cv.hpp
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Visual C++
- /*M///////////////////////////////////////////////////////////////////////////////////////
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- // For Open Source Computer Vision Library
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- #ifndef _CV_HPP_
- #define _CV_HPP_
- #ifdef __cplusplus
- namespace cv
- {
- enum { BORDER_REPLICATE=IPL_BORDER_REPLICATE, BORDER_CONSTANT=IPL_BORDER_CONSTANT,
- BORDER_REFLECT=IPL_BORDER_REFLECT, BORDER_REFLECT_101=IPL_BORDER_REFLECT_101,
- BORDER_REFLECT101=BORDER_REFLECT_101, BORDER_WRAP=IPL_BORDER_WRAP,
- BORDER_TRANSPARENT, BORDER_DEFAULT=BORDER_REFLECT_101, BORDER_ISOLATED=16 };
- CV_EXPORTS int borderInterpolate( int p, int len, int borderType );
- class CV_EXPORTS BaseRowFilter
- {
- public:
- BaseRowFilter();
- virtual ~BaseRowFilter();
- virtual void operator()(const uchar* src, uchar* dst,
- int width, int cn) = 0;
- int ksize, anchor;
- };
- class CV_EXPORTS BaseColumnFilter
- {
- public:
- BaseColumnFilter();
- virtual ~BaseColumnFilter();
- virtual void operator()(const uchar** src, uchar* dst, int dststep,
- int dstcount, int width) = 0;
- virtual void reset();
- int ksize, anchor;
- };
- class CV_EXPORTS BaseFilter
- {
- public:
- BaseFilter();
- virtual ~BaseFilter();
- virtual void operator()(const uchar** src, uchar* dst, int dststep,
- int dstcount, int width, int cn) = 0;
- virtual void reset();
- Size ksize;
- Point anchor;
- };
- class CV_EXPORTS FilterEngine
- {
- public:
- FilterEngine();
- FilterEngine(const Ptr<BaseFilter>& _filter2D,
- const Ptr<BaseRowFilter>& _rowFilter,
- const Ptr<BaseColumnFilter>& _columnFilter,
- int srcType, int dstType, int bufType,
- int _rowBorderType=BORDER_REPLICATE,
- int _columnBorderType=-1,
- const Scalar& _borderValue=Scalar());
- virtual ~FilterEngine();
- void init(const Ptr<BaseFilter>& _filter2D,
- const Ptr<BaseRowFilter>& _rowFilter,
- const Ptr<BaseColumnFilter>& _columnFilter,
- int srcType, int dstType, int bufType,
- int _rowBorderType=BORDER_REPLICATE, int _columnBorderType=-1,
- const Scalar& _borderValue=Scalar());
- virtual int start(Size wholeSize, Rect roi, int maxBufRows=-1);
- virtual int start(const Mat& src, const Rect& srcRoi=Rect(0,0,-1,-1),
- bool isolated=false, int maxBufRows=-1);
- virtual int proceed(const uchar* src, int srcStep, int srcCount,
- uchar* dst, int dstStep);
- virtual void apply( const Mat& src, Mat& dst,
- const Rect& srcRoi=Rect(0,0,-1,-1),
- Point dstOfs=Point(0,0),
- bool isolated=false);
- bool isSeparable() const { return (const BaseFilter*)filter2D == 0; }
- int remainingInputRows() const;
- int remainingOutputRows() const;
- int srcType, dstType, bufType;
- Size ksize;
- Point anchor;
- int maxWidth;
- Size wholeSize;
- Rect roi;
- int dx1, dx2;
- int rowBorderType, columnBorderType;
- vector<int> borderTab;
- int borderElemSize;
- vector<uchar> ringBuf;
- vector<uchar> srcRow;
- vector<uchar> constBorderValue;
- vector<uchar> constBorderRow;
- int bufStep, startY, startY0, endY, rowCount, dstY;
- vector<uchar*> rows;
- Ptr<BaseFilter> filter2D;
- Ptr<BaseRowFilter> rowFilter;
- Ptr<BaseColumnFilter> columnFilter;
- };
- enum { KERNEL_GENERAL=0, KERNEL_SYMMETRICAL=1, KERNEL_ASYMMETRICAL=2,
- KERNEL_SMOOTH=4, KERNEL_INTEGER=8 };
- CV_EXPORTS int getKernelType(const Mat& kernel, Point anchor);
- CV_EXPORTS Ptr<BaseRowFilter> getLinearRowFilter(int srcType, int bufType,
- const Mat& kernel, int anchor,
- int symmetryType);
- CV_EXPORTS Ptr<BaseColumnFilter> getLinearColumnFilter(int bufType, int dstType,
- const Mat& kernel, int anchor,
- int symmetryType, double delta=0,
- int bits=0);
- CV_EXPORTS Ptr<BaseFilter> getLinearFilter(int srcType, int dstType,
- const Mat& kernel,
- Point anchor=Point(-1,-1),
- double delta=0, int bits=0);
- CV_EXPORTS Ptr<FilterEngine> createSeparableLinearFilter(int srcType, int dstType,
- const Mat& rowKernel, const Mat& columnKernel,
- Point _anchor=Point(-1,-1), double delta=0,
- int _rowBorderType=BORDER_DEFAULT,
- int _columnBorderType=-1,
- const Scalar& _borderValue=Scalar());
- CV_EXPORTS Ptr<FilterEngine> createLinearFilter(int srcType, int dstType,
