AI-generated Key Takeaways
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ImageLabeleris a class used for processing and labeling images within the ML Kit. -
It offers both synchronous and asynchronous processing methods:
results(in:)andprocess(_:completion:)respectively. -
Initialization is done through the
imageLabeler(options:)class method, usingMLKCommonImageLabelerOptionsfor configuration. -
Results are provided as an array of
MLKImageLabelobjects, representing identified labels within the image. -
Direct instantiation using
initis unavailable; factory methods are preferred.
ImageLabeler
class ImageLabeler : NSObjectAn image labeler that processes and labels images.
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Returns an image labeler with the given options.
Declaration
Swift
class func imageLabeler(options: MLKCommonImageLabelerOptions) -> SelfParameters
optionsOptions for configuring the image labeler.
Return Value
An image labeler configured with the given options.
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Unavailable. Use the class methods.
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Processes the given image for labeling.
Declaration
Swift
func process(_ image: MLKitCompatibleImage, completion: @escaping ImageLabelingCallback)Parameters
imageThe image to process.
completionHandler to call back on the main queue with labels or error.
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Returns label results in the given image or
nilif there was an error. The image labeling is performed synchronously on the calling thread.It is advised to call this method off the main thread to avoid blocking the UI. As a result, an
NSExceptionis raised if this method is called on the main thread.Declaration
Swift
func results(in image: MLKitCompatibleImage) throws -> [MLKImageLabel]Parameters
imageThe image to get results in.
errorAn optional error parameter populated when there is an error getting results.
Return Value
Array of label results in the given image or
nilif there was an error.