#include <FlowNetwork.hpp>

Inheritance diagram for fast::FlowNetwork:

Collaboration diagram for fast::FlowNetwork:

Protected Member Functions
void	execute () override

	FlowNetwork ()

Protected Member Functions inherited from fast::NeuralNetwork
	NeuralNetwork ()

virtual void	run ()

std::unordered_map< std::string, Tensor::pointer >	processInputData ()

std::vector< std::shared_ptr< Image > >	resizeImages (const std::vector< std::shared_ptr< Image >> &images, int width, int height, int depth)

Tensor::pointer	convertImagesToTensor (std::vector< std::shared_ptr< Image >> image, const TensorShape &shape, bool temporal)

Tensor::pointer	standardizeOutputTensorData (Tensor::pointer tensor, int sample=0)

Protected Member Functions inherited from fast::ProcessObject
	ProcessObject ()

virtual void	preExecute ()

virtual void	postExecute ()

template<class DataType >
void	createInputPort (uint portID, bool required=true)

template<class DataType >
void	createOutputPort (uint portID)

template<class DataType >
std::shared_ptr< DataType >	getInputData (uint portID=0)

template<class DataType >
std::shared_ptr< DataType >	getOutputData (uint portID=0)

void	addOutputData (uint portID, DataObject::pointer data)

bool	hasNewInputData (uint portID)

virtual void	waitToFinish ()

void	createOpenCLProgram (std::string sourceFilename, std::string name="")

cl::Program	getOpenCLProgram (std::shared_ptr< OpenCLDevice > device, std::string name="", std::string buildOptions="")

void	createFloatAttribute (std::string id, std::string name, std::string description, float initialValue)

void	createIntegerAttribute (std::string id, std::string name, std::string description, int initialValue)

void	createBooleanAttribute (std::string id, std::string name, std::string description, bool initialValue)

void	createStringAttribute (std::string id, std::string name, std::string description, std::string initialValue)

float	getFloatAttribute (std::string id)

int	getIntegerAttribute (std::string id)

bool	getBooleanAttribute (std::string id)

std::string	getStringAttribute (std::string id)

std::vector< float >	getFloatListAttribute (std::string id)

std::vector< int >	getIntegerListAttribute (std::string id)

std::vector< bool >	getBooleanListAttribute (std::string id)

std::vector< std::string >	getStringListAttribute (std::string id)

void	changeDeviceOnInputs (uint deviceNumber, ExecutionDevice::pointer device)

void	validateInputPortExists (uint portID)

void	validateOutputPortExists (uint portID)

Protected Member Functions inherited from fast::Object
Reporter &	reportError ()

Reporter &	reportWarning ()

Reporter &	reportInfo ()

ReporterEnd	reportEnd () const

Additional Inherited Members
Public Types inherited from fast::ProcessObject
typedef std::shared_ptr< ProcessObject >	pointer

Public Types inherited from fast::Object
typedef std::shared_ptr< Object >	pointer

Public Member Functions inherited from fast::NeuralNetwork
void	load (std::string filename)

void	load (std::vector< uint8_t > model, std::vector< uint8_t > weights)

void	setInferenceEngine (InferenceEngine::pointer engine)

void	setInferenceEngine (std::string engine)

InferenceEngine::pointer	getInferenceEngine () const

void	setInputNode (uint portID, std::string name, NodeType type=NodeType::IMAGE, TensorShape shape={})

void	setOutputNode (uint portID, std::string name, NodeType type=NodeType::IMAGE, TensorShape shape={})

void	setScaleFactor (float scale)

void	setMeanAndStandardDeviation (float mean, float std)

void	setMinAndMaxIntensity (float min, float max)

void	setSignedInputNormalization (bool signedInputNormalization)

void	setPreserveAspectRatio (bool preserve)

void	setHorizontalFlipping (bool flip)

void	setTemporalWindow (uint window)

virtual void	setInputSize (std::string name, std::vector< int > size)

void	loadAttributes ()

virtual	~NeuralNetwork ()

Public Member Functions inherited from fast::ProcessObject
virtual	~ProcessObject ()

void	update (int executeToken=-1)

RuntimeMeasurement::pointer	getRuntime ()

RuntimeMeasurement::pointer	getRuntime (std::string name)

