for(int j=0;j<n_v-1 && maker<=i+1;++j){
cout<<j<<' ';
fvec(j+1) = i & maker ? -1:1;
maker<<=1;
}
//cout<<endl;
//if(i==63)cout<<fvec.t()<<endl;
double cur_en = arma::dot(fvec,arma_enmat*fvec);
if(cur_en<min_en){
min_ind = i;min_en = cur_en;
}
}
int maker = 1;
for(int j=0;maker<=min_ind+1;++j){
isflip[j+1] = min_ind & maker ? true : false;
maker<<=1;
}
return 1;
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNorm_Iterative_MST(){
vector<int>labels(npt,0);
double thres_coef = 0.9;
arma::vec eigval, ny;
arma::mat eigvec;
int iter = 0;
int maxiter = 100;
vector<int>activeInd(npt);
vector<int>fixedInd;
for(int i=0;i<npt;++i)activeInd[i] = i;
arma::mat subactiveMat;
arma::vec fixVec,addVec;
initnormals.clear();
initnormals.resize(npt*3,0);
vector<double>norm_normals(npt*3,0);
vector<vector<int>>hyper_patch;
ClearSavedIterBatchInit();
while(true){
++iter;
int n_Active = activeInd.size();
int n_Fixed = fixedInd.size();
bool prebreak = (iter>=maxiter) /*|| (n_Active < npt * 0.05)*/;
arma::uvec row_ind(n_Active*3);
for(int i=0;i<n_Active;++i){
for(int j=0;j<3;++j)row_ind(i*3+j) = activeInd[i]+j*npt;
}
//cout<<row_ind.t()<<endl;
subactiveMat = K.submat(row_ind,row_ind);
//cout<<K.n_rows<<" "<<K.n_cols<<endl;
ny = eig_sym( eigval, eigvec, subactiveMat);
arma::vec firstEigvec(eigvec.col(0));
//cout<<firstEigvec.n_elem<<endl;
double thres = sqrt(1./npt) * thres_coef ;
//double thres = sqrt(1./n_Active) * thres_coef ;
hyper_patch.resize(hyper_patch.size()+1);
vector<int>newactive;
vector<int>&addfixInd = hyper_patch[hyper_patch.size()-1];
//cout<<"thres: "<<thres<<endl;
for(int i=0;i<n_Active;++i){
auto p_nor = initnormals.data()+activeInd[i]*3;
auto p_nor_n = norm_normals.data()+activeInd[i]*3;
for(int j=0;j<3;++j)p_nor_n[j] = p_nor[j] = firstEigvec(i*3+j);
//cout<<i<<endl;
if(!prebreak && MyUtility::normVec(p_nor)<thres){
newactive.push_back(activeInd[i]);
for(int j=0;j<3;++j)p_nor_n[j] = 0;
}else{
//cout<<MyUtility::normVec(p_nor)<<' ';
addfixInd.push_back(activeInd[i]);
fixedInd.push_back(activeInd[i]);
MyUtility::normalize(p_nor_n);
}
}
cout<<iter<<" addfix: "<<addfixInd.size()<<' '<<fixedInd.size()<<endl;
// WritePointPLY(string("/Users/Research/Geometry/RBF/data/iter/nn_")+to_string(iter),pts,norm_normals,labels);
// WritePointPLY(string("/Users/Research/Geometry/RBF/data/iter/un_")+to_string(iter),pts,newnormals,labels);
//WriteSeletivePLY(string("/Users/Research/Geometry/RBF/data/iter/nn_")+to_string(iter),norm_normals,activeInd);
//WriteSeletivePLY(string("/Users/Research/Geometry/RBF/data/iter/un_")+to_string(iter),initnormals,activeInd);
SaveIterBatchInit(initnormals,norm_normals,activeInd);
activeInd = newactive;
if(activeInd.size()==0)break;
if(prebreak)break;
}
vector<uint>MST_edges;
vector<vector<int>>MST_v2v;
vector<Triple>eweights;
int n_hyper = hyper_patch.size();
vector<arma::vec>hyperb_vec(hyper_patch.size());
vector<arma::uvec>hyperb_rowind(hyper_patch.size());
for(int i=0;i<hyper_patch.size();++i){
int b_nv = hyper_patch[i].size();
auto &hyperVec = hyperb_vec[i];
auto &row_ind = hyperb_rowind[i];
auto &hyper_ind = hyper_patch[i];
