cv::GCompiled Class Reference

Represents a compiled computation (graph). Can only be used with image / data formats & resolutions it was compiled for, with some exceptions. More...

#include <opencv2/gapi/gcompiled.hpp>

Public Member Functions
	GCompiled ()
	Constructs an empty object. More...
bool	canReshape () const
	Check if the underlying backends support reshape or not. More...
const GMetaArgs &	metas () const
	Vector of metadata this graph was compiled for. More...
	operator bool () const
	Check if compiled object is valid (non-empty) More...
void	operator() (GRunArgs &&ins, GRunArgsP &&outs)
	Run the compiled computation, a generic version. More...
void	operator() (cv::Mat in, cv::Mat &out)
	Execute an unary computation. More...
void	operator() (cv::Mat in, cv::Scalar &out)
	Execute an unary computation. More...
void	operator() (cv::Mat in1, cv::Mat in2, cv::Mat &out)
	Execute a binary computation. More...
void	operator() (cv::Mat in1, cv::Mat in2, cv::Scalar &out)
	Execute an binary computation. More...
void	operator() (const std::vector< cv::Mat > &ins, const std::vector< cv::Mat > &outs)
	Execute a computation with arbitrary number of inputs/outputs. More...
const GMetaArgs &	outMetas () const
	Vector of metadata descriptions of graph outputs. More...
void	reshape (const GMetaArgs &inMetas, const GCompileArgs &args)
	Reshape a compiled graph to support new image resolutions. More...

Detailed Description

Represents a compiled computation (graph). Can only be used with image / data formats & resolutions it was compiled for, with some exceptions.

This class represents a product of graph compilation (calling cv::GComputation::compile()). Objects of this class actually do data processing, and graph execution is incapsulated into objects of this class. Execution model itself depends on kernels and backends which were using during the compilation, see G-API Graph Compilation Arguments for details.

In a general case, GCompiled objects can be applied to data only in that formats/resolutions they were compiled for (see G-API Metadata Descriptors). However, if the underlying backends allow, a compiled object can be reshaped to handle data (images) of different resolution, though formats and types must remain the same.

GCompiled is very similar to std::function<> in its semantics – running it looks like a function call in the user code.

At the moment, GCompiled objects are not reentrant – generally, the objects are stateful since graph execution itself is a stateful process and this state is now maintained in GCompiled's own memory (not on the process stack).

At the same time, two different GCompiled objects produced from the single cv::GComputation are completely independent and can be used concurrently.

See also

GStreamingCompiled

Constructor & Destructor Documentation

GCompiled()

cv::GCompiled::GCompiled

(

)

Constructs an empty object.

Member Function Documentation

canReshape()

bool cv::GCompiled::canReshape

(

)

const

Check if the underlying backends support reshape or not.

Returns

true if supported, false otherwise.

metas()

const GMetaArgs& cv::GCompiled::metas

(

)

const

Vector of metadata this graph was compiled for.

Returns

Unless reshape is not supported, return value is the same vector which was passed to cv::GComputation::compile() to produce this compiled object. Otherwise, it is the latest metadata vector passed to reshape() (if that call was successful).

operator bool()

cv::GCompiled::operator bool ( ) const

explicit

Check if compiled object is valid (non-empty)

Returns

true if the object is runnable (valid), false otherwise

operator()() [1/6]

void cv::GCompiled::operator()	(	GRunArgs &&	ins,
		GRunArgsP &&	outs
	)

Run the compiled computation, a generic version.

Parameters

ins	vector of inputs to process.
outs	vector of outputs to produce.

Input/output vectors must have the same number of elements as defined in the cv::GComputation protocol (at the moment of its construction). Shapes of elements also must conform to protocol (e.g. cv::Mat needs to be passed where cv::GMat has been declared as input, and so on). Run-time exception is generated otherwise.

Objects in output vector may remain empty (like cv::Mat) – G-API will automatically initialize output objects to proper formats.

Note

Don't construct GRunArgs/GRunArgsP objects manually, use cv::gin()/cvgout() wrappers instead.

operator()() [2/6]

void cv::GCompiled::operator()	(	cv::Mat	in,
		cv::Mat &	out
	)

Execute an unary computation.

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

Parameters

in	input cv::Mat for unary computation
out	output cv::Mat for unary computation process.

operator()() [3/6]

void cv::GCompiled::operator()	(	cv::Mat	in,
		cv::Scalar &	out
	)

Execute an unary computation.

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

Parameters

in	input cv::Mat for unary computation
out	output cv::Scalar for unary computation process.

operator()() [4/6]

void cv::GCompiled::operator()	(	cv::Mat	in1,
		cv::Mat	in2,
		cv::Mat &	out
	)

Execute a binary computation.

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

Parameters

in1	first input cv::Mat for binary computation
in2	second input cv::Mat for binary computation
out	output cv::Mat for binary computation process.

operator()() [5/6]

void cv::GCompiled::operator()	(	cv::Mat	in1,
		cv::Mat	in2,
		cv::Scalar &	out
	)

Execute an binary computation.

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

Parameters

in1	first input cv::Mat for binary computation
in2	second input cv::Mat for binary computation
out	output cv::Scalar for binary computation process.

operator()() [6/6]

void cv::GCompiled::operator()	(	const std::vector< cv::Mat > &	ins,
		const std::vector< cv::Mat > &	outs
	)

Execute a computation with arbitrary number of inputs/outputs.

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

Parameters

ins	vector of input cv::Mat objects to process by the computation.
outs	vector of output cv::Mat objects to produce by the computation.

Numbers of elements in ins/outs vectors must match numbers of inputs/outputs which were used to define the source GComputation.

outMetas()

const GMetaArgs& cv::GCompiled::outMetas

(

)

const

Vector of metadata descriptions of graph outputs.

Returns

vector with formats/resolutions of graph's output objects, auto-inferred from input metadata vector by operations which form this computation.

Note

GCompiled objects produced from the same cv::GComputiation graph with different input metas may return different values in this vector.

reshape()

void cv::GCompiled::reshape	(	const GMetaArgs &	inMetas,
		const GCompileArgs &	args
	)

Reshape a compiled graph to support new image resolutions.

Throws an exception if an error occurs.

Parameters

inMetas	new metadata to reshape on. Vector size and metadata shapes must match the computation's protocol.
args	compilation arguments to use.

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

• opencv2/gapi/gcompiled.hpp