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Eliminate discrepancies between signatures in documentation and OpenCV headers

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All errors were found by doc/check_docs2.py
This commit is contained in:
Andrey Kamaev
2012-10-17 21:24:55 +04:00
parent 04384a71e4
commit 461b69f6ee
14 changed files with 124 additions and 123 deletions
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96
modules/gpu/doc/feature_detection_and_description.rst
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@@ -370,16 +370,16 @@ Releases inner buffer memory.
gpu::BFMatcher_GPU
--------------------------
.. ocv:class:: gpu::BFMatcher_GPU
gpu::BruteForceMatcher_GPU_base
-------------------------------
.. ocv:class:: gpu::BruteForceMatcher_GPU_base
Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. This descriptor matcher supports masking permissible matches between descriptor sets. ::
class BFMatcher_GPU
class BruteForceMatcher_GPU_base
{
public:
explicit BFMatcher_GPU(int norm = cv::NORM_L2);
explicit BruteForceMatcher_GPU_base(int norm = cv::NORM_L2);
// Add descriptors to train descriptor collection.
void add(const std::vector<GpuMat>& descCollection);
@@ -478,67 +478,67 @@ Brute-force descriptor matcher. For each descriptor in the first set, this match
};
The class ``BFMatcher_GPU`` has an interface similar to the class :ocv:class:`DescriptorMatcher`. It has two groups of ``match`` methods: for matching descriptors of one image with another image or with an image set. Also, all functions have an alternative to save results either to the GPU memory or to the CPU memory.
The class ``BruteForceMatcher_GPU_base`` has an interface similar to the class :ocv:class:`DescriptorMatcher`. It has two groups of ``match`` methods: for matching descriptors of one image with another image or with an image set. Also, all functions have an alternative to save results either to the GPU memory or to the CPU memory.
.. seealso:: :ocv:class:`DescriptorMatcher`, :ocv:class:`BFMatcher`
gpu::BFMatcher_GPU::match
gpu::BruteForceMatcher_GPU_base::match
-------------------------------------
Finds the best match for each descriptor from a query set with train descriptors.
.. ocv:function:: void gpu::BFMatcher_GPU::match(const GpuMat& query, const GpuMat& train, std::vector<DMatch>& matches, const GpuMat& mask = GpuMat())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::match(const GpuMat& query, const GpuMat& train, std::vector<DMatch>& matches, const GpuMat& mask = GpuMat())
.. ocv:function:: void gpu::BFMatcher_GPU::matchSingle(const GpuMat& query, const GpuMat& train, GpuMat& trainIdx, GpuMat& distance, const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::matchSingle(const GpuMat& query, const GpuMat& train, GpuMat& trainIdx, GpuMat& distance, const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BFMatcher_GPU::match(const GpuMat& query, std::vector<DMatch>& matches, const std::vector<GpuMat>& masks = std::vector<GpuMat>())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::match(const GpuMat& query, std::vector<DMatch>& matches, const std::vector<GpuMat>& masks = std::vector<GpuMat>())
.. ocv:function:: void gpu::BFMatcher_GPU::matchCollection( const GpuMat& query, const GpuMat& trainCollection, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, const GpuMat& masks=GpuMat(), Stream& stream=Stream::Null() )
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::matchCollection( const GpuMat& query, const GpuMat& trainCollection, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, const GpuMat& masks=GpuMat(), Stream& stream=Stream::Null() )
.. seealso:: :ocv:func:`DescriptorMatcher::match`
gpu::BFMatcher_GPU::makeGpuCollection
gpu::BruteForceMatcher_GPU_base::makeGpuCollection
-------------------------------------------------
Performs a GPU collection of train descriptors and masks in a suitable format for the :ocv:func:`gpu::BFMatcher_GPU::matchCollection` function.
Performs a GPU collection of train descriptors and masks in a suitable format for the :ocv:func:`gpu::BruteForceMatcher_GPU_base::matchCollection` function.
.. ocv:function:: void gpu::BFMatcher_GPU::makeGpuCollection(GpuMat& trainCollection, GpuMat& maskCollection, const vector<GpuMat>& masks = std::vector<GpuMat>())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::makeGpuCollection(GpuMat& trainCollection, GpuMat& maskCollection, const vector<GpuMat>& masks = std::vector<GpuMat>())
gpu::BFMatcher_GPU::matchDownload
gpu::BruteForceMatcher_GPU_base::matchDownload
---------------------------------------------
Downloads matrices obtained via :ocv:func:`gpu::BFMatcher_GPU::matchSingle` or :ocv:func:`gpu::BFMatcher_GPU::matchCollection` to vector with :ocv:class:`DMatch`.
