eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings Class Reference

Class representing the settings of a Deep Learning benchmark. More...

#include <eVision/EasyDeepLearning/EDeepLearningBenchmarkSettings.h>

Collaboration diagram for eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings:

Public Member Functions
	EDeepLearningBenchmarkSettings ()
	Constructor.
	EDeepLearningBenchmarkSettings (const eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings &other)
	Constructor.
virtual	~EDeepLearningBenchmarkSettings () throw ()
eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings &	operator= (const eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings &other)
	Assignment operator.
virtual void	Load (const std::string &filePath)
	Loads a EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for reading.
virtual void	Load (eVision::ESerializer *serializer)
	Loads a EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for reading.
virtual void	Save (const std::string &filePath)
	Saves the EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for writing.
virtual void	Save (eVision::ESerializer *serializer)
	Saves the EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for writing.
std::string	GetName () const
	Name of the benchmark.
void	SetName (const std::string &benchName)
	Name of the benchmark.
std::string	GetEngine () const
	Deep Learning engine to use for the benchmark.
void	SetEngine (const std::string &engine)
	Deep Learning engine to use for the benchmark.
eVision::EasyDeepLearning::EDeepLearningDevice	GetDevice () const
	Device to use for the benchmark.
void	SetDevice (const eVision::EasyDeepLearning::EDeepLearningDevice &dev)
	Device to use for the benchmark.
eVision::EasyDeepLearning::EDeepLearningInferencePrecision	GetInferencePrecision () const
	Inference precision to use for the benchmark.
void	SetInferencePrecision (eVision::EasyDeepLearning::EDeepLearningInferencePrecision prec)
	Inference precision to use for the benchmark.
int	GetNumExternalThreads () const
	Number of external threads.
void	SetNumExternalThreads (int val)
	Number of external threads.
int	GetNumInternalThreads () const
	Number of internal threads.
void	SetNumInternalThreads (int val)
	Number of internal threads.
void	SetCameraSpeed (float fps)
	Camera speed to simulate. If equal to 0, the benchmark will produce images as fast as possible.
float	GetCameraSpeed () const
	Camera speed to simulate. If equal to 0, the benchmark will produce images as fast as possible.
int	GetBatchSize () const
	Batch size.
void	SetBatchSize (int val)
	Batch size.
int	GetNumInferences () const
	Number of iterations to use during the benchmark.
void	SetNumInferences (int val)
	Number of iterations to use during the benchmark.
bool	GetInternalResizeDisabled () const
	Whether to disable the internal resize operation performed by the Deep Learning tools. When disabled, the benchmark will generate images at the optimal size for the tool.
void	SetInternalResizeDisabled (bool disabled)
	Whether to disable the internal resize operation performed by the Deep Learning tools. When disabled, the benchmark will generate images at the optimal size for the tool.
bool	GetOptimizedBatchSize () const
	Whether to enable the auto setup of the batch size.
void	SetOptimizedBatchSize (bool enable)
	Whether to enable the auto setup of the batch size.
	EDeepLearningBenchmarkSettings (CppWrapperInternal::InternalConstructor)

Public Attributes
CppWrapperInternal::WrappedClass	wrappedClass_

Detailed Description

Class representing the settings of a Deep Learning benchmark.

License(s): EasyClassify or EasySegment or EasyLocate

Constructor & Destructor Documentation

EDeepLearningBenchmarkSettings() [1/3]

eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::EDeepLearningBenchmarkSettings

(

)

Constructor.

EDeepLearningBenchmarkSettings() [2/3]

eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::EDeepLearningBenchmarkSettings

(

const eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings &

other

)

Constructor.

Parameters

other

The other EDeepLearningBenchmarkSettings that we will copy into this one.

~EDeepLearningBenchmarkSettings()

eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::~EDeepLearningBenchmarkSettings ( ) throw (  )

virtual

EDeepLearningBenchmarkSettings() [3/3]

eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::EDeepLearningBenchmarkSettings

(

CppWrapperInternal::InternalConstructor

)

Member Function Documentation

GetBatchSize()

int eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetBatchSize

(

)

const

Batch size.

GetCameraSpeed()

float eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetCameraSpeed

(

)

const

Camera speed to simulate. If equal to 0, the benchmark will produce images as fast as possible.

