BorderMask

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. def apply(fieldShape: libcog.Shape, filterSize: Int): libcog.ScalarField

   

   Create a mask for blocking out border pixels where convolution with a filter is not valid (since the convolution extends beyond the border of the image).

   Create a mask for blocking out border pixels where convolution with a filter is not valid (since the convolution extends beyond the border of the image).

   Note that the size of the border equals half the filter size rounded down.

   fieldShape

   Shape of the image to be masked.

   filterSize

   Size of filter that implies the valid region of a convolution.

   returns

   Field with 1's in the center, 0's around border.

5. final def asInstanceOf[T0]: T0

   

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6. def borderPixels(fieldShape: libcog.Shape, filterSize: Int): Int

   

   Compute the number of invalid border pixels for an input image if convolved with a filter.

   Compute the number of invalid border pixels for an input image if convolved with a filter.

   fieldShape

   Shape of input image.

   filterSize

   Size of filter to be convolved with input image.

   returns

   Number of border points in the output of the convolution.

7. def clone(): AnyRef

   

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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

    

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18. def toString(): String

    

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19. def validPixels(fieldShape: libcog.Shape, filterSize: Int): Int

    

    Compute the number of valid pixels for an input image if convolved with a filter.

    Compute the number of valid pixels for an input image if convolved with a filter.

    fieldShape

    Shape of input image.

    filterSize

    Size of filter to be convolved with input image.

    returns

    Number of valid points in the output of the convolution.

20. final def wait(): Unit

    

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

    

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

    

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