RuntimeMeasurementsManager::pointer	getAllRuntimes ()

void	enableRuntimeMeasurements ()

void	disableRuntimeMeasurements ()

void	setMainDevice (ExecutionDevice::pointer device)

void	setMainDeviceCriteria (const DeviceCriteria &citeria)

ExecutionDevice::pointer	getMainDevice () const

void	setDevice (uint deviceNumber, ExecutionDevice::pointer device)

void	setDeviceCriteria (uint deviceNumber, const DeviceCriteria &criteria)

ExecutionDevice::pointer	getDevice (uint deviceNumber) const

virtual DataChannel::pointer	getOutputPort (uint portID=0)

virtual DataChannel::pointer	getInputPort (uint portID=0)

virtual void	setInputConnection (DataChannel::pointer port)

virtual void	setInputConnection (uint portID, DataChannel::pointer port)

virtual void	setInputData (DataObject::pointer data)

virtual void	setInputData (uint portID, DataObject::pointer data)

int	getNrOfInputConnections () const

int	getNrOfOutputPorts () const

virtual std::string	getNameOfClass () const =0

std::shared_ptr< Attribute >	getAttribute (std::string id)

std::unordered_map< std::string, std::shared_ptr< Attribute > >	getAttributes ()

void	setAttributes (std::vector< std::shared_ptr< Attribute >> attributes)

void	stopPipeline ()

void	setModified (bool modified)

template<class DataType >
std::shared_ptr< DataType >	updateAndGetOutputData (uint portID=0)

Public Member Functions inherited from fast::Object
	Object ()

virtual	~Object ()

Reporter &	getReporter ()

Static Public Member Functions inherited from fast::ProcessObject
static std::string	getStaticNameOfClass ()

Static Public Member Functions inherited from fast::Object
static std::string	getStaticNameOfClass ()

Protected Attributes inherited from fast::NeuralNetwork
bool	mPreserveAspectRatio

bool	mHorizontalImageFlipping = false

bool	mSignedInputNormalization = false

int	mTemporalWindow = 0

int	m_batchSize

float	mScaleFactor

float	mMean

float	mStd

float	mMinIntensity

float	mMaxIntensity

bool	mMinAndMaxIntensitySet = false

Vector3f	mNewInputSpacing

std::unordered_map< std::string, std::vector< int > >	mInputSizes

std::unordered_map< int, DataObject::pointer >	m_processedOutputData

std::shared_ptr< InferenceEngine >	m_engine

std::unordered_map< std::string, std::vector< std::shared_ptr< Image > > >	mInputImages

std::unordered_map< std::string, std::vector< std::shared_ptr< Tensor > > >	mInputTensors

Protected Attributes inherited from fast::ProcessObject
bool	mIsModified

int	m_lastExecuteToken = -1

RuntimeMeasurementsManager::pointer	mRuntimeManager

std::unordered_map< uint, bool >	mRequiredInputs

std::unordered_map< uint, std::vector< uint > >	mInputDevices

std::unordered_map< uint, ExecutionDevice::pointer >	mDevices

std::unordered_map< uint, DeviceCriteria >	mDeviceCriteria

std::unordered_map< uint, DataChannel::pointer >	mInputConnections

std::unordered_map< uint, std::vector< std::weak_ptr< DataChannel > > >	mOutputConnections

std::unordered_map< uint, bool >	mInputPorts

std::unordered_set< uint >	mOutputPorts

std::unordered_map< uint, std::pair< DataObject::pointer, uint64_t > >	mLastProcessed

std::unordered_map< std::string, std::shared_ptr< OpenCLProgram > >	mOpenCLPrograms

std::unordered_map< std::string, std::shared_ptr< Attribute > >	mAttributes

std::unordered_map< std::string, std::string >	m_frameData

std::unordered_set< std::string >	m_lastFrame

int	m_maximumNrOfFrames = -1

Protected Attributes inherited from fast::Object
std::weak_ptr< Object >	mPtr

Detailed Description

A neural network which takes a sequence of images as input, and then outputs a flow/displacement vector field. This can be a flow network which estimates the motion between two frames.

Constructor & Destructor Documentation

◆ FlowNetwork()

fast::FlowNetwork::FlowNetwork ( )

protected

Member Function Documentation

◆ execute()

void fast::FlowNetwork::execute ( )

overrideprotectedvirtual

Implements fast::ProcessObject.

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

Algorithms/NeuralNetwork/FlowNetwork.hpp

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ FlowNetwork()

Member Function Documentation

◆ execute()