FLImagingCLR::AI Namespace Reference

Classes
class	CAIModelFeature_LMI_VMI
	Base class of AI classes Base of AI classes, has common getter/setter. More...
class	CAIModelFeatureBase
	Base class of AI classes Base of AI classes, has common getter/setter. More...
class	CAIModelFeatureBaseAbstract
	Base abstract class of AI classes Base of AI abtract classes. More...
class	CAlgorithmAIBase
	Processing unit AI class required by algorithm. More...
class	CAnomalyDetectionDL
	CAnomalyDetectionDL classes. More...
class	CAugmentationPresetDL
	Augmentation preset class Used in ClassifierDL. 증강 파라미터 사전 설정 클래스 증강 파라미터, 이름, 클래스 번호를 가지고 있는 클래스 입니다. ClassifierDL에서 사용됩니다. More...
class	CAugmentationSpecDL
	Augmentation parameter spec class By transforming the images, it increases the diversity of training images, preventing overfitting and allowing the model to learn generalized features. When all augmentation options are enabled, the sequence of image augmentation processing is as follows: More...
class	CAutoLabelerDL
	CAutoLabelerDL classes. More...
class	CAutoSaveSpecDL
	The auto save parameters class. More...
class	CCharacterBasedOCRDL
	CCharacterBasedOCRDL classes. More...
class	CClassifierDL
	CClassifierDL classes. More...
class	CCocoLabelParserDL
	Class that receives the required label format from COCO Data's json file and converts it into a figure. More...
class	CDenoisingDiffusionDL
	CDenoisingDiffusionDL classes. More...
class	CDenoisingDiffusionInpaintingDL
	CDenoisingDiffusionInpaintingDL classes. More...
class	CFasterCharacterBasedOCRDL
	CFasterCharacterBasedOCRDL classes. More...
class	CGenerativeAdversarialNetworkDL
	CGenerativeAdversarialNetworkDL classes. More...
class	CGenerativeAdversarialNetworkInpaintingDL
	CGenerativeAdversarialNetworkInpaintingDL classes. More...
class	CInstanceSegmentation3DDL
	CInstanceSegmentation3DDL classes. More...
class	CInstanceSegmentationDL
	CInstanceSegmentationDL classes. More...
class	CLabelRemoverDL
	A class that removes labels with specific names from a dataset. More...
class	CLabelRenamerDL
	Class that replace labels with specific names in the dataset with names set by user. More...
class	CMeasurementDL
	CMeasurementDL classes. More...
class	CMeasurementInstanceDL
	CMeasurementInstanceDL classes. More...
class	CObjectAugmentationPresetDL
	Augmentation preset class Used in ClassifierDL. More...
class	CObjectAugmentationSpecDL
	Object Augmentation Object parameter spec class By transforming the images, it increases the diversity of training images, preventing overfitting and allowing the model to learn generalized features. When all Object Augmentation options are Enabled, the sequence of image Object Augmentation processing is as follows: More...
class	CObjectDetectionDL
	CObjectDetectionDL classes. More...
class	COptimizerSpecAdaBeliefGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecAdaGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecAdamGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecAdamWGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecBaseDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecLionGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecMomentumGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecMuonGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecRMSPropGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COptimizerSpecStochasticGradientDescentDL
	Optimizer spec classes Optimizer spec classes, has common getter/setter. More...
class	COrientedObjectDetectionDL
	COrientedObjectDetectionDL classes. More...
class	CPix2PixDL
	CPix2PixDL classes. More...
class	CRandomTextImageGeneratorDL
	Class that randomly generates strings from an original image. More...
class	CReportDescriptorForSegmentationRegionExtractorDL
	ReportDescriptorForSegmentationRegionExtractorDL class. More...
class	CSemanticSegmentationDL
	CSemanticSegmentationDL classes. More...
class	CStringBasedOCRDL
	CStringBasedOCRDL classes. More...
class	CSuperResolutionDL
	CSuperResolutionDL classes. More...
class	CUnnamedLabelRemoverDL
	Validation Image Extractor class. More...
class	CValidationImageExtractorDL
	Validation Image Extractor class. More...

