class cv::cuda::FastFeatureDetector
Wrapping class for feature detection using the FAST method.
#include <cudafeatures2d.hpp> class FastFeatureDetector: public cv::FastFeatureDetector, public cv::cuda::Feature2DAsync { public: // enums enum { LOCATION_ROW = 0, RESPONSE_ROW, ROWS_COUNT, FEATURE_SIZE = 7, }; // methods static Ptr<FastFeatureDetector> create( int threshold = 10, bool nonmaxSuppression = true, int type = FastFeatureDetector::TYPE_9_16, int max_npoints = 5000 ); virtual int getMaxNumPoints() const = 0; virtual void setMaxNumPoints(int max_npoints) = 0; };
Inherited Members
public: // enums enum { TYPE_5_8 = 0, TYPE_7_12 = 1, TYPE_9_16 = 2, THRESHOLD = 10000, NONMAX_SUPPRESSION =10001, FAST_N =10002, }; // methods virtual void clear(); virtual bool empty() const; virtual String getDefaultName() const; virtual void read(const FileNode& fn); virtual void save(const String& filename) const; virtual void write(FileStorage& fs) const; template <typename _Tp> static Ptr<_Tp> load( const String& filename, const String& objname = String() ); template <typename _Tp> static Ptr<_Tp> loadFromString( const String& strModel, const String& objname = String() ); template <typename _Tp> static Ptr<_Tp> read(const FileNode& fn); virtual void compute( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ); virtual void compute( InputArrayOfArrays images, std::vector<std::vector<KeyPoint>>& keypoints, OutputArrayOfArrays descriptors ); virtual int defaultNorm() const; virtual int descriptorSize() const; virtual int descriptorType() const; virtual void detect( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask = noArray() ); virtual void detect( InputArrayOfArrays images, std::vector<std::vector<KeyPoint>>& keypoints, InputArrayOfArrays masks = noArray() ); virtual void detectAndCompute( InputArray image, InputArray mask, std::vector<KeyPoint>& keypoints, OutputArray descriptors, bool useProvidedKeypoints = false ); virtual bool empty() const; void read(const String& fileName); virtual void read(const FileNode& fn); void write(const String& fileName) const; virtual void write(FileStorage& fs) const; static Ptr<FastFeatureDetector> create( int threshold = 10, bool nonmaxSuppression = true, int type = FastFeatureDetector::TYPE_9_16 ); virtual bool getNonmaxSuppression() const = 0; virtual int getThreshold() const = 0; virtual int getType() const = 0; virtual void setNonmaxSuppression(bool f) = 0; virtual void setThreshold(int threshold) = 0; virtual void setType(int type) = 0; virtual void computeAsync( InputArray image, OutputArray keypoints, OutputArray descriptors, Stream& stream = Stream::Null() ); virtual void convert( InputArray gpu_keypoints, std::vector<KeyPoint>& keypoints ) = 0; virtual void detectAndComputeAsync( InputArray image, InputArray mask, OutputArray keypoints, OutputArray descriptors, bool useProvidedKeypoints = false, Stream& stream = Stream::Null() ); virtual void detectAsync( InputArray image, OutputArray keypoints, InputArray mask = noArray(), Stream& stream = Stream::Null() ); protected: // methods void writeFormat(FileStorage& fs) const;