hyperVec.set_size(b_nv*3);
row_ind.set_size(b_nv*3);
for(int k=0;k<b_nv;++k){
for(int j=0;j<3;++j)hyperVec(k*3+j) = norm_normals[hyper_ind[k]*3+j];
for(int j=0;j<3;++j)row_ind(k*3+j) = hyper_ind[k]+j*npt;
}
}
cout<<"adsada"<<endl;
vector<vector<double>>interactiveEn_mat(n_hyper,vector<double>(n_hyper));
for(int i=0;i<hyper_patch.size();++i){
for(int j=i+1;j<hyper_patch.size();++j){
arma::mat subInteractiveMat = K.submat(hyperb_rowind[i],hyperb_rowind[j]);
//cout<<"aaa"<<endl;
interactiveEn_mat[j][i] = interactiveEn_mat[i][j] = arma::dot(hyperb_vec[i],subInteractiveMat*hyperb_vec[j]);
//cout<<i<<" "<<j<<" "<<interactiveEn_mat[i][j]<<endl;
eweights.emplace_back(fabs(interactiveEn_mat[i][j]),i,j);
}
}
vector<bool>isflip(n_hyper,false);
if(1){
cout<<"BuildMST"<<endl;
BuildMST(MST_edges, MST_v2v,MST_edgesWeight, eweights, n_hyper);
MST_Orientate(isflip,interactiveEn_mat,MST_v2v,n_hyper,0);
}else{
ExhaustedCombination(isflip,interactiveEn_mat,n_hyper);
}
for(int i=0;i<n_hyper;++i)if(isflip[i]){
int b_nv = hyper_patch[i].size();
auto &hyper_ind = hyper_patch[i];
for(int k=0;k<b_nv;++k){
for(int j=0;j<3;++j)norm_normals[hyper_ind[k]*3+j] = -norm_normals[hyper_ind[k]*3+j];
}
}
initnormals_uninorm = initnormals = norm_normals;
this->MST_edges.clear();
this->MST_edgesWeight.clear();
cout<<"Solve_Hermite_PredictNormal_UnitNorm_Iterative"<<endl;
return 1;
}
/***************************************************************************************************/
/***************************************************************************************************/
double acc_time;
static int countopt = 0;
double optfunc_Hermite(const vector<double>&x, vector<double>&grad, void *fdata){
auto t1 = Clock::now();
RBF_Core *drbf = reinterpret_cast<RBF_Core*>(fdata);
int n = drbf->npt;
arma::vec arma_x(n*3);
//( sin(a)cos(b), sin(a)sin(b), cos(a) ) a =>[0, pi], b => [-pi, pi];
vector<double>sina_cosa_sinb_cosb(n * 4);
for(int i=0;i<n;++i){
int ind = i*4;
sina_cosa_sinb_cosb[ind] = sin(x[i*2]);
sina_cosa_sinb_cosb[ind+1] = cos(x[i*2]);
sina_cosa_sinb_cosb[ind+2] = sin(x[i*2+1]);
sina_cosa_sinb_cosb[ind+3] = cos(x[i*2+1]);
}
for(int i=0;i<n;++i){
auto p_scsc = sina_cosa_sinb_cosb.data()+i*4;
// int ind = i*3;
// arma_x(ind) = p_scsc[0] * p_scsc[3];
// arma_x(ind+1) = p_scsc[0] * p_scsc[2];
// arma_x(ind+2) = p_scsc[1];
arma_x(i) = p_scsc[0] * p_scsc[3];
arma_x(i+n) = p_scsc[0] * p_scsc[2];
arma_x(i+n*2) = p_scsc[1];
}
arma::vec a2;
if(drbf->isuse_sparse)a2 = drbf->sp_H * arma_x;
else a2 = drbf->finalH * arma_x;
if (!grad.empty()) {
grad.resize(n*2);
for(int i=0;i<n;++i){
auto p_scsc = sina_cosa_sinb_cosb.data()+i*4;
// int ind = i*3;
// grad[i*2] = a2(ind) * p_scsc[1] * p_scsc[3] + a2(ind+1) * p_scsc[1] * p_scsc[2] - a2(ind+2) * p_scsc[0];
// grad[i*2+1] = -a2(ind) * p_scsc[0] * p_scsc[2] + a2(ind+1) * p_scsc[0] * p_scsc[3];
grad[i*2] = a2(i) * p_scsc[1] * p_scsc[3] + a2(i+n) * p_scsc[1] * p_scsc[2] - a2(i+n*2) * p_scsc[0];
grad[i*2+1] = -a2(i) * p_scsc[0] * p_scsc[2] + a2(i+n) * p_scsc[0] * p_scsc[3];
}
}
double re = arma::dot( arma_x, a2 );