- const Mat& kernel, Point _anchor=Point(-1,-1),
- double delta=0, int _rowBorderType=BORDER_DEFAULT,
- int _columnBorderType=-1, const Scalar& _borderValue=Scalar());
- CV_EXPORTS Mat getGaussianKernel( int ksize, double sigma, int ktype=CV_64F );
- CV_EXPORTS Ptr<FilterEngine> createGaussianFilter( int type, Size ksize,
- double sigma1, double sigma2=0,
- int borderType=BORDER_DEFAULT);
- CV_EXPORTS void getDerivKernels( Mat& kx, Mat& ky, int dx, int dy, int ksize,
- bool normalize=false, int ktype=CV_32F );
- CV_EXPORTS Ptr<FilterEngine> createDerivFilter( int srcType, int dstType,
- int dx, int dy, int ksize,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS Ptr<BaseRowFilter> getRowSumFilter(int srcType, int sumType,
- int ksize, int anchor=-1);
- CV_EXPORTS Ptr<BaseColumnFilter> getColumnSumFilter(int sumType, int dstType,
- int ksize, int anchor=-1,
- double scale=1);
- CV_EXPORTS Ptr<FilterEngine> createBoxFilter( int srcType, int dstType, Size ksize,
- Point anchor=Point(-1,-1),
- bool normalize=true,
- int borderType=BORDER_DEFAULT);
- enum { MORPH_ERODE=0, MORPH_DILATE=1, MORPH_OPEN=2, MORPH_CLOSE=3,
- MORPH_GRADIENT=4, MORPH_TOPHAT=5, MORPH_BLACKHAT=6 };
- CV_EXPORTS Ptr<BaseRowFilter> getMorphologyRowFilter(int op, int type, int ksize, int anchor=-1);
- CV_EXPORTS Ptr<BaseColumnFilter> getMorphologyColumnFilter(int op, int type, int ksize, int anchor=-1);
- CV_EXPORTS Ptr<BaseFilter> getMorphologyFilter(int op, int type, const Mat& kernel,
- Point anchor=Point(-1,-1));
- static inline Scalar morphologyDefaultBorderValue() { return Scalar::all(DBL_MAX); }
- CV_EXPORTS Ptr<FilterEngine> createMorphologyFilter(int op, int type, const Mat& kernel,
- Point anchor=Point(-1,-1), int _rowBorderType=BORDER_CONSTANT,
- int _columnBorderType=-1,
- const Scalar& _borderValue=morphologyDefaultBorderValue());
- enum { MORPH_RECT=0, MORPH_CROSS=1, MORPH_ELLIPSE=2 };
- CV_EXPORTS Mat getStructuringElement(int shape, Size ksize, Point anchor=Point(-1,-1));
- CV_EXPORTS void copyMakeBorder( const Mat& src, Mat& dst,
- int top, int bottom, int left, int right,
- int borderType, const Scalar& value=Scalar() );
- CV_EXPORTS void medianBlur( const Mat& src, Mat& dst, int ksize );
- CV_EXPORTS void GaussianBlur( const Mat& src, Mat& dst, Size ksize,
- double sigma1, double sigma2=0,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void bilateralFilter( const Mat& src, Mat& dst, int d,
- double sigmaColor, double sigmaSpace,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void boxFilter( const Mat& src, Mat& dst, int ddepth,
- Size ksize, Point anchor=Point(-1,-1),
- bool normalize=true,
- int borderType=BORDER_DEFAULT );
- static inline void blur( const Mat& src, Mat& dst,
- Size ksize, Point anchor=Point(-1,-1),
- int borderType=BORDER_DEFAULT )
- {
- boxFilter( src, dst, -1, ksize, anchor, true, borderType );
- }
- CV_EXPORTS void filter2D( const Mat& src, Mat& dst, int ddepth,
- const Mat& kernel, Point anchor=Point(-1,-1),
- double delta=0, int borderType=BORDER_DEFAULT );
- CV_EXPORTS void sepFilter2D( const Mat& src, Mat& dst, int ddepth,
- const Mat& kernelX, const Mat& kernelY,
- Point anchor=Point(-1,-1),
- double delta=0, int borderType=BORDER_DEFAULT );
- CV_EXPORTS void Sobel( const Mat& src, Mat& dst, int ddepth,
- int dx, int dy, int ksize=3,
- double scale=1, double delta=0,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void Scharr( const Mat& src, Mat& dst, int ddepth,
- int dx, int dy, double scale=1, double delta=0,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void Laplacian( const Mat& src, Mat& dst, int ddepth,
- int ksize=1, double scale=1, double delta=0,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void Canny( const Mat& image, Mat& edges,
- double threshold1, double threshold2,
- int apertureSize=3, bool L2gradient=false );
- CV_EXPORTS void cornerMinEigenVal( const Mat& src, Mat& dst,
- int blockSize, int ksize=3,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void cornerHarris( const Mat& src, Mat& dst, int blockSize,
- int ksize, double k,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void cornerEigenValsAndVecs( const Mat& src, Mat& dst,
