bool intersects(const vector<Point> &contour, const Mat_<uchar> &mask)
{
Mat_<uchar> c = Mat_<uchar>::zeros(mask.size());
fillConvexPoly(c, contour.data(), contour.size(), 255);
/*
Below is:
bitwise_and(mask, c, c);
return countNonZero(c);
optimized.
*/
auto it_m = mask.begin();
auto it_c = c.begin();
while (it_m != mask.end()) {
if (*it_m && *it_c) return true;
++it_m, ++it_c;
}
return false;
}
static int inner_simplex(Mat_<double>& c, Mat_<double>& b,double& v,vector<int>& N,vector<int>& B,vector<unsigned int>& indexToRow){
int count=0;
for(;;){
dprintf(("iteration #%d\n",count));
count++;
static MatIterator_<double> pos_ptr;
int e=-1,pos_ctr=0,min_var=INT_MAX;
bool all_nonzero=true;
for(pos_ptr=c.begin();pos_ptr!=c.end();pos_ptr++,pos_ctr++){
if(*pos_ptr==0){
all_nonzero=false;
}
if(*pos_ptr>0){
if(N[pos_ctr]<min_var){
e=pos_ctr;
min_var=N[pos_ctr];
}
}
}
if(e==-1){
dprintf(("hello from e==-1\n"));
print_matrix(c);
if(all_nonzero==true){
return SOLVELP_SINGLE;
}else{
return SOLVELP_MULTI;
}
}
int l=-1;
min_var=INT_MAX;
double min=DBL_MAX;
int row_it=0;
MatIterator_<double> min_row_ptr=b.begin();
for(MatIterator_<double> it=b.begin();it!=b.end();it+=b.cols,row_it++){
double myite=0;
//check constraints, select the tightest one, reinforcing Bland's rule
if((myite=it[e])>0){
double val=it[b.cols-1]/myite;
if(val<min || (val==min && B[row_it]<min_var)){
min_var=B[row_it];
min_row_ptr=it;
min=val;
l=row_it;
}
}
}
if(l==-1){
return SOLVELP_UNBOUNDED;
}
dprintf(("the tightest constraint is in row %d with %g\n",l,min));
pivot(c,b,v,N,B,l,e,indexToRow);
dprintf(("objective, v=%g\n",v));
print_matrix(c);
dprintf(("constraints\n"));
print_matrix(b);
dprintf(("non-basic: "));
print_matrix(Mat(N));
dprintf(("basic: "));
print_matrix(Mat(B));
}
}
