@@ -86,8 +86,6 @@ Enables the stereo correspondence operator that finds the disparity for the spec
:param disparity: Output disparity map. It is a ``CV_8UC1`` image with the same size as the input images.
:param stream: Stream for the asynchronous version.
ocl::StereoBM_OCL::checkIfGpuCallReasonable
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@@ -218,8 +216,6 @@ Enables the stereo correspondence operator that finds the disparity for the spec
:param disparity: Output disparity map. If ``disparity`` is empty, the output type is ``CV_16SC1`` . Otherwise, the type is retained.
:param stream: Stream for the asynchronous version.
ocl::StereoConstantSpaceBP
------------------------------
.. ocv:class:: ocl::StereoConstantSpaceBP
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@@ -330,5 +326,3 @@ Enables the stereo correspondence operator that finds the disparity for the spec
:param right: Right image with the same size and the same type as the left one.
:param disparity: Output disparity map. If ``disparity`` is empty, the output type is ``CV_16SC1`` . Otherwise, the output type is ``disparity.type()`` .
:param stream: Stream for the asynchronous version.
//! creates alternative oclMatrix header for the same data, with different
// number of channels and/or different number of rows. see cvReshape.
oclMat reshape(int cn, int rows = 0) const;
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@@ -88,6 +89,11 @@ OpenCV C++ 1-D or 2-D dense array class ::
// previous data is unreferenced if needed.
void create(int rows, int cols, int type);
void create(Size size, int type);
//! allocates new oclMatrix with specified device memory type.
void createEx(int rows, int cols, int type, DevMemRW rw_type, DevMemType mem_type);
void createEx(Size size, int type, DevMemRW rw_type, DevMemType mem_type);
//! decreases reference counter;
// deallocate the data when reference counter reaches 0.
void release();
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@@ -98,12 +104,17 @@ OpenCV C++ 1-D or 2-D dense array class ::
//! locates oclMatrix header within a parent oclMatrix. See below
void locateROI( Size &wholeSize, Point &ofs ) const;
//! moves/resizes the current oclMatrix ROI inside the parent oclMatrix.
oclMat &adjustROI( int dtop, int dbottom, int dleft, int dright );
oclMat& adjustROI( int dtop, int dbottom, int dleft, int dright );
//! extracts a rectangular sub-oclMatrix
// (this is a generalized form of row, rowRange etc.)
oclMat operator()( Range rowRange, Range colRange ) const;
oclMat operator()( const Rect &roi ) const;
oclMat& operator+=( const oclMat& m );
oclMat& operator-=( const oclMat& m );
oclMat& operator*=( const oclMat& m );
oclMat& operator/=( const oclMat& m );
//! returns true if the oclMatrix data is continuous
// (i.e. when there are no gaps between successive rows).
// similar to CV_IS_oclMat_CONT(cvoclMat->type)
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@@ -134,7 +145,7 @@ OpenCV C++ 1-D or 2-D dense array class ::
bool empty() const;
//! returns pointer to y-th row
uchar *ptr(int y = 0);
uchar* ptr(int y = 0);
const uchar *ptr(int y = 0) const;
//! template version of the above method
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@@ -176,14 +187,11 @@ OpenCV C++ 1-D or 2-D dense array class ::
int wholecols;
};
Basically speaking, the oclMat is the mirror of Mat with the extension of ocl feature, the members have the same meaning and useage of Mat except following:
datastart and dataend are replaced with wholerows and wholecols
add clCxt for oclMat
Basically speaking, the ``oclMat`` is the mirror of ``Mat`` with the extension of OCL feature, the members have the same meaning and useage of ``Mat`` except following:
Only basic flags are supported in oclMat(i.e. depth number of channels)
* ``datastart`` and ``dataend`` are replaced with ``wholerows`` and ``wholecols``
All the 3-channel matrix(i.e. RGB image) are represented by 4-channel matrix in oclMat. It means 3-channel image have 4-channel space with the last channel unused. We provide a transparent interface to handle the difference between OpenCV Mat and oclMat.
* Only basic flags are supported in ``oclMat`` (i.e. depth number of channels)
For example: If a oclMat has 3 channels, channels() returns 3 and oclchannels() returns 4
* All the 3-channel matrix (i.e. RGB image) are represented by 4-channel matrix in ``oclMat``. It means 3-channel image have 4-channel space with the last channel unused. We provide a transparent interface to handle the difference between OpenCV ``Mat`` and ``oclMat``.
For example: If a ``oclMat`` has 3 channels, ``channels()`` returns 3 and ``oclchannels()`` returns 4
:param src: Source image. Only CV_8UC1 and CV_32FC1 images are supported now.
:param src: Source image.
:param dst: Destination image containing cornerness values. It has the same size as src and CV_32FC1 type.
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@@ -156,11 +156,11 @@ Returns void
:param interpolation: The interpolation method
:param bordertype: Pixel extrapolation method. Only BORDER_CONSTANT are supported now.
:param bordertype: Pixel extrapolation method.
:param value: The border value if borderType==BORDER CONSTANT
The function remap transforms the source image using the specified map: dst (x ,y) = src (map1(x , y) , map2(x , y)) where values of pixels with non-integer coordinates are computed using one of available interpolation methods. map1 and map2 can be encoded as separate floating-point maps in map1 and map2 respectively, or interleaved floating-point maps of (x,y) in map1. Supports CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1 , CV_32FC3 and CV_32FC4 data types.
The function remap transforms the source image using the specified map: dst (x ,y) = src (map1(x , y) , map2(x , y)) where values of pixels with non-integer coordinates are computed using one of available interpolation methods. map1 and map2 can be encoded as separate floating-point maps in map1 and map2 respectively, or interleaved floating-point maps of (x,y) in map1.
ocl::resize
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@@ -222,7 +222,7 @@ ocl::cvtColor
------------------
Returns void
.. ocv:function:: void ocl::cvtColor(const oclMat &src, oclMat &dst, int code, int dcn = 0)
.. ocv:function:: void ocl::cvtColor(const oclMat &src, oclMat &dst, int code, int dcn = 0)
:param src: Source image.
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@@ -250,7 +250,7 @@ Returns Threshold value
:param type: Thresholding type
The function applies fixed-level thresholding to a single-channel array. The function is typically used to get a bi-level (binary) image out of a grayscale image or for removing a noise, i.e. filtering out pixels with too small or too large values. There are several types of thresholding that the function supports that are determined by thresholdType. Supports only CV_32FC1 and CV_8UC1 data type.
The function applies fixed-level thresholding to a single-channel array. The function is typically used to get a bi-level (binary) image out of a grayscale image or for removing a noise, i.e. filtering out pixels with too small or too large values. There are several types of thresholding that the function supports that are determined by thresholdType.
The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [MOG2004]_. ::
class CV_EXPORTS MOG2: public cv::ocl::BackgroundSubtractor
The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [MOG2004]_.
Here are important members of the class that control the algorithm, which you can set after constructing the class instance:
.. ocv:member:: float backgroundRatio
Threshold defining whether the component is significant enough to be included into the background model. ``cf=0.1 => TB=0.9`` is default. For ``alpha=0.001``, it means that the mode should exist for approximately 105 frames before it is considered foreground.