Downloads matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::matchSingle` or :ocv:func:`gpu::BruteForceMatcher_GPU_base::matchCollection` to vector with :ocv:class:`DMatch`.
.. ocv:function:: static void gpu::BFMatcher_GPU::matchDownload(const GpuMat& trainIdx, const GpuMat& distance, std::vector<DMatch>&matches)
.. ocv:function:: static void gpu::BruteForceMatcher_GPU_base::matchDownload(const GpuMat& trainIdx, const GpuMat& distance, std::vector<DMatch>&matches)
.. ocv:function:: static void gpu::BFMatcher_GPU::matchDownload( const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, std::vector<DMatch>& matches )
.. ocv:function:: static void gpu::BruteForceMatcher_GPU_base::matchDownload( const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, std::vector<DMatch>& matches )
gpu::BFMatcher_GPU::matchConvert
gpu::BruteForceMatcher_GPU_base::matchConvert
---------------------------------------------
Converts matrices obtained via :ocv:func:`gpu::BFMatcher_GPU::matchSingle` or :ocv:func:`gpu::BFMatcher_GPU::matchCollection` to vector with :ocv:class:`DMatch`.
Converts matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::matchSingle` or :ocv:func:`gpu::BruteForceMatcher_GPU_base::matchCollection` to vector with :ocv:class:`DMatch`.
.. ocv:function:: void gpu::BFMatcher_GPU::matchConvert(const Mat& trainIdx, const Mat& distance, std::vector<DMatch>&matches)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::matchConvert(const Mat& trainIdx, const Mat& distance, std::vector<DMatch>&matches)
.. ocv:function:: void gpu::BFMatcher_GPU::matchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector<DMatch>&matches)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::matchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector<DMatch>&matches)
gpu::BFMatcher_GPU::knnMatch
gpu::BruteForceMatcher_GPU_base::knnMatch
----------------------------------------
Finds the ``k`` best matches for each descriptor from a query set with train descriptors.
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatch(const GpuMat& query, const GpuMat& train, std::vector< std::vector<DMatch> >&matches, int k, const GpuMat& mask = GpuMat(), bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& query, const GpuMat& train, std::vector< std::vector<DMatch> >&matches, int k, const GpuMat& mask = GpuMat(), bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatchSingle(const GpuMat& query, const GpuMat& train, GpuMat& trainIdx, GpuMat& distance, GpuMat& allDist, int k, const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatchSingle(const GpuMat& query, const GpuMat& train, GpuMat& trainIdx, GpuMat& distance, GpuMat& allDist, int k, const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatch(const GpuMat& query, std::vector< std::vector<DMatch> >&matches, int k, const std::vector<GpuMat>&masks = std::vector<GpuMat>(), bool compactResult = false )
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatch(const GpuMat& query, std::vector< std::vector<DMatch> >&matches, int k, const std::vector<GpuMat>&masks = std::vector<GpuMat>(), bool compactResult = false )
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatch2Collection(const GpuMat& query, const GpuMat& trainCollection, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, const GpuMat& maskCollection = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatch2Collection(const GpuMat& query, const GpuMat& trainCollection, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, const GpuMat& maskCollection = GpuMat(), Stream& stream = Stream::Null())
:param query: Query set of descriptors.
@@ -560,41 +560,41 @@ The third variant of the method stores the results in GPU memory.
gpu::BFMatcher_GPU::knnMatchDownload
gpu::BruteForceMatcher_GPU_base::knnMatchDownload
------------------------------------------------
Downloads matrices obtained via :ocv:func:`gpu::BFMatcher_GPU::knnMatchSingle` or :ocv:func:`gpu::BFMatcher_GPU::knnMatch2Collection` to vector with :ocv:class:`DMatch`.
Downloads matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::knnMatchSingle` or :ocv:func:`gpu::BruteForceMatcher_GPU_base::knnMatch2Collection` to vector with :ocv:class:`DMatch`.
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatch2Download(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatch2Download(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
If ``compactResult`` is ``true`` , the ``matches`` vector does not contain matches for fully masked-out query descriptors.
gpu::BFMatcher_GPU::knnMatchConvert
gpu::BruteForceMatcher_GPU_base::knnMatchConvert
------------------------------------------------
Converts matrices obtained via :ocv:func:`gpu::BFMatcher_GPU::knnMatchSingle` or :ocv:func:`gpu::BFMatcher_GPU::knnMatch2Collection` to CPU vector with :ocv:class:`DMatch`.
