/*
By downloading, copying, installing or using the software you agree to this license.
If you do not agree to this license, do not download, install,
copy or use the software.


                          License Agreement
               For Open Source Computer Vision Library
                       (3-clause BSD License)

Copyright (C) 2000-2015, Intel Corporation, all rights reserved.
Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
Copyright (C) 2009-2015, NVIDIA Corporation, all rights reserved.
Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
Copyright (C) 2015, OpenCV Foundation, all rights reserved.
Copyright (C) 2015, Itseez Inc., all rights reserved.
Third party copyrights are property of their respective owners.

Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:

  * Redistributions of source code must retain the above copyright notice,
    this list of conditions and the following disclaimer.

  * Redistributions in binary form must reproduce the above copyright notice,
    this list of conditions and the following disclaimer in the documentation
    and/or other materials provided with the distribution.

  * Neither the names of the copyright holders nor the names of the contributors
    may be used to endorse or promote products derived from this software
    without specific prior written permission.

This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are disclaimed.
In no event shall copyright holders or contributors be liable for any direct,
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*/

#ifndef _OPENCV_FEATURES_H_
#define _OPENCV_FEATURES_H_

#include <stdio.h>

#define FEATURES "features"

#define CV_SUM_OFFSETS( p0, p1, p2, p3, rect, step )                      \
    /* (x, y) */                                                          \
    (p0) = (rect).x + (step) * (rect).y;                                  \
    /* (x + w, y) */                                                      \
    (p1) = (rect).x + (rect).width + (step) * (rect).y;                   \
    /* (x + w, y) */                                                      \
    (p2) = (rect).x + (step) * ((rect).y + (rect).height);                \
    /* (x + w, y + h) */                                                  \
    (p3) = (rect).x + (rect).width + (step) * ((rect).y + (rect).height);

#define CV_TILTED_OFFSETS( p0, p1, p2, p3, rect, step )                   \
    /* (x, y) */                                                          \
    (p0) = (rect).x + (step) * (rect).y;                                  \
    /* (x - h, y + h) */                                                  \
    (p1) = (rect).x - (rect).height + (step) * ((rect).y + (rect).height);\
    /* (x + w, y + w) */                                                  \
    (p2) = (rect).x + (rect).width + (step) * ((rect).y + (rect).width);  \
    /* (x + w - h, y + w + h) */                                          \
    (p3) = (rect).x + (rect).width - (rect).height                        \
           + (step) * ((rect).y + (rect).width + (rect).height);

namespace cv {
namespace xobjdetect {

float calcNormFactor( const cv::Mat& sum, const cv::Mat& sqSum );

template<class Feature>
void _writeFeatures( const std::vector<Feature> features, cv::FileStorage &fs, const cv::Mat& featureMap )
{
    fs << FEATURES << "[";
    const cv::Mat_<int>& featureMap_ = (const cv::Mat_<int>&)featureMap;
    for ( int fi = 0; fi < featureMap.cols; fi++ )
        if ( featureMap_(0, fi) >= 0 )
        {
            fs << "{";
            features[fi].write( fs );
            fs << "}";
        }
    fs << "]";
}

class CvParams
{
public:
    CvParams();
    virtual ~CvParams() {}
    // from|to file
    virtual void write( cv::FileStorage &fs ) const = 0;
    virtual bool read( const cv::FileNode &node ) = 0;
    // from|to screen
    virtual void printDefaults() const;
    virtual void printAttrs() const;
    virtual bool scanAttr( const std::string prmName, const std::string val );
    std::string name;
};

class CvFeatureParams : public CvParams
{
public:
    enum { HAAR = 0, LBP = 1, HOG = 2 };
    CvFeatureParams();
    virtual void init( const CvFeatureParams& fp );
    virtual void write( cv::FileStorage &fs ) const CV_OVERRIDE;
    virtual bool read( const cv::FileNode &node ) CV_OVERRIDE;
    static cv::Ptr<CvFeatureParams> create();
    int maxCatCount; // 0 in case of numerical features
    int featSize; // 1 in case of simple features (HAAR, LBP) and N_BINS(9)*N_CELLS(4) in case of Dalal's HOG features
};

class CvFeatureEvaluator
{
public:
    virtual ~CvFeatureEvaluator() {}
    virtual void init(const CvFeatureParams *_featureParams,
                      int _maxSampleCount, cv::Size _winSize );
    virtual void setImage(const cv::Mat& img, uchar clsLabel, int idx, const std::vector<int> &feature_ind);
    virtual void setWindow(const cv::Point& p) = 0;
    virtual void writeFeatures( cv::FileStorage &fs, const cv::Mat& featureMap ) const = 0;
    virtual float operator()(int featureIdx) = 0;
    static cv::Ptr<CvFeatureEvaluator> create();

    int getNumFeatures() const { return numFeatures; }
    int getMaxCatCount() const { return featureParams->maxCatCount; }
    int getFeatureSize() const { return featureParams->featSize; }
    const cv::Mat& getCls() const { return cls; }
    float getCls(int si) const { return cls.at<float>(si, 0); }
protected:
    virtual void generateFeatures() = 0;

    int npos, nneg;
    int numFeatures;
    cv::Size winSize;
    CvFeatureParams *featureParams;
    cv::Mat cls;
};

}
}

#endif