class IOHandlers[T <: HasIOMetadata, IO <: IOHandler[T]] extends AnyRef

An object representing a collection of IO handlers providing load/save capabilities for a given object type. If there are multiple implementations for the given type (e.g., multiple image preprocessor implementations, multiple feature extractor implementations), they are distinguished (and uniquely identified) by their IO Identifiers (see HasIOIdentifier).

For every supported IO Identifier, a corresponding IOHandler must be registered using the register() method. The identifiers/handlers that come built into scalismo are automatically registered and available, but manual registration is required for user-defined handlers.

T

the type of objects that can be loaded/saved

IO

the type of the corresponding IO handlers

Linear Supertypes
AnyRef, Any
Known Subclasses
FeatureExtractorIOHandlers, ImagePreprocessorIOHandlers
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Instance Constructors

  1. new IOHandlers()

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  5. def clone(): AnyRef
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  8. def finalize(): Unit
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  9. def find(identifier: String): Try[IO]

    Find the handler corresponding to the given IO identifier.

    Find the handler corresponding to the given IO identifier.

    identifier

    an IO identifier.

    returns

    the corresponding IO handler, or a Failure if no handler was registered for the identifier.

  10. final def getClass(): Class[_ <: AnyRef]
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  11. def hashCode(): Int
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  12. final def isInstanceOf[T0]: Boolean
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  13. def load(h5File: HDF5File, h5Group: Group): Try[T]

    Convenience method to load an object from an HDF5 group.

    Convenience method to load an object from an HDF5 group. This method loads the IO metadata from the file, then uses the list of registered handlers to automatically find the corresponding IO handler, and finally uses that handler to load the object.

    h5File

    the HDF5 file containing the group.

    h5Group

    the HDF5 group within the file to load the object from.

    returns

    the object corresponding to the information in the HDF5 group.

  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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  16. final def notifyAll(): Unit
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  17. def register(handler: IO): Unit

    Register an IO handler to make it available for loading and saving object instances.

    Register an IO handler to make it available for loading and saving object instances.

    handler

    the IO Handler to register.

  18. def save(t: T, h5File: HDF5File, h5Group: Group): Try[Unit]

    Convenience method to store an object to an HDF5 group.

    Convenience method to store an object to an HDF5 group. This method uses the list of registered handlers to automatically find the correct IO handler, then saves the object's metadata and uses the IO handler to save the object.

    t

    the object to save.

    h5File

    the HDF5 file containing the group.

    h5Group

    the HDF5 group to save the object to.

    returns

    Success or Failure

  19. final def synchronized[T0](arg0: => T0): T0
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  21. final def wait(): Unit
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