Converts matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::knnMatchSingle` or :ocv:func:`gpu::BruteForceMatcher_GPU_base::knnMatch2Collection` to CPU vector with :ocv:class:`DMatch`.
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatchConvert(const Mat& trainIdx, const Mat& distance, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatchConvert(const Mat& trainIdx, const Mat& distance, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::knnMatch2Convert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::knnMatch2Convert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
If ``compactResult`` is ``true`` , the ``matches`` vector does not contain matches for fully masked-out query descriptors.
gpu::BFMatcher_GPU::radiusMatch
gpu::BruteForceMatcher_GPU_base::radiusMatch
-------------------------------------------
For each query descriptor, finds the best matches with a distance less than a given threshold.
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatch(const GpuMat& query, const GpuMat& train, std::vector< std::vector<DMatch> >&matches, float maxDistance, const GpuMat& mask = GpuMat(), bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& query, const GpuMat& train, std::vector< std::vector<DMatch> >&matches, float maxDistance, const GpuMat& mask = GpuMat(), bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatchSingle(const GpuMat& query, const GpuMat& train, GpuMat& trainIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance, const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchSingle(const GpuMat& query, const GpuMat& train, GpuMat& trainIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance, const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatch(const GpuMat& query, std::vector< std::vector<DMatch> >&matches, float maxDistance, const std::vector<GpuMat>& masks = std::vector<GpuMat>(), bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& query, std::vector< std::vector<DMatch> >&matches, float maxDistance, const std::vector<GpuMat>& masks = std::vector<GpuMat>(), bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatchCollection(const GpuMat& query, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance, const std::vector<GpuMat>& masks = std::vector<GpuMat>(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchCollection(const GpuMat& query, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance, const std::vector<GpuMat>& masks = std::vector<GpuMat>(), Stream& stream = Stream::Null())
:param query: Query set of descriptors.
@@ -618,26 +618,26 @@ The third variant of the method stores the results in GPU memory and does not st
gpu::BFMatcher_GPU::radiusMatchDownload
gpu::BruteForceMatcher_GPU_base::radiusMatchDownload
---------------------------------------------------
Downloads matrices obtained via :ocv:func:`gpu::BFMatcher_GPU::radiusMatchSingle` or :ocv:func:`gpu::BFMatcher_GPU::radiusMatchCollection` to vector with :ocv:class:`DMatch`.
Downloads matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::radiusMatchSingle` or :ocv:func:`gpu::BruteForceMatcher_GPU_base::radiusMatchCollection` to vector with :ocv:class:`DMatch`.
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, const GpuMat& nMatches, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, const GpuMat& nMatches, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, const GpuMat& nMatches, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, const GpuMat& nMatches, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
If ``compactResult`` is ``true`` , the ``matches`` vector does not contain matches for fully masked-out query descriptors.
gpu::BFMatcher_GPU::radiusMatchConvert
gpu::BruteForceMatcher_GPU_base::radiusMatchConvert
---------------------------------------------------
Converts matrices obtained via :ocv:func:`gpu::BFMatcher_GPU::radiusMatchSingle` or :ocv:func:`gpu::BFMatcher_GPU::radiusMatchCollection` to vector with :ocv:class:`DMatch`.
Converts matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::radiusMatchSingle` or :ocv:func:`gpu::BruteForceMatcher_GPU_base::radiusMatchCollection` to vector with :ocv:class:`DMatch`.
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat& distance, const Mat& nMatches, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat& trainIdx, const Mat& distance, const Mat& nMatches, std::vector< std::vector<DMatch> >&matches, bool compactResult = false)
.. ocv:function:: void gpu::BFMatcher_GPU::radiusMatchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, const Mat& nMatches, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, const Mat& nMatches, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
If ``compactResult`` is ``true`` , the ``matches`` vector does not contain matches for fully masked-out query descriptors.

38
modules/gpu/doc/image_processing.rst
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@@ -824,7 +824,7 @@ gpu::bilateralFilter
--------------------
Performs bilateral filtering of passed image
.. ocv:function:: void gpu::bilateralFilter(const GpuMat& src, GpuMat& dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::bilateralFilter( const GpuMat& src, GpuMat& dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode=BORDER_DEFAULT, Stream& stream=Stream::Null() )
:param src: Source image. Supports only (channles != 2 && depth() != CV_8S && depth() != CV_32S && depth() != CV_64F).
@@ -849,7 +849,7 @@ gpu::nonLocalMeans
-------------------
Performs pure non local means denoising without any simplification, and thus it is not fast.
