Inheritance diagram for CVFeatureExtractor:

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Collaboration diagram for CVFeatureExtractor:

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Public Types
using	Ptr = std::shared_ptr< CVFeatureExtractor >

Public Types inherited from FeatureExtractor
using	Ptr = std::shared_ptr< FeatureExtractor >
	shared pointer type of FeatureExtractor

Public Types inherited from WorkFlowObject
using	DataQueue = std::queue< DataFlowObject::Ptr >

using	Ptr = std::shared_ptr< WorkFlowObject >
	shared pointer of WorkFlowObject

Public Member Functions
virtual bool	load (JsonNode &fs) override
	load data and settings from file More...

virtual bool	save (JsonNode &fs) override
	save data and settings to file More...

virtual std::string	type_name () override
	Get the Flow Name. More...

Public Member Functions inherited from FeatureExtractor
	FeatureExtractor ()
	Construct a new Feature Extractor object.

virtual	~FeatureExtractor ()
	Destroy the Feature Extractor object.

virtual std::string	type_name () override
	Get the Flow Name. More...

bool	clear () override
	clear the workflow state, the workflow should be re-init after clear. More...

bool	Compute (FrameObject::Ptr frame)
	detect feature points and compute the descriptors of the frame More...

Public Member Functions inherited from WorkFlowObject
	WorkFlowObject ()
	Construct a new Work Flow Object object.

virtual	~WorkFlowObject ()
	Destroy the Work Flow Object object.

virtual bool	clear ()=0
	clear the workflow state, the workflow should be re-init after clear. More...

virtual bool	isInit ()
	check if the workflow is inited More...

Public Member Functions inherited from MVSObject
	MVSObject ()
	Construct a new MVSObject object.

virtual	~MVSObject ()
	Destroy the MVSObject object.

virtual bool	save (JsonNode &fs)=0
	save data and settings to file More...

virtual bool	load (JsonNode &fs)=0
	load data and settings from file More...

virtual std::string	type_name ()
	get the typename. More...

Static Public Member Functions
static CVFeatureExtractor::Ptr	Create ()

Additional Inherited Members
Public Slots inherited from FeatureExtractor
void	Trigger ()

void	Trigger (DataQueue data) override

Public Slots inherited from WorkFlowObject
virtual void	Trigger ()=0
	trigger one work load of the workflow with preload input and output settings.

virtual void	Trigger (DataQueue data)=0
	trigger one work load of the workflow with input data. More...

Signals inherited from WorkFlowObject
void	Finished (DataQueue)
	the current work load of the workflow is finished, and the processeed data pointer is stored in the queue, the workflow can be assigned to new work load with trigger() method More...

void	Finished ()
	the current work load of the workflow is finished, the workflow can be assigned to new work load with trigger() method

void	Failed ()
	the current work failed.

void	Error (std::string error)
	emit error message More...

void	Progress (int progress)
	emit percentage of the work load 0-100 More...

void	Warning (std::string warning)
	emit warning output message More...

void	Info (std::string info)
	emit information output message More...

Protected Member Functions inherited from MVSObject
bool	isDirExist (std::string path)
	check if the directory is exist. More...

bool	mkdir (std::string path)
	create directory in given path. More...

Protected Attributes inherited from FeatureExtractor
cv::Ptr< cv::Feature2D >	detector

Protected Attributes inherited from WorkFlowObject
bool	m_isInit = false
	default indicator of wether the workflow is initialized, the workflow may or may not use this variable to indicate if its initialized, it depends on the implementation of isInit() method.

Member Function Documentation

◆ load()

bool CVFeatureExtractor::load ( JsonNode & fs )

overridevirtual

load data and settings from file

this method will load data such as keypoints, descriptors, translation matrices in DataFlowObject and its sub-classes from the given JsonNode instance. or will load parameters and settings in WorkFlowObject and its sub-classes to the given JsonNode instance, and automatically initialize the WorkFlow with these parameters

Parameters

fs	the json handler

Returns: true load successfully; false load failed or initialization falied.

Implements MVSObject.

◆ save()

bool CVFeatureExtractor::save ( JsonNode & fs )

overridevirtual

save data and settings to file

this method will save data such as keypoints, descriptors, translation matrices in DataFlowObject and its sub-classes to the given JsonNode instance, or will save parameters and settings in WorkFlowObject and its sub-classes to the given JsonNode instance.

Parameters

fs	the json handler

Returns: true save successfully; false save failed

Implements MVSObject.

◆ type_name()

std::string CVFeatureExtractor::type_name ( )

overridevirtual

Get the Flow Name.

Returns: std::string flow name

Reimplemented from FeatureExtractor.

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

C:/Users/ZhouZishun/Documents/Workspace/EasyMVS/core/FeatureExtraction/FeatureExtractor.h
C:/Users/ZhouZishun/Documents/Workspace/EasyMVS/core/FeatureExtraction/FeatureExtractor.cpp

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Member Function Documentation

◆ load()

◆ save()

◆ type_name()