Packages

object ImageTransformer extends DefaultParamsReadable[ImageTransformer] with Serializable

Pipelined image processing.

Linear Supertypes
Serializable, Serializable, DefaultParamsReadable[ImageTransformer], MLReadable[ImageTransformer], AnyRef, Any
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Inherited
  1. ImageTransformer
  2. Serializable
  3. Serializable
  4. DefaultParamsReadable
  5. MLReadable
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. def convertToTensor(matrices: Array[Mat]): Array[Array[Array[Double]]]

    Convert channel matrices to tensor in the shape of (C * H * W)

  7. def decodeImage(decodeMode: String)(r: Any): Option[(String, Mat)]

    Convert Spark image representation to OpenCV format.

  8. def encodeImage(path: String, image: Mat): Row

    Convert from OpenCV format to Dataframe Row.

  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def extractChannels(channelOrder: String, autoConvertToColor: Boolean)(image: Mat): Array[Mat]

    Extract channels from image.

  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. def load(path: String): ImageTransformer
    Definition Classes
    ImageTransformer → MLReadable
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def normalizeChannels(means: Option[Array[Double]], stds: Option[Array[Double]], scaleFactor: Option[Double])(channels: Array[Mat]): Array[Mat]

    Normalize each channel.

  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def processImage(stages: Seq[ImageTransformerStage])(image: Mat): Mat

    Apply all OpenCV transformation stages to a single image.

    Apply all OpenCV transformation stages to a single image. Break on OpenCV errors.

  22. def read: MLReader[ImageTransformer]
    Definition Classes
    DefaultParamsReadable → MLReadable
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from DefaultParamsReadable[ImageTransformer]

Inherited from MLReadable[ImageTransformer]

Inherited from AnyRef

Inherited from Any

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