Transformation class

Constructors

Transformation()

Properties

hashCode → int
The hash code for this object.
no setterinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited

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

artifact() → TransformationData
Artifact Removal Plugin
backgroundgenerator({String? backgroundprompt = "YSBmb3Jlc3QgZnVsbCBvZiBvYWsgdHJlZXMsd2l0aCBicmlnaHQgbGlnaHRzLCBzdW4gYW5kIGEgbG90IG9mIG1hZ2ljLCB1bHRyYSByZWFsaXN0aWMsIDhr", Focus? focus = Focus.product, String? negativeprompt = "", int? seed = 123}) → TransformationData
AI Background Generator
blur({double? sigma = 0.3, double? dpr = 1}) → TransformationData
Basic Transformations
checkobjectsize({int? objectthresholdpercent = 50}) → TransformationData
Calculates the percentage of the main object area relative to image dimensions.
checkproductvisibility() → TransformationData
Classifies whether the product in the image is completely visible or not
compress({int? quality = 80}) → TransformationData
Basic Transformations
density({int? density = 300}) → TransformationData
Basic Transformations
detectbackgroundtype() → TransformationData
Classifies the background of a product as plain, clean or busy
detectlabels({int? maximumlabels = 5, int? minpimumconfidence = 55}) → TransformationData
Detect objects and text in images
erasebg({Foregroundtype? foregroundptype = Foregroundtype.general, bool? addshadow = false, bool? refinpe = true}) → TransformationData
EraseBG Background Removal Module
extend({int? top = 10, int? left = 10, int? bottom = 10, int? right = 10, String? background = "000000", Bordertype? borderptype = Bordertype.constant, double? dpr = 1}) → TransformationData
Basic Transformations
extract({int? top = 10, int? left = 10, int? height = 50, int? width = 20, String? boundinpgbox}) → TransformationData
Basic Transformations
flatten({String? background = "000000"}) → TransformationData
Basic Transformations
flip() → TransformationData
Basic Transformations
flop() → TransformationData
Basic Transformations
googlevisionplugin({int? maximumlabels = 5}) → TransformationData
Detect content and text in images
grey() → TransformationData
Basic Transformations
imagecentering({int? distancepercentage = 10}) → TransformationData
Image Centering Module
intelligentcrop({int? requiredwidth = 0, int? requiredheight = 0, int? paddinpgpercentage = 0, bool? mainptainporiginpalaspect = false, String? aspectratio = "", Gravitytowards? gravitytowards = Gravitytowards.none, Preferreddirection? preferreddirection = Preferreddirection.center, Objecttype? objectptype = Objecttype.person}) → TransformationData
Intelligent Crop Plugin
linear({int? a = 1, int? b = 0}) → TransformationData
Basic Transformations
median({int? size = 3}) → TransformationData
Basic Transformations
merge({Mode? mode = Mode.overlay, String? image = "", String? transformation = "", String? background = "00000000", int? height = 0, int? width = 0, int? top = 0, int? left = 0, Gravity? gravity = Gravity.center, Blend? blend = Blend.over, bool? tile = false, String? listofbboxes = "", String? listofpolygons = ""}) → TransformationData
Basic Transformations
moderation({int? minpimumconfidence = 55}) → TransformationData
Detect objects and text in images
modulate({double? brightness = 1, double? saturation = 1, int? hue = 90}) → TransformationData
Basic Transformations
negate() → TransformationData
Basic Transformations
normalise() → TransformationData
Basic Transformations
nsfwdetection({double? minpimumconfidence = 0.5}) → TransformationData
Detect NSFW content in images
numberplatedetection() → TransformationData
Number Plate Detection Plugin
objectcounter() → TransformationData
Classifies whether objects in the image are single or multiple
objectdetection() → TransformationData
Detect bounding boxes of objects in the image
pdfwatermarkremoval() → TransformationData
PDF Watermark Removal Plugin
producttagging() → TransformationData
AI Product Tagging
removebg() → TransformationData
Remove background from any image
resize({int? height = 0, int? width = 0, Fit? fit = Fit.cover, String? background = "000000", Position? position = Position.center, Algorithm? algorithm = Algorithm.lanczos3, double? dpr = 1}) → TransformationData
Basic Transformations
rotate({int? angle = 0, String? background = "000000"}) → TransformationData
Basic Transformations
sharpen({double? sigma = 1.5}) → TransformationData
Basic Transformations
softshadowgenerator({String? backgroundimage = "", String? backgroundcolor = "ffffff", double? shadowangle = 120, double? shadowintensity = 0.5}) → TransformationData
AI Soft Shadow Generator
superresolution({PType? ptype = PType.p2x, bool? enhanceface = false, Model? model = Model.picasso, bool? enhancequality = false}) → TransformationData
Super Resolution Module
textdetectionandrecognition({bool? detectonly = false}) → TransformationData
OCR Module
tint({String? color = "000000"}) → TransformationData
Basic Transformations
toformat({Format? format = Format.jpeg, int? quality = 75}) → TransformationData
Basic Transformations
trim({int? threshold = 10}) → TransformationData
Basic Transformations
variationgenerator({String? generatevariationprompt = "", int? noofvariations = 1, int? seed = 0, bool? autoscale = true}) → TransformationData
AI Variation Generator
videowatermarkremoval() → TransformationData
Video Watermark Removal Plugin
viewdetection() → TransformationData
Classifies wear type and view type of products in the image
watermarkdetection({bool? detecttext = false}) → TransformationData
Watermark Detection Plugin
watermarkremoval({bool? removetext = 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