countopt++;
acc_time+=(std::chrono::nanoseconds(Clock::now() - t1).count()/1e9);
//cout<<countopt++<<' '<<re<<endl;
return re;
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNormal(){
cout<<"ads"<<endl;
sol.solveval.resize(npt * 2);
//Solve_Hermite_PredictNormal_UnitNorm();
//NormalReOrientation();
for(int kk=2;kk<3;++kk){
auto t1 = Clock::now();
if(kk==1){
//Solve_Hermite_PredictNormal_UnitNorm();
//Solve_Hermite_PredictNormal_UnitNorm_Iterative();
Solve_Hermite_PredictNormal_UnitNorm_Iterative_MST();
//NormalReOrientation();
//initnormals = newnormals;
}else if(kk==2){
LocalEigenInit_PredictNormal();
//for(int i=0;i<npt;++i)MyUtility::normalize(newnormals.data()+i*3);
}else if(kk==0){
initnormals = normals;
cout<<"initnormals: "<<normals.size()<<endl;
}
//
init_time = std::chrono::nanoseconds(Clock::now() - t1).count()/1e9;
for(int i=0;i<npt;++i){
double veccc[3];
for(int j=0;j<3;++j)veccc[j] = initnormals[i*3+j];
{
//MyUtility::normalize(veccc);
sol.solveval[i*2] = atan2(sqrt(veccc[0]*veccc[0]+veccc[1]*veccc[1]),veccc[2] );
sol.solveval[i*2 + 1] = atan2( veccc[1], veccc[0] );
}
}
//cout<<"smallvec: "<<smallvec<<endl;
if(1){
vector<double>upper(npt*2);
vector<double>lower(npt*2);
for(int i=0;i<npt;++i){
upper[i*2] = 2 * my_PI;
upper[i*2 + 1] = 2 * my_PI;
lower[i*2] = -2 * my_PI;
lower[i*2 + 1] = -2 * my_PI;
}
countopt = 0;
acc_time = 0;
//LocalIterativeSolver(sol,kk==0?normals:newnormals,300,1e-7);
Solver::nloptwrapper(lower,upper,optfunc_Hermite,this,1e-7,3000,sol);
cout<<"number of call: "<<countopt<<" t: "<<acc_time<<" ave: "<<acc_time/countopt<<endl;
callfunc_time = acc_time;
solve_time = sol.time;
//for(int i=0;i<npt;++i)cout<< sol.solveval[i]<<' ';cout<<endl;
}
}
//exit(-1);
newnormals.resize(npt*3);
arma::vec y(npt*4);
for(int i=0;i<npt;++i)y(i) = 0;
for(int i=0;i<npt;++i){
double a = sol.solveval[i*2], b = sol.solveval[i*2+1];
// int ind = i*3 + npt;
// y(ind) = sin(a) * cos(b);
// y(ind+1) = sin(a) * sin(b);
// y(ind+2) = cos(a);
newnormals[i*3] = y(npt+i) = sin(a) * cos(b);
newnormals[i*3+1] = y(npt+i+npt) = sin(a) * sin(b);
newnormals[i*3+2] = y(npt+i+npt*2) = cos(a);
MyUtility::normalize(newnormals.data()+i*3);
}
Set_RBFCoef(y);
//sol.energy = arma::dot(a,M*a);
cout<<"Solve_Hermite_PredictNormal_UnitNormal"<<endl;
return 1;
}
int RBF_Core::Opt_Hermite_PredictNormal_UnitNormal(){
sol.solveval.resize(npt * 2);
for(int i=0;i<npt;++i){
double *veccc = initnormals.data()+i*3;
{
//MyUtility::normalize(veccc);
sol.solveval[i*2] = atan2(sqrt(veccc[0]*veccc[0]+veccc[1]*veccc[1]),veccc[2] );
sol.solveval[i*2 + 1] = atan2( veccc[1], veccc[0] );
}
}
//cout<<"smallvec: "<<smallvec<<endl;
if(1){
vector<double>upper(npt*2);
vector<double>lower(npt*2);
for(int i=0;i<npt;++i){
upper[i*2] = 2 * my_PI;
upper[i*2 + 1] = 2 * my_PI;
lower[i*2] = -2 * my_PI;
lower[i*2 + 1] = -2 * my_PI;
}
countopt = 0;
acc_time = 0;
//LocalIterativeSolver(sol,kk==0?normals:newnormals,300,1e-7);
Solver::nloptwrapper(lower,upper,optfunc_Hermite,this,1e-7,3000,sol);
cout<<"number of call: "<<countopt<<" t: "<<acc_time<<" ave: "<<acc_time/countopt<<endl;
callfunc_time = acc_time;
solve_time = sol.time;
//for(int i=0;i<npt;++i)cout<< sol.solveval[i]<<' ';cout<<endl;
}
newnormals.resize(npt*3);
arma::vec y(npt*4);
for(int i=0;i<npt;++i)y(i) = 0;
for(int i=0;i<npt;++i){
double a = sol.solveval[i*2], b = sol.solveval[i*2+1];
newnormals[i*3] = y(npt+i) = sin(a) * cos(b);
newnormals[i*3+1] = y(npt+i+npt) = sin(a) * sin(b);
newnormals[i*3+2] = y(npt+i+npt*2) = cos(a);
MyUtility::normalize(newnormals.data()+i*3);
}
Set_RBFCoef(y);
//sol.energy = arma::dot(a,M*a);
cout<<"Opt_Hermite_PredictNormal_UnitNormal"<<endl;
return 1;
}
void RBF_Core::Set_RBFCoef(arma::vec &y){
cout<<"Set_RBFCoef"<<endl;
if(curMethod==HandCraft){
cout<<"HandCraft, not RBF"<<endl;
return;
}
if(!isnewformula){
b = bprey * y;
a = Minv * (y - N*b);
}else{
if(User_Lamnbda>0)y.subvec(0,npt-1) = -User_Lamnbda*dI*K01*y.subvec(npt,npt*4-1);
a = Minv*y;
b = Ninv.t()*y;
}
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNormal_InitializationTest(){
sol.solveval.resize(npt * 2);
int global_eigenIndex = 1;
int local_eigenIndex = 2;
int gt_Index = 0;
for(int kk=0;kk<2;++kk){
if(kk==global_eigenIndex){
Solve_Hermite_PredictNormal_UnitNorm();
NormalReOrientation_WithGT(initnormals,false);
}else if(kk==local_eigenIndex){
LocalEigenInit_PredictNormal();
}
double veccc[3];
for(int i=0;i<npt;++i){
if(kk!=gt_Index)for(int j=0;j<3;++j)veccc[j] = newnormals[i*3+j];
else for(int j=0;j<3;++j)veccc[j] = normals[i*3+j];
{
//MyUtility::normalize(veccc);
sol.solveval[i*2] = atan2(sqrt(veccc[0]*veccc[0]+veccc[1]*veccc[1]),veccc[2] );
sol.solveval[i*2 + 1] = atan2( veccc[1], veccc[0] );
}
}
if(1){
vector<double>upper(npt*2);
vector<double>lower(npt*2);
for(int i=0;i<npt;++i){
upper[i*2] = 2 * my_PI;
upper[i*2 + 1] = 2 * my_PI;
lower[i*2] = -2 * my_PI;
lower[i*2 + 1] = -2 * my_PI;
}
countopt = 0;
Solver::nloptwrapper(lower,upper,optfunc_Hermite,this,1e-7,3000,sol);
cout<<"number of call: "<<countopt<<endl;
//for(int i=0;i<npt;++i)cout<< sol.solveval[i]<<' ';cout<<endl;
}
if(kk==global_eigenIndex){
eigenBe.push_back(sol.init_energy);
eigenEd.push_back(sol.energy);
}else if(kk==local_eigenIndex){
local_eigenBe.push_back(sol.init_energy);
local_eigenEd.push_back(sol.energy);
}else if(kk==gt_Index){
gtBe.push_back(sol.init_energy);
gtEd.push_back(sol.energy);
}
continue;
}
//sol.energy = arma::dot(a,M*a);
cout<<"Solve_Hermite_PredictNormal_UnitNormal"<<endl;
return 1;
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNormal_SolverTest(){
int global_solver = 1;
int local_solver = 0;
LocalEigenInit_PredictNormal();
for(int kk=0;kk<2;++kk){
if(kk==global_solver){
sol.solveval.resize(npt * 2);
double veccc[3];
for(int i=0;i<npt;++i){
for(int j=0;j<3;++j)veccc[j] = newnormals[i*3+j];
{
//MyUtility::normalize(veccc);
sol.solveval[i*2] = atan2(sqrt(veccc[0]*veccc[0]+veccc[1]*veccc[1]),veccc[2] );
sol.solveval[i*2 + 1] = atan2( veccc[1], veccc[0] );
}
}
{
vector<double>upper(npt*2);
vector<double>lower(npt*2);
for(int i=0;i<npt;++i){
upper[i*2] = 2 * my_PI;
upper[i*2 + 1] = 2 * my_PI;
lower[i*2] = -2 * my_PI;
lower[i*2 + 1] = -2 * my_PI;
}