Camera speed higher than 500 frame per seconds will lead to unreliable results.

GetDevice()

eVision::EasyDeepLearning::EDeepLearningDevice eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetDevice

(

)

const

Device to use for the benchmark.

GetEngine()

std::string eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetEngine

(

)

const

Deep Learning engine to use for the benchmark.

GetInferencePrecision()

eVision::EasyDeepLearning::EDeepLearningInferencePrecision eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetInferencePrecision

(

)

const

Inference precision to use for the benchmark.

GetInternalResizeDisabled()

bool eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetInternalResizeDisabled

(

)

const

Whether to disable the internal resize operation performed by the Deep Learning tools. When disabled, the benchmark will generate images at the optimal size for the tool.

GetName()

std::string eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetName

(

)

const

Name of the benchmark.

GetNumExternalThreads()

int eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetNumExternalThreads

(

)

const

Number of external threads.

GetNumInferences()

int eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetNumInferences

(

)

const

Number of iterations to use during the benchmark.

GetNumInternalThreads()

int eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetNumInternalThreads

(

)

const

Number of internal threads.

GetOptimizedBatchSize()

bool eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::GetOptimizedBatchSize

(

)

const

Whether to enable the auto setup of the batch size.

Load() [1/2]

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::Load ( const std::string & filePath )

virtual

Loads a EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for reading.

Parameters

filePath

File path.

Load() [2/2]

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::Load ( eVision::ESerializer * serializer )

virtual

Loads a EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for reading.

Parameters

serializer

Pointer to the ESerializer created for reading.

operator=()

eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings & eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::operator=

(

const eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings &

other

)

Assignment operator.

Parameters

other

The other EDeepLearningBenchmarkSettings that we will copy into this one.

Save() [1/2]

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::Save ( const std::string & filePath )

virtual

Saves the EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for writing.

Parameters

filePath

File path.

Save() [2/2]

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::Save ( eVision::ESerializer * serializer )

virtual

Saves the EDeepLearningBenchmarkSettings object. The given ESerializer must have been created for writing.

Parameters

serializer

Pointer to the ESerializer created for writing.

SetBatchSize()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetBatchSize

(

int

val

)

Batch size.

Parameters

val	Batch size

SetCameraSpeed()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetCameraSpeed

(

float

fps

)

Camera speed to simulate. If equal to 0, the benchmark will produce images as fast as possible.

Parameters

fps	Camera frame rate

Camera speed higher than 500 frame per seconds will lead to unreliable results.

SetDevice()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetDevice

(

const eVision::EasyDeepLearning::EDeepLearningDevice &

dev

)

Device to use for the benchmark.

Parameters

dev	Device to use for the benchmark

SetEngine()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetEngine

(

const std::string &

engine

)

Deep Learning engine to use for the benchmark.

Parameters

engine

Engine to use for the benchmark

SetInferencePrecision()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetInferencePrecision

(

eVision::EasyDeepLearning::EDeepLearningInferencePrecision

prec

)

Inference precision to use for the benchmark.

Parameters

prec	Inference precision to use for the benchmark

SetInternalResizeDisabled()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetInternalResizeDisabled

(

bool

disabled

)

Whether to disable the internal resize operation performed by the Deep Learning tools. When disabled, the benchmark will generate images at the optimal size for the tool.

Parameters

disabled

Whether to disable the internal resize

SetName()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetName

(

const std::string &

benchName

)

Name of the benchmark.

Parameters

benchName

Name for the benchmark

SetNumExternalThreads()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetNumExternalThreads

(

int

val

)

Number of external threads.

Parameters

val	New number of external threads

SetNumInferences()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetNumInferences

(

int

val

)

Number of iterations to use during the benchmark.

Parameters

val	Number of iterations

SetNumInternalThreads()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetNumInternalThreads

(

int

val

)

Number of internal threads.

Parameters

val	New number of internal threads

SetOptimizedBatchSize()

void eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::SetOptimizedBatchSize

(

bool

enable

)

Whether to enable the auto setup of the batch size.

Member Data Documentation

wrappedClass_

CppWrapperInternal::WrappedClass eVision::EasyDeepLearning::EDeepLearningBenchmarkSettings::wrappedClass_