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63 lines
2.1 KiB
ReStructuredText
63 lines
2.1 KiB
ReStructuredText
CUDA version of Soft Cascade Classifier
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========================================
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softcascade::SCascade
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-----------------------------------------------
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.. ocv:class:: softcascade::SCascade : public Algorithm
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Implementation of soft (stageless) cascaded detector. ::
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class CV_EXPORTS SCascade : public Algorithm
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{
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struct CV_EXPORTS Detection
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{
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ushort x;
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ushort y;
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ushort w;
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ushort h;
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float confidence;
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int kind;
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enum {PEDESTRIAN = 0};
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};
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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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virtual ~SCascade();
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virtual bool load(const FileNode& fn);
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virtual void detect(InputArray image, InputArray rois, OutputArray objects, Stream& stream = Stream::Null()) const;
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virtual void genRoi(InputArray roi, OutputArray mask, Stream& stream = Stream::Null()) const;
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};
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softcascade::SCascade::~SCascade
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---------------------------------
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Destructor for SCascade.
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.. ocv:function:: softcascade::SCascade::~SCascade()
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softcascade::SCascade::load
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----------------------------
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Load cascade from FileNode.
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.. ocv:function:: bool softcascade::SCascade::load(const FileNode& fn)
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:param fn: File node from which the soft cascade are read.
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softcascade::SCascade::detect
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------------------------------
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Apply cascade to an input frame and return the vector of Decection objcts.
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.. ocv:function:: void softcascade::SCascade::detect(InputArray image, InputArray rois, OutputArray objects, cv::gpu::Stream& stream = cv::gpu::Stream::Null()) const
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:param image: a frame on which detector will be applied.
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:param rois: a regions of interests mask generated by genRoi. Only the objects that fall into one of the regions will be returned.
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:param objects: an output array of Detections represented as GpuMat of detections (SCascade::Detection). The first element of the matrix is actually a count of detections.
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:param stream: a high-level CUDA stream abstraction used for asynchronous execution.
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