Package apple.vision

Class VNCoreMLModel

  • All Implemented Interfaces:
    NSObject

    public class VNCoreMLModel
    extends NSObject
    The VNCoreMLModel uses an CoreML based model and prepares it for use with VNCoreMLRequests.
    • Constructor Detail

      • VNCoreMLModel

        protected VNCoreMLModel​(org.moe.natj.general.Pointer peer)
    • Method Detail

      • accessInstanceVariablesDirectly

        public static boolean accessInstanceVariablesDirectly()
      • allocWithZone

        public static java.lang.Object allocWithZone​(org.moe.natj.general.ptr.VoidPtr zone)
      • automaticallyNotifiesObserversForKey

        public static boolean automaticallyNotifiesObserversForKey​(java.lang.String key)
      • cancelPreviousPerformRequestsWithTarget

        public static void cancelPreviousPerformRequestsWithTarget​(java.lang.Object aTarget)
      • cancelPreviousPerformRequestsWithTargetSelectorObject

        public static void cancelPreviousPerformRequestsWithTargetSelectorObject​(java.lang.Object aTarget,
                                                                                 org.moe.natj.objc.SEL aSelector,
                                                                                 java.lang.Object anArgument)
      • classFallbacksForKeyedArchiver

        public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()
      • classForKeyedUnarchiver

        public static org.moe.natj.objc.Class classForKeyedUnarchiver()
      • debugDescription_static

        public static java.lang.String debugDescription_static()
      • description_static

        public static java.lang.String description_static()
      • hash_static

        public static long hash_static()
      • instanceMethodSignatureForSelector

        public static NSMethodSignature instanceMethodSignatureForSelector​(org.moe.natj.objc.SEL aSelector)
      • instancesRespondToSelector

        public static boolean instancesRespondToSelector​(org.moe.natj.objc.SEL aSelector)
      • isSubclassOfClass

        public static boolean isSubclassOfClass​(org.moe.natj.objc.Class aClass)
      • keyPathsForValuesAffectingValueForKey

        public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey​(java.lang.String key)
      • modelForMLModelError

        public static VNCoreMLModel modelForMLModelError​(MLModel model,
                                                         org.moe.natj.general.ptr.Ptr<NSError> error)
        Create a model container to be used with VNCoreMLRequest based on a Core ML model. This can fail if the model is not supported. Examples for a model that is not supported is a model that does not take an image as any of its inputs.
        Parameters:
        model - The MLModel from CoreML to be used.
        error - Returns the error code and description, if the model is not supported.
      • new_objc

        public static java.lang.Object new_objc()
      • resolveClassMethod

        public static boolean resolveClassMethod​(org.moe.natj.objc.SEL sel)
      • resolveInstanceMethod

        public static boolean resolveInstanceMethod​(org.moe.natj.objc.SEL sel)
      • setVersion_static

        public static void setVersion_static​(long aVersion)
      • superclass_static

        public static org.moe.natj.objc.Class superclass_static()
      • version_static

        public static long version_static()
      • featureProvider

        public MLFeatureProvider featureProvider()
        An optional object conforming to the MLFeatureProvider protocol that is used by the model during the predict call to support inputs that are not supplied by Vision. Vision will provide the image for the inputImageFeatureName from the the VNRequestHandler. A feature provider is necessary for models that have more than one input and require those parameters to be set. Models that only have one image input will not use the feature provider as that input will be set by Vision.
      • inputImageFeatureName

        public java.lang.String inputImageFeatureName()
        The name of the MLFeatureValue that Vision will set from the VNRequestHandler. Vision will use the first input it finds by default but it can be set to another featureName instead.
      • setFeatureProvider

        public void setFeatureProvider​(MLFeatureProvider value)
        An optional object conforming to the MLFeatureProvider protocol that is used by the model during the predict call to support inputs that are not supplied by Vision. Vision will provide the image for the inputImageFeatureName from the the VNRequestHandler. A feature provider is necessary for models that have more than one input and require those parameters to be set. Models that only have one image input will not use the feature provider as that input will be set by Vision.
      • setInputImageFeatureName

        public void setInputImageFeatureName​(java.lang.String value)
        The name of the MLFeatureValue that Vision will set from the VNRequestHandler. Vision will use the first input it finds by default but it can be set to another featureName instead.