VLFeat

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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. final def asInstanceOf[T0]: T0

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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 getSIFTs(width: Int, height: Int, step: Int, bin: Int, numScales: Int, scaleStep: Int, image: Array[Float]): Array[Short]

    Gets SIFT Descriptors at Multiple Scales emulating the vl_phow MATLAB routine.

    Gets SIFT Descriptors at Multiple Scales emulating the vl_phow MATLAB routine. Under the hood it uses vl_dsift from the vlfeat library.

    width

    Image Width.

    height

    Image Height.

    step

    Step size at which to sample SIFT descriptors.

    bin

    SIFT Descriptor bin size.

    numScales

    Number of scales to extract at.

    image

    Input image as float array.

    returns

    SIFTs as Shorts.

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

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19. def toString(): String

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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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