Class

org.platanios.tensorflow.data.models

ObjectDetectionModel

Related Doc: package models

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class ObjectDetectionModel extends AnyRef

Convenience access to object detection model input and output placeholders.

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Instance Constructors

  1. new ObjectDetectionModel(graph: Graph)

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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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  6. val detectionBoxes: Output

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    Placeholder for the detected boxes.

    Placeholder for the detected boxes. dataType = FLOAT32, shape = Shape(1, numDetections, 4)

  7. val detectionClasses: Output

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    Placeholder for the detected labels.

    Placeholder for the detected labels. dataType = FLOAT32, shape = Shape(1, numDetections)

  8. val detectionScores: Output

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    Placeholder for the detected scores.

    Placeholder for the detected scores. dataType = FLOAT32, shape = Shape(1, numDetections)

  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. val graph: Graph

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  14. def hashCode(): Int

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  15. val inputImage: Output

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    Placeholder for the input image.

    Placeholder for the input image. dataType = UINT8, shape = Shape(1, -1, -1, 3)

  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. val numDetections: Output

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    Placeholder for the number of detected objects.

    Placeholder for the number of detected objects. FLOAT32, shape = Shape(1)

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

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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