opencv/apps/traincascade/cascadeclassifier.h

#ifndef _OPENCV_CASCADECLASSIFIER_H_
#define _OPENCV_CASCADECLASSIFIER_H_

#include <ctime>
#include "traincascade_features.h"
#include "haarfeatures.h"
#include "lbpfeatures.h"
#include "HOGfeatures.h" //new
#include "boost.h"
#include "cv.h"
#include "cxcore.h"

#define CC_CASCADE_FILENAME "cascade.xml"
#define CC_PARAMS_FILENAME "params.xml"

#define CC_CASCADE_PARAMS "cascadeParams"
#define CC_STAGE_TYPE "stageType"
#define CC_FEATURE_TYPE "featureType"
#define CC_HEIGHT "height"
#define CC_WIDTH  "width"

#define CC_STAGE_NUM    "stageNum"
#define CC_STAGES       "stages"
#define CC_STAGE_PARAMS "stageParams"

#define CC_BOOST            "BOOST"
#define CC_BOOST_TYPE       "boostType"
#define CC_DISCRETE_BOOST   "DAB"
#define CC_REAL_BOOST       "RAB"
#define CC_LOGIT_BOOST      "LB"
#define CC_GENTLE_BOOST     "GAB"
#define CC_MINHITRATE       "minHitRate"
#define CC_MAXFALSEALARM    "maxFalseAlarm"
#define CC_TRIM_RATE        "weightTrimRate"
#define CC_MAX_DEPTH        "maxDepth"
#define CC_WEAK_COUNT       "maxWeakCount"
#define CC_STAGE_THRESHOLD  "stageThreshold"
#define CC_WEAK_CLASSIFIERS "weakClassifiers"
#define CC_INTERNAL_NODES   "internalNodes"
#define CC_LEAF_VALUES      "leafValues"

#define CC_FEATURES       FEATURES
#define CC_FEATURE_PARAMS "featureParams"
#define CC_MAX_CAT_COUNT  "maxCatCount"
#define CC_FEATURE_SIZE   "featSize"

#define CC_HAAR        "HAAR"
#define CC_MODE        "mode"
#define CC_MODE_BASIC  "BASIC"
#define CC_MODE_CORE   "CORE"
#define CC_MODE_ALL    "ALL"
#define CC_RECTS       "rects"
#define CC_TILTED      "tilted"

#define CC_LBP  "LBP"
#define CC_RECT "rect"

#define CC_HOG "HOG"

#ifdef _WIN32
#define TIME( arg ) (((double) clock()) / CLOCKS_PER_SEC)
#else
#define TIME( arg ) (time( arg ))
#endif

class CvCascadeParams : public CvParams
{
public:
    enum { BOOST = 0 };
    static const int defaultStageType = BOOST;
    static const int defaultFeatureType = CvFeatureParams::HAAR;

    CvCascadeParams();
    CvCascadeParams( int _stageType, int _featureType );
    void write( FileStorage &fs ) const;
    bool read( const FileNode &node );

    void printDefaults() const;
    void printAttrs() const;
    bool scanAttr( const String prmName, const String val );

    int stageType;
    int featureType;
    Size winSize;
};

class CvCascadeClassifier
{
public:
    bool train( const String _cascadeDirName,
                const String _posFilename,
                const String _negFilename,
                int _numPos, int _numNeg,
                int _precalcValBufSize, int _precalcIdxBufSize,
                int _numStages,
                const CvCascadeParams& _cascadeParams,
                const CvFeatureParams& _featureParams,
                const CvCascadeBoostParams& _stageParams,
                bool baseFormatSave = false );
private:
    int predict( int sampleIdx );
    void save( const String cascadeDirName, bool baseFormat = false );
    bool load( const String cascadeDirName );
    bool updateTrainingSet( double& acceptanceRatio );
    int fillPassedSamples( int first, int count, bool isPositive, int64& consumed );

    void writeParams( FileStorage &fs ) const;
    void writeStages( FileStorage &fs, const Mat& featureMap ) const;
    void writeFeatures( FileStorage &fs, const Mat& featureMap ) const;
    bool readParams( const FileNode &node );
    bool readStages( const FileNode &node );

    void getUsedFeaturesIdxMap( Mat& featureMap );

    CvCascadeParams cascadeParams;
    Ptr<CvFeatureParams> featureParams;
    Ptr<CvCascadeBoostParams> stageParams;

    Ptr<CvFeatureEvaluator> featureEvaluator;
    vector< Ptr<CvCascadeBoost> > stageClassifiers;
    CvCascadeImageReader imgReader;
    int numStages, curNumSamples;
    int numPos, numNeg;
};

#endif