You are here: Start » FIL.NET » Invoke.TrainOcr_SVM
Trains an OCR support vector machines classifier.
Namespace: | Fil |
---|---|
Assembly: | FilNet.dll |
Syntax
C++
C#
public static void TrainOcr_SVM ( List<Fil.CharacterSample> inCharacterSamples, Fil.Size inNormalizationSize, Optional<float> inNu, Optional<float> inKernelGamma, float inRegularizationConstant, float inStopEpsilon, bool inUseShrinkingHeuristics, Optional<Fil.Size> inCharacterSize, Optional<int> inRandomSeed, Fil.CharacterFeatures inCharacterFeatures, Fil.OcrModel outOcrModel, out float outTrainingAccuracy, Diagnostic<List<Fil.Image>> diagNormalizedCharacters )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
![]() | inCharacterSamples | System.Collections.Generic.List<Fil.CharacterSample> | Training font created from sample regions. | ||
![]() | inNormalizationSize | Fil.Size | (Width: 16, Height: 16) | The character size after normalization. Default value: (Width: 16, Height: 16). | |
![]() | inNu | Ftl.Optional<float> | <0.0f, 1.0f> | Trade-off between training accuracy and number of supported vectors. Default value: ftl::NIL. | |
![]() | inKernelGamma | Ftl.Optional<float> | Gamma parameter for RBF kernel. Default value: ftl::NIL. | ||
![]() | inRegularizationConstant | float | <0.0f, INF> | 1.0f | Preventing overfitting. Default value: 1.0f. |
![]() | inStopEpsilon | float | 0.001f | Epsilon for stopping criterion. Default value: 0.001f. | |
![]() | inUseShrinkingHeuristics | bool | True | Heuristics may speed up computations. Default value: True. | |
![]() | inCharacterSize | Ftl.Optional<Fil.Size> | Size of fixed width font. Default value: ftl::NIL. | ||
![]() | inRandomSeed | Ftl.Optional<int> | <0, +INF> | Random seed used to train classifier. Default value: ftl::NIL. | |
![]() | inCharacterFeatures | Fil.CharacterFeatures | (Pixels: True) | Character features used to identify characters. Default value: (Pixels: True). | |
![]() | outOcrModel | Fil.OcrModel | Trained OcrSvmModel used to recognize characters. | ||
![]() | outTrainingAccuracy | float | The overall training score. | ||
![]() | diagNormalizedCharacters | Fil.Diagnostic<System.Collections.Generic.List<Fil.Image>> | Images of normalized characters used to train classifier. |