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;
}
Exemple #2
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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));
    }
}