Public Member Functions
	FaceExtractorCaffe (const Point< int > &netInputSize, const Point< int > &netOutputSize, const std::string &modelFolder, const int gpuId, const std::vector< HeatMapType > &heatMapTypes={}, const ScaleMode heatMapScale=ScaleMode::ZeroToOne, const bool enableGoogleLogging=true)

virtual	~FaceExtractorCaffe ()

void	netInitializationOnThread ()

void	forwardPass (const std::vector< Rectangle< float >> &faceRectangles, const cv::Mat &cvInputData, const double scaleInputToOutput)

Public Member Functions inherited from op::FaceExtractor
	FaceExtractor (const Point< int > &netInputSize, const Point< int > &netOutputSize, const std::vector< HeatMapType > &heatMapTypes={}, const ScaleMode heatMapScale=ScaleMode::ZeroToOne)

virtual	~FaceExtractor ()

void	initializationOnThread ()

Array< float >	getHeatMaps () const

Array< float >	getFaceKeypoints () const

Additional Inherited Members
Protected Attributes inherited from op::FaceExtractor
const Point< int >	mNetOutputSize

Array< float >	mFaceImageCrop

Array< float >	mFaceKeypoints

Array< float >	mHeatMaps

const ScaleMode	mHeatMapScaleMode

const std::vector< HeatMapType >	mHeatMapTypes

Detailed Description

Face keypoint extractor class for Caffe framework.

Constructor & Destructor Documentation

op::FaceExtractorCaffe::FaceExtractorCaffe	(	const Point< int > &	netInputSize,
		const Point< int > &	netOutputSize,
		const std::string &	modelFolder,
		const int	gpuId,
		const std::vector< HeatMapType > &	heatMapTypes = `{}`,
		const ScaleMode	heatMapScale = `ScaleMode::ZeroToOne`,
		const bool	enableGoogleLogging = `true`
	)

Constructor of the FaceExtractor class.

Parameters

netInputSize	Size at which the cropped image (where the face is located) is resized.
netOutputSize	Size of the final results. At the moment, it must be equal than netOutputSize.

virtual op::FaceExtractorCaffe::~FaceExtractorCaffe ( )

virtual

void op::FaceExtractorCaffe::forwardPass	(	const std::vector< Rectangle< float >> &	faceRectangles,
		const cv::Mat &	cvInputData,
		const double	scaleInputToOutput
	)

virtual

This function extracts the face keypoints for each detected face in the image.

Parameters

faceRectangles	location of the faces in the image. It is a length-variable std::vector, where each index corresponds to a different person in the image. Internally, a op::Rectangle<float> (similar to cv::Rect for floating values) with the position of that face (or 0,0,0,0 if some face is missing, e.g. if a specific person has only half of the body inside the image).
cvInputData	Original image in cv::Mat format and BGR format.
scaleInputToOutput	Desired scale of the final keypoints. Set to 1 if the desired size is the cvInputData size.

void op::FaceExtractorCaffe::netInitializationOnThread ( )

virtual

This function must be call before using any other function. It must also be called inside the thread in which the functions are going to be used.

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

/home/travis/build/CMU-Perceptual-Computing-Lab/openpose/include/openpose/face/faceExtractorCaffe.hpp