Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12345]

fsdk	SDK namespace
IAGSEstimator	Approximate Garbage Score estimator interface
IBestShotQualityEstimator	BestShotQuality estimator interface
EstimationResult	BestShotQualityEstimator output structure
DepthLivenessEstimation	Depth estimator output structure
IDepthLivenessEstimator	Depth estimator interface
EyesEstimation	Eyes estimation output
EyeAttributes	Eyes attribute structure
EyeCropper	EyeCropper is a helper structure for IEyeEstimator interface Methods of this structure crop an input warped image and returns rectangle coordinates of each eye
EyesRects
IEyeEstimator	Eye estimator interface
FaceOcclusionEstimation	FaceOcclusionEstimation structure. This structure is used to check for occlusions in various parts of the face (such as the lower face, nose, eyes, or forehead). It contains the result of FaceOcclusionState and FaceOcclusionType estimations for each image
IFaceOcclusionEstimator	FaceOcclusion estimator interface
IGlassesEstimator	Glasses estimator interface
HeadPoseEstimation	Head pose estimation output
IHeadPoseEstimator	Head pose angles estimator interface
DepthRGBEstimation	Depth+RBG liveness estimation output structure
ILivenessDepthRGBEstimator	Depth+RGB estimator interface
LivenessOneShotRGBEstimation	Liveness OneShotRGB estimation structure
ILivenessOneShotRGBEstimator	OneShot RGB Liveness estimator interface
MedicalMaskEstimation	MedicalMask estimator output structure. This structure contains the result of estimation (
MedicalMaskEstimationExtended	MedicalMask estimator output structure. This structure contains the result of estimation (
IMedicalMaskEstimator	MedicalMask estimator interface
SmileTypeScores	Scores of smile type. Probability scores are defined in [0,1] range. Scores in this struct sum up to 1.0. We use them to decide if person is smiling with teeth's exposed or not
MouthEstimation	Mouth estimator output structure. Stores flags that indicates which mouth feature is present. Multiple state flags may be set to true meaning that the final mouth state is a combination of those. Probability scores are defined in [0,1] range
MouthEstimationExtended	Extended mouth estimator output structure. Stores flags that indicates which mouth feature is present. Multiple state flags may be set to true meaning that the final mouth state is a combination of those. Probability scores are defined in [0,1] range
IMouthEstimator	Mouth estimator interface
NIRLivenessEstimation	NIR Liveness estimation structure. Each score in normalized [0, 1] range, state shows real person or not
INIRLivenessEstimator	Infra red liveness estimator interface
Quality	Quality estimation structure Each estimation is given in normalized [0, 1] range. Parameter meanings:
SubjectiveQuality	Subjective Quality estimation structure Each estimation is given in normalized [0, 1] range. Parameter meanings:
IQualityEstimator	Image quality estimator interface
Exception
ErrorTraits< FSDKError >	Specialized for FSDKError
IAsyncContext	Interface for running tasks asynchronously
MatchingResult	Result of descriptor matching
IDescriptor	Descriptor interface
IDescriptorBatch	Descriptor batch interface
ErrorTraits< IDescriptorBatch::Error >	Specialized for DescriptorBatchError
IDescriptorExtractor	Descriptor extractor interface
IDescriptorMatcher	Descriptor matcher interface
IDetectionBatch	Detection result batch interface
IDetectionComparer	Interface of BestDetection comparer. Implement it if you want to use own BestDetection strategy
FunctionDetectionComparer	Syntax sugar, allows you to use lambdas to define a BestDetection comparer
IDetector	Face detector interface
IFaceDetectionBatch	Face detection result batch interface
IFaceEngineMobile	Root LUNA SDK object interface
IFaceLandmarksBatch	Landmarks result batch interface
IFaceLandmarksDetector
IImagesBatch	Result of ImageTransfer module
IImageTransfer	Image transfer facility which give speed up of usage internal memory pool
ILicense	License objects interface
IArchive	Archive interface
ISerializableObject	Serializable object interface
ErrorTraits< ISerializableObject::Error >	Specialized for ISerializableObject::SerializationError
IDataStorageObject	Data storage object interface helper
IPointBatch	Points result batch interface
IRefCounted	Base strong reference counted object interface
IResultBatch
ISettingsProvider	SDK settings provider interface
Desc	Configuration parameter description
Entry	Configuration parameter entry
Key	Configuration parameter key
Value	Configuration parameter value
Data	Value data
Float1
Float2
Float3
Float4
Int1
Int2
Int3
Int4
String
ErrorTraits< ISettingsProvider::Error >	Specialized for ISettingsProvider::ParseError
IWarper	Face detection area warper interface
LaunchOptions	LaunchOptions struct configures inference options on per-estimator/detector basis, giving user fine grained control over cpu/gpu utilisation
Detection	Detection structure. Stores a detected bounding box within a source image rect
Face
Format	Image format
Noncopyable	Helper class to block copy operator&constructor of its descendants
Promise	Promise class to support asynchronous data retrieval Look into std::promise semantics to understand it
Future	Future class to support asynchronous data retrieval Look into std::future semantics to understand it
ErrorTraits< FutureError >	Specialized for Future::Error
ErrorTraits< PromiseError >	Specialized for Promise::Error
Human
Image	Image
ErrorTraits< Image::Error >	Specialized for Image::Error
Landmarks	Face landmarks template structure
Landmarks5Indexes	Enumerates detected landmarks. Only valid for template with 5 landmarks
MultiError	An error structure designed for functions which can return errors from different enum classes
ErrorTraits< MultiError< E0, E1 > >	Specialized for MultiError
BaseRect	Rectangle
Ref	Smart pointer for reference counted objects
RefBase	Generic base class of a pointer for reference counted objects
ErrorTraits
Result	A structure that encapsulates an action result enumeration
ResultValue	Addon for Result to output some value aside the result. Specialization for copiable types
ResultValue< R, V, typename std::enable_if< std::is_copy_constructible< V >::value >::type >
ResultValue< R, V, typename std::enable_if< std::is_copy_constructible< V >::value==false >::type >	Addon for Result to output some value aside the result. Specialization for non copiable types
Sizer	Helper entity to measure size of dynamic objects in memory
Span	Span. Not owning data view. It incapsulated pointer to the continuous array with one or more T objects
SubImage	Sub Image
Transformation	Transformation data structure, used for warping
Vector2	Generic 2D vector
Version