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faces.paper.fit

SyntheticDataFitting

object SyntheticDataFitting

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Type Members

  1. case class EvaluatedFit (rmsIlluminationCoefficients: Double, rmsIlluminationSphere: Double, rmsAlbedo: Double, rmsImageDifference: Double, rmsShapeDifference: Double) extends Product with Serializable
  2. case class FitData (parameter: RenderParameter, renderedImage: PixelImage[RGBA], albedoImage: PixelImage[RGBA], illuminationImage: PixelImage[RGBA], mesh: TriangleMesh3D) extends Product with Serializable

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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    protected[java.lang]
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    @throws( ... )
  6. def convertToLinearRGBImage(image: PixelImage[RGBA]): PixelImage[RGBA]
  7. def convertToSRGBImage(image: PixelImage[RGBA]): PixelImage[RGBA]
  8. def defaultExperiments()(implicit ex: ExecutionContext): Unit
  9. final def eq(arg0: AnyRef): Boolean
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  10. def equals(arg0: Any): Boolean
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  11. def evaluateFit(fitData: FitData, targetData: FitData): EvaluatedFit
  12. def finalize(): Unit
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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
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  14. def hashCode(): Int
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  15. final def isInstanceOf[T0]: Boolean
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  16. val landmarkIds: IndexedSeq[String]
  17. def main(args: Array[String]): Unit
  18. val momoFullPRTShadowRenderer: MoMoRenderer
  19. val momoNoShadow: MoMoExpress
  20. val momoNoShadowRenderer: MoMoRenderer
  21. val momoShadow: MoMoExpress
  22. val momoShadowRenderer: ParametricPrtMoMoRenderer[LambertParameters, Unit]
  23. final def ne(arg0: AnyRef): Boolean
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  24. val noShadowModelURI: URI
  25. final def notify(): Unit
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  26. final def notifyAll(): Unit
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  27. def parseArgs(args: List[String], options: Map[Symbol, Any] = Map.empty): Map[Symbol, Any]
    Annotations
    @tailrec()
  28. def printEvaluationCSV(evaluatedFits: Seq[(String, EvaluatedFit)], sep: String = ","): String
  29. def renderIlluminationSphere(parameter: RenderParameter): PixelImage[RGBA]
  30. def rmsImageDifference(imgA: PixelImage[RGBA], imgB: PixelImage[RGBA]): Double
  31. def runExperiment(numberOfFits: Int, numberOfSamples: Int, ageYears: Int, randomIlluminationSelection: Boolean, withExpression: Boolean, outputDirectory: String)(implicit ec: ExecutionContext): Future[(Path, Path)]
  32. val shadowModelURI: URI
  33. final def synchronized[T0](arg0: ⇒ T0): T0
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  34. def toString(): String
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  35. final def wait(): Unit
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  36. final def wait(arg0: Long, arg1: Int): Unit
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  37. final def wait(arg0: Long): Unit
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