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# CUDA version of Soft Cascade Classifier

## softcascade::SCascade

class `softcascade::``SCascade` : public `Algorithm`

Implementation of soft (stageless) cascaded detector.

    class CV_EXPORTS SCascade : public Algorithm
    {
        struct CV_EXPORTS Detection
        {
              ushort x;
              ushort y;
              ushort w;
              ushort h;
              float confidence;
              int kind;

              enum {PEDESTRIAN = 0};
        };

        SCascade(const double minScale = 0.4, const double maxScale = 5., const int scales = 55, const int rejfactor = 1);
        virtual ~SCascade();
        virtual bool load(const FileNode& fn);
        virtual void detect(InputArray image, InputArray rois, OutputArray objects, Stream& stream = Stream::Null()) const;
        virtual void genRoi(InputArray roi, OutputArray mask, Stream& stream = Stream::Null()) const;
    };

## softcascade::SCascade::~SCascade

Destructor for SCascade.

C++:`` `softcascade::SCascade::``~SCascade`()

## softcascade::SCascade::load

Load cascade from FileNode.

C++:`` bool `softcascade::SCascade::``load`(const FileNode& fn)

  Parameters: | fn – File node from which the soft cascade are read.

## softcascade::SCascade::detect

Apply cascade to an input frame and return the vector of Decection objcts.

C++:`` void `softcascade::SCascade::``detect`(InputArray image, InputArray rois, OutputArray objects, cv::cuda::Stream& stream=cv::cuda::Stream::Null())`const`

  Parameters: | image – a frame on which detector will be applied. rois – a regions of interests mask generated by genRoi. Only the objects that fall into one of the regions will be returned. 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. stream – a high-level CUDA stream abstraction used for asynchronous execution.

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