cv::gapi::onnx::Params< Net > Class Template Reference

#include <opencv2/gapi/infer/onnx.hpp>

Public Member Functions
	Params (const std::string &model)
GBackend	backend () const
Params< Net > &	cfgInputLayers (const typename PortCfg< Net >::In &ll)
Params< Net > &	cfgMeanStd (const typename PortCfg< Net >::NormCoefs &m, const typename PortCfg< Net >::NormCoefs &s)
Params< Net > &	cfgNormalize (const typename PortCfg< Net >::Normalize &n)
Params< Net > &	cfgOutputLayers (const typename PortCfg< Net >::Out &ll)
Params< Net > &	cfgPostProc (const std::vector< cv::GMatDesc > &out_metas, const PostProc &pp)
	Configures graph output and sets the post processing function from user. More...
Params< Net > &	cfgPostProc (std::vector< cv::GMatDesc > &&out_metas, PostProc &&pp)
Params< Net > &	cfgPostProc (const std::vector< cv::GMatDesc > &out_metas, const PostProc &pp, const std::vector< std::string > &names_to_remap)
Params< Net > &	cfgPostProc (std::vector< cv::GMatDesc > &&out_metas, PostProc &&pp, std::vector< std::string > &&names_to_remap)
Params< Net > &	constInput (const std::string &layer_name, const cv::Mat &data, TraitAs hint=TraitAs::TENSOR)
cv::util::any	params () const
std::string	tag () const

Protected Attributes
detail::ParamDesc	desc

Constructor & Destructor Documentation

Params()

template<typename Net >

cv::gapi::onnx::Params< Net >::Params ( const std::string &  model )

inline

Member Function Documentation

backend()

template<typename Net >

GBackend cv::gapi::onnx::Params< Net >::backend ( ) const

inline

cfgInputLayers()

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgInputLayers ( const typename PortCfg< Net >::In &  ll )

inline

cfgMeanStd()

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgMeanStd ( const typename PortCfg< Net >::NormCoefs &  m, const typename PortCfg< Net >::NormCoefs &  s  )

inline

cfgNormalize()

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgNormalize ( const typename PortCfg< Net >::Normalize &  n )

inline

cfgOutputLayers()

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgOutputLayers ( const typename PortCfg< Net >::Out &  ll )

inline

cfgPostProc() [1/4]

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgPostProc ( const std::vector< cv::GMatDesc > &  out_metas, const PostProc &  pp  )

inline

Configures graph output and sets the post processing function from user.

The function is used for the case of infer of networks with dynamic outputs. Since these networks haven't known output parameters needs provide them for construction of output of graph. The function provides meta information of outputs and post processing function. Post processing function is used for copy information from ONNX infer's result to output of graph which is allocated by out meta information.

Parameters

out_metas	out meta information.
pp	post processing function, which has two parameters. First is onnx result, second is graph output. Both parameters is std::map that contain pair of layer's name and cv::Mat.

Returns

reference to object of class Params.

cfgPostProc() [2/4]

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgPostProc ( std::vector< cv::GMatDesc > &&  out_metas, PostProc &&  pp  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. The function has rvalue parameters.

cfgPostProc() [3/4]

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgPostProc ( const std::vector< cv::GMatDesc > &  out_metas, const PostProc &  pp, const std::vector< std::string > &  names_to_remap  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. The function has additional parameter names_to_remap. This parameter provides information about output layers which will be used for infer and in post processing function.

Parameters

out_metas	out meta information.
pp	post processing function.
names_to_remap	contains names of output layers. CNN's infer will be done on these layers. Infer's result will be processed in post processing function using these names.

Returns

reference to object of class Params.

cfgPostProc() [4/4]

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::cfgPostProc ( std::vector< cv::GMatDesc > &&  out_metas, PostProc &&  pp, std::vector< std::string > &&  names_to_remap  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. The function has rvalue parameters.

constInput()

template<typename Net >

Params<Net>& cv::gapi::onnx::Params< Net >::constInput ( const std::string &  layer_name, const cv::Mat &  data, TraitAs  hint = TraitAs::TENSOR  )

inline

params()

template<typename Net >

cv::util::any cv::gapi::onnx::Params< Net >::params ( ) const

inline

tag()

template<typename Net >

std::string cv::gapi::onnx::Params< Net >::tag ( ) const

inline

Member Data Documentation

desc

template<typename Net >

detail::ParamDesc cv::gapi::onnx::Params< Net >::desc

protected

---

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

• opencv2/gapi/infer/onnx.hpp