countopt = 0;
Solver::nloptwrapper(lower,upper,optfunc_Hermite,this,1e-7,3000,sol);
cout<<"number of call: "<<countopt<<endl;
//for(int i=0;i<npt;++i)cout<< sol.solveval[i]<<' ';cout<<endl;
}
}else if(kk == local_solver){
LocalIterativeSolver(sol,newnormals,300,1e-7);
}
if(kk==local_solver){
local_eigenBe.push_back(sol.init_energy);
local_eigenEd.push_back(sol.energy);
}else if(kk==global_solver){
gtBe.push_back(sol.init_energy);
gtEd.push_back(sol.energy);
}
continue;
}
//sol.energy = arma::dot(a,M*a);
cout<<"Solve_Hermite_PredictNormal_UnitNormal"<<endl;
return 1;
}
void RBF_Core::ClearInitializationTest(){
lamnbdaGlobal_Be.clear();
lamnbdaGlobal_Ed.clear();
local_eigenBe.clear();
local_eigenEd.clear();
eigenEd.clear();
eigenBe.clear();
eigenEd.clear();
gtBe.clear();
gtEd.clear();
}
void RBF_Core::Print_InitializationTest(string fname){
bool isglobalEigen = true;
cout<<setprecision(5);
cout<<"Eigen \t\t\t Gt"<<endl;
if(isglobalEigen){ for(int i=0;i<gtBe.size();++i){
cout<<eigenBe[i]<<" -> "<<eigenEd[i]<<"\t"<<gtBe[i]<<" -> "<<gtEd[i]<<endl;
}
}else{
for(int i=0;i<gtBe.size();++i){
cout<<local_eigenBe[i]<<" -> "<<local_eigenEd[i]<<"\t"<<gtBe[i]<<" -> "<<gtEd[i]<<endl;
}
}
// int nclose=0;
// for(int i=0;i<gtBe.size();++i){
// if(fabs(gtEd[i]-local_eigenEd[i]) < 10)nclose++;
// }
//cout<<"nclose: "<<nclose<<endl;
ofstream fout(fname);
fout<<setprecision(5);
if(!fout.fail()){
if(isglobalEigen){ for(int i=0;i<eigenBe.size();++i){
fout<<eigenBe[i]<<"\t"<<eigenEd[i]<<"\t"<<gtBe[i]<<"\t"<<gtEd[i]<<endl;
}
}else{
for(int i=0;i<gtBe.size();++i){
fout<<local_eigenBe[i]<<"\t"<<local_eigenEd[i]<<"\t"<<gtBe[i]<<"\t"<<gtEd[i]<<endl;
}
}
}
fout.close();
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNorm_Cluster_MST(double graph_cut_percentage, double localstv_maxcut_percentage, int visualmethod){
double thres_coef = 0.9;
arma::vec eigval, ny;
arma::mat eigvec;
int iter = 0;
int maxiter = 100;
vector<int>fixedInd;
arma::mat subactiveMat;
vector<vector<int>>hyper_patch;
ClearSavedIterBatchInit();
LocalEigenInit_PredictNormal();
vector<double>norm_normals(initnormals);
vector<double>nors_strength(npt);
auto p_nor = initnormals.data();
for(int p1=0; p1<npt;++p1){
nors_strength[p1] = MyUtility::normVec(p_nor+p1*3);
}
double maxstrength = *max_element(nors_strength.begin(),nors_strength.end()) * localstv_maxcut_percentage;
vector<int>headInd;
vector<int>ccInd;
vector<bool>headpick(npt,false);
for(int p1=0; p1<npt;++p1){
if(nors_strength[p1]>maxstrength){
headInd.push_back(p1);
headpick[p1] = true;
}
else ccInd.push_back(p1);
}
UnionFind uni_find_head;
UnionFind uni_find_cc;
uni_find_cc.SetElements(ccInd);
uni_find_head.SetElements(headInd);
double westrength = Coherence_Graph_Weight[0]*graph_cut_percentage;
double n_reserve = 2 * npt * graph_cut_percentage;
if(0){
for(int i=0;i<Coherence_Graph_Weight.size();++i){
if(Coherence_Graph_Weight[i]>westrength){
int a = Coherence_Graph[i*2],b = Coherence_Graph[i*2+1];
if(!headpick[a] && !headpick[b]){
uni_find_cc.Union(a,b);
}
if(headpick[a] && headpick[b]){
uni_find_head.Union(a,b);
}
}else break;
}
}else{
