Packages

c

com.intel.analytics.bigdl.dlframes

DLImageTransformer

class DLImageTransformer extends DLTransformerBase[Nothing] with HasInputCol with HasOutputCol

Provides DataFrame-based API for image pre-processing and feature transformation. DLImageTransformer follows the Spark Transformer API pattern and can be used as one stage in Spark ML pipeline.

The input column can be either DLImageSchema.byteSchema or DLImageSchema.floatSchema. If using DLImageReader, the default format is DLImageSchema.byteSchema The output column is always DLImageSchema.floatSchema.

Linear Supertypes
HasOutputCol, HasOutputCol, HasInputCol, HasInputCol, DLTransformerBase[Nothing], Model[Nothing], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DLImageTransformer
  2. HasOutputCol
  3. HasOutputCol
  4. HasInputCol
  5. HasInputCol
  6. DLTransformerBase
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DLImageTransformer(transformer: FeatureTransformer)
  2. new DLImageTransformer(transformer: Transformer[ImageFeature, ImageFeature], uid: String)

    transformer

    Single or a sequence of BigDL FeatureTransformers to be used. E.g. Resize(256, 256) -> CenterCrop(224, 224) -> ChannelNormalize(123, 117, 104, 1, 1, 1) -> MatToTensor()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): DLImageTransformer.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  8. def copy(extra: ParamMap): Nothing
    Definition Classes
    DLTransformerBase → Model → Transformer → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  14. def explainParams(): String
    Definition Classes
    Params
  15. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  17. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  21. final def getInputCol: String
    Definition Classes
    HasInputCol
  22. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  23. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  24. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  25. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  26. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  27. def hasParent: Boolean
    Definition Classes
    Model
  28. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. final val inputCol: Param[String]
    Definition Classes
    HasInputCol
  32. def internalTransform(dataFrame: DataFrame): DataFrame
    Attributes
    protected
    Definition Classes
    DLImageTransformer → DLTransformerBase
  33. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  34. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  35. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  36. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  37. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  38. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  50. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  51. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  52. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  53. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  54. var parent: Estimator[Nothing]
    Definition Classes
    Model
  55. final def set(paramPair: ParamPair[_]): DLImageTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  56. final def set(param: String, value: Any): DLImageTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  57. final def set[T](param: Param[T], value: T): DLImageTransformer.this.type
    Definition Classes
    Params
  58. final def setDefault(paramPairs: ParamPair[_]*): DLImageTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  59. final def setDefault[T](param: Param[T], value: T): DLImageTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  60. def setInputCol(value: String): DLImageTransformer.this.type
  61. def setOutputCol(value: String): DLImageTransformer.this.type
  62. def setParent(parent: Estimator[Nothing]): Nothing
    Definition Classes
    Model
  63. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  64. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  65. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    DLTransformerBase → Transformer
  66. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  67. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  68. def transformSchema(schema: StructType): StructType
    Definition Classes
    DLImageTransformer → PipelineStage
  69. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  70. val transformer: Transformer[ImageFeature, ImageFeature]
  71. val uid: String
    Definition Classes
    DLImageTransformer → Identifiable
  72. def validateInputType(inputType: DataType): Unit
    Attributes
    protected
  73. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  74. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  75. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from HasOutputCol

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from HasInputCol

Inherited from DLTransformerBase[Nothing]

Inherited from Model[Nothing]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped