C:/Users/albertlr/projects/TarzaNN/TarzaNN/InputFeaturePlane.h

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/****************************************************************************
 **
 ** Copyright C 2002-2012 Laboratory for Active and Attentive Vision (LAAV), Department of Computer Science and Engineering, York University, Toronto, ON, Canada.
 ** All rights reserved.
 **
 ** This file is part of the TarzaNN Neural Network Simulator.
 **
 ** This file may be distributed and/or modified under the terms of the
 ** GNU General Public License version 2 as published by the Free Software
 ** Foundation and appearing in the file LICENSE.GPL included in the
 ** packaging of this file.
 **
 ** See http://www.tarzann.org/gpl/ for GPL licensing information.
 **
 ** Contact info@tarzann.org if any conditions of this licensing are
 ** not clear to you.
 **
 ** This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
 ** WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
 **
 ****************************************************************************/

#ifndef INPUTFEATUREPLANE_H_INCLUDED
#define INPUTFEATUREPLANE_H_INCLUDED

#include  <qimage.h>

#include "nowarn.h"
#include "common.h"
#include <stdlib.h>

#include "OutputImage.h"
#include "InputFeaturePlaneAbstract.h"

enum {TASK_TYPE_NULL, TASK_FEATURES, TASK_SPATIAL, TASK_MIXED, TASK_TYPE_LAST}; 
enum {TASK_CODE_NULL, TASK_CENTER, TASK_LEFT, TASK_RIGHT, TASK_UP, TASK_DOWN, TASK_UP_LEFT, TASK_UP_RIGHT, TASK_DOWN_LEFT, TASK_DOWN_RIGHT, TASK_CODE_LAST}; 


class InputFeaturePlane : public InputFeaturePlaneAbstract {
        friend class FeaturePlaneFactory;
        friend class Network;
public:
    ~InputFeaturePlane();
    void run();
    
protected:
    //    InputFeaturePlane( Network* net, int l){
    //        loadInputFeaturePlane("input/test.pgm", false, 0, 0);
    //        net->_featurePlaneList.push_back(this);
    //        fpType = FP_INPUT;
    //    };
        
        InputFeaturePlane( Network* net, int l, const char* filename, QString* name, bool isWTA, bool visible, bool scale, float min, float max, NotifyStrategyAbstract* notify, int taskType=TASK_TYPE_NULL, const char* taskFilename=NULL, int taskCode=TASK_CODE_NULL);
        void inhibitReturn();
        void applyGatingControl(Matrix* theGatingControl);
        void applyIOR(Matrix* iorMap);
    
    bool scale;
        float min, max;
    
    static int codeCoordinates[TASK_CODE_LAST][4];
    
private:
    void loadInputFeaturePlane(const char *filename, bool scale, float min, float max, QImage* saved=NULL);
    void generateSpatialMaskInput(int startX, int startY, int endX, int endY);
    void setupHistory(QImage* tempImage);
    
    const char* filename;
    const char* taskFilename;

    int taskType;
    int taskCode;
    
    void runFeaturesTask();
    void runSpatialTask();
    void runMixedTask();
    
};
#endif //INPUTFEATUREPLANE_H_INCLUDED