Transformation class

Constructors

Transformation()

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

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 Methods

afRemove() → TransformationData

Artifact Removal Plugin

awsrekDetectlabels({int? maximumLabels = 5, int? minimumConfidence = 55}) → TransformationData

Detect objects and text in images

awsrekModeration({int? minimumConfidence = 55}) → TransformationData

Detect objects and text in images

cosDetect({int? objectThresholdPercent = 50}) → TransformationData

Calculates the percentage of the main object area relative to image dimensions.

cpvDetect() → TransformationData

Classifies whether the product in the image is completely visible or not

dbtDetect() → TransformationData

Classifies the background of a product as plain, clean or busy

eraseBg({EraseIndustryType? industryType = EraseIndustryType.general, bool? addShadow = false, bool? refine = true}) → TransformationData

EraseBG Background Removal Module

generateBg({String? backgroundPrompt = "YSBmb3Jlc3QgZnVsbCBvZiBvYWsgdHJlZXMsd2l0aCBicmlnaHQgbGlnaHRzLCBzdW4gYW5kIGEgbG90IG9mIG1hZ2ljLCB1bHRyYSByZWFsaXN0aWMsIDhr", GenerateFocus? focus = GenerateFocus.product, String? negativePrompt = "", int? seed = 123}) → TransformationData

AI Background Generator

googlevisDetectlabels({int? maximumLabels = 5}) → TransformationData

Detect content and text in images

icCrop({int? requiredWidth = 0, int? requiredHeight = 0, int? paddingPercentage = 0, bool? maintainOriginalAspect = false, String? aspectRatio = "", IcGravitytowards? gravityTowards = IcGravitytowards.none, IcPreferreddirection? preferredDirection = IcPreferreddirection.center, IcObjectType? objectType = IcObjectType.person}) → TransformationData

Intelligent Crop Plugin

imcDetect({int? distancePercentage = 10}) → TransformationData

Image Centering Module

nsfwDetect({double? minimumConfidence = 0.5}) → TransformationData

Detect NSFW content in images

numplateDetect() → TransformationData

Number Plate Detection Plugin

ocDetect() → TransformationData

Classifies whether objects in the image are single or multiple

ocrExtract({bool? detectOnly = false}) → TransformationData

OCR Module

odDetect() → TransformationData

Detect bounding boxes of objects in the image

prTag() → TransformationData

AI Product Tagging

pwrRemove() → TransformationData

PDF Watermark Removal Plugin

qrGenerate({int? width = 300, int? height = 300, String? image = "", int? margin = 0, int? qRTypeNumber = 0, QrQrerrorcorrectionlevel? qrErrorCorrectionLevel = QrQrerrorcorrectionlevel.q, double? imageSize = 0.4, int? imageMargin = 0, String? dotsColor = "000000", QrDotsType? dotsType = QrDotsType.square, String? dotsBgColor = "ffffff", String? cornerSquareColor = "000000", QrCornersquareType? cornerSquareType = QrCornersquareType.square, String? cornerDotsColor = "000000", QrCornerdotsType? cornerDotsType = QrCornerdotsType.dot}) → TransformationData

QRCode Plugin

qrScan() → TransformationData

QRCode Plugin

removeBg() → TransformationData

Remove background from any image

shadowGen({String? backgroundImage = "", String? backgroundColor = "ffffff", double? shadowAngle = 120, double? shadowIntensity = 0.5}) → TransformationData

AI Soft Shadow Generator

srUpscale({SrType? type = SrType.p2X, bool? enhanceFace = false, SrModel? model = SrModel.picasso, bool? enhanceQuality = false}) → TransformationData

Super Resolution Module

tBlur({double? sigma = 0.3, double? dpr = 1}) → TransformationData

Basic Transformations

tCompress({int? quality = 80}) → TransformationData

Basic Transformations

tDensity({int? density = 300}) → TransformationData

Basic Transformations

tExtend({int? top = 10, int? left = 10, int? bottom = 10, int? right = 10, String? background = "000000", TBorderType? borderType = TBorderType.constant, double? dpr = 1}) → TransformationData

Basic Transformations

tExtract({int? top = 10, int? left = 10, int? height = 50, int? width = 20, String? boundingBox}) → TransformationData

Basic Transformations

tFlatten({String? background = "000000"}) → TransformationData

Basic Transformations

tFlip() → TransformationData

Basic Transformations

tFlop() → TransformationData

Basic Transformations

tGrey() → TransformationData

Basic Transformations

tLinear({int? a = 1, int? b = 0}) → TransformationData

Basic Transformations

tMedian({int? size = 3}) → TransformationData

Basic Transformations

tMerge({TMode? mode = TMode.overlay, String? image = "", String? transformation = "", String? background = "00000000", int? height = 0, int? width = 0, int? top = 0, int? left = 0, TGravity? gravity = TGravity.center, TBlend? blend = TBlend.over, bool? tile = false, String? listOfBboxes = "", String? listOfPolygons = ""}) → TransformationData

Basic Transformations

tModulate({double? brightness = 1, double? saturation = 1, int? hue = 90}) → TransformationData

Basic Transformations

tNegate() → TransformationData

Basic Transformations

tNormalise() → TransformationData

Basic Transformations

tResize({int? height = 0, int? width = 0, TFit? fit = TFit.cover, String? background = "000000", TPosition? position = TPosition.center, TAlgorithm? algorithm = TAlgorithm.lanczos3, double? dpr = 1}) → TransformationData

Basic Transformations

tRotate({int? angle = 0, String? background = "000000"}) → TransformationData

Basic Transformations

tSharpen({double? sigma = 1.5}) → TransformationData

Basic Transformations

tTint({String? color = "000000"}) → TransformationData

Basic Transformations

tToformat({TFormat? format = TFormat.jpeg, int? quality = 75}) → TransformationData

Basic Transformations

tTrim({int? threshold = 10}) → TransformationData

Basic Transformations

vdDetect() → TransformationData

Classifies wear type and view type of products in the image

vertexaiGeneratebg({String? backgroundPrompt = "YSBmb3Jlc3QgZnVsbCBvZiBvYWsgdHJlZXMsd2l0aCBicmlnaHQgbGlnaHRzLCBzdW4gYW5kIGEgbG90IG9mIG1hZ2ljLCB1bHRyYSByZWFsaXN0aWMsIDhr", String? negativePrompt = "", int? seed = 22, int? guidanceScale = 60}) → TransformationData

Vertex AI based transformations

vertexaiRemovebg() → TransformationData

Vertex AI based transformations

vertexaiUpscale({VertexaiType? type = VertexaiType.x2}) → TransformationData

Vertex AI based transformations

vgGenerate({String? generateVariationPrompt = "", int? noOfVariations = 1, int? seed = 0, bool? autoscale = true}) → TransformationData

AI Variation Generator

wmcDetect({bool? detectText = false}) → TransformationData

Watermark Detection Plugin

wmRemove({bool? removeText = false, bool? removeLogo = false, String? box1 = "0_0_100_100", String? box2 = "0_0_0_0", String? box3 = "0_0_0_0", String? box4 = "0_0_0_0", String? box5 = "0_0_0_0"}) → TransformationData

Watermark Removal Plugin

wmvRemove() → TransformationData

Video Watermark Removal Plugin