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@@ -490,7 +490,7 @@ protected:
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// Implementation of soft (stageless) cascaded detector.
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class CV_EXPORTS SCascade : public Algorithm
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class CV_EXPORTS_W SCascade : public Algorithm
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{
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public:
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@@ -539,24 +539,27 @@ public:
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// Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
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// Param scales is a number of scales from minScale to maxScale.
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// Param rejfactor is used for NMS.
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SCascade(const double minScale = 0.4, const double maxScale = 5., const int scales = 55, const int rejfactor = 1);
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CV_WRAP SCascade(const double minScale = 0.4, const double maxScale = 5., const int scales = 55, const int rejfactor = 1);
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virtual ~SCascade();
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CV_WRAP virtual ~SCascade();
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cv::AlgorithmInfo* info() const;
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// Load cascade from FileNode.
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// Param fn is a root node for cascade. Should be <cascade>.
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virtual bool load(const FileNode& fn);
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CV_WRAP virtual bool load(const FileNode& fn);
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// Load cascade config.
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virtual void read(const FileNode& fn);
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CV_WRAP virtual void read(const FileNode& fn);
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// Return the vector of Decection objcts.
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// Param image is a frame on which detector will be applied.
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// Param rois is a vector of regions of interest. Only the objects that fall into one of the regions will be returned.
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// Param objects is an output array of Detections
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virtual void detect(InputArray image, InputArray rois, std::vector<Detection>& objects) const;
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// Param rects is an output array of bounding rectangles for detected objects.
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// Param confs is an output array of confidence for detected objects. i-th bounding rectangle corresponds i-th configence.
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CV_WRAP virtual void detect(InputArray image, InputArray rois, OutputArray rects, OutputArray confs) const;
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private:
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void detectNoRoi(const Mat& image, std::vector<Detection>& objects) const;
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