- int blockSize, int ksize,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void preCornerDetect( const Mat& src, Mat& dst, int ksize,
- int borderType=BORDER_DEFAULT );
- CV_EXPORTS void cornerSubPix( const Mat& image, vector<Point2f>& corners,
- Size winSize, Size zeroZone,
- TermCriteria criteria );
- CV_EXPORTS void goodFeaturesToTrack( const Mat& image, vector<Point2f>& corners,
- int maxCorners, double qualityLevel, double minDistance,
- const Mat& mask=Mat(), int blockSize=3,
- bool useHarrisDetector=false, double k=0.04 );
- CV_EXPORTS void HoughLines( const Mat& image, vector<Vec2f>& lines,
- double rho, double theta, int threshold,
- double srn=0, double stn=0 );
- CV_EXPORTS void HoughLinesP( Mat& image, vector<Vec4i>& lines,
- double rho, double theta, int threshold,
- double minLineLength=0, double maxLineGap=0 );
- CV_EXPORTS void HoughCircles( const Mat& image, vector<Vec3f>& circles,
- int method, double dp, double minDist,
- double param1=100, double param2=100,
- int minRadius=0, int maxRadius=0 );
- CV_EXPORTS void erode( const Mat& src, Mat& dst, const Mat& kernel,
- Point anchor=Point(-1,-1), int iterations=1,
- int borderType=BORDER_CONSTANT,
- const Scalar& borderValue=morphologyDefaultBorderValue() );
- CV_EXPORTS void dilate( const Mat& src, Mat& dst, const Mat& kernel,
- Point anchor=Point(-1,-1), int iterations=1,
- int borderType=BORDER_CONSTANT,
- const Scalar& borderValue=morphologyDefaultBorderValue() );
- CV_EXPORTS void morphologyEx( const Mat& src, Mat& dst, int op, const Mat& kernel,
- Point anchor=Point(-1,-1), int iterations=1,
- int borderType=BORDER_CONSTANT,
- const Scalar& borderValue=morphologyDefaultBorderValue() );
- enum { INTER_NEAREST=0, INTER_LINEAR=1, INTER_CUBIC=2, INTER_AREA=3,
- INTER_LANCZOS4=4, INTER_MAX=7, WARP_INVERSE_MAP=16 };
- CV_EXPORTS void resize( const Mat& src, Mat& dst,
- Size dsize=Size(), double fx=0, double fy=0,
- int interpolation=INTER_LINEAR );
- CV_EXPORTS void warpAffine( const Mat& src, Mat& dst,
- const Mat& M, Size dsize,
- int flags=INTER_LINEAR,
- int borderMode=BORDER_CONSTANT,
- const Scalar& borderValue=Scalar());
- CV_EXPORTS void warpPerspective( const Mat& src, Mat& dst,
- const Mat& M, Size dsize,
- int flags=INTER_LINEAR,
- int borderMode=BORDER_CONSTANT,
- const Scalar& borderValue=Scalar());
- CV_EXPORTS void remap( const Mat& src, Mat& dst, const Mat& map1, const Mat& map2,
- int interpolation, int borderMode=BORDER_CONSTANT,
- const Scalar& borderValue=Scalar());
- CV_EXPORTS void convertMaps( const Mat& map1, const Mat& map2, Mat& dstmap1, Mat& dstmap2,
- int dstmap1type, bool nninterpolation=false );
- CV_EXPORTS Mat getRotationMatrix2D( Point2f center, double angle, double scale );
- CV_EXPORTS Mat getPerspectiveTransform( const Point2f src[], const Point2f dst[] );
- CV_EXPORTS Mat getAffineTransform( const Point2f src[], const Point2f dst[] );
- CV_EXPORTS void invertAffineTransform(const Mat& M, Mat& iM);
- CV_EXPORTS void getRectSubPix( const Mat& image, Size patchSize,
- Point2f center, Mat& patch, int patchType=-1 );
- CV_EXPORTS void integral( const Mat& src, Mat& sum, int sdepth=-1 );
- CV_EXPORTS void integral( const Mat& src, Mat& sum, Mat& sqsum, int sdepth=-1 );
- CV_EXPORTS void integral( const Mat& src, Mat& sum, Mat& sqsum, Mat& tilted, int sdepth=-1 );
- CV_EXPORTS void accumulate( const Mat& src, Mat& dst, const Mat& mask=Mat() );
- CV_EXPORTS void accumulateSquare( const Mat& src, Mat& dst, const Mat& mask=Mat() );
- CV_EXPORTS void accumulateProduct( const Mat& src1, const Mat& src2,
- Mat& dst, const Mat& mask=Mat() );
- CV_EXPORTS void accumulateWeighted( const Mat& src, Mat& dst,
- double alpha, const Mat& mask=Mat() );
- enum { THRESH_BINARY=0, THRESH_BINARY_INV=1, THRESH_TRUNC=2, THRESH_TOZERO=3,
- THRESH_TOZERO_INV=4, THRESH_MASK=7, THRESH_OTSU=8 };
- CV_EXPORTS double threshold( const Mat& src, Mat& dst, double thresh, double maxval, int type );
- enum { ADAPTIVE_THRESH_MEAN_C=0, ADAPTIVE_THRESH_GAUSSIAN_C=1 };
- CV_EXPORTS void adaptiveThreshold( const Mat& src, Mat& dst, double maxValue,
- int adaptiveMethod, int thresholdType,
