move soft cascade octave to ml module

modules/ml/include/opencv2/ml/ml.hpp

@@ -2142,7 +2142,72 @@ public:
 
     virtual void preprocess(const Mat& frame, Mat& integrals) const = 0;
 
-    virtual ~FeaturePool() = 0;
+    virtual ~FeaturePool();
+};
+
+class Dataset
+{
+public:
+    typedef enum {POSITIVE = 1, NEGATIVE = 2} SampleType;
+
+    virtual cv::Mat get(SampleType type, int idx) const = 0;
+    virtual int available(SampleType type) const = 0;
+    virtual ~Dataset();
+};
+
+// used for traning single octave scale
+class Octave : cv::Boost
+{
+public:
+
+    enum
+    {
+        // Direct backward pruning. (Cha Zhang and Paul Viola)
+        DBP = 1,
+        // Multiple instance pruning. (Cha Zhang and Paul Viola)
+        MIP = 2,
+        // Originally proposed by L. bourdev and J. brandt
+        HEURISTIC = 4
+    };
+
+    Octave(cv::Rect boundingBox, int npositives, int nnegatives, int logScale, int shrinkage);
+    virtual ~Octave();
+
+    virtual bool train(const Dataset* dataset, const FeaturePool* pool, int weaks, int treeDepth);
+
+    virtual float predict( const Mat& _sample, Mat& _votes, bool raw_mode, bool return_sum ) const;
+    virtual void setRejectThresholds(cv::Mat& thresholds);
+    virtual void write( CvFileStorage* fs, string name) const;
+
+    virtual void write( cv::FileStorage &fs, const FeaturePool* pool, const Mat& thresholds) const;
+
+    int logScale;
+
+protected:
+    virtual bool train( const cv::Mat& trainData, const cv::Mat& responses, const cv::Mat& varIdx=cv::Mat(),
+       const cv::Mat& sampleIdx=cv::Mat(), const cv::Mat& varType=cv::Mat(), const cv::Mat& missingDataMask=cv::Mat());
+
+    void processPositives(const Dataset* dataset, const FeaturePool* pool);
+    void generateNegatives(const Dataset* dataset, const FeaturePool* pool);
+
+    float predict( const Mat& _sample, const cv::Range range) const;
+private:
+    void traverse(const CvBoostTree* tree, cv::FileStorage& fs, int& nfeatures, int* used, const double* th) const;
+    virtual void initial_weights(double (&p)[2]);
+
+    cv::Rect boundingBox;
+
+    int npositives;
+    int nnegatives;
+
+    int shrinkage;
+
+    Mat integrals;
+    Mat responses;
+
+    CvBoostParams params;
+
+    Mat trainData;
 };
 
 }