org.opencv.objdetect

Class FaceRecognizerSF

java.lang.Object

org.opencv.objdetect.FaceRecognizerSF

public class FaceRecognizerSF
extends java.lang.Object

DNN-based face recognizer, model download link: https://drive.google.com/file/d/1ClK9WiB492c5OZFKveF3XiHCejoOxINW/view.

Field Summary

Fields

Modifier and Type	Field and Description
static int	FR_COSINE
static int	FR_NORM_L2

Method Summary

Modifier and Type	Method and Description
static FaceRecognizerSF	__fromPtr__(long addr)
void	alignCrop(Mat src_img, Mat face_box, Mat aligned_img) Aligning image to put face on the standard position
static FaceRecognizerSF	create(java.lang.String model, java.lang.String config) Creates an instance of this class with given parameters
static FaceRecognizerSF	create(java.lang.String model, java.lang.String config, int backend_id) Creates an instance of this class with given parameters
static FaceRecognizerSF	create(java.lang.String model, java.lang.String config, int backend_id, int target_id) Creates an instance of this class with given parameters
void	feature(Mat aligned_img, Mat face_feature) Extracting face feature from aligned image
long	getNativeObjAddr()
double	match(Mat _face_feature1, Mat _face_feature2) Calculating the distance between two face features
double	match(Mat _face_feature1, Mat _face_feature2, int dis_type) Calculating the distance between two face features

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

FR_COSINE

public static final int FR_COSINE

See Also:

Constant Field Values

FR_NORM_L2

public static final int FR_NORM_L2

See Also:

Constant Field Values

Method Detail

__fromPtr__

public static FaceRecognizerSF __fromPtr__(long addr)

alignCrop

public void alignCrop(Mat src_img,
                      Mat face_box,
                      Mat aligned_img)

Aligning image to put face on the standard position

Parameters:

src_img - input image

face_box - the detection result used for indicate face in input image

aligned_img - output aligned image

create

public static FaceRecognizerSF create(java.lang.String model,
                                      java.lang.String config)

Creates an instance of this class with given parameters

Parameters:

model - the path of the onnx model used for face recognition

config - the path to the config file for compability, which is not requested for ONNX models

Returns:

automatically generated

create

public static FaceRecognizerSF create(java.lang.String model,
                                      java.lang.String config,
                                      int backend_id)

Creates an instance of this class with given parameters

Parameters:

model - the path of the onnx model used for face recognition

config - the path to the config file for compability, which is not requested for ONNX models

backend_id - the id of backend

Returns:

automatically generated

create

public static FaceRecognizerSF create(java.lang.String model,
                                      java.lang.String config,
                                      int backend_id,
                                      int target_id)

Creates an instance of this class with given parameters

Parameters:

model - the path of the onnx model used for face recognition

config - the path to the config file for compability, which is not requested for ONNX models

backend_id - the id of backend

target_id - the id of target device

Returns:

automatically generated

feature

public void feature(Mat aligned_img,
                    Mat face_feature)

Extracting face feature from aligned image

Parameters:

aligned_img - input aligned image

face_feature - output face feature

getNativeObjAddr

public long getNativeObjAddr()

match

public double match(Mat _face_feature1,
                    Mat _face_feature2)

Calculating the distance between two face features

Parameters:

_face_feature1 - the first input feature

_face_feature2 - the second input feature of the same size and the same type as _face_feature1

Returns:

automatically generated

match

public double match(Mat _face_feature1,
                    Mat _face_feature2,
                    int dis_type)

Calculating the distance between two face features

Parameters:

_face_feature1 - the first input feature

_face_feature2 - the second input feature of the same size and the same type as _face_feature1

dis_type - defining the similarity with optional values "FR_OSINE" or "FR_NORM_L2"

Returns:

automatically generated