- int blockSize, double C );
- CV_EXPORTS void pyrDown( const Mat& src, Mat& dst, const Size& dstsize=Size());
- CV_EXPORTS void pyrUp( const Mat& src, Mat& dst, const Size& dstsize=Size());
- CV_EXPORTS void buildPyramid( const Mat& src, vector<Mat>& dst, int maxlevel );
- CV_EXPORTS void undistort( const Mat& src, Mat& dst, const Mat& cameraMatrix,
- const Mat& distCoeffs, const Mat& newCameraMatrix=Mat() );
- CV_EXPORTS void initUndistortRectifyMap( const Mat& cameraMatrix, const Mat& distCoeffs,
- const Mat& R, const Mat& newCameraMatrix,
- Size size, int m1type, Mat& map1, Mat& map2 );
- CV_EXPORTS Mat getDefaultNewCameraMatrix( const Mat& cameraMatrix, Size imgsize=Size(),
- bool centerPrincipalPoint=false );
- enum { OPTFLOW_USE_INITIAL_FLOW=4, OPTFLOW_FARNEBACK_GAUSSIAN=256 };
- CV_EXPORTS void calcOpticalFlowPyrLK( const Mat& prevImg, const Mat& nextImg,
- const vector<Point2f>& prevPts, vector<Point2f>& nextPts,
- vector<uchar>& status, vector<float>& err,
- Size winSize=Size(15,15), int maxLevel=3,
- TermCriteria criteria=TermCriteria(
- TermCriteria::COUNT+TermCriteria::EPS,
- 30, 0.01),
- double derivLambda=0.5,
- int flags=0 );
- CV_EXPORTS void calcOpticalFlowFarneback( const Mat& prev0, const Mat& next0,
- Mat& flow0, double pyr_scale, int levels, int winsize,
- int iterations, int poly_n, double poly_sigma, int flags );
- template<> inline void Ptr<CvHistogram>::delete_obj()
- { cvReleaseHist(&obj); }
- CV_EXPORTS void calcHist( const Mat* images, int nimages,
- const int* channels, const Mat& mask,
- MatND& hist, int dims, const int* histSize,
- const float** ranges, bool uniform=true,
- bool accumulate=false );
- CV_EXPORTS void calcHist( const Mat* images, int nimages,
- const int* channels, const Mat& mask,
- SparseMat& hist, int dims, const int* histSize,
- const float** ranges, bool uniform=true,
- bool accumulate=false );
- CV_EXPORTS void calcBackProject( const Mat* images, int nimages,
- const int* channels, const MatND& hist,
- Mat& backProject, const float** ranges,
- double scale=1, bool uniform=true );
- CV_EXPORTS void calcBackProject( const Mat* images, int nimages,
- const int* channels, const SparseMat& hist,
- Mat& backProject, const float** ranges,
- double scale=1, bool uniform=true );
- CV_EXPORTS double compareHist( const MatND& H1, const MatND& H2, int method );
- CV_EXPORTS double compareHist( const SparseMat& H1, const SparseMat& H2, int method );
- CV_EXPORTS void equalizeHist( const Mat& src, Mat& dst );
- CV_EXPORTS void watershed( const Mat& image, Mat& markers );
- enum { INPAINT_NS=CV_INPAINT_NS, INPAINT_TELEA=CV_INPAINT_TELEA };
- CV_EXPORTS void inpaint( const Mat& src, const Mat& inpaintMask,
- Mat& dst, double inpaintRange, int flags );
- CV_EXPORTS void distanceTransform( const Mat& src, Mat& dst, Mat& labels,
- int distanceType, int maskSize );
- CV_EXPORTS void distanceTransform( const Mat& src, Mat& dst,
- int distanceType, int maskSize );
- enum { FLOODFILL_FIXED_RANGE = 1 << 16,
- FLOODFILL_MASK_ONLY = 1 << 17 };
- CV_EXPORTS int floodFill( Mat& image,
- Point seedPoint, Scalar newVal, Rect* rect=0,
- Scalar loDiff=Scalar(), Scalar upDiff=Scalar(),
- int flags=4 );
- CV_EXPORTS int floodFill( Mat& image, Mat& mask,
- Point seedPoint, Scalar newVal, Rect* rect=0,
- Scalar loDiff=Scalar(), Scalar upDiff=Scalar(),
- int flags=4 );
- CV_EXPORTS void cvtColor( const Mat& src, Mat& dst, int code, int dstCn=0 );
- class CV_EXPORTS Moments
- {
- public:
- Moments();
- Moments(double m00, double m10, double m01, double m20, double m11,
- double m02, double m30, double m21, double m12, double m03 );
- Moments( const CvMoments& moments );
- operator CvMoments() const;
- double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; // spatial moments
- double mu20, mu11, mu02, mu30, mu21, mu12, mu03; // central moments
- double nu20, nu11, nu02, nu30, nu21, nu12, nu03; // central normalized moments
- };
- CV_EXPORTS Moments moments( const Mat& array, bool binaryImage=false );
- CV_EXPORTS void HuMoments( const Moments& moments, double hu[7] );
- enum { TM_SQDIFF=CV_TM_SQDIFF, TM_SQDIFF_NORMED=CV_TM_SQDIFF_NORMED,
- TM_CCORR=CV_TM_CCORR, TM_CCORR_NORMED=CV_TM_CCORR_NORMED,
