Namespace List

Here is a list of all documented namespaces with brief descriptions:

[detail level 12345]

▼Nfsdk	SDK namespace
CBaseRect	Rectangle
CDepthLivenessEstimation	Depth estimator output structure
CDepthRGBEstimation	Depth+RBG liveness estimation output structure
CDetection	Detection structure. @detail Stores a detected bounding box within a source image rect
CErrorTraits
CErrorTraits< FSDKError >	Specialized for FSDKError
CErrorTraits< FutureError >	Specialized for Future::Error
CErrorTraits< IDescriptorBatch::Error >	Specialized for DescriptorBatchError
CErrorTraits< Image::Error >	Specialized for Image::Error
CErrorTraits< ISerializableObject::Error >	Specialized for ISerializableObject::SerializationError
CErrorTraits< ISettingsProvider::Error >	Specialized for ISettingsProvider::ParseError
CErrorTraits< MultiError< E0, E1 > >	Specialized for MultiError
CErrorTraits< PromiseError >	Specialized for Promise::Error
CException
▼CEyeCropper	EyeCropper is a helper structure for IEyeEstimator interface Methods of this structure crop an input warped image and returns rectangle coordinates of each eye
CEyesRects
▼CEyesEstimation	Eyes estimation output
CEyeAttributes	Eyes attribute structure
CFace
CFaceOcclusionEstimation	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
CFormat	Image format
CFunctionDetectionComparer	Syntax sugar, allows you to use lambdas to define a BestDetection comparer
CFuture	Future class to support asynchronous data retrieval Look into std::future semantics to understand it
CHeadPoseEstimation	Head pose estimation output
CHuman
CIAGSEstimator	Approximate Garbage Score estimator interface
CIArchive	Archive interface
CIAsyncContext	Interface for running tasks asynchronously
▼CIBestShotQualityEstimator	BestShotQuality estimator interface
CEstimationResult	BestShotQualityEstimator output structure
CIDataStorageObject	Data storage object interface helper
CIDepthLivenessEstimator	Depth estimator interface
CIDescriptor	Descriptor interface
CIDescriptorBatch	Descriptor batch interface
CIDescriptorExtractor	Descriptor extractor interface
CIDescriptorMatcher	Descriptor matcher interface
CIDetectionBatch	Detection result batch interface
CIDetectionComparer	Interface of BestDetection comparer. Implement it if you want to use own BestDetection strategy
CIDetector	Face detector interface
CIEyeEstimator	Eye estimator interface
CIFaceDetectionBatch	Face detection result batch interface
CIFaceEngineMobile	Root LUNA SDK object interface
CIFaceLandmarksBatch	Landmarks result batch interface
CIFaceLandmarksDetector
CIFaceOcclusionEstimator	FaceOcclusion estimator interface
CIGlassesEstimator	Glasses estimator interface
CIHeadPoseEstimator	Head pose angles estimator interface
CIImagesBatch	Result of ImageTransfer module
CIImageTransfer	Image transfer facility which give speed up of usage internal memory pool
CILicense	License objects interface
CILivenessDepthRGBEstimator	Depth+RGB estimator interface
CILivenessOneShotRGBEstimator	OneShot RGB Liveness estimator interface
CImage	Image
CIMedicalMaskEstimator	MedicalMask estimator interface
CIMouthEstimator	Mouth estimator interface
CINIRLivenessEstimator	Infra red liveness estimator interface
CIPointBatch	Points result batch interface
CIQualityEstimator	Image quality estimator interface
CIRefCounted	Base strong reference counted object interface
CIResultBatch
CISerializableObject	Serializable object interface
▼CISettingsProvider	SDK settings provider interface
CDesc	Configuration parameter description
CEntry	Configuration parameter entry
CKey	Configuration parameter key
▼CValue	Configuration parameter value
►CData	Value data
CFloat1
CFloat2
CFloat3
CFloat4
CInt1
CInt2
CInt3
CInt4
CString
CIWarper	Face detection area warper interface
CLandmarks	Face landmarks template structure
CLandmarks5Indexes	Enumerates detected landmarks. Only valid for template with 5 landmarks
CLaunchOptions	LaunchOptions struct configures inference options on per-estimator/detector basis, giving user fine grained control over cpu/gpu utilisation
CLivenessOneShotRGBEstimation	Liveness OneShotRGB estimation structure
CMatchingResult	Result of descriptor matching
CMedicalMaskEstimation	MedicalMask estimator output structure. This structure contains the result of estimation (
CMedicalMaskEstimationExtended	MedicalMask estimator output structure. This structure contains the result of estimation (
CMouthEstimation	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
CMouthEstimationExtended	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
CMultiError	An error structure designed for functions which can return errors from different enum classes
CNIRLivenessEstimation	NIR Liveness estimation structure. Each score in normalized [0, 1] range, state shows real person or not
CNoncopyable	Helper class to block copy operator&constructor of its descendants
CPromise	Promise class to support asynchronous data retrieval Look into std::promise semantics to understand it
CQuality	Quality estimation structure Each estimation is given in normalized [0, 1] range. Parameter meanings:
CRef	Smart pointer for reference counted objects
CRefBase	Generic base class of a pointer for reference counted objects
CResult	A structure that encapsulates an action result enumeration
CResultValue	Addon for Result to output some value aside the result. Specialization for copiable types
CResultValue< R, V, typename std::enable_if< std::is_copy_constructible< V >::value >::type >
CResultValue< 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
CSizer	Helper entity to measure size of dynamic objects in memory
CSmileTypeScores	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
CSpan	Span. @detail Not owning data view. It incapsulated pointer to the continuous array with one or more T objects
CSubImage	Sub Image
CSubjectiveQuality	Subjective Quality estimation structure Each estimation is given in normalized [0, 1] range. Parameter meanings:
CTransformation	Transformation data structure, used for warping
CVector2	Generic 2D vector
CVersion