com.intel.analytics.bigdl.transform.vision.image

ImageFrame

object ImageFrame

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  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. def array(data: Array[ImageFeature]): LocalImageFrame

    create LocalImageFrame

    create LocalImageFrame

    data

    array of ImageFeature

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. val logger: Logger

  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. def rdd(data: RDD[ImageFeature]): DistributedImageFrame

    create DistributedImageFrame

    create DistributedImageFrame

    data

    rdd of ImageFeature

  20. def read(path: String, sc: SparkContext = null, minPartitions: Int = 1): ImageFrame

    Read images as Image Frame if sc is defined, Read image as DistributedImageFrame from local file system or HDFS if sc is null, Read image as LocalImageFrame from local file system

    Read images as Image Frame if sc is defined, Read image as DistributedImageFrame from local file system or HDFS if sc is null, Read image as LocalImageFrame from local file system

    path

    path to read images if sc is defined, path can be local or HDFS. Wildcard character are supported. if sc is null, path is local directory/image file/image file with wildcard character

    sc

    SparkContext

    minPartitions

    A suggestion value of the minimal splitting number for input data.

    returns

    ImageFrame

  21. def readParquet(path: String, sqlContext: SQLContext): DistributedImageFrame

    Read parquet file as DistributedImageFrame

    Read parquet file as DistributedImageFrame

    path

    Parquet file path

    returns

    DistributedImageFrame

  22. final def synchronized[T0](arg0: ⇒ T0): T0

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  23. def toString(): String

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  24. final def wait(): Unit

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  25. final def wait(arg0: Long, arg1: Int): Unit

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  26. final def wait(arg0: Long): Unit

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  27. def writeParquet(path: String, output: String, sqlContext: SQLContext, partitionNum: Int = 1): Unit

    Write images as parquet file

    Write images as parquet file

    path

    path to read images. Local or HDFS. Wildcard character are supported.

    output

    Parquet file path

    partitionNum

    partition number

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