facemark_train.hpp File Reference

#include "opencv2/face/facemark.hpp"
#include "opencv2/objdetect.hpp"
#include <vector>
#include <string>

Classes
struct	cv::face::CParams
class	cv::face::FacemarkTrain
	Abstract base class for trainable facemark models. More...

Namespaces
namespace	cv
	"black box" representation of the file storage associated with a file on disk.
namespace	cv::face

Typedefs
typedef bool(*	cv::face::FN_FaceDetector )(InputArray, OutputArray, void *userData)

Functions
void	cv::face::drawFacemarks (InputOutputArray image, InputArray points, Scalar color=Scalar(255, 0, 0))
	Utility to draw the detected facial landmark points.
bool	cv::face::getFaces (InputArray image, OutputArray faces, CParams *params)
	Default face detector This function is mainly utilized by the implementation of a Facemark Algorithm. End users are advised to use function Facemark::getFaces which can be manually defined and circumvented to the algorithm by Facemark::setFaceDetector.
bool	cv::face::getFacesHAAR (InputArray image, OutputArray faces, const String &face_cascade_name)
bool	cv::face::loadDatasetList (String imageList, String annotationList, std::vector< String > &images, std::vector< String > &annotations)
	A utility to load list of paths to training image and annotation file.
bool	cv::face::loadFacePoints (String filename, OutputArray points, float offset=0.0f)
	A utility to load facial landmark information from a given file.
bool	cv::face::loadTrainingData (String filename, std::vector< String > &images, OutputArray facePoints, char delim= ' ', float offset=0.0f)
	A utility to load facial landmark dataset from a single file.
bool	cv::face::loadTrainingData (String imageList, String groundTruth, std::vector< String > &images, OutputArray facePoints, float offset=0.0f)
	A utility to load facial landmark information from the dataset.
bool	cv::face::loadTrainingData (std::vector< String > filename, std::vector< std::vector< Point2f > > &trainlandmarks, std::vector< String > &trainimages)
	This function extracts the data for training from .txt files which contains the corresponding image name and landmarks. *The first file in each file should give the path of the image whose *landmarks are being described in the file. Then in the subsequent *lines there should be coordinates of the landmarks in the image *i.e each line should be of the form x,y *where x represents the x coordinate of the landmark and y represents *the y coordinate of the landmark.