void init_patches()
{
using namespace Eigen;
using namespace igl;
using namespace std;
{
VectorXi VCC;
components(F,VCC);
cout<<"There are "<<VCC.maxCoeff()+1<<" connected components of vertices."<<endl;
}
bfs_orient(F,F,CC);
VectorXi I;
switch(orient_method)
{
case ORIENT_METHOD_AO:
{
cout<<"orient_outward_ao()"<<endl;
igl::embree::reorient_facets_raycast(V,F,F,I);
break;
}
case ORIENT_METHOD_OUTWARD:
default:
cout<<"orient_outward()"<<endl;
orient_outward(V,F,CC,F,I);
break;
}
double num_cc = (double)CC.maxCoeff()+1.0;
cout<<"There are "<<num_cc<<" 'manifold/orientable' patches of faces."<<endl;
}
TEST(slice_into, sparse_identity)
{
Eigen::SparseMatrix<double> A = Eigen::MatrixXd::Random(10,9).sparseView();
Eigen::VectorXi I = Eigen::VectorXi::LinSpaced(A.rows(),0,A.rows()-1);
Eigen::VectorXi J = Eigen::VectorXi::LinSpaced(A.cols(),0,A.cols()-1);
{
Eigen::SparseMatrix<double> B(I.maxCoeff()+1,J.maxCoeff()+1);
igl::slice_into(A,I,J,B);
test_common::assert_eq(A,B);
}
{
Eigen::SparseMatrix<double> B(I.maxCoeff()+1,A.cols());
igl::slice_into(A,I,1,B);
test_common::assert_eq(A,B);
}
{
Eigen::SparseMatrix<double> B(A.rows(),J.maxCoeff()+1);
igl::slice_into(A,J,2,B);
test_common::assert_eq(A,B);
}
}
TEST(slice_into,density_reverse)
{
{
Eigen::MatrixXd A = Eigen::MatrixXd::Random(10,9);
Eigen::VectorXi I = Eigen::VectorXi::LinSpaced(A.rows(),A.rows()-1,0);
Eigen::VectorXi J = Eigen::VectorXi::LinSpaced(A.cols(),0,A.cols()-1);
Eigen::MatrixXd B(I.maxCoeff()+1,J.maxCoeff()+1);
igl::slice_into(A,I,J,B);
// reverse rows (i.e., reverse each column vector)
Eigen::MatrixXd C = A.colwise().reverse().eval();
test_common::assert_eq(B,C);
}
{
Eigen::MatrixXd A = Eigen::MatrixXd::Random(10,9);
Eigen::VectorXi I = Eigen::VectorXi::LinSpaced(A.rows(),0,A.rows()-1);
Eigen::VectorXi J = Eigen::VectorXi::LinSpaced(A.cols(),A.cols()-1,0);
Eigen::MatrixXd B(I.maxCoeff()+1,J.maxCoeff()+1);
igl::slice_into(A,I,J,B);
// reverse cols (i.e., reverse each row vector)
Eigen::MatrixXd C = A.rowwise().reverse().eval();
test_common::assert_eq(B,C);
}
}
void randomly_color(
const Eigen::VectorXi & CC,
Eigen::MatrixXd & C)
{
using namespace Eigen;
using namespace igl;
using namespace std;
VectorXi I;
srand ( unsigned ( time(0) ) );
double num_cc = (double)CC.maxCoeff()+1.0;
randperm(num_cc,I);
C.resize(CC.rows(),3);
for(int f = 0;f<CC.rows();f++)
{
jet(
(double)I(CC(f))/num_cc,
C(f,0),
C(f,1),
C(f,2));
}
}
#include <test_common.h>
#include <igl/unique_rows.h>
#include <igl/matrix_to_list.h>
TEST_CASE("unique: matrix", "[igl]")
{
Eigen::VectorXi A(12);
A = (Eigen::VectorXd::Random(A.size(),1).array().abs()*9).cast<int>();
Eigen::VectorXi C,IA,IC;
igl::unique_rows(A,C,IA,IC);
std::vector<bool> inA(A.maxCoeff()+1,false);
for(int i = 0;i<A.size();i++)
{
inA[A(i)] = true;
REQUIRE (C(IC(i)) == A(i));
}
std::vector<bool> inC(inA.size(),false);
// Expect a column vector
REQUIRE (C.cols() == 1);
for(int i = 0;i<C.size();i++)
{
// Should be the first time finding this
REQUIRE (!inC[C(i)]);
// Mark as found
inC[C(i)] = true;
// Should be something also found in A
REQUIRE (inA[C(i)]);
REQUIRE (A(IA(i)) == C(i));
}
for(int i = 0;i<inC.size();i++)
{
void key(unsigned char key, int mouse_x, int mouse_y)
{
using namespace std;
using namespace Eigen;
using namespace igl;
int mod = glutGetModifiers();
switch(key)
{
// ESC
case char(27):
rebar.save(REBAR_NAME);
// ^C
case char(3):
exit(0);
case 'I':
case 'i':
{
push_undo();
s.N *= -1.0;
F = F.rowwise().reverse().eval();
break;
}
case 'z':
case 'Z':
