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体验新版 GitCode,发现更多精彩内容 >>
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6d282ddf
编写于
12月 02, 2014
作者:
M
Maksim Shabunin
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差异文件
Documentation: removed mention of Mat(IplImage*) constructor
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d3beb755
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doc/tutorials/core/mat_the_basic_image_container/mat_the_basic_image_container.markdown
...ic_image_container/mat_the_basic_image_container.markdown
+0
-6
modules/core/include/opencv2/core/mat.hpp
modules/core/include/opencv2/core/mat.hpp
+6
-12
未找到文件。
doc/tutorials/core/mat_the_basic_image_container/mat_the_basic_image_container.markdown
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@@ -180,12 +180,6 @@ object in multiple ways:
dimension, then pass a pointer containing the size for each dimension and the rest remains the
same.
-
Create a header for an already existing IplImage pointer:
@code{.cpp}
IplImage
*
img = cvLoadImage("greatwave.png", 1);
Mat mtx(img); // convert IplImage
*
-> Mat
@endcode
-
@ref cv::Mat::create function:
@code
M.create(4,4, CV_8UC(2));
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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
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