object C5_Fitting extends App
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
args: Array[String]
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- @deprecatedOverriding( "args should not be overridden" , "2.11.0" )
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- implicit val ec: ExecutionContextExecutor
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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val
executionStart: Long
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- @deprecatedOverriding( ... , "2.11.0" )
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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- val illumination: (DenseVector[Double], DenseVector[Double], DenseVector[Double])
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final
def
isInstanceOf[T0]: Boolean
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- val iterations: Int
- val linearTransferModel: LinearTransferModel
- val loggerPrt: ChainStateLogger[RenderParameter]
- val loggerStd: ChainStateLogger[RenderParameter]
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def
main(args: Array[String]): Unit
- Definition Classes
- App
- Annotations
- @deprecatedOverriding( "main should not be overridden" , "2.11.0" )
- val momo: MoMoBasic
- val momoDeluminated: MoMoBasic
- val momoRenderer: MoMoRenderer
- val momoRendererPrt: ParametricPrtMoMoRenderer[LambertParameters, Unit]
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- val parameterModel: CustomizedParameterModel[LambertParameters, Unit]
- implicit val rnd: Random
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- val targetImage: PixelImage[RGBA]
- val targetInstance: MoMoInstance
- val targetLandmarks: IndexedSeq[TLMSLandmark2D]
- val targetRenderParameter: RenderParameter
- val technique: ProfiledTechnique[LambertParameters, Unit]
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def
toString(): String
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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Deprecated Value Members
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def
delayedInit(body: ⇒ Unit): Unit
- Definition Classes
- App → DelayedInit
- Annotations
- @deprecated
- Deprecated
(Since version 2.11.0) the delayedInit mechanism will disappear
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def
finalize(): Unit
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- @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
- Deprecated
(Since version ) see corresponding Javadoc for more information.