for(int i=0;i<n_reserve;++i){
int a = Coherence_Graph[i*2],b = Coherence_Graph[i*2+1];
if(!headpick[a] && !headpick[b]){
uni_find_cc.Union(a,b);
}
if(headpick[a] && headpick[b]){
uni_find_head.Union(a,b);
}
}
}
vector<vector<int>>ccHyper,headHyper;
uni_find_head.ExtractComponents(headHyper);
uni_find_cc.ExtractComponents(ccHyper);
cout<<"Hyper: "<<headHyper.size()<<' '<<ccHyper.size()<<endl;
for(auto &a:headHyper)hyper_patch.emplace_back(a);
for(auto &a:ccHyper)hyper_patch.emplace_back(a);
for(auto &activeInd:headHyper){
int n_Active = activeInd.size();
for(int i=0;i<n_Active;++i)MyUtility::normalize(norm_normals.data()+activeInd[i]*3);
//SaveIterBatchInit(initnormals,norm_normals,activeInd);
}
SaveIterBatchInit(initnormals,norm_normals,headInd);
// for(auto &activeInd:headHyper){
// SaveIterBatchInit(initnormals,norm_normals,activeInd);
// }
cout<<"n_Active: ";
for(auto &activeInd:headHyper){
int n_Active = activeInd.size();
vector<uint>MST_edges;
vector<vector<int>>MST_v2v;
vector<double>MST_edgesWeight;
vector<int>ind(npt,-10000);
for(int i=0;i<n_Active;++i)ind[activeInd[i]] = i;
vector<vector<double>>edgelength(npt,vector<double>(npt));
vector<arma::vec>arma_normals(n_Active,arma::vec(3));
auto p_nor = norm_normals.data();
for(int p1=0; p1<n_Active;++p1){
for(int j=0;j<3;++j)arma_normals[p1](j) = p_nor[activeInd[p1]*3+j];
arma_normals[p1] = arma::normalise( arma_normals[p1] );
}
vector<Triple>eabslength;
int n_neg = 0;
for(int m=0; m<n_Active;++m)for(int n=m+1; n<n_Active;++n){
int p1 = activeInd[m], p2 = activeInd[n];
arma::mat aa(3,3);
for(int j=0;j<3;++j)for(int k=0;k<3;++k)aa(j,k) = K(p1+j*npt,p2+k*npt);
edgelength[m][n] = edgelength[m][n] = arma::dot(arma_normals[m], aa*arma_normals[n]);
/*if( fabs(edgelength[m][n]) > 1e-4 )*/eabslength.emplace_back(fabs(edgelength[m][n]),m,n);
}
vector<bool>isflip(n_Active);
BuildMST(MST_edges, MST_v2v,MST_edgesWeight, eabslength, n_Active);
MST_Orientate(isflip,edgelength,MST_v2v,n_Active,0);
for(int i=0;i<n_Active;++i)if(isflip[i]){
for(int j=0;j<3;++j)initnormals[activeInd[i]*3+j] = -initnormals[activeInd[i]*3+j];
for(int j=0;j<3;++j)norm_normals[activeInd[i]*3+j] = -norm_normals[activeInd[i]*3+j];
}
if(0){
arma::uvec row_ind(n_Active*3);
for(int i=0;i<n_Active;++i){
for(int j=0;j<3;++j)row_ind(i*3+j) = activeInd[i]+j*npt;
}
//cout<<row_ind.t()<<endl;
subactiveMat = K.submat(row_ind,row_ind);
//cout<<K.n_rows<<" "<<K.n_cols<<endl;
ny = eig_sym( eigval, eigvec, subactiveMat);
arma::vec firstEigvec(eigvec.col(0));
for(int i=0;i<n_Active;++i){
auto p_nor = initnormals.data()+activeInd[i]*3;
auto p_nor_n = norm_normals.data()+activeInd[i]*3;
for(int j=0;j<3;++j)p_nor_n[j] = p_nor[j] = firstEigvec(i*3+j);
MyUtility::normalize(p_nor_n);
}
}
cout<<n_Active<<' ';
SaveIterBatchInit(initnormals,norm_normals,activeInd);
}
cout<<" || ";
vector<double>saveInit(initnormals),save_norm(norm_normals);
for(auto &ccInd:ccHyper){
UnionFind uni_find;
vector<int>ele;
for(auto &b:headHyper)for(auto a:b)ele.push_back(a);
for(auto b:ccInd)ele.push_back(b);
uni_find.SetElements(ele);