- TM_CCOEFF=CV_TM_CCOEFF, TM_CCOEFF_NORMED=CV_TM_CCOEFF_NORMED };
- CV_EXPORTS void matchTemplate( const Mat& image, const Mat& templ, Mat& result, int method );
- enum { RETR_EXTERNAL=CV_RETR_EXTERNAL, RETR_LIST=CV_RETR_LIST,
- RETR_CCOMP=CV_RETR_CCOMP, RETR_TREE=CV_RETR_TREE };
- enum { CHAIN_APPROX_NONE=CV_CHAIN_APPROX_NONE,
- CHAIN_APPROX_SIMPLE=CV_CHAIN_APPROX_SIMPLE,
- CHAIN_APPROX_TC89_L1=CV_CHAIN_APPROX_TC89_L1,
- CHAIN_APPROX_TC89_KCOS=CV_CHAIN_APPROX_TC89_KCOS };
- CV_EXPORTS void findContours( const Mat& image, vector<vector<Point> >& contours,
- vector<Vec4i>& hierarchy, int mode,
- int method, Point offset=Point());
- CV_EXPORTS void findContours( const Mat& image, vector<vector<Point> >& contours,
- int mode, int method, Point offset=Point());
- CV_EXPORTS void drawContours( Mat& image, const vector<vector<Point> >& contours,
- int contourIdx, const Scalar& color,
- int thickness=1, int lineType=8,
- const vector<Vec4i>& hierarchy=vector<Vec4i>(),
- int maxLevel=INT_MAX, Point offset=Point() );
- CV_EXPORTS void approxPolyDP( const Mat& curve,
- vector<Point>& approxCurve,
- double epsilon, bool closed );
- CV_EXPORTS void approxPolyDP( const Mat& curve,
- vector<Point2f>& approxCurve,
- double epsilon, bool closed );
- CV_EXPORTS double arcLength( const Mat& curve, bool closed );
- CV_EXPORTS Rect boundingRect( const Mat& points );
- CV_EXPORTS double contourArea( const Mat& contour );
- CV_EXPORTS RotatedRect minAreaRect( const Mat& points );
- CV_EXPORTS void minEnclosingCircle( const Mat& points,
- Point2f& center, float& radius );
- CV_EXPORTS double matchShapes( const Mat& contour1,
- const Mat& contour2,
- int method, double parameter );
- CV_EXPORTS void convexHull( const Mat& points, vector<int>& hull, bool clockwise=false );
- CV_EXPORTS void convexHull( const Mat& points, vector<Point>& hull, bool clockwise=false );
- CV_EXPORTS void convexHull( const Mat& points, vector<Point2f>& hull, bool clockwise=false );
- CV_EXPORTS bool isContourConvex( const Mat& contour );
- CV_EXPORTS RotatedRect fitEllipse( const Mat& points );
- CV_EXPORTS void fitLine( const Mat& points, Vec4f& line, int distType,
- double param, double reps, double aeps );
- CV_EXPORTS void fitLine( const Mat& points, Vec6f& line, int distType,
- double param, double reps, double aeps );
- CV_EXPORTS double pointPolygonTest( const Mat& contour,
- Point2f pt, bool measureDist );
- CV_EXPORTS Mat estimateRigidTransform( const Mat& A, const Mat& B,
- bool fullAffine );
- CV_EXPORTS void updateMotionHistory( const Mat& silhouette, Mat& mhi,
- double timestamp, double duration );
- CV_EXPORTS void calcMotionGradient( const Mat& mhi, Mat& mask,
- Mat& orientation,
- double delta1, double delta2,
- int apertureSize=3 );
- CV_EXPORTS double calcGlobalOrientation( const Mat& orientation, const Mat& mask,
- const Mat& mhi, double timestamp,
- double duration );
- // TODO: need good API for cvSegmentMotion
- CV_EXPORTS RotatedRect CamShift( const Mat& probImage, Rect& window,
- TermCriteria criteria );
- CV_EXPORTS int meanShift( const Mat& probImage, Rect& window,
- TermCriteria criteria );
- CV_EXPORTS int estimateAffine3D(const Mat& from, const Mat& to, Mat& out,
- vector<uchar>& outliers,
- double param1 = 3.0, double param2 = 0.99);
- class CV_EXPORTS KalmanFilter
- {
- public:
- KalmanFilter();
- KalmanFilter(int dynamParams, int measureParams, int controlParams=0);
- void init(int dynamParams, int measureParams, int controlParams=0);
- const Mat& predict(const Mat& control=Mat());
- const Mat& correct(const Mat& measurement);
- Mat statePre; // predicted state (x'(k)):
- // x(k)=A*x(k-1)+B*u(k)
- Mat statePost; // corrected state (x(k)):
- // x(k)=x'(k)+K(k)*(z(k)-H*x'(k))
- Mat transitionMatrix; // state transition matrix (A)
- Mat controlMatrix; // control matrix (B)
- // (it is not used if there is no control)
- Mat measurementMatrix; // measurement matrix (H)
- Mat processNoiseCov; // process noise covariance matrix (Q)
- Mat measurementNoiseCov;// measurement noise covariance matrix (R)
- Mat errorCovPre; // priori error estimate covariance matrix (P'(k)):
- // P'(k)=A*P(k-1)*At + Q)*/
