CascadeClassifier class - cv library

Constructors

CascadeClassifier.empty(): factory
CascadeClassifier.fromFile(String filename): factory
CascadeClassifier.fromPointer(CascadeClassifierPtr ptr, [bool attach = true]): factory

Properties

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

Methods

detectMultiScale(InputArray image, {double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, (int, int) minSize = (0, 0), (int, int) maxSize = (0, 0)}) → VecRect: DetectMultiScale detects objects of different sizes in the input Mat image. The detected objects are returned as a slice of image.Rectangle structs.
detectMultiScale2(InputArray image, {double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, (int, int) minSize = (0, 0), (int, int) maxSize = (0, 0)}) → (VecRect, VecI32)
detectMultiScale2Async(InputArray image, {double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, (int, int) minSize = (0, 0), (int, int) maxSize = (0, 0)}) → Future<(VecRect, VecI32)>: Available on CascadeClassifier, provided by the CascadeClassifierAsync extension
detectMultiScale3(InputArray image, {double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, (int, int) minSize = (0, 0), (int, int) maxSize = (0, 0), bool outputRejectLevels = false}) → (VecRect, VecI32, VecF64)
detectMultiScale3Async(InputArray image, {double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, (int, int) minSize = (0, 0), (int, int) maxSize = (0, 0), bool outputRejectLevels = false}) → Future<(VecRect, VecI32, VecF64)>: Available on CascadeClassifier, provided by the CascadeClassifierAsync extension
detectMultiScaleAsync(InputArray image, {double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, (int, int) minSize = (0, 0), (int, int) maxSize = (0, 0)}) → Future<VecRect>: Available on CascadeClassifier, provided by the CascadeClassifierAsync extension
dispose() → void
empty() → bool: Checks whether the classifier has been loaded.
getFeatureType() → int: https://docs.opencv.org/4.x/d1/de5/classcv_1_1CascadeClassifier.html#a0bab6de516c685ba879a4b1f1debdef1
getOriginalWindowSize() → (int, int): https://docs.opencv.org/4.x/d1/de5/classcv_1_1CascadeClassifier.html#a7a131d319ab42a444ff2bcbb433b7b41
isOldFormatCascade() → bool: https://docs.opencv.org/4.x/d1/de5/classcv_1_1CascadeClassifier.html#a556bdd8738ba96aac07628ec38ff46da
load(String name) → bool: Load cascade classifier from a file.
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toString() → String: A string representation of this object.
inherited

Operators

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

Static Properties

finalizer → NativeFinalizer: final