// static
cv::Mat_<float> CrossValidator::createCrossValidationMatrix( const vector< const vector<cv::Mat_<float> >* >& rowVectors,
                                                             cv::Mat_<int>& labels)
{
    assert( !rowVectors.empty());
    cv::Mat_<float> vecs;
    labels.create( 0,1);
    for ( int label = 0; label < rowVectors.size(); ++label)
    {
        assert( rowVectors[label] != 0);
        const vector<cv::Mat_<float> >& rvecs = *rowVectors[label];
        assert( !rvecs.empty());
        const int colDim = rvecs[0].cols; // Should be the length of each row vector in this class
        if ( vecs.empty())
            vecs.create(0, colDim);
        assert( colDim == vecs.cols);   // Ensure this class's row vector length matches what's already stored

        for ( int i = 0; i < rvecs.size(); ++i)
        {
            const cv::Mat_<float>& rv = rvecs[i];
            if ( rv.rows != 1 || rv.cols != colDim)
            {
                std::cerr << "ERROR feature vector size: " << rv.size() << std::endl;
                assert( rv.rows == 1 && rv.cols == colDim);
            }   // end if

            vecs.push_back( rv);    // Append the row vector to the bottom of the matrix
            labels.push_back(label);    // Set this vector's class label
        }   // end for
    }   // end for

    labels = labels.t();    // Make row vector
    return vecs;
}   // end createCrossValidationMatrix
bool from_file( const std::string& fname, cv::Mat_<T>& out_mat,
                std::function< void(const std::string&, const int line) > error_invalid_mat_callback = on_invalid_mat) {
    bool ret;
    out_mat.release();
    ret = getlines_from_file(
        fname,
        [&]( string& line, uint line_nr) {
            std::vector<T> v = from_string<T,vector>( line);
            
            if( v.size()==0 || out_mat.rows != 0 && v.size() != out_mat.cols) {
                error_invalid_mat_callback(fname, line_nr);
                ret = false;
            } else {
                out_mat.push_back( cv::Mat_<T>(cv::Mat_<T>(v).t())); // not gonna love the MatExpr
            }
    });
    return ret;
}
Example #3
0
	// Pick only the more stable/rigid points under changes of expression
	void extract_rigid_points(cv::Mat_<double>& source_points, cv::Mat_<double>& destination_points)
	{
		if(source_points.rows == 68)
		{
			cv::Mat_<double> tmp_source = source_points.clone();
			source_points = cv::Mat_<double>();

			// Push back the rigid points (some face outline, eyes, and nose)
			source_points.push_back(tmp_source.row(1));
			source_points.push_back(tmp_source.row(2));
			source_points.push_back(tmp_source.row(3));
			source_points.push_back(tmp_source.row(4));
			source_points.push_back(tmp_source.row(12));
			source_points.push_back(tmp_source.row(13));
			source_points.push_back(tmp_source.row(14));
			source_points.push_back(tmp_source.row(15));
			source_points.push_back(tmp_source.row(27));
			source_points.push_back(tmp_source.row(28));
			source_points.push_back(tmp_source.row(29));
			source_points.push_back(tmp_source.row(31));
			source_points.push_back(tmp_source.row(32));
			source_points.push_back(tmp_source.row(33));
			source_points.push_back(tmp_source.row(34));
			source_points.push_back(tmp_source.row(35));
			source_points.push_back(tmp_source.row(36));
			source_points.push_back(tmp_source.row(39));
			source_points.push_back(tmp_source.row(40));
			source_points.push_back(tmp_source.row(41));
			source_points.push_back(tmp_source.row(42));
			source_points.push_back(tmp_source.row(45));
			source_points.push_back(tmp_source.row(46));
			source_points.push_back(tmp_source.row(47));

			cv::Mat_<double> tmp_dest = destination_points.clone();
			destination_points = cv::Mat_<double>();

			// Push back the rigid points
			destination_points.push_back(tmp_dest.row(1));
			destination_points.push_back(tmp_dest.row(2));
			destination_points.push_back(tmp_dest.row(3));
			destination_points.push_back(tmp_dest.row(4));
			destination_points.push_back(tmp_dest.row(12));
			destination_points.push_back(tmp_dest.row(13));
			destination_points.push_back(tmp_dest.row(14));
			destination_points.push_back(tmp_dest.row(15));
			destination_points.push_back(tmp_dest.row(27));
			destination_points.push_back(tmp_dest.row(28));
			destination_points.push_back(tmp_dest.row(29));
			destination_points.push_back(tmp_dest.row(31));
			destination_points.push_back(tmp_dest.row(32));
			destination_points.push_back(tmp_dest.row(33));
			destination_points.push_back(tmp_dest.row(34));
			destination_points.push_back(tmp_dest.row(35));
			destination_points.push_back(tmp_dest.row(36));
			destination_points.push_back(tmp_dest.row(39));
			destination_points.push_back(tmp_dest.row(40));
			destination_points.push_back(tmp_dest.row(41));
			destination_points.push_back(tmp_dest.row(42));
			destination_points.push_back(tmp_dest.row(45));
			destination_points.push_back(tmp_dest.row(46));
			destination_points.push_back(tmp_dest.row(47));
		}
	}