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GPU version becomes algorithm

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marina.kolpakova
2012-11-10 00:49:51 +04:00
parent e6eb1b99e1
commit 40600fa504
5 changed files with 346 additions and 235 deletions
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67
modules/gpu/include/opencv2/gpu/gpu.hpp
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@@ -1534,10 +1534,12 @@ public:
// ======================== GPU version for soft cascade ===================== //
class CV_EXPORTS SoftCascade
// Implementation of soft (stageless) cascaded detector.
class CV_EXPORTS SCascade : public Algorithm
{
public:
// Representation of detectors result.
struct CV_EXPORTS Detection
{
ushort x;
@@ -1549,47 +1551,44 @@ public:
enum {PEDESTRIAN = 0};
};
//! An empty cascade will be created.
SoftCascade();
//! Cascade will be created from file for scales from minScale to maxScale.
//! Param filename is a path to xml-serialized cascade.
//! Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
//! Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
SoftCascade( const string& filename, const float minScale = 0.4f, const float maxScale = 5.f);
// An empty cascade will be created.
// Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
// Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
// Param scales is a number of scales from minScale to maxScale.
// Param rejfactor is used for NMS.
SCascade(const double minScale = 0.4, const double maxScale = 5., const int scales = 55, const int rejfactor = 1);
//! cascade will be loaded from file "filename". The previous cascade will be destroyed.
//! Param filename is a path to xml-serialized cascade.
//! Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
//! Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
bool load( const string& filename, const float minScale = 0.4f, const float maxScale = 5.f);
virtual ~SCascade();
virtual ~SoftCascade();
cv::AlgorithmInfo* info() const;
//! detect specific objects on in the input frame for all scales computed flom minScale and maxscale values
//! Param image is input frame for detector. Cascade will be applied to it.
//! Param rois is a mask
//! Param objects 4-channel matrix thet contain detected rectangles
//! Param rejectfactor used for final object box computing
virtual void detectMultiScale(const GpuMat& image, const GpuMat& rois, GpuMat& objects,
int rejectfactor = 1, int specificScale = -1) const;
// Load cascade from FileNode.
// Param fn is a root node for cascade. Should be <cascade>.
virtual bool load(const FileNode& fn);
//! detect specific objects on in the input frame for all scales computed flom minScale and maxscale values.
//! asynchronous version.
//! Param image is input frame for detector. Cascade will be applied to it.
//! Param rois is a mask
//! Param objects 4-channel matrix thet contain detected rectangles
//! Param rejectfactor used for final object box computing
//! Param ndet retrieves number of detections
//! Param stream wrapper for CUDA stream
virtual void detectMultiScale(const GpuMat& image, const GpuMat& rois, GpuMat& objects,
int rejectfactor, GpuMat& ndet, Stream stream) const;
// Load cascade config.
virtual void read(const FileNode& fn);
cv::Size getRoiSize() const;
// Return the vector of Decection objcts.
// Param image is a frame on which detector will be applied.
// Param rois is a vector of regions of interest. Only the objects that fall into one of the regions will be returned.
// Param objects is an output array of Detections
virtual void detect(InputArray image, InputArray rois, OutputArray objects, Stream& stream = Stream::Null()) const;
virtual void detect(InputArray image, InputArray rois, OutputArray objects, const int level, Stream& stream = Stream::Null()) const;
void genRoi(InputArray roi, OutputArray mask) const;
private:
struct Filds;
Filds* filds;
struct Fields;
Fields* fields;
double minScale;
double maxScale;
int scales;
int rejfactor;
};
////////////////////////////////// SURF //////////////////////////////////////////