for(auto &b:headHyper)for(int i=1;i<b.size();++i)uni_find.Union(b[i],b[i-1]);
for(int i=1;i<ccInd.size();++i)uni_find.Union(ccInd[i],ccInd[i-1]);
vector<bool>ccpick(npt,false);
for(auto b:ccInd)ccpick[b]=true;
for(int i=0;i<n_reserve;++i){
int a = Coherence_Graph[i*2],b = Coherence_Graph[i*2+1];
if((headpick[a] && ccpick[b])|| (headpick[b] && ccpick[a])){
uni_find.Union(a,b);
}
}
vector<int>activeInd(ccInd);
for(auto &b:headHyper)if(uni_find.Is_Connected(b[0],ccInd[0]))for(auto a:b)activeInd.push_back(a);
int n_Active = activeInd.size();
arma::uvec row_ind(n_Active*3);
for(int i=0;i<n_Active;++i){
for(int j=0;j<3;++j)row_ind(i*3+j) = activeInd[i]+j*npt;
}
//cout<<row_ind.t()<<endl;
subactiveMat = K.submat(row_ind,row_ind);
//cout<<K.n_rows<<" "<<K.n_cols<<endl;
ny = eig_sym( eigval, eigvec, subactiveMat);
arma::vec firstEigvec(eigvec.col(0));
vector<int>*drawInd;
if(visualmethod==0)drawInd = &activeInd;//activeInd ccInd
else if(visualmethod==1)drawInd = &ccInd;
for(int i=0;i<drawInd->size();++i){
auto p_nor = initnormals.data()+activeInd[i]*3;
auto p_nor_n = norm_normals.data()+activeInd[i]*3;
for(int j=0;j<3;++j)p_nor_n[j] = p_nor[j] = firstEigvec(i*3+j);
MyUtility::normalize(p_nor_n);
}
cout<<n_Active<<' ';
SaveIterBatchInit(initnormals,norm_normals,*drawInd);
}
cout<<endl;
for(auto &activeInd:headHyper){
int n_Active = activeInd.size();
for(int i=0;i<n_Active;++i){
int offset = activeInd[i]*3;
MyUtility::copyVec(saveInit.data()+offset, initnormals.data()+offset);
MyUtility::copyVec(save_norm.data()+offset, norm_normals.data()+offset);
}
}
vector<Triple>eweights;
int n_hyper = hyper_patch.size();
vector<arma::vec>hyperb_vec(hyper_patch.size());
vector<arma::uvec>hyperb_rowind(hyper_patch.size());
for(int i=0;i<hyper_patch.size();++i){
int b_nv = hyper_patch[i].size();
auto &hyperVec = hyperb_vec[i];
auto &row_ind = hyperb_rowind[i];
auto &hyper_ind = hyper_patch[i];
hyperVec.set_size(b_nv*3);
row_ind.set_size(b_nv*3);
for(int k=0;k<b_nv;++k){
for(int j=0;j<3;++j)hyperVec(k*3+j) = norm_normals[hyper_ind[k]*3+j];
for(int j=0;j<3;++j)row_ind(k*3+j) = hyper_ind[k]+j*npt;
}
}
cout<<"adsada"<<endl;
vector<vector<double>>interactiveEn_mat(n_hyper,vector<double>(n_hyper));
for(int i=0;i<hyper_patch.size();++i){
for(int j=i+1;j<hyper_patch.size();++j){
arma::mat subInteractiveMat = K.submat(hyperb_rowind[i],hyperb_rowind[j]);
//cout<<"aaa"<<endl;
interactiveEn_mat[j][i] = interactiveEn_mat[i][j] = arma::dot(hyperb_vec[i],subInteractiveMat*hyperb_vec[j]);
//cout<<i<<" "<<j<<" "<<interactiveEn_mat[i][j]<<endl;
eweights.emplace_back(fabs(interactiveEn_mat[i][j]),i,j);
}
}
vector<bool>isflip(n_hyper,false);
if(1){
cout<<"BuildMST"<<endl;
vector<uint>MST_edges;
vector<vector<int>>MST_v2v;
vector<double>MST_edgesWeight;
BuildMST(MST_edges, MST_v2v,MST_edgesWeight, eweights, n_hyper);
MST_Orientate(isflip,interactiveEn_mat,MST_v2v,n_hyper,0);
}else{
ExhaustedCombination(isflip,interactiveEn_mat,n_hyper);
}
for(int i=0;i<n_hyper;++i)if(isflip[i]){
int b_nv = hyper_patch[i].size();
auto &hyper_ind = hyper_patch[i];
for(int k=0;k<b_nv;++k){