if(mod & GLUT_ACTIVE_COMMAND)
{
if(mod & GLUT_ACTIVE_SHIFT)
{
redo();
}else
{
undo();
}
}else
{
push_undo();
Quaterniond q;
snap_to_canonical_view_quat(s.camera.m_rotation_conj,1.0,q);
switch(center_type)
{
default:
case CENTER_TYPE_ORBIT:
s.camera.orbit(q.conjugate());
break;
case CENTER_TYPE_FPS:
s.camera.turn_eye(q.conjugate());
break;
}
}
break;
case 'u':
mouse_wheel(0, 1,mouse_x,mouse_y);
break;
case 'j':
mouse_wheel(0,-1,mouse_x,mouse_y);
break;
case 'n':
cc_selected = (cc_selected + 1) % (CC.maxCoeff() + 2);
cout << "selected cc: " << cc_selected << endl;
glutPostRedisplay();
break;
default:
if(!TwEventKeyboardGLUT(key,mouse_x,mouse_y))
{
cout<<"Unknown key command: "<<key<<" "<<int(key)<<endl;
}
}
}
bool BF3PointCircle::getRobustCircle(const cvb::CvContourChainCode& contour, const unsigned int maxVotes, const unsigned int maxAccu, const int maxInvalidVotesInSeries, BFCircle& circle) {
cvb::CvChainCodes::const_iterator it = contour.chainCode.begin();
cvb::CvChainCodes::const_iterator it_beg = contour.chainCode.begin();
cvb::CvChainCodes::const_iterator it_end = contour.chainCode.end();
unsigned int x = contour.startingPoint.x;
unsigned int y = contour.startingPoint.y;
BFContour bfContour;
while(it != it_end) {
bfContour.add(BFCoordinate<int>(static_cast<int>(x),static_cast<int>(y)));
x += cvb::cvChainCodeMoves[*it][0];
y += cvb::cvChainCodeMoves[*it][1];
it++;
}
const unsigned int nContourPoints = bfContour.getPixelCount();
BFRectangle rect = bfContour.getBounds();
int nRows = bfRound(rect.getHeight());
int nCols = bfRound(rect.getWidth());
int x0 = bfRound(rect.getX0());
int y0 = bfRound(rect.getY0());
BFCoordinate<int> topLeft(x0,y0);
// generate 2d histogram for circle center estimation
Eigen::MatrixXi H = Eigen::MatrixXi::Zero(nRows, nCols);
unsigned int votes = 0;
int invalidVotesInSeries = 0;
while(votes < maxVotes) {
unsigned int randIndex1 = (rand() % nContourPoints);
unsigned int randIndex2 = (rand() % nContourPoints);
while(randIndex2 == randIndex1)
randIndex2 = (rand() % nContourPoints);
unsigned int randIndex3 = (rand() % nContourPoints);
while(randIndex3 == randIndex2 || randIndex3 == randIndex1)
randIndex3 = (rand() % nContourPoints);
BFCoordinate<int> c1 = bfContour.getCoordinate(randIndex1) - topLeft;
BFCoordinate<int> c2 = bfContour.getCoordinate(randIndex2) - topLeft;
BFCoordinate<int> c3 = bfContour.getCoordinate(randIndex3) - topLeft;
BFCoordinate<double> center;
bool validCenter = getCenter(c1,c2,c3,center);
if(!validCenter) {
votes--;
invalidVotesInSeries++;
if(invalidVotesInSeries > maxInvalidVotesInSeries) {
return false;
}
continue;
}
invalidVotesInSeries = 0;
double cxD = center.getX();
double cyD = center.getY();
int cx = bfRound(cxD);
int cy = bfRound(cyD);
if(cx < 0 || cy < 0 || cx >= nRows || cy >= nCols) {
continue;
}
else {
H(cx,cy) += 1;
if(H(cx,cy) >= static_cast<int>(maxAccu)) {
break;
}
}
votes++;
}
int finalX = 0;
int finalY = 0;
H.maxCoeff(&finalX,&finalY);
finalX += bfRound(x0);
finalY += bfRound(y0);
// generate 1d histogram for circle radius estimation
Eigen::VectorXi K = Eigen::VectorXi::Zero(bfMax(nRows,nCols));
it = it_beg;
x = contour.startingPoint.x;
y = contour.startingPoint.y;
while(it != it_end) {
int r = bfRound(sqrt(pow(static_cast<double>(static_cast<int>(x)-finalX),2.0) + pow(static_cast<double>(static_cast<int>(y)-finalY),2.0)));
if(r < K.rows()) {
K(r) += 1;
}
x += cvb::cvChainCodeMoves[*it][0];
y += cvb::cvChainCodeMoves[*it][1];
it++;
}
int finalR = 0;
K.maxCoeff(&finalR);
