TrackTranslationalImageRegistrationRequest

descriptor

get descriptor(): RequestDescriptor

final var descriptor: RequestDescriptor { get }

An enum that identifies the request and request revision.

regionOfInterest

get regionOfInterest(): NormalizedRect

final var regionOfInterest: NormalizedRect { get set }

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)

final var regionOfInterest: NormalizedRect { get set }

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

final 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.

supportedRevisions

static get supportedRevisions(): Array<TrackTranslationalImageRegistrationRequest_Revision>

static let supportedRevisions: [TrackTranslationalImageRegistrationRequest.Revision]

The collection of currently-supported revisions for `TrackTranslationalImageRegistrationRequest `.

frameAnalysisSpacing

get frameAnalysisSpacing(): _CoreMedia_CMTime

final let frameAnalysisSpacing: CMTime

The reciprocal of maximum rate at which buffers will be processed. The request will not process buffers that fall within the `frameAnalysisSpacing` since the previously performed analysis. The analysis is not done by wall time but by analysis of of the time stamps of the samplebuffers being processed.

minimumLatencyFrameCount

get minimumLatencyFrameCount(): number

final var minimumLatencyFrameCount: Int { get }

The minimum number of frames that the request has to process on before reporting back any observation. This information is provided by the request once initialized with its required paramters. Video-based requests often need a minimum number of frames before they can report back any observation. An example would be that a movement detection requires at least 5 frames to be detected. The `minimumLatencyFrameCount` for that request would report 5 and only after 5 frames have been processed an observation would be returned in the results. This latency is indicative of how responsive a request is in respect to the incoming data.

supportedComputeStageDevices

get supportedComputeStageDevices(): NativeMap<ComputeStage, Array<_CoreML_MLComputeDevice>>

final var supportedComputeStageDevices: [ComputeStage : [MLComputeDevice]] { get }

revision

get revision(): TrackTranslationalImageRegistrationRequest_Revision

final let revision: TrackTranslationalImageRegistrationRequest.Revision

The request's configured revision.

init

static init(revision?: (TrackTranslationalImageRegistrationRequest_Revision) | null, frameAnalysisSpacing?: (_CoreMedia_CMTime) | null): TrackTranslationalImageRegistrationRequest

init(_ revision: TrackTranslationalImageRegistrationRequest.Revision? = nil, frameAnalysisSpacing: CMTime? = nil)