object PRTFit
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- def fitScriptWithOptions(targetFn: String, lmFn: String, outputDir: String, modelRenderer: ParametricImageRenderer[RGBA] with ParametricModel, landmarksRenderer: ParametricLandmarksRenderer, transferModelRenderer: Option[ParametricPrtMoMoRenderer[_, _]], iterations: Int, subsample: Int, init: RenderParameter, withSHLOptimizer: Boolean, withExpressions: Boolean = true, withPoseInitialization: Boolean = true, fixedLM: Boolean = true, withFocalLength: Boolean = false, gammaCorrect: Boolean = false, nShpPC: Int = 7, nTexPC: Int = 7, nExpPC: Int = 5)(implicit rnd: Random): Option[RenderParameter]
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- def lightProposalWithOptionalOptmizer(modelRenderer: ParametricModel, target: PixelImage[RGBA], withSHLOptimizer: Boolean, estimateAtMask: Option[MeshSurfaceProperty[Double]], amountOfPoints: Int)(implicit rnd: Random): ProposalGenerator[RenderParameter] with TransitionProbability[RenderParameter]
- def lightProposalWithOptionalShadowOptmizer(modelRenderer: ParametricPrtMoMoRenderer[_, _], target: PixelImage[RGBA], withSHLOptimizer: Boolean, estimateAtMask: Option[MeshSurfaceProperty[Double]], amountOfPoints: Int)(implicit rnd: Random): ProposalGenerator[RenderParameter] with TransitionProbability[RenderParameter]
- def main(args: Array[String]): Unit
- def makeLightSet(f: Double)(implicit rnd: Random): ProposalGeneratorWithTransition[SphericalHarmonicsLight]
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- def rerouteOut(dir: File): File
- def scaleImageWithLandmarks(img: PixelImage[RGBA], lms: IndexedSeq[TLMSLandmark2D], factor: Double): (PixelImage[RGBA], IndexedSeq[TLMSLandmark2D])
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