OpenCV  4.9.0
Open Source Computer Vision
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cv::GKernelPackage Class Reference

A container class for heterogeneous kernel implementation collections and graph transformations. More...

#include <opencv2/gapi/gkernel.hpp>

Public Member Functions

std::vector< cv::gapi::GBackend > backends () const
 Lists all backends which are included into package. More...
 
std::vector< std::string > get_kernel_ids () const
 Returns vector of kernel ids included in the package. More...
 
const std::vector< GTransform > & get_transformations () const
 Returns vector of transformations included in the package. More...
 
void include (const cv::gapi::GFunctor &functor)
 
template<typename KImpl >
void include ()
 Put a new kernel implementation or a new transformation KImpl into the package. More...
 
void include (const cv::gapi::GBackend &backend, const std::string &kernel_id)
 Adds a new kernel based on it's backend and id into the kernel package. More...
 
template<typename KImpl >
bool includes () const
 Test if a particular kernel implementation KImpl is included in this kernel package. More...
 
template<typename KAPI >
bool includesAPI () const
 
template<typename KAPI >
cv::gapi::GBackend lookup () const
 Find a kernel (by its API) More...
 
void remove (const cv::gapi::GBackend &backend)
 Remove all kernels associated with the given backend from the package. More...
 
template<typename KAPI >
void remove ()
 Remove all kernels implementing the given API from the package. More...
 
GAPI_WRAP std::size_t size () const
 Returns total number of kernels in the package (across all backends included) More...
 

Friends

GKernelPackage cv::gapi::combine (const GKernelPackage &lhs, const GKernelPackage &rhs)
 Create a new package based on lhs and rhs. More...
 

Detailed Description

A container class for heterogeneous kernel implementation collections and graph transformations.

GKernelPackage is a special container class which stores kernel implementations and graph transformations. Objects of this class are created and passed to cv::GComputation::compile() to specify which kernels to use and which transformations to apply in the compiled graph. GKernelPackage may contain kernels of different backends, e.g. be heterogeneous.

The most easy way to create a kernel package is to use function cv::gapi::kernels(). This template functions takes kernel implementations in form of type list (variadic template) and generates a kernel package atop of that.

Kernel packages can be also generated programmatically, starting with an empty package (created with the default constructor) and then by populating it with kernels via call to GKernelPackage::include(). Note this method is also a template one since G-API kernel and transformation implementations are types, not objects.

Finally, two kernel packages can be combined into a new one with function cv::gapi::combine().

Member Function Documentation

◆ backends()

std::vector<cv::gapi::GBackend> cv::GKernelPackage::backends ( ) const

Lists all backends which are included into package.

Returns
vector of backends

◆ get_kernel_ids()

std::vector<std::string> cv::GKernelPackage::get_kernel_ids ( ) const

Returns vector of kernel ids included in the package.

Returns
vector of kernel ids included in the package

◆ get_transformations()

const std::vector<GTransform>& cv::GKernelPackage::get_transformations ( ) const

Returns vector of transformations included in the package.

Returns
vector of transformations included in the package

◆ include() [1/3]

void cv::GKernelPackage::include ( const cv::gapi::GFunctor &  functor)

◆ include() [2/3]

template<typename KImpl >
void cv::GKernelPackage::include ( )
inline

Put a new kernel implementation or a new transformation KImpl into the package.

◆ include() [3/3]

void cv::GKernelPackage::include ( const cv::gapi::GBackend &  backend,
const std::string &  kernel_id 
)

Adds a new kernel based on it's backend and id into the kernel package.

Parameters
backendbackend associated with the kernel
kernel_ida name/id of the kernel

◆ includes()

template<typename KImpl >
bool cv::GKernelPackage::includes ( ) const
inline

Test if a particular kernel implementation KImpl is included in this kernel package.

See also
includesAPI()
Note
cannot be applied to transformations
Returns
true if there is such kernel, false otherwise.

◆ includesAPI()

template<typename KAPI >
bool cv::GKernelPackage::includesAPI ( ) const
inline

Check if package contains ANY implementation of a kernel API by API type.

◆ lookup()

template<typename KAPI >
cv::gapi::GBackend cv::GKernelPackage::lookup ( ) const
inline

Find a kernel (by its API)

Returns implementation corresponding id. Throws if nothing found.

Returns
Backend which hosts matching kernel implementation.

◆ remove() [1/2]

void cv::GKernelPackage::remove ( const cv::gapi::GBackend &  backend)

Remove all kernels associated with the given backend from the package.

Does nothing if there's no kernels of this backend in the package.

Parameters
backendbackend which kernels to remove

◆ remove() [2/2]

template<typename KAPI >
void cv::GKernelPackage::remove ( )
inline

Remove all kernels implementing the given API from the package.

Does nothing if there's no kernels implementing the given interface.

◆ size()

GAPI_WRAP std::size_t cv::GKernelPackage::size ( ) const
Python:
cv.GKernelPackage.size() -> retval

Returns total number of kernels in the package (across all backends included)

Returns
a number of kernels in the package

Friends And Related Function Documentation

◆ cv::gapi::combine

GKernelPackage cv::gapi::combine ( const GKernelPackage lhs,
const GKernelPackage rhs 
)
friend

Create a new package based on lhs and rhs.

Parameters
lhs"Left-hand-side" package in the process
rhs"Right-hand-side" package in the process
Returns
a new kernel package.

The documentation for this class was generated from the following file: