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AVL.TrainOcr_MLP(AvlNet.CharacterSample[], AvlNet.Size, int[], int?, AvlNet.CharacterFeatures, float, float, int, AvlNet.Size?, AvlNet.OcrModel, float)

Trains an OCR multilayer perceptron classifier.

Namespace:AvlNet
Assembly:AVL.NET.dll

Syntax


public static void TrainOcr_MLP(
	AvlNet.CharacterSample[] inCharacterSamples,
	AvlNet.Size inNormalizationSize,
	int[] inHiddenLayerSizes,
	int? inRandomSeed,
	AvlNet.CharacterFeatures inCharacterFeatures,
	float inLearningRate,
	float inMomentum,
	int inIterationCount,
	AvlNet.Size? inCharacterSize,
	out AvlNet.OcrModel outOcrModel,
	out float outTrainingAccuracy
)

Parameters

inCharacterSamples
Type: AvlNet.CharacterSample
Training font created from sample regions
inNormalizationSize
Type: AvlNet.Size
The character size after normalization
inHiddenLayerSizes
Type: System.Int32
Internal structure of neuron layers used in classifier, or null.
inRandomSeed
Type: System.Nullable<System.Int32>
Random seed used by MLP classifier, or null.
inCharacterFeatures
Type: AvlNet.CharacterFeatures
Character features used to distinguish characters from each other
inLearningRate
Type: System.Single
Suppression level of changes during learning process
inMomentum
Type: System.Single
Value of classifier learning momentum
inIterationCount
Type: System.Int32
Learning iteration count
inCharacterSize
Type: System.Nullable<AvlNet.Size>
Size of fixed width font, or null.
outOcrModel
Type: AvlNet.OcrModel
Trained OcrMlpModel used to recognize characters
outTrainingAccuracy
Type: System.Single
The overall training score

See also