- Mat gain; // Kalman gain matrix (K(k)):
- // K(k)=P'(k)*Ht*inv(H*P'(k)*Ht+R)
- Mat errorCovPost; // posteriori error estimate covariance matrix (P(k)):
- // P(k)=(I-K(k)*H)*P'(k)
- Mat temp1; // temporary matrices
- Mat temp2;
- Mat temp3;
- Mat temp4;
- Mat temp5;
- };
- ///////////////////////////// Object Detection ////////////////////////////
- CV_EXPORTS void groupRectangles(vector<Rect>& rectList, int groupThreshold, double eps=0.2);
- class CV_EXPORTS FeatureEvaluator
- {
- public:
- enum { HAAR = 0, LBP = 1 };
- virtual ~FeatureEvaluator();
- virtual bool read(const FileNode& node);
- virtual Ptr<FeatureEvaluator> clone() const;
- virtual int getFeatureType() const;
- virtual bool setImage(const Mat&, Size origWinSize);
- virtual bool setWindow(Point p);
- virtual double calcOrd(int featureIdx) const;
- virtual int calcCat(int featureIdx) const;
- static Ptr<FeatureEvaluator> create(int type);
- };
- template<> inline void Ptr<CvHaarClassifierCascade>::delete_obj()
- { cvReleaseHaarClassifierCascade(&obj); }
- class CV_EXPORTS CascadeClassifier
- {
- public:
- struct CV_EXPORTS DTreeNode
- {
- int featureIdx;
- float threshold; // for ordered features only
- int left;
- int right;
- };
- struct CV_EXPORTS DTree
- {
- int nodeCount;
- };
- struct CV_EXPORTS Stage
- {
- int first;
- int ntrees;
- float threshold;
- };
- enum { BOOST = 0 };
- enum { DO_CANNY_PRUNING = CV_HAAR_DO_CANNY_PRUNING,
- SCALE_IMAGE = CV_HAAR_SCALE_IMAGE,
- FIND_BIGGEST_OBJECT = CV_HAAR_FIND_BIGGEST_OBJECT,
- DO_ROUGH_SEARCH = CV_HAAR_DO_ROUGH_SEARCH };
- CascadeClassifier();
- CascadeClassifier(const string& filename);
- ~CascadeClassifier();
- bool empty() const;
- bool load(const string& filename);
- bool read(const FileNode& node);
- void detectMultiScale( const Mat& image,
- vector<Rect>& objects,
- double scaleFactor=1.1,
- int minNeighbors=3, int flags=0,
- Size minSize=Size());
- bool setImage( Ptr<FeatureEvaluator>&, const Mat& );
- int runAt( Ptr<FeatureEvaluator>&, Point );
- bool is_stump_based;
- int stageType;
- int featureType;
- int ncategories;
- Size origWinSize;
- vector<Stage> stages;
- vector<DTree> classifiers;
- vector<DTreeNode> nodes;
- vector<float> leaves;
- vector<int> subsets;
- Ptr<FeatureEvaluator> feval;
- Ptr<CvHaarClassifierCascade> oldCascade;
- };
- CV_EXPORTS void undistortPoints( const Mat& src, vector<Point2f>& dst,
- const Mat& cameraMatrix, const Mat& distCoeffs,
- const Mat& R=Mat(), const Mat& P=Mat());
- CV_EXPORTS void undistortPoints( const Mat& src, Mat& dst,
- const Mat& cameraMatrix, const Mat& distCoeffs,
- const Mat& R=Mat(), const Mat& P=Mat());
- CV_EXPORTS void Rodrigues(const Mat& src, Mat& dst);
- CV_EXPORTS void Rodrigues(const Mat& src, Mat& dst, Mat& jacobian);
- enum { LMEDS=4, RANSAC=8 };
- CV_EXPORTS Mat findHomography( const Mat& srcPoints,
- const Mat& dstPoints,
- Mat& mask, int method=0,
- double ransacReprojThreshold=0 );
- CV_EXPORTS Mat findHomography( const Mat& srcPoints,
- const Mat& dstPoints,
- vector<uchar>& mask, int method=0,
- double ransacReprojThreshold=0 );
- CV_EXPORTS Mat findHomography( const Mat& srcPoints,
- const Mat& dstPoints,
- int method=0, double ransacReprojThreshold=0 );
- /* Computes RQ decomposition for 3x3 matrices */
- CV_EXPORTS void RQDecomp3x3( const Mat& M, Mat& R, Mat& Q );
- CV_EXPORTS Vec3d RQDecomp3x3( const Mat& M, Mat& R, Mat& Q,
- Mat& Qx, Mat& Qy, Mat& Qz );
- CV_EXPORTS void decomposeProjectionMatrix( const Mat& projMatrix, Mat& cameraMatrix,
- Mat& rotMatrix, Mat& transVect );
- CV_EXPORTS void decomposeProjectionMatrix( const Mat& projMatrix, Mat& cameraMatrix,
- Mat& rotMatrix, Mat& transVect,
- Mat& rotMatrixX, Mat& rotMatrixY,
- Mat& rotMatrixZ, Vec3d& eulerAngles );
- CV_EXPORTS void matMulDeriv( const Mat& A, const Mat& B, Mat& dABdA, Mat& dABdB );
- CV_EXPORTS void composeRT( const Mat& rvec1, const Mat& tvec1,
- const Mat& rvec2, const Mat& tvec2,
- Mat& rvec3, Mat& tvec3 );
- CV_EXPORTS void composeRT( const Mat& rvec1, const Mat& tvec1,
- const Mat& rvec2, const Mat& tvec2,
- Mat& rvec3, Mat& tvec3,
- Mat& dr3dr1, Mat& dr3dt1,
- Mat& dr3dr2, Mat& dr3dt2,
- Mat& dt3dr1, Mat& dt3dt1,
