repaired Python bindings for functions using InputOutputArray
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@ -561,8 +561,8 @@ enum
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CV_EXPORTS_W double calibrateCamera( InputArrayOfArrays objectPoints,
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InputArrayOfArrays imagePoints,
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Size imageSize,
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CV_IN_OUT InputOutputArray cameraMatrix,
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CV_IN_OUT InputOutputArray distCoeffs,
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CV_OUT InputOutputArray cameraMatrix,
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CV_OUT InputOutputArray distCoeffs,
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OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs,
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int flags=0 );
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@ -581,10 +581,10 @@ CV_EXPORTS_W void calibrationMatrixValues( InputArray cameraMatrix,
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CV_EXPORTS_W double stereoCalibrate( InputArrayOfArrays objectPoints,
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InputArrayOfArrays imagePoints1,
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InputArrayOfArrays imagePoints2,
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CV_IN_OUT InputOutputArray cameraMatrix1,
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CV_IN_OUT InputOutputArray distCoeffs1,
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CV_IN_OUT InputOutputArray cameraMatrix2,
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CV_IN_OUT InputOutputArray distCoeffs2,
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CV_OUT InputOutputArray cameraMatrix1,
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CV_OUT InputOutputArray distCoeffs1,
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CV_OUT InputOutputArray cameraMatrix2,
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CV_OUT InputOutputArray distCoeffs2,
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Size imageSize, OutputArray R,
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OutputArray T, OutputArray E, OutputArray F,
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TermCriteria criteria = TermCriteria(TermCriteria::COUNT+
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@ -2392,7 +2392,7 @@ CV_EXPORTS void polylines(Mat& img, const Point** pts, const int* npts,
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CV_EXPORTS bool clipLine(Size imgSize, CV_IN_OUT Point& pt1, CV_IN_OUT Point& pt2);
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//! clips the line segment by the rectangle imgRect
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CV_EXPORTS_W bool clipLine(Rect imgRect, CV_IN_OUT Point& pt1, CV_IN_OUT Point& pt2);
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CV_EXPORTS_W bool clipLine(Rect imgRect, CV_OUT CV_IN_OUT Point& pt1, CV_OUT CV_IN_OUT Point& pt2);
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/*!
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Line iterator class
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@ -574,16 +574,16 @@ CV_EXPORTS_AS(integral3) void integral( InputArray src, OutputArray sum,
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int sdepth=-1 );
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//! adds image to the accumulator (dst += src). Unlike cv::add, dst and src can have different types.
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CV_EXPORTS_W void accumulate( InputArray src, CV_IN_OUT InputOutputArray dst,
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CV_EXPORTS_W void accumulate( InputArray src, CV_OUT InputOutputArray dst,
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InputArray mask=noArray() );
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//! adds squared src image to the accumulator (dst += src*src).
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CV_EXPORTS_W void accumulateSquare( InputArray src, CV_IN_OUT InputOutputArray dst,
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CV_EXPORTS_W void accumulateSquare( InputArray src, CV_OUT InputOutputArray dst,
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InputArray mask=noArray() );
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//! adds product of the 2 images to the accumulator (dst += src1*src2).
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CV_EXPORTS_W void accumulateProduct( InputArray src1, InputArray src2,
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CV_IN_OUT InputOutputArray dst, InputArray mask=noArray() );
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CV_OUT InputOutputArray dst, InputArray mask=noArray() );
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//! updates the running average (dst = dst*(1-alpha) + src*alpha)
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CV_EXPORTS_W void accumulateWeighted( InputArray src, CV_IN_OUT InputOutputArray dst,
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CV_EXPORTS_W void accumulateWeighted( InputArray src, CV_OUT InputOutputArray dst,
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double alpha, InputArray mask=noArray() );
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//! type of the threshold operation
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@ -417,7 +417,7 @@ void cv::accumulateProduct( InputArray _src1, InputArray _src2,
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}
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void cv::accumulateWeighted( InputArray _src, CV_IN_OUT InputOutputArray _dst,
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void cv::accumulateWeighted( InputArray _src, InputOutputArray _dst,
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double alpha, InputArray _mask )
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{
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Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
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@ -278,10 +278,12 @@ class ArgInfo(object):
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self.arraycvt = None
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self.inputarg = True
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self.outputarg = False
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self.returnarg = False
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for m in arg_tuple[3]:
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if m == "/O":
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self.inputarg = False
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self.outputarg = True
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self.returnarg = True
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elif m == "/IO":
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self.inputarg = True
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self.outputarg = True
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@ -353,7 +355,7 @@ class FuncVariant(object):
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argno += 1
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if a.name in self.array_counters:
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continue
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if a.outputarg:
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if a.returnarg:
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outlist.append((a.name, argno))
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if not a.inputarg:
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if a.isbig():
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@ -213,82 +213,6 @@ CV_WRAP static inline void findCirclesGridDefault( InputArray image, Size patter
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{
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findCirclesGrid(image, patternSize, centers, flags);
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}
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/*
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//! initializes camera matrix from a few 3D points and the corresponding projections.
