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almost finished Python wrappers

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This commit is contained in:
Vadim Pisarevsky
2010-11-02 17:58:22 +00:00
parent eda72a3e8b
commit 5b6a755719
27 changed files with 1292 additions and 634 deletions
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20
modules/imgproc/include/opencv2/imgproc/imgproc.hpp
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@@ -459,23 +459,23 @@ CV_EXPORTS void cornerSubPix( const Mat& image, vector<Point2f>& corners,
TermCriteria criteria );
//! finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima
CV_EXPORTS void goodFeaturesToTrack( const Mat& image, CV_OUT vector<Point2f>& corners,
CV_EXPORTS_W void goodFeaturesToTrack( const Mat& image, CV_OUT vector<Point2f>& corners,
int maxCorners, double qualityLevel, double minDistance,
const Mat& mask=Mat(), int blockSize=3,
bool useHarrisDetector=false, double k=0.04 );
//! finds lines in the black-n-white image using the standard or pyramid Hough transform
CV_EXPORTS void HoughLines( const Mat& image, CV_OUT vector<Vec2f>& lines,
CV_EXPORTS_W void HoughLines( const Mat& image, CV_OUT vector<Vec2f>& lines,
double rho, double theta, int threshold,
double srn=0, double stn=0 );
//! finds line segments in the black-n-white image using probabalistic Hough transform
CV_EXPORTS void HoughLinesP( Mat& image, CV_OUT vector<Vec4i>& lines,
CV_EXPORTS_W void HoughLinesP( Mat& image, CV_OUT vector<Vec4i>& lines,
double rho, double theta, int threshold,
double minLineLength=0, double maxLineGap=0 );
//! finds circles in the grayscale image using 2+1 gradient Hough transform
CV_EXPORTS void HoughCircles( const Mat& image, CV_OUT vector<Vec3f>& circles,
CV_EXPORTS_W void HoughCircles( const Mat& image, CV_OUT vector<Vec3f>& circles,
int method, double dp, double minDist,
double param1=100, double param2=100,
int minRadius=0, int maxRadius=0 );
@@ -716,13 +716,13 @@ enum { FLOODFILL_FIXED_RANGE = 1 << 16,
//! fills the semi-uniform image region starting from the specified seed point
CV_EXPORTS_W int floodFill( Mat& image,
Point seedPoint, Scalar newVal, Rect* rect=0,
Point seedPoint, Scalar newVal, CV_OUT Rect* rect=0,
Scalar loDiff=Scalar(), Scalar upDiff=Scalar(),
int flags=4 );
//! fills the semi-uniform image region and/or the mask starting from the specified seed point
CV_EXPORTS_AS(floodFillMask) int floodFill( Mat& image, Mat& mask,
Point seedPoint, Scalar newVal, Rect* rect=0,
Point seedPoint, Scalar newVal, CV_OUT Rect* rect=0,
Scalar loDiff=Scalar(), Scalar upDiff=Scalar(),
int flags=4 );
@@ -730,7 +730,7 @@ CV_EXPORTS_AS(floodFillMask) int floodFill( Mat& image, Mat& mask,
CV_EXPORTS_W void cvtColor( const Mat& src, CV_OUT Mat& dst, int code, int dstCn=0 );
//! raster image moments
class CV_EXPORTS Moments
class CV_EXPORTS_W_MAP Moments
{
public:
//! the default constructor
@@ -744,11 +744,11 @@ public:
operator CvMoments() const;
//! spatial moments
double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03;
CV_PROP_RW double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03;
//! central moments
double mu20, mu11, mu02, mu30, mu21, mu12, mu03;
CV_PROP_RW double mu20, mu11, mu02, mu30, mu21, mu12, mu03;
//! central normalized moments
double nu20, nu11, nu02, nu30, nu21, nu12, nu03;
CV_PROP_RW double nu20, nu11, nu02, nu30, nu21, nu12, nu03;
};
//! computes moments of the rasterized shape or a vector of points