COCODataset

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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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5. def clone(): AnyRef

   

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

   

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8. def finalize(): Unit

   

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11. final def isInstanceOf[T0]: Boolean

    

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12. def load(jsonPath: String, imageRoot: String = "."): COCODataset

    

    Load COCO dataset from local file

    Load COCO dataset from local file

    jsonPath

    the JSON metadata file path

    imageRoot

    the root path of the image files

    returns

    the loaded COCO dataset

13. def loadFromSeqFile(url: String, sc: SparkContext, partitionNum: Option[Int] = None): DataSet[ImageFeature]

    

    Load COCO dataset from Hadoop sequence files

    Load COCO dataset from Hadoop sequence files

    url

    sequence files folder path on HDFS/Local

    sc

    spark context

    partitionNum

    partition number, default: Engine.nodeNumber() * Engine.coreNumber()

    returns

    ImageFeatures for the dataset. Key in ImageFeature Value Type ImageFeature.bytes decoded image data Array[Byte] ImageFeature.uri Image file name String ImageFeature.label Label & masks RoiLabel RoiImageInfo.ISCROWD isCrowd Tensor[Float]

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

    

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15. final def notify(): Unit

    

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19. final def wait(): Unit

    

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

    

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

    

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