for(int j=0;j<3;++j)norm_normals[hyper_ind[k]*3+j] = -norm_normals[hyper_ind[k]*3+j];
}
}
initnormals_uninorm = initnormals = norm_normals;
this->MST_edges.clear();
this->MST_edgesWeight.clear();
cout<<"Solve_Hermite_PredictNormal_UnitNorm_Cluster_MST"<<endl;
return 1;
}
int RBF_Core::Lamnbda_Search_GlobalEigen(){
vector<double>lamnbda_list({0, 0.001, 0.01, 0.1, 1});
//vector<double>lamnbda_list({ 0.5,0.6,0.7,0.8,0.9,1,1.1,1.5,2,3});
//lamnbda_list.clear();
//for(double i=1.5;i<2.5;i+=0.1)lamnbda_list.push_back(i);
//vector<double>lamnbda_list({0});
vector<double>initen_list(lamnbda_list.size());
vector<double>finalen_list(lamnbda_list.size());
vector<vector<double>>init_normallist;
vector<vector<double>>opt_normallist;
lamnbda_list_sa = lamnbda_list;
for(int i=0;i<lamnbda_list.size();++i){
Set_HermiteApprox_Lamnda(lamnbda_list[i]);
if(curMethod==Hermite_UnitNormal){
Solve_Hermite_PredictNormal_UnitNorm();
}else if(curMethod==Hermite_Tangent_UnitNormal){
Solve_Hermite_PredictNormal_TangentConstraint_UnitNorm();
}else if(curMethod==HandCraft){
Solve_Hermite_PredictNormal_UnitNorm();
}
//Solve_Hermite_PredictNormal_UnitNorm();
OptNormal(1);
initen_list[i] = sol.init_energy;
finalen_list[i] = sol.energy;
init_normallist.emplace_back(initnormals);
opt_normallist.emplace_back(newnormals);
}
lamnbdaGlobal_Be.emplace_back(initen_list);
lamnbdaGlobal_Ed.emplace_back(finalen_list);
cout<<std::setprecision(8);
for(int i=0;i<initen_list.size();++i){
cout<<lamnbda_list[i]<<": "<<initen_list[i]<<" -> "<<finalen_list[i]<<endl;
}
int minind = min_element(finalen_list.begin(),finalen_list.end()) - finalen_list.begin();
cout<<"min energy: "<<endl;
cout<<lamnbda_list[minind]<<": "<<initen_list[minind]<<" -> "<<finalen_list[minind]<<endl;
initnormals = init_normallist[minind];
SetInitnormal_Uninorm();
newnormals = opt_normallist[minind];
return 1;
}
int RBF_Core::Solve_Hermite_PredictNormal_UnitNormal_LamnbdaSearchTest(){
cout<<"Solve_Hermite_PredictNormal_UnitNormal_LamnbdaSearchTest"<<endl;
curMethod = Hermite_UnitNormal;
Set_Hermite_PredictNormal(pts);
Lamnbda_Search_GlobalEigen();
RBF_Paras para;
para.InitMethod = GT_NORMAL;
InitNormal(para);
OptNormal(1);
gtBe.push_back(sol.init_energy);
gtEd.push_back(sol.energy);
return 1;
}
void RBF_Core::Print_LamnbdaSearchTest(string fname){
cout<<setprecision(7);
cout<<"Print_LamnbdaSearchTest"<<endl;
for(int i=0;i<lamnbda_list_sa.size();++i)cout<<lamnbda_list_sa[i]<<' ';cout<<endl;
cout<<lamnbdaGlobal_Be.size()<<endl;
for(int i=0;i<lamnbdaGlobal_Be.size();++i){
for(int j=0;j<lamnbdaGlobal_Be[i].size();++j){
cout<<lamnbdaGlobal_Be[i][j]<<"\t"<<lamnbdaGlobal_Ed[i][j]<<"\t";
}
cout<<gtBe[i]<<"\t"<<gtEd[i]<<endl;
}
ofstream fout(fname);
fout<<setprecision(7);
if(!fout.fail()){
for(int i=0;i<lamnbda_list_sa.size();++i)fout<<lamnbda_list_sa[i]<<' ';fout<<endl;
fout<<lamnbdaGlobal_Be.size()<<endl;
for(int i=0;i<lamnbdaGlobal_Be.size();++i){
for(int j=0;j<lamnbdaGlobal_Be[i].size();++j){
fout<<lamnbdaGlobal_Be[i][j]<<"\t"<<lamnbdaGlobal_Ed[i][j]<<"\t";
}
fout<<gtBe[i]<<"\t"<<gtEd[i]<<endl;
}
}
fout.close();
}
Computing file changes ...
