Inheritance diagram for ModelSSD:

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Collaboration diagram for ModelSSD:

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Public Member Functions
	ModelSSD (const std::string &modelFileName, float confidenceThreshold, bool useAutoResize, const std::vector< std::string > &labels=std::vector< std::string >(), const std::string &layout="")

std::shared_ptr< InternalModelData >	preprocess (const InputData &inputData, ov::InferRequest &request) override

std::unique_ptr< ResultBase >	postprocess (InferenceResult &infResult) override

Public Member Functions inherited from DetectionModel
	DetectionModel (const std::string &modelFileName, float confidenceThreshold, bool useAutoResize, const std::vector< std::string > &labels, const std::string &layout="")

Public Member Functions inherited from ImageModel
	ImageModel (const std::string &modelFileName, bool useAutoResize, const std::string &layout="")

std::shared_ptr< InternalModelData >	preprocess (const InputData &inputData, ov::InferRequest &request) override

Public Member Functions inherited from ModelBase
	ModelBase (const std::string &modelFileName, const std::string &layout="")

virtual ov::CompiledModel	compileModel (const ModelConfig &config, ov::Core &core)

virtual void	onLoadCompleted (const std::vector< ov::InferRequest > &requests)

const std::vector< std::string > &	getOutputsNames () const

const std::vector< std::string > &	getInputsNames () const

std::string	getModelFileName ()

void	setInputsPreprocessing (bool reverseInputChannels, const std::string &meanValues, const std::string &scaleValues)

Protected Member Functions
std::unique_ptr< ResultBase >	postprocessSingleOutput (InferenceResult &infResult)

std::unique_ptr< ResultBase >	postprocessMultipleOutputs (InferenceResult &infResult)

void	prepareInputsOutputs (std::shared_ptr< ov::Model > &model) override

void	prepareSingleOutput (std::shared_ptr< ov::Model > &model)

void	prepareMultipleOutputs (std::shared_ptr< ov::Model > &model)

Protected Member Functions inherited from DetectionModel
std::string	getLabelName (size_t labelID)

Protected Member Functions inherited from ModelBase
virtual void	setBatch (std::shared_ptr< ov::Model > &model)

std::shared_ptr< ov::Model >	prepareModel (ov::Core &core)

ov::Layout	getInputLayout (const ov::Output< ov::Node > &input)

Protected Attributes
size_t	objectSize = 0

size_t	detectionsNumId = 0

Protected Attributes inherited from DetectionModel
float	confidenceThreshold

std::vector< std::string >	labels

Protected Attributes inherited from ImageModel
bool	useAutoResize

size_t	netInputHeight = 0

size_t	netInputWidth = 0

cv::InterpolationFlags	interpolationMode = cv::INTER_LINEAR

RESIZE_MODE	resizeMode = RESIZE_FILL

Protected Attributes inherited from ModelBase
InputTransform	inputTransform = InputTransform()

std::vector< std::string >	inputsNames

std::vector< std::string >	outputsNames

ov::CompiledModel	compiledModel

std::string	modelFileName

ModelConfig	config = {}

std::map< std::string, ov::Layout >	inputsLayouts

Additional Inherited Members
Static Public Member Functions inherited from DetectionModel
static std::vector< std::string >	loadLabels (const std::string &labelFilename)

Constructor & Destructor Documentation

◆ ModelSSD()

Constructor

Parameters

modelFileName	name of model to load
confidenceThreshold	- threshold to eliminate low-confidence detections. Any detected object with confidence lower than this threshold will be ignored.
useAutoResize	- if true, image will be resized by openvino. Otherwise, image will be preprocessed and resized using OpenCV routines.
labels	- array of labels for every class. If this array is empty or contains less elements than actual classes number, default "Label #N" will be shown for missing items.
layout	- model input layout

std::unique_ptr< ResultBase > ModelSSD::postprocessMultipleOutputs ( InferenceResult & infResult )

protected

Filtering out objects with confidence < confidence_threshold probability

std::unique_ptr< ResultBase > ModelSSD::postprocessSingleOutput ( InferenceResult & infResult )

protected

Filtering out objects with confidence < confidence_threshold probability

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