:param numDisparities: the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to ``numDisparities``. The search range can then be shifted by changing the minimum disparity.
...
...
@@ -1231,7 +1231,7 @@ Creates StereoSGBM object
.. ocv:function:: Ptr<StereoSGBM> createStereoSGBM( int minDisparity, int numDisparities, int blockSize, int P1=0, int P2=0, int disp12MaxDiff=0, int preFilterCap=0, int uniquenessRatio=0, int speckleWindowSize=0, int speckleRange=0, int mode=StereoSGBM::MODE_SGBM)
:param minDisparity: Minimum possible disparity value. Normally, it is zero but sometimes rectification algorithms can shift images, so this parameter needs to be adjusted accordingly.
.. ocv:function:: template<typename T, int m, int n> explicit Mat::Mat(const Matx<T, m, n>& vec, bool copyData=true)
...
...
@@ -1641,33 +1629,6 @@ The operators make a new header for the specified sub-array of ``*this`` . They
:ocv:func:`Mat::colRange` . For example, ``A(Range(0, 10), Range::all())`` is equivalent to ``A.rowRange(0, 10)`` . Similarly to all of the above, the operators are O(1) operations, that is, no matrix data is copied.
Mat::operator CvMat
-------------------
Creates the ``CvMat`` header for the matrix.
.. ocv:function:: Mat::operator CvMat() const
The operator creates the ``CvMat`` header for the matrix without copying the underlying data. The reference counter is not taken into account by this operation. Thus, you should make sure than the original matrix is not deallocated while the ``CvMat`` header is used. The operator is useful for intermixing the new and the old OpenCV API's, for example: ::
Mat img(Size(320, 240), CV_8UC3);
...
CvMat cvimg = img;
mycvOldFunc( &cvimg, ...);
where ``mycvOldFunc`` is a function written to work with OpenCV 1.x data structures.
Mat::operator IplImage
----------------------
Creates the ``IplImage`` header for the matrix.
.. ocv:function:: Mat::operator IplImage() const
The operator creates the ``IplImage`` header for the matrix without copying the underlying data. You should make sure than the original matrix is not deallocated while the ``IplImage`` header is used. Similarly to ``Mat::operator CvMat`` , the operator is useful for intermixing the new and the old OpenCV API's.
Mat::total
----------
Returns the total number of array elements.
...
...
@@ -2242,7 +2203,6 @@ Various SparseMat constructors.
.. ocv:function:: SparseMat::SparseMat( int dims, const int* _sizes, int _type )
.. ocv:function:: SparseMat::SparseMat( const SparseMat& m )
.. ocv:function:: SparseMat::SparseMat( const Mat& m )
.. ocv:function:: SparseMat::SparseMat( const CvSparseMat* m )
:param m: Source matrix for copy constructor. If m is dense matrix (ocv:class:`Mat`) then it will be converted to sparse representation.