circle.set(finalX,finalY,finalR);
return true;
}
bool BF3PointCircle::getRobustCircle(const BFContour& contour, const unsigned int maxVotes, const unsigned int maxAccu, const int maxInvalidVotesInSeries, BFCircle& circle) {
unsigned int nContourPoints = contour.getPixelCount();
BFRectangle rect = contour.getBounds();
BFRectangle zeroRect;
if(rect.equals(zeroRect)) {
return false;
}
int nRows = bfRound(rect.getHeight());
int nCols = bfRound(rect.getWidth());
int x0 = bfRound(rect.getX0());
int y0 = bfRound(rect.getY0());
BFCoordinate<int> topLeft(x0,y0);
int invalidVotesInSeries = 0;
// generate 2d histogram for circle center estimation
Eigen::MatrixXi H = Eigen::MatrixXi::Zero(nRows, nCols);
unsigned int votes = 0;
for(votes; votes <= maxVotes; ++votes) {
// random index number in range [0,nContourPoints-1]
unsigned int randIndex1 = (rand() % nContourPoints);
unsigned int randIndex2 = (rand() % nContourPoints);
while(randIndex2 == randIndex1)
randIndex2 = (rand() % nContourPoints);
unsigned int randIndex3 = (rand() % nContourPoints);
while(randIndex3 == randIndex2 || randIndex3 == randIndex1)
randIndex3 = (rand() % nContourPoints);
BFCoordinate<int> c1 = contour.getCoordinate(randIndex1) - topLeft;
BFCoordinate<int> c2 = contour.getCoordinate(randIndex2) - topLeft;
BFCoordinate<int> c3 = contour.getCoordinate(randIndex3) - topLeft;
BFCoordinate<double> center;
bool validCenter = getCenter(c1,c2,c3,center);
if(!validCenter) {
votes--;
invalidVotesInSeries++;
if(invalidVotesInSeries > maxInvalidVotesInSeries) {
return false;
}
continue;
}
invalidVotesInSeries = 0;
double cxD = center.getX();
double cyD = center.getY();
int cx = bfRound(cxD);
int cy = bfRound(cyD);
if(cx < 0 || cy < 0 || cx >= nRows || cy >= nCols) {
votes--;
continue;
}
else {
H(cx,cy) += 1;
if(H(cx,cy) >= static_cast<int>(maxAccu)) {
break;
}
}
}
int finalX = 0;
int finalY = 0;
H.maxCoeff(&finalX,&finalY);
finalX += bfRound(x0);
finalY += bfRound(y0);
// generate 1d histogram for circle radius estimation
Eigen::VectorXi K = Eigen::VectorXi::Zero(bfMax(nRows,nCols));
const std::vector<BFCoordinate<int> >& cont = contour.getContour();
std::vector<BFCoordinate<int> >::const_iterator iter = cont.begin();
int x;
int y;
while(iter != cont.end()) {
x = bfRound((*iter).getX());
y = bfRound((*iter).getY());
int r = bfRound(sqrt(pow(static_cast<double>(x-finalX),2) + pow(static_cast<double>(y-finalY),2)));
if(r < K.rows()) {
K(r) += 1;
}
iter++;
}
int finalR = 0;
K.maxCoeff(&finalR);
// return result
circle.set(finalX,finalY,finalR);
return true;
}
bool init_arap()
{
using namespace igl;
using namespace Eigen;
using namespace std;
VectorXi b(num_in_selection(S));
assert(S.rows() == V.rows());
C.resize(S.rows(),3);
MatrixXd bc = MatrixXd::Zero(b.size(),S.maxCoeff()+1);
MatrixXi * Ele;
if(T.rows()>0)
{
Ele = &T;
}else
{
Ele = &F;
}
// get b from S
{
int bi = 0;
for(int v = 0;v<S.rows(); v++)
{
if(S(v) >= 0)
{
b(bi) = v;
bc(bi,S(v)) = 1;
bi++;
switch(S(v))
{
case 0:
C.row(v) = RowVector3d(0.039,0.31,1);
break;
case 1:
C.row(v) = RowVector3d(1,0.41,0.70);
break;
default:
C.row(v) = RowVector3d(0.4,0.8,0.3);
break;
}
}else
{
C.row(v) = RowVector3d(
GOLD_DIFFUSE[0],
GOLD_DIFFUSE[1],
GOLD_DIFFUSE[2]);
}
}
}
// Store current mesh
U = V;
VectorXi _S;
VectorXd _D;
MatrixXd W;
if(!harmonic(V,*Ele,b,bc,1,W))
{
return false;
}
//arap_data.with_dynamics = true;
//arap_data.h = 0.5;
//arap_data.max_iter = 100;
//partition(W,100,arap_data.G,_S,_D);
return arap_precomputation(V,*Ele,V.cols(),b,arap_data);
}
