feature_evaluator.hpp 6.14 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44
/*
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,
indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
*/

Vlad Shakhuro's avatar
Vlad Shakhuro committed
45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
#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);

Vlad Shakhuro's avatar
Vlad Shakhuro committed
73 74 75
namespace cv {
namespace xobjdetect {

Vlad Shakhuro's avatar
Vlad Shakhuro committed
76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113
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 );
114 115
    virtual void write( cv::FileStorage &fs ) const CV_OVERRIDE;
    virtual bool read( const cv::FileNode &node ) CV_OVERRIDE;
Vlad Shakhuro's avatar
Vlad Shakhuro committed
116
    static cv::Ptr<CvFeatureParams> create();
Vlad Shakhuro's avatar
Vlad Shakhuro committed
117 118 119 120 121 122 123 124 125 126 127 128 129
    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;
Vlad Shakhuro's avatar
Vlad Shakhuro committed
130 131
    virtual float operator()(int featureIdx) = 0;
    static cv::Ptr<CvFeatureEvaluator> create();
Vlad Shakhuro's avatar
Vlad Shakhuro committed
132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147

    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;
};

Vlad Shakhuro's avatar
Vlad Shakhuro committed
148 149 150
}
}

Vlad Shakhuro's avatar
Vlad Shakhuro committed
151
#endif