Exemplo n.º 1
0
    GpuMat createMat(Size size, int type, bool useRoi)
    {
        Size size0 = size;

        if (useRoi)
        {
            size0.width += randomInt(5, 15);
            size0.height += randomInt(5, 15);
        }

        GpuMat d_m(size0, type);

        if (size0 != size)
            d_m = d_m(Rect((size0.width - size.width) / 2, (size0.height - size.height) / 2, size.width, size.height));

        return d_m;
    }
Exemplo n.º 2
0
void	draw_mandelbrot(t_img *img)
{
	const double	save_x = img->plan.x_a;
	const double	save_y = img->plan.y_a;

	img->y = 0;
	while (img->y < HEIGHT)
	{
		img->plan.x_a = save_x;
		img->x = 0;
		while (img->x < WIDTH)
		{
			d_m(img);
			++img->x;
			img->plan.x_a += img->plan.step_x;
		}
		++img->y;
		img->plan.y_a += img->plan.step_y;
	}
	img->plan.x_a = save_x;
	img->plan.y_a = save_y;
}
Exemplo n.º 3
0
const DBSCAN::DistanceMatrix DBSCAN::calc_dist_matrix( const DBSCAN::ClusterData& C, const DBSCAN::FeaturesWeights& W )
{
    DBSCAN::ClusterData cl_d = C;

    omp_set_dynamic( 0 );
    omp_set_num_threads( m_num_threads );
#pragma omp parallel for
    for ( size_t i = 0; i < cl_d.size2(); ++i ) {
        ublas::matrix_column< DBSCAN::ClusterData > col( cl_d, i );

        const auto r = minmax_element( col.begin(), col.end() );

        double data_min = *r.first;
        double data_range = *r.second - *r.first;

        if ( data_range == 0.0 ) {
            data_range = 1.0;
        }

        const double scale = 1 / data_range;
        const double min = -1.0 * data_min * scale;

        col *= scale;
        col.plus_assign( ublas::scalar_vector< typename ublas::matrix_column< DBSCAN::ClusterData >::value_type >( col.size(), min ) );
    }

    // rows x rows
    DBSCAN::DistanceMatrix d_m( cl_d.size1(), cl_d.size1() );
    ublas::vector< double > d_max( cl_d.size1() );
    ublas::vector< double > d_min( cl_d.size1() );

    omp_set_dynamic( 0 );
    omp_set_num_threads( m_num_threads );
#pragma omp parallel for
    for ( size_t i = 0; i < cl_d.size1(); ++i ) {
        for ( size_t j = i; j < cl_d.size1(); ++j ) {
            d_m( i, j ) = 0.0;

            if ( i != j ) {
                ublas::matrix_row< DBSCAN::ClusterData > U( cl_d, i );
                ublas::matrix_row< DBSCAN::ClusterData > V( cl_d, j );

                int k = 0;
                for ( const auto e : ( U - V ) ) {
                    d_m( i, j ) += fabs( e ) * W[k++];
                }

                d_m( j, i ) = d_m( i, j );
            }
        }

        const auto cur_row = ublas::matrix_row< DBSCAN::DistanceMatrix >( d_m, i );
        const auto mm = minmax_element( cur_row.begin(), cur_row.end() );

        d_max( i ) = *mm.second;
        d_min( i ) = *mm.first;
    }

    m_dmin = *( min_element( d_min.begin(), d_min.end() ) );
    m_dmax = *( max_element( d_max.begin(), d_max.end() ) );

    m_eps = ( m_dmax - m_dmin ) * m_eps + m_dmin;

    return d_m;
}