angular_discrete_assign.h

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/***************************************************************************
 *
 * Authors:    Carlos Oscar            coss@cnb.csic.es (2002)
 *
 * Unidad de  Bioinformatica of Centro Nacional de Biotecnologia , CSIC
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
 * 02111-1307  USA
 *
 *  All comments concerning this program package may be sent to the
 *  e-mail address 'xmipp@cnb.csic.es'
 ***************************************************************************/
#ifndef _PROG_ANGULAR_PREDICT
#define _PROG_ANGULAR_PREDICT

#include "core/xmipp_metadata_program.h"
#include "core/matrix1d.h"
#include "core/multidim_array.h"
#include "core/metadata_vec.h"
#include "angular_distance.h"

template<typename T>
class Image;

class ProgAngularDiscreteAssign: public XmippMetadataProgram
{
public:
    FileName fn_ref;
    FileName fn_sym;
    double max_proj_change;
    double max_psi_change;
    double psi_step;
    double max_shift_change;
    double shift_step;
    double th_discard;
    int smin;
    int smax;
    int checkMirrors;
    int pick;
#define TELL_ROT_TILT  1
#define TELL_PSI_SHIFT 2
#define TELL_OPTIONS   4

    int tell;
    bool extended_usage;
    bool search5D;
public:
    // Number of subbands
    int SBNo;
    // Subband size
    Matrix1D<int> SBsize;
    // Selfile with the reference projections
    MetaDataVec SF_ref;
    // Mask disitribution of DWT coefficients.
    // It is created when the training sets
    MultidimArray<int> Mask_no;
    // Vector with all the DWT coefficients of the
    // library
    std::vector<MultidimArray<double>> library;
    // Vector with all the names of the library images
    std::vector<FileName> library_name;
    // Power of the library images at different
    // subbands
    MultidimArray<double> library_power;
    // Vector with the rotational angles of the library
    std::vector<double> rot;
    // Vector with the tilting angles of the library
    std::vector<double> tilt;
    // Parameters for computing distances
    ProgAngularDistance distance_prm;
public:
    ProgAngularDiscreteAssign();

    void readParams();

    void show();

    void defineParams();

    void preProcess();

    void postProcess();

    void produce_library();

    void build_ref_candidate_list(const Image<double> &I,
                                  bool * candidate_list, std::vector<double> &cumulative_corr,
                                  std::vector<double> &sumxy);

    void refine_candidate_list_with_correlation(int m,
            Matrix1D<double> &dwt, bool * candidate_list,
            std::vector<double> &cumulative_corr,
            Matrix1D<double> &x_power,
            std::vector<double> &sumxy, double th = 50);

    double evaluate_candidates(const std::vector<double> &vscore,
                               const std::vector<int> &candidate_idx, std::vector<double> &candidate_rate,
                               double weight);

    void group_views(const std::vector<double> &vrot,
                     const std::vector<double> &vtilt, const std::vector<double> &vpsi,
                     const std::vector<int> &best_idx, const std::vector<int> &candidate_idx,
                     std::vector< std::vector<int> > &groups);

    int pick_view(int method,
                  std::vector< std::vector<int> > &groups,
                  std::vector<double> &vscore,
                  const std::vector<int> &candidate_idx, const std::vector<double> &candidate_rates);

    double predict_rot_tilt_angles(Image<double> &I,
                                   double &assigned_rot, double &assigned_tilt, int &best_ref_idx);

    void processImage(const FileName &fnImg, const FileName &fnImgOut, const MDRow &rowIn, MDRow &rowOut);

//    void postProcess();
};
#endif