ImagenetConfig

Value Members

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 alexnetPreprocessor(): Preprocessing[ImageFeature, ImageFeature]

7. def apply[T](model: String, dataset: String, version: String)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ImageConfigure[T]

8. final def asInstanceOf[T0]: T0

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9. def clone(): AnyRef

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10. def commonPreprocessor(imageResizeSize: Int, imageCropSize: Int, meanR: Float, meanG: Float, meanB: Float, stdR: Float = 1, stdG: Float = 1, stdB: Float = 1): Preprocessing[ImageFeature, ImageFeature]

11. def densenetPreprocessor(): Preprocessing[ImageFeature, ImageFeature]

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

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13. def equals(arg0: Any): Boolean

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14. def finalize(): Unit

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

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16. def hashCode(): Int

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17. val imagenetInceptionV3LabelMap: Map[Int, String]

18. val imagenetLabelMap: Map[Int, String]

19. def inceptionV1Preprocessor(): Preprocessing[ImageFeature, ImageFeature]

20. def inceptionV3Preprocessor(): Preprocessing[ImageFeature, ImageFeature]

21. final def isInstanceOf[T0]: Boolean

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22. val mean: Array[Float]

23. val meanFile: URL

24. def mobilenetPreprocessor(): Preprocessing[ImageFeature, ImageFeature]

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

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26. final def notify(): Unit

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27. final def notifyAll(): Unit

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28. def resnetPreprocessor(): Preprocessing[ImageFeature, ImageFeature]

29. def squeezenetPreprocessor(): Preprocessing[ImageFeature, ImageFeature]

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

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31. def toString(): String

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32. def vggPreprocessor(): Preprocessing[ImageFeature, ImageFeature]

33. final def wait(): Unit

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

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

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