ImageSchema

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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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

6. val columnSchema: StructType

   

   Schema for the image column: Row(String, Int, Int, Int, Int, Array[Byte])

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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11. def getData(row: Row): Array[Byte]

    

    Gets the image data

    Gets the image data

    returns

    The image data

12. def getHeight(row: Row): Int

    

    Gets the height of the image

    Gets the height of the image

    returns

    The height of the image

13. def getMode(row: Row): Int

    

    Gets the OpenCV representation as an int

    Gets the OpenCV representation as an int

    returns

    The OpenCV representation as an int

14. def getNChannels(row: Row): Int

    

    Gets the number of channels in the image

    Gets the number of channels in the image

    returns

    The number of channels in the image

15. def getOrigin(row: Row): String

    

    Gets the origin of the image

    Gets the origin of the image

    returns

    The origin of the image

16. def getWidth(row: Row): Int

    

    Gets the width of the image

    Gets the width of the image

    returns

    The width of the image

17. def hashCode(): Int

    

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18. val imageFields: Array[String]

    

19. val imageSchema: StructType

    

    DataFrame with a single column of images named "image" (nullable)

20. final def isInstanceOf[T0]: Boolean

    

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21. val javaOcvTypes: Map[String, Int]

    

    (Java-specific) OpenCV type mapping supported

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

    

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23. final def notify(): Unit

    

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24. final def notifyAll(): Unit

    

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25. val ocvTypes: Map[String, Int]

    

    (Scala-specific) OpenCV type mapping supported

26. def readImages(path: String, sparkSession: SparkSession, recursive: Boolean, numPartitions: Int, dropImageFailures: Boolean, sampleRatio: Double, seed: Long): DataFrame

    

    Read the directory of images from the local or remote source

    Read the directory of images from the local or remote source

    path

    Path to the image directory

    sparkSession

    Spark Session, if omitted gets or creates the session

    recursive

    Recursive path search flag

    numPartitions

    Number of the DataFrame partitions, if omitted uses defaultParallelism instead

    dropImageFailures

    Drop the files that are not valid images from the result

    sampleRatio

    Fraction of the files loaded

    returns

    DataFrame with a single column "image" of images; see ImageSchema for the details

    Note

    If sample ratio is less than 1, sampling uses a PathFilter that is efficient but potentially non-deterministic.

    ,

    If multiple jobs are run in parallel with different sampleRatio or recursive flag, there may be a race condition where one job overwrites the hadoop configs of another.

27. def readImages(path: String): DataFrame

    

    Read the directory of images from the local or remote source

    Read the directory of images from the local or remote source

    path

    Path to the image directory

    returns

    DataFrame with a single column "image" of images; see ImageSchema for the details

    Note

    If sample ratio is less than 1, sampling uses a PathFilter that is efficient but potentially non-deterministic.

    ,

    If multiple jobs are run in parallel with different sampleRatio or recursive flag, there may be a race condition where one job overwrites the hadoop configs of another.

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

    

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29. def toString(): String

    

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30. val undefinedImageType: String

    

31. final def wait(): Unit

    

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

    

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

    

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