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Merge pull request #3479 from mshabunin:doxygen-tutorials

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Vadim Pisarevsky
2014-12-09 14:06:23 +00:00
parent 10dc5a3759 ecfd056111
commit 25378587e2
253 changed files with 25799 additions and 141 deletions
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18
modules/core/include/opencv2/core/mat.hpp
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@@ -634,18 +634,12 @@ sub-matrices.
Mat M = Mat(3, 3, CV_64F, m).inv();
@endcode
.
Partial yet very common cases of this *user-allocated data* case are conversions from CvMat and
IplImage to Mat. For this purpose, there are special constructors taking pointers to CvMat or
IplImage and the optional flag indicating whether to copy the data or not. Backward conversion from
Mat to CvMat or IplImage is provided via cast operators Mat::operator CvMat() const and
Mat::operator IplImage(). The operators do NOT copy the data.
@code
IplImage* img = cvLoadImage("greatwave.jpg", 1);
Mat mtx(img); // convert IplImage* -> Mat
CvMat oldmat = mtx; // convert Mat -> CvMat
CV_Assert(oldmat.cols == img->width && oldmat.rows == img->height &&
oldmat.data.ptr == (uchar*)img->imageData && oldmat.step == img->widthStep);
@endcode
Partial yet very common cases of this *user-allocated data* case are conversions from CvMat and
IplImage to Mat. For this purpose, there is function cv::cvarrToMat taking pointers to CvMat or
IplImage and the optional flag indicating whether to copy the data or not.
@dontinclude samples/cpp/image.cpp
@skip Ptr<IplImage> iplimg
@until is converted, while the data is shared
- Use MATLAB-style array initializers, zeros(), ones(), eye(), for example:
@code