core::face::FaceMesh Class Reference

A class responsible for initializing, configuring, and processing face mesh detection using neural networks. More...

#include <FaceMesh.h>

Inheritance diagram for core::face::FaceMesh:

Collaboration diagram for core::face::FaceMesh:

Public Member Functions
	FaceMesh ()=default
	Default constructor for the FaceMesh class.
	~FaceMesh ()=default
	Default destructor for the FaceMesh class.
void	init (std::string framework, std::string modelWeightsFile, std::string classesFile, std::string modelConfigurationFile, std::string inputLayerName, std::string outputLayerName, std::string networkName, int inputWidth, int inputHeight, double scale, double mean0, double mean1, double mean2, std::string configBackend, std::string configTarget, double confidenceThreshold)
	Initializes the neural network for face mesh detection. More...
void	process (const cv::Mat &frame, std::vector< core::Detection > &detections)
	Processes an input frame to detect face meshes. More...
Public Member Functions inherited from core::NeuralBase
std::string	getName ()
	Gets the name of the neural network. More...
double	getInferenceTime ()
	Gets the inference time of the network. More...
void	loadNetwork (std::string framework, std::string modelWeightsFile, std::string classesFile="", std::string modelConfigurationFile="", std::string inputLayerName="", std::string outputLayerName="")
	Loads the neural network from memory buffer. More...
void	configureNetwork (std::string name, int inputWidth, int inputHeight, double scale, double mean0, double mean1, double mean2, std::string configBackend, std::string configTarget, double confidenceThreshold)
	Configures the network with various parameters. More...
std::vector< std::string >	getOutputsNames (const cv::dnn::Net &net)
	Gets the names of the output layers of the network. More...

Additional Inherited Members
Protected Member Functions inherited from core::NeuralBase
void	readClassNames (const std::string &filePath)
Protected Attributes inherited from core::NeuralBase
std::string	mFramework
std::string	mInputLayerName
std::string	mOutputLayerName
std::string	mName
cv::dnn::Net	mNet
std::vector< std::string >	classes
double	scaleFactor = 1.0
cv::Scalar	mean { 0.0, 0.0, 0.0 }
cv::Size	size { 128, 128 }
cv::dnn::Backend	selectedBackend
cv::dnn::Target	selectedTarget
float	confThreshold = 0.5F
std::map< std::string, cv::dnn::Backend >	backends
std::map< std::string, cv::dnn::Target >	targets

Detailed Description

A class responsible for initializing, configuring, and processing face mesh detection using neural networks.

Inherits from NeuralBase and facilitates face detection with customizable network configurations, layer specifications, and processing parameters.

Member Function Documentation

init()

void core::face::FaceMesh::init	(	std::string	framework,
		std::string	modelWeightsFile,
		std::string	classesFile,
		std::string	modelConfigurationFile,
		std::string	inputLayerName,
		std::string	outputLayerName,
		std::string	networkName,
		int	inputWidth,
		int	inputHeight,
		double	scale,
		double	mean0,
		double	mean1,
		double	mean2,
		std::string	configBackend,
		std::string	configTarget,
		double	confidenceThreshold
	)

Initializes the neural network for face mesh detection.

Parameters

framework	The framework to use for the model (e.g., "TensorFlow", "Caffe").
modelWeightsFile	Path to the file containing the model weights.
classesFile	Path to the file containing class labels.
modelConfigurationFile	Path to the model configuration file.
inputLayerName	Name of the network's input layer.
outputLayerName	Name of the network's output layer.
networkName	The name identifier for the neural network.
inputWidth	Width of the network's input.
inputHeight	Height of the network's input.
scale	Scaling factor to normalize the input image.
mean0	Mean value for the first channel normalization.
mean1	Mean value for the second channel normalization.
mean2	Mean value for the third channel normalization.
configBackend	Backend configuration for processing.
configTarget	Target hardware configuration for processing.
confidenceThreshold	Minimum confidence level for detections.

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process()

void core::face::FaceMesh::process	(	const cv::Mat &	frame,
		std::vector< core::Detection > &	detections
	)

Processes an input frame to detect face meshes.

Parameters

frame	The input image frame in which face detection is to be processed.
detections	A vector to store the detected face meshes.

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

• C:/Projects/Engine/AntalEngine/Engine/FaceMesh.h
• C:/Projects/Engine/AntalEngine/Engine/FaceMesh.cpp