Fan2D106FaceAlignmentModel

class Fan2D106FaceAlignmentModel(internalModel: OnnxInferenceModel, modelKindDescription: String?) : FaceAlignmentModelBase<Bitmap> , CameraXCompatibleModel, InferenceModel

The light-weight API for solving Face Alignment task.

Parameters

internalModel

model used to make predictions

Constructors

Fan2D106FaceAlignmentModel
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fun Fan2D106FaceAlignmentModel(internalModel: OnnxInferenceModel, modelKindDescription: String? = null)

Functions

close
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open override fun close()
convert
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open override fun convert(output: OrtSession.Result): List<Landmark>

Converts raw model output to the result.

copy
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open override fun copy(copiedModelName: String?, saveOptimizerState: Boolean, copyWeights: Boolean): InferenceModel
detectLandmarks
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fun detectLandmarks(image: Bitmap): List<Landmark>

Detects Landmark objects on the given image.

initializeWith
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open override fun initializeWith(vararg executionProviders: ExecutionProvider)

Initialize the model with the specified executions providers.

predict
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open override fun predict(inputData: FloatArray): Int
open fun predict(input: Bitmap): List<Landmark>

Makes prediction on the given input.

predictSoftly
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open override fun predictSoftly(inputData: FloatArray, predictionTensorName: String): FloatArray
reshape
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open override fun reshape(vararg dims: Long)
summary
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open override fun summary(): ModelSummary

Properties

inputDimensions
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open override val inputDimensions: LongArray
internalModel
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open override val internalModel: OnnxInferenceModel
modelKindDescription
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open override val modelKindDescription: String?

High-level description of the model. Used for model summary printing. For the model hub models it equals to the string representation of the OnnxModelType

preprocessing
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open override val preprocessing: Operation<Bitmap, Pair<FloatArray, TensorShape>>

Preprocessing operation specific to this model.

targetRotation
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open override var targetRotation: Int = 0

Target image rotation.