cvcore::gazenet::GazeNetPreProcessor Class Reference

Detailed Description

Interface for running pre-processing on GazeNet.

Definition at line 67 of file GazeNet.h.

Public Member Functions
	GazeNetPreProcessor ()=delete
	Default constructor is deleted. More...
	GazeNetPreProcessor (const ImagePreProcessingParams &preProcessorParams, const ModelInputParams &modelInputParams)
	Constructor of GazeNetPreProcessor. More...
	~GazeNetPreProcessor ()
	Destructor of GazeNetPreProcessor. More...
void	setLandmarksMeanAndVariance (const Array< Vector2f > &landmarksMean, const Array< Vector2f > &landmarksStd)
	Set the mean and standard deviation of the landmarks for the model. More...
void	execute (Tensor< NHWC, C1, F32 > &outputFace, Tensor< NHWC, C1, F32 > &outputLeft, Tensor< NHWC, C1, F32 > &outputRight, Tensor< CL, CX, F32 > &outputFeatures, const Tensor< NHWC, C3, U8 > &inputImage, const Array< BBox > &inputBBox, const Array< ArrayN< Vector2f, GazeNetPreProcessor::NUM_LANDMARKS >> &inputLandmarks, FeatureType type=FeatureType::FACEGRID, cudaStream_t stream=0)
	Main interface to run pre-processing. More...

Static Public Attributes
static constexpr size_t	NUM_LANDMARKS = 68
	Number of landmarks needed for the model. More...
static constexpr float	BBOX_FACE_SCALE = 1.3f
	Scaling factor for face. More...
static constexpr float	BBOX_EYE_SCALE = 1.8f
	Scaling factor for eyes. More...
static const float	DEFAULT_LANDMARKS_MEAN []
	Default landmarks mean values for the model. More...
static const float	DEFAULT_LANDMARKS_STD []
	Default landmarks standard deviation values for the model. More...

Constructor & Destructor Documentation

GazeNetPreProcessor() [1/2]

cvcore::gazenet::GazeNetPreProcessor::GazeNetPreProcessor ( )

delete

Default constructor is deleted.

GazeNetPreProcessor() [2/2]

cvcore::gazenet::GazeNetPreProcessor::GazeNetPreProcessor	(	const ImagePreProcessingParams &	preProcessorParams,
		const ModelInputParams &	modelInputParams
	)

Constructor of GazeNetPreProcessor.

Parameters

preProcessorParams	image pre-processing parameters.
modelInputParams	model paramters for network.

~GazeNetPreProcessor()

cvcore::gazenet::GazeNetPreProcessor::~GazeNetPreProcessor

(

)

Destructor of GazeNetPreProcessor.

Member Function Documentation

execute()

void cvcore::gazenet::GazeNetPreProcessor::execute	(	Tensor< NHWC, C1, F32 > &	outputFace,
		Tensor< NHWC, C1, F32 > &	outputLeft,
		Tensor< NHWC, C1, F32 > &	outputRight,
		Tensor< CL, CX, F32 > &	outputFeatures,
		const Tensor< NHWC, C3, U8 > &	inputImage,
		const Array< BBox > &	inputBBox,
		const Array< ArrayN< Vector2f, GazeNetPreProcessor::NUM_LANDMARKS >> &	inputLandmarks,
		FeatureType	type = FeatureType::FACEGRID,
		cudaStream_t	stream = 0
	)

Main interface to run pre-processing.

Parameters

outputFace	output tensor for face region.
outputLeft	output tensor for left eye.
outputRight	output tensor for right eye.
outputFeatures	output normalized landmarks or facegrid.
inputImage	input image tensor.
inputBBox	input BBox of the face.
inputLandmarks	input raw facial landmarks.
type	whether to use facegrid model or landmarks model.
stream	cuda stream.

setLandmarksMeanAndVariance()

void cvcore::gazenet::GazeNetPreProcessor::setLandmarksMeanAndVariance	(	const Array< Vector2f > &	landmarksMean,
		const Array< Vector2f > &	landmarksStd
	)

Set the mean and standard deviation of the landmarks for the model.

Parameters

landmarksMean	mean of the landmarks.
landmarksStd	standard deviation of the landmarks.

Field Documentation

BBOX_EYE_SCALE

constexpr float cvcore::gazenet::GazeNetPreProcessor::BBOX_EYE_SCALE = 1.8f

staticconstexpr

Scaling factor for eyes.

Definition at line 83 of file GazeNet.h.

BBOX_FACE_SCALE

constexpr float cvcore::gazenet::GazeNetPreProcessor::BBOX_FACE_SCALE = 1.3f

staticconstexpr

Scaling factor for face.

Definition at line 78 of file GazeNet.h.

DEFAULT_LANDMARKS_MEAN

const float cvcore::gazenet::GazeNetPreProcessor::DEFAULT_LANDMARKS_MEAN[]

static

Default landmarks mean values for the model.

Definition at line 88 of file GazeNet.h.

DEFAULT_LANDMARKS_STD

const float cvcore::gazenet::GazeNetPreProcessor::DEFAULT_LANDMARKS_STD[]

static

Default landmarks standard deviation values for the model.

Definition at line 93 of file GazeNet.h.

NUM_LANDMARKS

constexpr size_t cvcore::gazenet::GazeNetPreProcessor::NUM_LANDMARKS = 68

staticconstexpr

Number of landmarks needed for the model.

Definition at line 73 of file GazeNet.h.

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

• GazeNet.h