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CV_WRAP static inline Mat initCameraMatrix2D( const vector<Mat>& objectPoints,
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const vector<Mat>& imagePoints,
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Size imageSize, double aspectRatio=1. )
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{
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vector<vector<Point3f> > _objectPoints;
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vector<vector<Point2f> > _imagePoints;
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mv2vv(objectPoints, _objectPoints);
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mv2vv(imagePoints, _imagePoints);
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return initCameraMatrix2D(_objectPoints, _imagePoints, imageSize, aspectRatio);
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}
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CV_WRAP static inline double calibrateCamera( const vector<Mat>& objectPoints,
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const vector<Mat>& imagePoints,
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Size imageSize,
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CV_IN_OUT Mat& cameraMatrix,
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CV_IN_OUT Mat& distCoeffs,
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vector<Mat>& rvecs, vector<Mat>& tvecs,
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int flags=0 )
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{
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vector<vector<Point3f> > _objectPoints;
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vector<vector<Point2f> > _imagePoints;
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mv2vv(objectPoints, _objectPoints);
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mv2vv(imagePoints, _imagePoints);
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return calibrateCamera(_objectPoints, _imagePoints, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags);
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}
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CV_WRAP static inline double stereoCalibrate( const vector<Mat>& objectPoints,
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const vector<Mat>& imagePoints1,
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const vector<Mat>& imagePoints2,
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CV_IN_OUT Mat& cameraMatrix1, CV_IN_OUT Mat& distCoeffs1,
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CV_IN_OUT Mat& cameraMatrix2, CV_IN_OUT Mat& distCoeffs2,
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Size imageSize, CV_OUT Mat& R, CV_OUT Mat& T,
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CV_OUT Mat& E, CV_OUT Mat& F,
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TermCriteria criteria = TermCriteria(TermCriteria::COUNT+
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TermCriteria::EPS, 30, 1e-6),
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int flags=CALIB_FIX_INTRINSIC )
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{
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vector<vector<Point3f> > _objectPoints;
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vector<vector<Point2f> > _imagePoints1;
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vector<vector<Point2f> > _imagePoints2;
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mv2vv(objectPoints, _objectPoints);
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mv2vv(imagePoints1, _imagePoints1);
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mv2vv(imagePoints2, _imagePoints2);
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return stereoCalibrate(_objectPoints, _imagePoints1, _imagePoints2, cameraMatrix1, distCoeffs1,
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cameraMatrix2, distCoeffs2, imageSize, R, T, E, F, criteria, flags);
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}
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CV_WRAP static inline float rectify3Collinear( const Mat& cameraMatrix1, const Mat& distCoeffs1,
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const Mat& cameraMatrix2, const Mat& distCoeffs2,
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const Mat& cameraMatrix3, const Mat& distCoeffs3,
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const vector<Mat>& imgpt1, const vector<Mat>& imgpt3,
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Size imageSize, const Mat& R12, const Mat& T12,
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const Mat& R13, const Mat& T13,
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CV_OUT Mat& R1, CV_OUT Mat& R2, CV_OUT Mat& R3,
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CV_OUT Mat& P1, CV_OUT Mat& P2, CV_OUT Mat& P3, CV_OUT Mat& Q,
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double alpha, Size newImgSize,
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CV_OUT Rect* roi1, CV_OUT Rect* roi2, int flags )
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{
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vector<vector<Point2f> > _imagePoints1;
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vector<vector<Point2f> > _imagePoints3;
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mv2vv(imgpt1, _imagePoints1);
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mv2vv(imgpt3, _imagePoints3);
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return rectify3Collinear(cameraMatrix1, distCoeffs1,
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cameraMatrix2, distCoeffs2,
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cameraMatrix3, distCoeffs3,
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_imagePoints1, _imagePoints3, imageSize,
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R12, T12, R13, T13, R1, R2, R3, P1, P2, P3,
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Q, alpha, newImgSize, roi1, roi2, flags);
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}
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*/
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}
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@ -263,11 +263,11 @@ CV_EXPORTS_W void segmentMotion(InputArray mhi, OutputArray segmask,
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double timestamp, double segThresh);
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//! updates the object tracking window using CAMSHIFT algorithm
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CV_EXPORTS_W RotatedRect CamShift( InputArray probImage, CV_IN_OUT Rect& window,
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CV_EXPORTS_W RotatedRect CamShift( InputArray probImage, CV_OUT CV_IN_OUT Rect& window,
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TermCriteria criteria );
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//! updates the object tracking window using meanshift algorithm
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CV_EXPORTS_W int meanShift( InputArray probImage, CV_IN_OUT Rect& window,
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CV_EXPORTS_W int meanShift( InputArray probImage, CV_OUT CV_IN_OUT Rect& window,
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TermCriteria criteria );
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/*!
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