.. ocv:function:: void nonLocalMeans(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, int borderMode = BORDER_DEFAULT, Stream& s = Stream::Null())
.. ocv:function:: void gpu::nonLocalMeans(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, int borderMode = BORDER_DEFAULT, Stream& s = Stream::Null())
:param src: Source image. Supports only CV_8UC1, CV_8UC2 and CV_8UC3.
@@ -868,7 +868,7 @@ Performs pure non local means denoising without any simplification, and thus it
.. seealso::
:ocv:func:`fastNlMeansDenoising`
gpu::FastNonLocalMeansDenoising
-------------------------------
.. ocv:class:: gpu::FastNonLocalMeansDenoising
@@ -877,10 +877,10 @@ gpu::FastNonLocalMeansDenoising
{
public:
//! Simple method, recommended for grayscale images (though it supports multichannel images)
void simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
void simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
//! Processes luminance and color components separatelly
void labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
void labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
};
The class implements fast approximate Non Local Means Denoising algorithm.
@@ -889,52 +889,52 @@ gpu::FastNonLocalMeansDenoising::simpleMethod()
-------------------------------------
Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising with several computational optimizations. Noise expected to be a gaussian white noise
.. ocv:function:: void gpu::FastNonLocalMeansDenoising::simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
.. ocv:function:: void gpu::FastNonLocalMeansDenoising::simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
:param src: Input 8-bit 1-channel, 2-channel or 3-channel image.
:param dst: Output image with the same size and type as ``src`` .
:param h: Parameter regulating filter strength. Big h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise
:param search_window: Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater search_window - greater denoising time. Recommended value 21 pixels
:param block_size: Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
:param stream: Stream for the asynchronous invocations.
This function expected to be applied to grayscale images. For colored images look at ``FastNonLocalMeansDenoising::labMethod``.
This function expected to be applied to grayscale images. For colored images look at ``FastNonLocalMeansDenoising::labMethod``.
.. seealso::
.. seealso::
:ocv:func:`fastNlMeansDenoising`
gpu::FastNonLocalMeansDenoising::labMethod()
-------------------------------------
Modification of ``FastNonLocalMeansDenoising::simpleMethod`` for color images
.. ocv:function:: void gpu::FastNonLocalMeansDenoising::labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
.. ocv:function:: void gpu::FastNonLocalMeansDenoising::labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
:param src: Input 8-bit 3-channel image.
:param dst: Output image with the same size and type as ``src`` .
:param h_luminance: Parameter regulating filter strength. Big h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise
:param float: The same as h but for color components. For most images value equals 10 will be enought to remove colored noise and do not distort colors
:param search_window: Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater search_window - greater denoising time. Recommended value 21 pixels
:param block_size: Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
:param stream: Stream for the asynchronous invocations.
The function converts image to CIELAB colorspace and then separately denoise L and AB components with given h parameters using ``FastNonLocalMeansDenoising::simpleMethod`` function.
.. seealso::
.. seealso::
:ocv:func:`fastNlMeansDenoisingColored`
gpu::alphaComp
-------------------
Composites two images using alpha opacity values contained in each image.

4
modules/gpu/doc/object_detection.rst
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@@ -271,9 +271,7 @@ gpu::CascadeClassifier_GPU::detectMultiScale
------------------------------------------------
Detects objects of different sizes in the input image.
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size())
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, Size maxObjectSize, Size minSize = Size(), double scaleFactor = 1.1, int minNeighbors = 4)
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale( const GpuMat& image, GpuMat& objectsBuf, double scaleFactor=1.1, int minNeighbors=4, Size minSize=Size() )
:param image: Matrix of type ``CV_8U`` containing an image where objects should be detected.

2
modules/gpu/doc/per_element_operations.rst
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@@ -276,8 +276,6 @@ Compares elements of two matrices.
.. ocv:function:: void gpu::compare( const GpuMat& a, const GpuMat& b, GpuMat& c, int cmpop, Stream& stream=Stream::Null() )
.. ocv:function:: void gpu::compare(const GpuMat& a, Scalar sc, GpuMat& c, int cmpop, Stream& stream = Stream::Null())
:param a: First source matrix.
:param b: Second source matrix with the same size and type as ``a`` .

2
modules/gpu/doc/video.rst
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@@ -739,7 +739,7 @@ gpu::GMG_GPU::operator()
------------------------
Updates the background model and returns the foreground mask
.. ocv:function:: void gpu::GMG_GPU::operator()(const GpuMat& frame, GpuMat& fgmask, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::GMG_GPU::operator ()( const GpuMat& frame, GpuMat& fgmask, float learningRate=-1.0f, Stream& stream=Stream::Null() )
:param frame: Next video frame.