infer.hpp File Reference

#include <functional>
#include <string>
#include <utility>
#include <type_traits>
#include <opencv2/gapi/util/util.hpp>
#include <opencv2/gapi/util/any.hpp>
#include <opencv2/gapi/gkernel.hpp>
#include <opencv2/gapi/garg.hpp>
#include <opencv2/gapi/gcommon.hpp>
#include <opencv2/gapi/gmetaarg.hpp>

Include dependency graph for infer.hpp:

This graph shows which files directly or indirectly include this file:

Classes
struct	cv::detail::accepted_infer_types< T >
struct	cv::detail::CompileArgTag< cv::gapi::GNetPackage >
struct	cv::gapi::Generic
	Generic network type: input and output layers are configured dynamically at runtime. More...
struct	cv::GInfer< Net, Args >
struct	cv::GInferBase
class	cv::detail::GInferInputsTyped< Ts >
struct	cv::GInferList< Net, Args >
struct	cv::GInferList2< Net, T, Args >
struct	cv::GInferList2Base
struct	cv::GInferListBase
class	cv::detail::GInferOutputsTyped< OutT >
struct	cv::GInferROI< Net, T >
struct	cv::GInferROIBase
struct	cv::gapi::GNetPackage
	A container class for network configurations. Similar to GKernelPackage. Use cv::gapi::networks() to construct this object. More...
class	cv::GNetworkType< K, std::function< R(Args...)> >
class	cv::GNetworkType< K, std::function< std::tuple< R... >(Args...)> >
struct	cv::InferAPI< Net, Ts >
struct	cv::InferAPIList< Net, Ts >
struct	cv::InferAPIList2< Net, T, Ts >
struct	cv::InferAPIRoi< Net, T >
struct	cv::detail::InferROITraits< GInferListBase >
struct	cv::detail::InferROITraits< GInferROIBase >
struct	cv::detail::InOutInfo
struct	cv::detail::valid_infer2_types< std::tuple< Ns... >, std::tuple<> >
struct	cv::detail::valid_infer2_types< std::tuple<>, std::tuple< Ts... > >

Namespaces
namespace	cv
namespace	cv::detail
namespace	cv::gapi

Macros
#define	G_API_NET(Class, API, Tag)

Typedefs
using	cv::GInferInputs = cv::detail::GInferInputsTyped<cv::GMat, cv::GFrame>
	G-API object used to collect network inputs.
using	cv::GInferListInputs = cv::detail::GInferInputsTyped<cv::GArray<cv::GMat>, cv::GArray<cv::Rect>>
	G-API object used to collect the list of network inputs.
using	cv::GInferListOutputs = cv::detail::GInferOutputsTyped<cv::GArray<cv::GMat>>
	G-API object used to collect the list of network outputs.
using	cv::GInferOutputs = cv::detail::GInferOutputsTyped<cv::GMat>
	G-API object used to collect network outputs.
template<typename... Ts>
using	cv::detail::valid_infer_types = all_satisfy<accepted_infer_types, Ts...>

Functions
template<typename Net , typename... Args>
Net::Result	cv::gapi::infer (Args &&... args)
	Calculates response for the specified network (template parameter) given the input data.
template<typename T = Generic>
cv::GInferListOutputs	cv::gapi::infer (const std::string &tag, const cv::GArray< cv::Rect > &rois, const cv::GInferInputs &inputs)
	Calculates responses for the specified network for every region in the source image.
template<typename T = Generic>
cv::GInferOutputs	cv::gapi::infer (const std::string &tag, const cv::GInferInputs &inputs)
	Calculates response for generic network.
template<typename T = Generic>
cv::GInferOutputs	cv::gapi::infer (const std::string &tag, const cv::GOpaque< cv::Rect > &roi, const cv::GInferInputs &inputs)
	Calculates response for the generic network for the specified region in the source image. Currently expects a single-input network only.
template<typename Net , typename... Args>
Net::ResultL	cv::gapi::infer (cv::GArray< cv::Rect > roi, Args &&... args)
	Calculates responses for the specified network (template parameter) for every region in the source image.
template<typename Net , typename T >
Net::Result	cv::gapi::infer (cv::GOpaque< cv::Rect > roi, T in)
	Calculates response for the specified network (template parameter) for the specified region in the source image. Currently expects a single-input network only.
template<typename T = Generic, typename Input >
std::enable_if< cv::detail::accepted_infer_types< Input >::value, cv::GInferListOutputs >::type	cv::gapi::infer2 (const std::string &tag, const Input &in, const cv::GInferListInputs &inputs)
	Calculates responses for the specified network for every region in the source image, extended version.
template<typename Net , typename T , typename... Args>
Net::ResultL	cv::gapi::infer2 (T image, cv::GArray< Args >... args)
	Calculates responses for the specified network (template parameter) for every region in the source image, extended version.
template<typename InferType >
InferROITraits< InferType >::outType	cv::detail::inferGenericROI (const std::string &tag, const typename InferROITraits< InferType >::inType &in, const cv::GInferInputs &inputs)
template<typename InferT >
std::shared_ptr< cv::GCall >	cv::detail::makeCall (const std::string &tag, std::vector< cv::GArg > &&args, std::vector< std::string > &&names, cv::GKinds &&kinds)
template<typename... Args>
cv::gapi::GNetPackage	cv::gapi::networks (Args &&... args)
cv::gapi::GNetPackage &	cv::gapi::operator+= (cv::gapi::GNetPackage &lhs, const cv::gapi::GNetPackage &rhs)
template<typename T >
gapi::GNetParam	cv::detail::strip (T &&t)
void	cv::detail::unpackBlobs (const cv::GInferInputs::Map &blobs, std::vector< cv::GArg > &args, std::vector< std::string > &names, cv::GKinds &kinds)

Macro Definition Documentation

G_API_NET

#define G_API_NET	(		Class,
			API,
			Tag )

Value:

    struct Class final: public cv::GNetworkType<Class, std::function API> { \
        static constexpr const char * tag() { return Tag; }             \
    }