- Mat& dt3dr2, Mat& dt3dt2 );
- CV_EXPORTS void projectPoints( const Mat& objectPoints,
- const Mat& rvec, const Mat& tvec,
- const Mat& cameraMatrix,
- const Mat& distCoeffs,
- vector<Point2f>& imagePoints );
- CV_EXPORTS void projectPoints( const Mat& objectPoints,
- const Mat& rvec, const Mat& tvec,
- const Mat& cameraMatrix,
- const Mat& distCoeffs,
- vector<Point2f>& imagePoints,
- Mat& dpdrot, Mat& dpdt, Mat& dpdf,
- Mat& dpdc, Mat& dpddist,
- double aspectRatio=0 );
- CV_EXPORTS void solvePnP( const Mat& objectPoints,
- const Mat& imagePoints,
- const Mat& cameraMatrix,
- const Mat& distCoeffs,
- Mat& rvec, Mat& tvec,
- bool useExtrinsicGuess=false );
- CV_EXPORTS Mat initCameraMatrix2D( const vector<vector<Point3f> >& objectPoints,
- const vector<vector<Point2f> >& imagePoints,
- Size imageSize, double aspectRatio=1. );
- enum { CALIB_CB_ADAPTIVE_THRESH = CV_CALIB_CB_ADAPTIVE_THRESH,
- CALIB_CB_NORMALIZE_IMAGE = CV_CALIB_CB_NORMALIZE_IMAGE,
- CALIB_CB_FILTER_QUADS = CV_CALIB_CB_FILTER_QUADS };
- CV_EXPORTS bool findChessboardCorners( const Mat& image, Size patternSize,
- vector<Point2f>& corners,
- int flags=CV_CALIB_CB_ADAPTIVE_THRESH+
- CV_CALIB_CB_NORMALIZE_IMAGE );
- CV_EXPORTS void drawChessboardCorners( Mat& image, Size patternSize,
- const Mat& corners,
- bool patternWasFound );
- enum
- {
- CALIB_USE_INTRINSIC_GUESS = CV_CALIB_USE_INTRINSIC_GUESS,
- CALIB_FIX_ASPECT_RATIO = CV_CALIB_FIX_ASPECT_RATIO,
- CALIB_FIX_PRINCIPAL_POINT = CV_CALIB_FIX_PRINCIPAL_POINT,
- CALIB_ZERO_TANGENT_DIST = CV_CALIB_ZERO_TANGENT_DIST,
- CALIB_FIX_FOCAL_LENGTH = CV_CALIB_FIX_FOCAL_LENGTH,
- CALIB_FIX_K1 = CV_CALIB_FIX_K1,
- CALIB_FIX_K2 = CV_CALIB_FIX_K2,
- CALIB_FIX_K3 = CV_CALIB_FIX_K3,
- // only for stereo
- CALIB_FIX_INTRINSIC = CV_CALIB_FIX_INTRINSIC,
- CALIB_SAME_FOCAL_LENGTH = CV_CALIB_SAME_FOCAL_LENGTH,
- // for stereo rectification
- CALIB_ZERO_DISPARITY = CV_CALIB_ZERO_DISPARITY
- };
- CV_EXPORTS void calibrateCamera( const vector<vector<Point3f> >& objectPoints,
- const vector<vector<Point2f> >& imagePoints,
- Size imageSize,
- Mat& cameraMatrix, Mat& distCoeffs,
- vector<Mat>& rvecs, vector<Mat>& tvecs,
- int flags=0 );
- CV_EXPORTS void calibrationMatrixValues( const Mat& cameraMatrix,
- Size imageSize,
- double apertureWidth,
- double apertureHeight,
- double& fovx,
- double& fovy,
- double& focalLength,
- Point2d& principalPoint,
- double& aspectRatio );
- CV_EXPORTS void stereoCalibrate( const vector<vector<Point3f> >& objectPoints,
- const vector<vector<Point2f> >& imagePoints1,
- const vector<vector<Point2f> >& imagePoints2,
- Mat& cameraMatrix1, Mat& distCoeffs1,
- Mat& cameraMatrix2, Mat& distCoeffs2,
- Size imageSize, Mat& R, Mat& T,
- Mat& E, Mat& F,
- TermCriteria criteria = TermCriteria(TermCriteria::COUNT+
- TermCriteria::EPS, 30, 1e-6),
- int flags=CALIB_FIX_INTRINSIC );
- CV_EXPORTS void stereoRectify( const Mat& cameraMatrix1, const Mat& distCoeffs1,
- const Mat& cameraMatrix2, const Mat& distCoeffs2,
- Size imageSize, const Mat& R, const Mat& T,
- Mat& R1, Mat& R2, Mat& P1, Mat& P2, Mat& Q,
- int flags=CALIB_ZERO_DISPARITY );
- CV_EXPORTS bool stereoRectifyUncalibrated( const Mat& points1,
- const Mat& points2,
- const Mat& F, Size imgSize,
- Mat& H1, Mat& H2,
- double threshold=5 );
- CV_EXPORTS void convertPointsHomogeneous( const Mat& src, vector<Point3f>& dst );
- CV_EXPORTS void convertPointsHomogeneous( const Mat& src, vector<Point2f>& dst );
- enum
- {
- FM_7POINT = CV_FM_7POINT,
- FM_8POINT = CV_FM_8POINT,
- FM_LMEDS = CV_FM_LMEDS,
- FM_RANSAC = CV_FM_RANSAC
- };
- CV_EXPORTS Mat findFundamentalMat( const Mat& points1, const Mat& points2,
- vector<uchar>& mask, int method=FM_RANSAC,
- double param1=3., double param2=0.99 );
- CV_EXPORTS Mat findFundamentalMat( const Mat& points1, const Mat& points2,
- int method=FM_RANSAC,
- double param1=3., double param2=0.99 );
- CV_EXPORTS void computeCorrespondEpilines( const Mat& points1,
- int whichImage, const Mat& F,
- vector<Vec3f>& lines );
- template<> inline void Ptr<CvStereoBMState>::delete_obj()
- { cvReleaseStereoBMState(&obj); }
- // Block matching stereo correspondence algorithm
- class CV_EXPORTS StereoBM
- {
- public:
- enum { NORMALIZED_RESPONSE = CV_STEREO_BM_NORMALIZED_RESPONSE,
- BASIC_PRESET=CV_STEREO_BM_BASIC,
- FISH_EYE_PRESET=CV_STEREO_BM_FISH_EYE,
- NARROW_PRESET=CV_STEREO_BM_NARROW };
- StereoBM();
- StereoBM(int preset, int ndisparities=0, int SADWindowSize=21);
- void init(int preset, int ndisparities=0, int SADWindowSize=21);
- void operator()( const Mat& left, const Mat& right, Mat& disparity );
- Ptr<CvStereoBMState> state;
- };
- CV_EXPORTS void reprojectImageTo3D( const Mat& disparity,
- Mat& _3dImage, const Mat& Q,
- bool handleMissingValues=false );
- class CV_EXPORTS KeyPoint
- {
- public:
- KeyPoint() : pt(0,0), size(0), angle(-1), response(0), octave(0), class_id(-1) {}
- KeyPoint(Point2f _pt, float _size, float _angle=-1,
- float _response=0, int _octave=0, int _class_id=-1)
- : pt(_pt), size(_size), angle(_angle),
- response(_response), octave(_octave), class_id(_class_id) {}
- KeyPoint(float x, float y, float _size, float _angle=-1,
- float _response=0, int _octave=0, int _class_id=-1)
- : pt(x, y), size(_size), angle(_angle),
- response(_response), octave(_octave), class_id(_class_id) {}
- Point2f pt;
- float size;
- float angle;
- float response;
- int octave;
- int class_id;
- };
- CV_EXPORTS void write(FileStorage& fs, const string& name, const vector<KeyPoint>& keypoints);
- CV_EXPORTS void read(const FileNode& node, vector<KeyPoint>& keypoints);
- class CV_EXPORTS SURF : public CvSURFParams
- {
- public:
- SURF();
- SURF(double _hessianThreshold, int _nOctaves=4,
- int _nOctaveLayers=2, bool _extended=false);
- int descriptorSize() const;
- void operator()(const Mat& img, const Mat& mask,
- vector<KeyPoint>& keypoints) const;
- void operator()(const Mat& img, const Mat& mask,
- vector<KeyPoint>& keypoints,
- vector<float>& descriptors,
- bool useProvidedKeypoints=false) const;
- };
- class CV_EXPORTS MSER : public CvMSERParams
- {
- public:
- MSER();
- MSER( int _delta, int _min_area, int _max_area,
- float _max_variation, float _min_diversity,
- int _max_evolution, double _area_threshold,
- double _min_margin, int _edge_blur_size );
- void operator()(Mat& image, vector<vector<Point> >& msers, const Mat& mask) const;
- };
- class CV_EXPORTS StarDetector : CvStarDetectorParams
- {
- public:
- StarDetector();
- StarDetector(int _maxSize, int _responseThreshold,
- int _lineThresholdProjected,
- int _lineThresholdBinarized,
- int _suppressNonmaxSize);
- void operator()(const Mat& image, vector<KeyPoint>& keypoints) const;
- };
- }
- //////////////////////////////////////////////////////////////////////////////////////////
- class CV_EXPORTS CvLevMarq
- {
- public:
- CvLevMarq();
- CvLevMarq( int nparams, int nerrs, CvTermCriteria criteria=
- cvTermCriteria(CV_TERMCRIT_EPS+CV_TERMCRIT_ITER,30,DBL_EPSILON),
- bool completeSymmFlag=false );
- ~CvLevMarq();
- void init( int nparams, int nerrs, CvTermCriteria criteria=
- cvTermCriteria(CV_TERMCRIT_EPS+CV_TERMCRIT_ITER,30,DBL_EPSILON),
- bool completeSymmFlag=false );
- bool update( const CvMat*& param, CvMat*& J, CvMat*& err );
- bool updateAlt( const CvMat*& param, CvMat*& JtJ, CvMat*& JtErr, double*& errNorm );
- void clear();
- void step();
- enum { DONE=0, STARTED=1, CALC_J=2, CHECK_ERR=3 };
- CvMat* mask;
- CvMat* prevParam;
- CvMat* param;
- CvMat* J;
- CvMat* err;
- CvMat* JtJ;
- CvMat* JtJN;
- CvMat* JtErr;
- CvMat* JtJV;
- CvMat* JtJW;
- double prevErrNorm, errNorm;
- int lambdaLg10;
- CvTermCriteria criteria;
- int state;
- int iters;
- bool completeSymmFlag;
- };
- // 2009-01-12, Xavier Delacour <xavier.delacour@gmail.com>
- struct lsh_hash {
- int h1, h2;
- };
- struct CvLSHOperations
- {
- virtual ~CvLSHOperations() {}
- virtual int vector_add(const void* data) = 0;
- virtual void vector_remove(int i) = 0;
- virtual const void* vector_lookup(int i) = 0;
- virtual void vector_reserve(int n) = 0;
- virtual unsigned int vector_count() = 0;
- virtual void hash_insert(lsh_hash h, int l, int i) = 0;
- virtual void hash_remove(lsh_hash h, int l, int i) = 0;
- virtual int hash_lookup(lsh_hash h, int l, int* ret_i, int ret_i_max) = 0;
- };
- #endif /* __cplusplus */
- #endif /* _CV_HPP_ */
- /* End of file. */