DetectContoursRequest

descriptor

get descriptor(): RequestDescriptor

var descriptor: RequestDescriptor { get }

An enum that identifies the request and request revision.

contrastPivot

get contrastPivot(): (number) | null

var contrastPivot: Float?

The pixel value to use as a pivot for the contrast. Numeric values range from 0.0 to 1.0. You can also specify `nil` to have the framework automatically detect the value according to image intensity. The default value is 0.5, which indicates the pixel center.

contrastPivot

set contrastPivot(value: (number) | null)

var contrastPivot: Float?

The pixel value to use as a pivot for the contrast. Numeric values range from 0.0 to 1.0. You can also specify `nil` to have the framework automatically detect the value according to image intensity. The default value is 0.5, which indicates the pixel center.

regionOfInterest

get regionOfInterest(): NormalizedRect

var regionOfInterest: NormalizedRect

The region of the image in which Vision will perform the request. The rectangle is normalized to the dimensions of the processed image. Its origin is specified relative to the image's lower-left corner. By default, the region of interest will be the full image.

regionOfInterest

set regionOfInterest(value: NormalizedRect)

var regionOfInterest: NormalizedRect

The region of the image in which Vision will perform the request. The rectangle is normalized to the dimensions of the processed image. Its origin is specified relative to the image's lower-left corner. By default, the region of interest will be the full image.

setComputeDevice

setComputeDevice(computeDevice: (_CoreML_MLComputeDevice) | null, computeStage: ComputeStage): void

mutating func setComputeDevice(_ computeDevice: MLComputeDevice?, for computeStage: ComputeStage)

Assigns a compute device for a compute stage. If the parameter `computeDevice` is `nil`, the framework removes any explicit compute device assignment and allows the framework to select the device. Configure any compute device for a given compute stage. When performing a request, the system makes a validity check. Use `supportedComputeStageDevices` to get valid compute devices for a request’s compute stages. - Parameters: - `computeDevice: `The compute device to assign to the compute stage. - `computeStage: `The compute stage.

contrastAdjustment

get contrastAdjustment(): number

var contrastAdjustment: Float

The amount by which to adjust the image contrast. Contour detection works best with high-contrast images. The default value of this property is 2.0, which doubles the image contrast to achieve the most accurate results. This property supports a value range from 0.0 to 3.0.

contrastAdjustment

set contrastAdjustment(value: number)

var contrastAdjustment: Float

The amount by which to adjust the image contrast. Contour detection works best with high-contrast images. The default value of this property is 2.0, which doubles the image contrast to achieve the most accurate results. This property supports a value range from 0.0 to 3.0.

detectsDarkOnLight

get detectsDarkOnLight(): boolean

var detectsDarkOnLight: Bool

A Boolean value that indicates whether the request detects a dark object on a light background to aid in detection. The default value is `true`.

detectsDarkOnLight

set detectsDarkOnLight(value: boolean)

var detectsDarkOnLight: Bool

A Boolean value that indicates whether the request detects a dark object on a light background to aid in detection. The default value is `true`.

supportedRevisions

static get supportedRevisions(): Array<DetectContoursRequest_Revision>

static let supportedRevisions: [DetectContoursRequest.Revision]

maximumImageDimension

get maximumImageDimension(): number

var maximumImageDimension: Int

The maximum image dimension to use for contour detection. Contour detection is computationally intensive. To improve performance, Vision scales the input image down, while maintaining its aspect ratio, such that its maximum dimension is the value of this property. Vision never scales the image up, so specifying the maximum value ensures that the image processes in its original size and not as a downscaled version. The minimum value supported is 64. The default value is 512.

maximumImageDimension

set maximumImageDimension(value: number)

var maximumImageDimension: Int

The maximum image dimension to use for contour detection. Contour detection is computationally intensive. To improve performance, Vision scales the input image down, while maintaining its aspect ratio, such that its maximum dimension is the value of this property. Vision never scales the image up, so specifying the maximum value ensures that the image processes in its original size and not as a downscaled version. The minimum value supported is 64. The default value is 512.

revision

get revision(): DetectContoursRequest_Revision

let revision: DetectContoursRequest.Revision

The request's configured revision.

init

static init(revision?: (DetectContoursRequest_Revision) | null): DetectContoursRequest

init(_ revision: DetectContoursRequest.Revision? = nil)

- Parameters: - revision: The specific algorithm or implementation revision that is to be used to perform the request.