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doxygenated opencv_video & opencv_calib3d modules (C++ part only)

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Vadim Pisarevsky
2010-05-25 15:59:48 +00:00
parent eff42cdabd
commit 266c4642ea
6 changed files with 148 additions and 33 deletions
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12
modules/core/include/opencv2/core/core.hpp
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@@ -1108,7 +1108,7 @@ enum { DFT_INVERSE=1, DFT_SCALE=2, DFT_ROWS=4, DFT_COMPLEX_OUTPUT=16, DFT_REAL_O
M.create(100,60,CV_8UC(15));
\endcode
As noted in the introduction of this chapter, \texttt{create()}
As noted in the introduction of this chapter, Mat::create()
will only allocate a new matrix when the current matrix dimensionality
or type are different from the specified.
@@ -1243,7 +1243,8 @@ enum { DFT_INVERSE=1, DFT_SCALE=2, DFT_ROWS=4, DFT_COMPLEX_OUTPUT=16, DFT_REAL_O
addr(M_{ij})=&M.at<float>(i,j)
(where & is used to convert the reference returned by cv::Mat::at() to a pointer).
if you need to process a whole row of matrix, the most efficient way is to get the pointer to the row first, and then just use plain C operator \texttt{[]}:
if you need to process a whole row of matrix, the most efficient way is to get
the pointer to the row first, and then just use plain C operator []:
\code
// compute sum of positive matrix elements
@@ -1291,7 +1292,8 @@ enum { DFT_INVERSE=1, DFT_SCALE=2, DFT_ROWS=4, DFT_COMPLEX_OUTPUT=16, DFT_REAL_O
sum += std::max(*it, 0.);
\endcode
The matrix iterators are random-access iterators, so they can be passed to any STL algorithm, including \texttt{std::sort()}.
The matrix iterators are random-access iterators, so they can be passed
to any STL algorithm, including std::sort().
*/
class CV_EXPORTS Mat
{
@@ -2445,8 +2447,8 @@ class SparseMat;
In other aspects cv::MatND is also very similar to cv::Mat, with the following limitations and differences:
<ul>
<li> much less operations are implemented for \texttt{MatND}
<li> currently, algebraic expressions with \texttt{MatND}'s are not supported
<li> much less operations are implemented for cv::MatND
<li> currently, algebraic expressions with cv::MatND's are not supported
<li> the cv::MatND iterator is completely different from cv::Mat_ and cv::SparseMat_ iterators.
The latter are per-element iterators, while the former is per-slice iterator, see below.
</ul>