org.opencv.objdetect

Class FaceDetectorYN

java.lang.Object

org.opencv.objdetect.FaceDetectorYN

public class FaceDetectorYN
extends java.lang.Object

DNN-based face detector model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet

Method Summary

Modifier and Type	Method and Description
static FaceDetectorYN	__fromPtr__(long addr)
static FaceDetectorYN	create(java.lang.String model, java.lang.String config, Size input_size) Creates an instance of this class with given parameters
static FaceDetectorYN	create(java.lang.String model, java.lang.String config, Size input_size, float score_threshold) Creates an instance of this class with given parameters
static FaceDetectorYN	create(java.lang.String model, java.lang.String config, Size input_size, float score_threshold, float nms_threshold) Creates an instance of this class with given parameters
static FaceDetectorYN	create(java.lang.String model, java.lang.String config, Size input_size, float score_threshold, float nms_threshold, int top_k) Creates an instance of this class with given parameters
static FaceDetectorYN	create(java.lang.String model, java.lang.String config, Size input_size, float score_threshold, float nms_threshold, int top_k, int backend_id) Creates an instance of this class with given parameters
static FaceDetectorYN	create(java.lang.String model, java.lang.String config, Size input_size, float score_threshold, float nms_threshold, int top_k, int backend_id, int target_id) Creates an instance of this class with given parameters
int	detect(Mat image, Mat faces) Detects faces in the input image.
Size	getInputSize()
long	getNativeObjAddr()
float	getNMSThreshold()
float	getScoreThreshold()
int	getTopK()
void	setInputSize(Size input_size) Set the size for the network input, which overwrites the input size of creating model.
void	setNMSThreshold(float nms_threshold) Set the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value
void	setScoreThreshold(float score_threshold) Set the score threshold to filter out bounding boxes of score less than the given value
void	setTopK(int top_k) Set the number of bounding boxes preserved before NMS

Methods inherited from class java.lang.Object

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

Method Detail

__fromPtr__

public static FaceDetectorYN __fromPtr__(long addr)

create

public static FaceDetectorYN create(java.lang.String model,
                                    java.lang.String config,
                                    Size input_size)

Creates an instance of this class with given parameters

Parameters:

model - the path to the requested model

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

input_size - the size of the input image

Returns:

automatically generated

create

public static FaceDetectorYN create(java.lang.String model,
                                    java.lang.String config,
                                    Size input_size,
                                    float score_threshold)

Creates an instance of this class with given parameters

Parameters:

model - the path to the requested model

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

input_size - the size of the input image

score_threshold - the threshold to filter out bounding boxes of score smaller than the given value

Returns:

automatically generated

create

public static FaceDetectorYN create(java.lang.String model,
                                    java.lang.String config,
                                    Size input_size,
                                    float score_threshold,
                                    float nms_threshold)

Creates an instance of this class with given parameters

Parameters:

model - the path to the requested model

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

input_size - the size of the input image

score_threshold - the threshold to filter out bounding boxes of score smaller than the given value

nms_threshold - the threshold to suppress bounding boxes of IoU bigger than the given value

Returns:

automatically generated

create

public static FaceDetectorYN create(java.lang.String model,
                                    java.lang.String config,
                                    Size input_size,
                                    float score_threshold,
                                    float nms_threshold,
                                    int top_k)

Creates an instance of this class with given parameters

Parameters:

model - the path to the requested model

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

input_size - the size of the input image

score_threshold - the threshold to filter out bounding boxes of score smaller than the given value

nms_threshold - the threshold to suppress bounding boxes of IoU bigger than the given value

top_k - keep top K bboxes before NMS

Returns:

automatically generated

create

public static FaceDetectorYN create(java.lang.String model,
                                    java.lang.String config,
                                    Size input_size,
                                    float score_threshold,
                                    float nms_threshold,
                                    int top_k,
                                    int backend_id)

Creates an instance of this class with given parameters

Parameters:

model - the path to the requested model

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

input_size - the size of the input image

score_threshold - the threshold to filter out bounding boxes of score smaller than the given value

nms_threshold - the threshold to suppress bounding boxes of IoU bigger than the given value

top_k - keep top K bboxes before NMS

backend_id - the id of backend

Returns:

automatically generated

create

public static FaceDetectorYN create(java.lang.String model,
                                    java.lang.String config,
                                    Size input_size,
                                    float score_threshold,
                                    float nms_threshold,
                                    int top_k,
                                    int backend_id,
                                    int target_id)

Creates an instance of this class with given parameters

Parameters:

model - the path to the requested model

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

input_size - the size of the input image

score_threshold - the threshold to filter out bounding boxes of score smaller than the given value

nms_threshold - the threshold to suppress bounding boxes of IoU bigger than the given value

top_k - keep top K bboxes before NMS

backend_id - the id of backend

target_id - the id of target device

Returns:

automatically generated

detect

public int detect(Mat image,
                  Mat faces)

Detects faces in the input image. Following is an example output. 

Parameters:

image - an image to detect

faces - detection results stored in a 2D cv::Mat of shape [num_faces, 15] - 0-1: x, y of bbox top left corner - 2-3: width, height of bbox - 4-5: x, y of right eye (blue point in the example image) - 6-7: x, y of left eye (red point in the example image) - 8-9: x, y of nose tip (green point in the example image) - 10-11: x, y of right corner of mouth (pink point in the example image) - 12-13: x, y of left corner of mouth (yellow point in the example image) - 14: face score

Returns:

automatically generated

getInputSize

public Size getInputSize()

getNativeObjAddr

public long getNativeObjAddr()

getNMSThreshold

public float getNMSThreshold()

getScoreThreshold

public float getScoreThreshold()

getTopK

public int getTopK()

setInputSize

public void setInputSize(Size input_size)

Set the size for the network input, which overwrites the input size of creating model. Call this method when the size of input image does not match the input size when creating model

Parameters:

input_size - the size of the input image

setNMSThreshold

public void setNMSThreshold(float nms_threshold)

Set the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value

Parameters:

nms_threshold - threshold for NMS operation

setScoreThreshold

public void setScoreThreshold(float score_threshold)

Set the score threshold to filter out bounding boxes of score less than the given value

Parameters:

score_threshold - threshold for filtering out bounding boxes

setTopK

public void setTopK(int top_k)

Set the number of bounding boxes preserved before NMS

Parameters:

top_k - the number of bounding boxes to preserve from top rank based on score