FaceDetectorYN class

DNN-based face detector.

model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet

Inheritance
Available extensions

Constructors

FaceDetectorYN.fromBuffer(String framework, Uint8List bufferModel, Uint8List bufferConfig, (int, int) inputSize, {double scoreThreshold = 0.9, double nmsThreshold = 0.3, int topK = 5000, int backendId = 0, int targetId = 0})
Creates an instance of face detector class with given parameters.
factory
FaceDetectorYN.fromFile(String model, String config, (int, int) inputSize, {double scoreThreshold = 0.9, double nmsThreshold = 0.3, int topK = 5000, int backendId = 0, int targetId = 0})
Creates an instance of face detector class with given parameters.
factory
FaceDetectorYN.fromPointer(FaceDetectorYNPtr ptr, [bool attach = true])
factory

Properties

hashCode → int
The hash code for this object.
no setterinherited
props → List<Object?>
no setterinherited
ptr ↔ Pointer<FaceDetectorYN>
getter/setter pairinherited
ref → FaceDetectorYN
no setteroverride
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited

Methods

detect(Mat image) → Mat
Detects faces in the input image. Following is an example output.
detectAsync(Mat image) → Future<Mat>

Available on FaceDetectorYN, provided by the FaceDetectorYNAsync extension

dispose() → void
getInputSize() → (int, int)
https://docs.opencv.org/4.x/df/d20/classcv_1_1FaceDetectorYN.html#a68b6fb9bffbed0f3d5c104996113f247
getNmsThreshold() → double
https://docs.opencv.org/4.x/df/d20/classcv_1_1FaceDetectorYN.html#a40749dc04b9578631d55122be9ab10c3
getScoreThreshold() → double
https://docs.opencv.org/4.x/df/d20/classcv_1_1FaceDetectorYN.html#a5329744e10441e1c01526f1ff10b80de
getTopK() → int
https://docs.opencv.org/4.x/df/d20/classcv_1_1FaceDetectorYN.html#acc6139ba763acd67f4aa738cee45b7ec
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
setInputSize((int, int) inputSize) → void
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.
setNMSThreshold(double nmsThreshold) → void
Set the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value.
setScoreThreshold(double scoreThreshold) → void
Set the score threshold to filter out bounding boxes of score less than the given value.
setTopK(int topK) → void
Set the number of bounding boxes preserved before NMS.
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited

Static Properties

finalizer → NativeFinalizer
final