Enumerations
enum class	EInputSizeMode { Optimal = 0 , UserDefined }
enum class	EMiniBatchSizeMode { Auto = 0 , UserDefinedSize , UserDefinedIteration }
enum class	EOptimizerType {   GradientDescent = 0 , StochasticGradientDescent , AdaGradientDescent , MomentumGradientDescent ,   RMSPropGradientDescent , AdamGradientDescent , AdaBeliefGradientDescent , AdamWGradientDescent ,   LionGradientDescent , MuonGradientDescent }
enum class	EIoU {   IoU = 0 , GIoU , MSE , DIoU ,   CIoU }
enum class	ENonMaximumSuppressionType { None = 0 , _Greedy , DIoU , Corners }
enum class	ETilingMode {   NoTiling_NoFit = 0 , NoTiling_Fit , SingleAxisTiling_ProportionalFit , BothAxesTiling_NoFit ,   NoTiling_ProportionalFit }
enum class	EBlankColorMethod { ZeroPadding = 0 , InpaintingFMM }
enum class	EInferenceROIMode { Region = 0 , Crop }

Detailed Description

AI namespace

Enumeration Type Documentation

EBlankColorMethod

enum class FLImagingCLR::AI::EBlankColorMethod

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EBlankColorMethod enum

Enumerator
ZeroPadding	Zero-Padding
InpaintingFMM	Inpainting FMM Method

EInferenceROIMode

enum class FLImagingCLR::AI::EInferenceROIMode

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EBlankColorMethod enum

Enumerator
Region	Copy and process the specified ROI area
Crop	Crop and process the specified ROI area

EInputSizeMode

enum class FLImagingCLR::AI::EInputSizeMode

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input size mode enumeration

Enumerator
Optimal	Optimal input size for a set model
UserDefined	User-defined size

EIoU

enum class FLImagingCLR::AI::EIoU

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IoU(Intersection over Union) type enumeration

Enumerator
IoU	Intersection over Union
GIoU	Generalized IoU
MSE	MSE IoU
DIoU	Distance IoU
CIoU	Complete IoU, considering aspect ration in DIoU

EMiniBatchSizeMode

enum class FLImagingCLR::AI::EMiniBatchSizeMode

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mini batch size mode enumeration

Enumerator
Auto	Optimal mini batch size for available memory
UserDefinedSize	User-defined size
UserDefinedIteration	User-defined iteration

ENonMaximumSuppressionType

enum class FLImagingCLR::AI::ENonMaximumSuppressionType

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NMS algorithm type enumeration

Enumerator
None	None
_Greedy	Greedy algorithm
DIoU	DIoU algorithm
Corners	Corners algorithm

EOptimizerType

enum class FLImagingCLR::AI::EOptimizerType

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Optimizer Type

Enumerator
GradientDescent	Gradient Descent
StochasticGradientDescent	Stochastic Gradient Descent
AdaGradientDescent	Ada
MomentumGradientDescent	Momentum
RMSPropGradientDescent	RMSProp
AdamGradientDescent	Adam
AdaBeliefGradientDescent	AdaBelief
AdamWGradientDescent	AdamW
LionGradientDescent	Lion
MuonGradientDescent	Muon

ETilingMode

enum class FLImagingCLR::AI::ETilingMode

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Image Tiling Mode

Enumerator
NoTiling_NoFit	The image will be input to the model without resizing.
NoTiling_Fit	The image will be resized to the model size.
SingleAxisTiling_ProportionalFit	Split the image into one-directional segments while maintaining a square aspect ratio.
BothAxesTiling_NoFit	Grid split the image into the model size while maintaining the original dimensions.
NoTiling_ProportionalFit	The image will be resized to the model size while ensuring that the image is not distorted. (Default)