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@ -411,7 +411,7 @@ protected: |
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enum { DO_CANNY_PRUNING = 1, SCALE_IMAGE = 2, |
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enum { DO_CANNY_PRUNING = 1, SCALE_IMAGE = 2, |
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FIND_BIGGEST_OBJECT = 4, DO_ROUGH_SEARCH = 8 }; |
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FIND_BIGGEST_OBJECT = 4, DO_ROUGH_SEARCH = 8 }; |
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friend class CascadeClassifierInvoker; |
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friend struct CascadeClassifierInvoker; |
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template<class FEval> |
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template<class FEval> |
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friend int predictOrdered( CascadeClassifier& cascade, Ptr<FeatureEvaluator> &featureEvaluator, double& weight); |
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friend int predictOrdered( CascadeClassifier& cascade, Ptr<FeatureEvaluator> &featureEvaluator, double& weight); |
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@ -488,6 +488,28 @@ protected: |
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Ptr<MaskGenerator> maskGenerator; |
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Ptr<MaskGenerator> maskGenerator; |
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}; |
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}; |
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// ======================== soft cascade version ===================== //
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class CV_EXPORTS SoftCascade |
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{ |
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public: |
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SoftCascade(); |
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SoftCascade( const string& filename ); |
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virtual ~SoftCascade(); |
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bool load( const string& filename ); |
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virtual void detectMultiScale(const Mat& image, const std::vector<cv::Rect>& rois, std::vector<cv::Rect>& objects, double factor = 1.05, int step = 4, int rejectfactor = 1); |
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protected: |
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virtual void detectForOctave(int octave); |
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// virtual bool detectSingleScale( const Mat& image, int stripCount, Size processingRectSize,
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// int stripSize, int yStep, double factor, vector<Rect>& candidates,
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// vector<int>& rejectLevels, vector<double>& levelWeights, bool outputRejectLevels=false);
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enum { BOOST = 0 }; |
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private: |
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struct Filds; |
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Filds* filds; |
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}; |
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//////////////// HOG (Histogram-of-Oriented-Gradients) Descriptor and Object Detector //////////////
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//////////////// HOG (Histogram-of-Oriented-Gradients) Descriptor and Object Detector //////////////
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