ImageReader

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. object OpenCVLoader

   

   This object will load the openCV binaries when the object is referenced for the first time, subsequent references will not re-load the binaries.

   This object will load the openCV binaries when the object is referenced for the first time, subsequent references will not re-load the binaries. In spark, this loads one copy for each running jvm, instead of once per partition. This technique is similar to that used by the cntk_jni jar, but in the case where microsoft cannot edit the jar

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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7. def decode(filename: Option[String], bytes: Array[Byte]): Option[Row]

   

   Convert the image from compressd (jpeg, etc.) into OpenCV representation and store it in Row See ImageSchema for details.

   Convert the image from compressd (jpeg, etc.) into OpenCV representation and store it in Row See ImageSchema for details.

   filename

   arbitrary string

   bytes

   image bytes (for example, jpeg)

   returns

   returns None if decompression fails

8. def decode(filename: String, bytes: Array[Byte]): Option[Row]

   

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. final def ne(arg0: AnyRef): Boolean

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def read(path: String, recursive: Boolean, spark: SparkSession, sampleRatio: Double = 1, inspectZip: Boolean = true, seed: Long = 0L): 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

    recursive

    Recursive search flag

    returns

    DataFrame with a single column of "images", see "columnSchema" for details

19. def readFromBytes(df: DataFrame, pathCol: String, bytesCol: String, imageCol: String = "image"): DataFrame

    

20. def readFromPaths(df: DataFrame, pathCol: String, imageCol: String = "image"): DataFrame

    

21. def readFromStrings(df: DataFrame, bytesCol: String, imageCol: String = "image", dropPrefix: Boolean = false): DataFrame

    

22. def stream(path: String, spark: SparkSession, sampleRatio: Double = 1, inspectZip: Boolean = true, seed: Long = 0L): DataFrame

    

    Read the directory of image files from the local or remote source

    Read the directory of image files from the local or remote source

    path

    Path to the directory

    returns

    DataFrame with a single column of "imageFiles", see "columnSchema" for details

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

    

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24. def toString(): String

    

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25. final def wait(): Unit

    

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

    

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

    

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