struct · iOS 16.0+ · SDK 27.1
struct ImageFeaturePrintImageFeaturePrint image feature extractor.
static initCropAndScaleContext(cropAndScale?: _Vision_VNImageCropAndScaleOption, context?: _CoreImage_CIContext): ImageFeaturePrintinit(cropAndScale: VNImageCropAndScaleOption = .centerCrop, context: CIContext = CIContext())Creates a FeaturePrint feature extractor. - Parameters: - cropAndScale: The scaling and cropping options. - context: The CoreImage context to use for the operation. Defaults to a new default context.
get cropAndScale(): _Vision_VNImageCropAndScaleOptionlet cropAndScale: VNImageCropAndScaleOptionThe crop and scale options.
static get latestRevision(): numberstatic let latestRevision: IntThe latest feature extractor revision.
get debugDescription(): stringvar debugDescription: String { get }A textual representation of this instance, suitable for debugging. Calling this property directly is discouraged. Instead, convert an instance of any type to a string by using the `String(reflecting:)` initializer. This initializer works with any type, and uses the custom `debugDescription` property for types that conform to `CustomDebugStringConvertible`: struct Point: CustomDebugStringConvertible { let x: Int, y: Int var debugDescription: String { return "(\(x), \(y))" } } let p = Point(x: 21, y: 30) let s = String(reflecting: p) print(s) // Prints "(21, 30)" The conversion of `p` to a string in the assignment to `s` uses the `Point` type's `debugDescription` property.
applied(image: _CoreImage_CIImage, eventHandler?: (((arg0: Event) => void)) | null): Promise<_CoreML_MLShapedArray<number>>func applied(to image: CIImage, eventHandler: EventHandler? = nil) async throws -> MLShapedArray<Float>Extracts image features from an image. - Parameters: - image: An image. - eventHandler: An event handler. - Returns: A shaped array containing the extracted features of the image.
static initRevisionCropAndScaleContext(revision: number, cropAndScale?: _Vision_VNImageCropAndScaleOption, context?: _CoreImage_CIContext): ImageFeaturePrintinit(revision: Int, cropAndScale: VNImageCropAndScaleOption = .centerCrop, context: CIContext = CIContext())Creates a FeaturePrint feature extractor. - Parameters: - revision: The revision of feature extractor to use. - cropAndScale: The scaling and cropping options. - context: The CoreImage context to use for the operation. Defaults to a new default context.
get revision(): numbervar revision: Int { get set }The feature extractor revision number. There are two Image Feature Print revisions: 1 and 2. In most cases revision 2 produces better models because it uses a smaller feature vector and better features. In iOS 12 or later, tvOS 12 or later, and macOS 10.14 or later, revision 1 takes images with a size of 299x299 and produces a 2048 feature vector. In iOS 17 or later, tvOS 17 or later, and macOS 14 or later, revision 2 takes images with a size of 360x360 and produces a 768 feature vector.
set revision(value: number)var revision: Int { get set }The feature extractor revision number. There are two Image Feature Print revisions: 1 and 2. In most cases revision 2 produces better models because it uses a smaller feature vector and better features. In iOS 12 or later, tvOS 12 or later, and macOS 10.14 or later, revision 1 takes images with a size of 299x299 and produces a 2048 feature vector. In iOS 17 or later, tvOS 17 or later, and macOS 14 or later, revision 2 takes images with a size of 360x360 and produces a 768 feature vector.
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