ModelObjectDetection class

Constructors

ModelObjectDetection(int _index, int imageWidth, int imageHeight, List<String> labels, {ObjectDetectionModelType modelType = ObjectDetectionModelType.yolov5})

Properties

hashCode → int

The hash code for this object.

no setter, inherited

imageHeight → int

final

imageWidth → int

final

labels → List<String>

final

modelType → ObjectDetectionModelType

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

addLabels(List<ResultObjectDetection> prediction) → void

Adds labels to the given list of prediction objects.

getCameraImagePrediction(CameraImage cameraImage, int rotation, {double minimumScore = 0.5, double iOUThreshold = 0.5, int boxesLimit = 10, CameraPreProcessingMethod cameraPreProcessingMethod = CameraPreProcessingMethod.imageLib, PreProcessingMethod preProcessingMethod = PreProcessingMethod.imageLib}) → Future<List<ResultObjectDetection>>

Retrieves a list of ResultObjectDetection with its assigned labels by predicting the objects in the given cameraImage. The rotation parameter specifies the rotation of the camera image. The optional parameters minimumScore, iOUThreshold, boxesLimit, cameraPreProcessingMethod, and preProcessingMethod allow customization of the prediction process.

getCameraImagePredictionList(CameraImage cameraImage, int rotation, {double minimumScore = 0.5, double iOUThreshold = 0.5, int boxesLimit = 10, CameraPreProcessingMethod cameraPreProcessingMethod = CameraPreProcessingMethod.imageLib, PreProcessingMethod preProcessingMethod = PreProcessingMethod.imageLib}) → Future<List<ResultObjectDetection>>

Retrieves a list of ResultObjectDetection by predicting the objects in the given cameraImage. The rotation parameter specifies the rotation of the camera image. The optional parameters minimumScore, iOUThreshold, boxesLimit, cameraPreProcessingMethod, and preProcessingMethod allow customization of the prediction process.

getImagePrediction(Uint8List imageAsBytes, {double minimumScore = 0.5, double iOUThreshold = 0.5, int boxesLimit = 10, PreProcessingMethod preProcessingMethod = PreProcessingMethod.imageLib}) → Future<List<ResultObjectDetection>>

Performs object detection on an image and returns a list of ResultObjectDetection with its assigned labels.

getImagePredictionFromBytesList(List<Uint8List> imageAsBytesList, int imageWidth, int imageHeight, {double minimumScore = 0.5, double iOUThreshold = 0.5, int boxesLimit = 10}) → Future<List<ResultObjectDetection>>

Performs object detection on an image as bytesList and returns a list of ResultObjectDetection with its assigned labels.

getImagePredictionList(Uint8List imageAsBytes, {double minimumScore = 0.5, double iOUThreshold = 0.5, int boxesLimit = 10, PreProcessingMethod preProcessingMethod = PreProcessingMethod.imageLib}) → Future<List<ResultObjectDetection>>

Returns a list of ResultObjectDetection for the given imageAsBytes.

getImagePredictionListFromBytesList(List<Uint8List> imageAsBytesList, int imageWidth, int imageHeight, {double minimumScore = 0.5, double iOUThreshold = 0.5, int boxesLimit = 10}) → Future<List<ResultObjectDetection>>

Performs object detection on an image as bytesList and returns a list of ResultObjectDetection.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

renderBoxesOnImage(File image, List<ResultObjectDetection?> recognitions, {Color? boxesColor, bool showPercentage = true}) → Widget

Renders a list of boxes on an image.

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited