Class List

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

[detail level 12345]

fsdk	SDK namespace
experimental
DeepFakeEstimation	DeepFake estimation structure. The current implementation is experimental, and does not support backward compatibility. The API can be modified in upcoming versions
IDeepFakeEstimator	DeepFake estimator interface. The current implementation is experimental, and does not support backward compatibility. The API can be modified in upcoming versions
IAGSEstimator	Approximate Garbage Score estimator interface
BackgroundEstimation	Background estimator output structure. This structure contains the result of estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
IBackgroundEstimator	Background estimator interface
IBestShotQualityEstimator	BestShotQuality estimator interface
EstimationResult	BestShotQualityEstimator output structure
ImageColorEstimation	Image color type estimator interface
IBlackWhiteEstimator
CredibilityCheckEstimation	CredibilityCheck estimator output structure
ICredibilityCheckEstimator	CredibilityCheck estimator interface
CrowdEstimation	Crowd estimation structure
ICrowdEstimator	Crowd estimator interface
DynamicRangeEstimation	DynamicRange estimator output structure. This structure contains score for possible estimation result. Probability score is defined in [0,1] range
IDynamicRangeEstimator	DynamicRange estimator interface
EmotionsEstimation	Emotions estimation structure. Each estimation is given in normalized [0, 1] range
IEmotionsEstimator	Emotions estimator interface
IEthnicityEstimator
EstimationResult
EyeBrowEstimation	EyeBrow estimation structure
IEyeBrowEstimator	EyeBrow 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
FacialHairEstimation	FacialHair estimator output structure. This structure contains the result of estimation (
IFacialHairEstimator	FacialHair estimator interface
FightsEstimation	FightsEstimation result structure. This structure will return from the IFightsEstimatorContext::getResult method call. This structure contains current estimation result for input frames
IFightsEstimatorContext	FightsEstimator context stucture This structure will return from the IFightsEstimator::estimate method call
IFightsEstimator	FightsEstimator estimator interface
FishEyeEstimation	FishEye estimator output structure. This structure contains the result of estimation (
IFishEyeEstimator	FishEye estimator interface
GazeEstimation	Gaze estimation output
IGazeEstimator	Gaze estimator interface
IGlassesEstimator	Glasses estimator interface
HeadPoseEstimation	Head pose estimation output
IHeadPoseEstimator	Head pose angles estimator interface
HeadWearStateEstimation	HeadWearState estimator output structure. This structure contains the result of estimation (
HeadWearTypeEstimation	HeadWearType estimator output structure. This structure contains the result of estimation (
HeadWearEstimation	HeadWear estimator output structure. This structure contains the result of HeadWearState and HeadWearType estimations
IHeadWearEstimator	HeadWear estimator interface
HumanAttributeResult	Unified HumanAttribute estimator output structure
ApparentColorEstimation	HumanAttribute estimator simplified color output structure. This structure contains the result of truncated pool of clor estimations and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
BackpackEstimation	HumanAttribute estimator backpack output structure. This structure contains the result of backpack estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
GenderEstimation	HumanAttribute estimator gender output structure. This structure contains the result of gender estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
HatEstimation	HumanAttribute estimator hat output structure. This structure contains the result of hat estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
LowerBodyClothingEstimation	HumanAttribute estimator lower body clothing output structure. This structure contains the result of lower body clothing estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
OutwearColorEstimation	HumanAttribute estimator outwear color output structure. This structure contains the result of outwear color estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
SleeveSizeEstimation	HumanAttribute estimator sleeves size output structure. This structure contains the result of sleeves size estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
IHumanAttributeEstimator	HumanAttribute estimator interface
DepthRange	Depth range configuration structure in millimeters
DepthEstimation	Depth estimator output structure
ILivenessDepthEstimator	Depth estimator interface
DepthRGBEstimation	Depth+RBG liveness estimation output structure
ILivenessDepthRGBEstimator	Depth+RGB estimator interface
LivenessFlyingFacesEstimation	Liveness Flying Faces estimation output
ILivenessFlyingFacesEstimator	Flying Faces Liveness estimator interface
LivenessFPREstimation	Liveness FPR estimation output
ILivenessFPREstimator	FPR Liveness estimator interface
IREstimation	IR estimation structure. Each score in normalized [0, 1] range, isReal shows real person or not
ILivenessIREstimator	Infra red liveness estimator interface
LivenessOneShotRGBEstimation	Liveness OneShotRGB estimation structure
ILivenessOneShotRGBEstimator	OneShot RGB Liveness estimator interface
LivenessRGBMEstimation	LivenessRGBM estimation structure
ILivenessRGBMEstimator	RGBM 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
NaturalLightEstimation	NaturalLight estimator output structure. This structure contains the result of estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
INaturalLightEstimator	NaturalLight 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
IOrientationEstimator	Image orientation estimator interface
OverlapEstimation	Face overlap estimation output
IOverlapEstimator	Overlap estimator interface
PortraitStyleEstimation	PortraitStyle estimator output structure. This structure contains the result of estimation and probability scores for each possible estimation result. Probability scores are defined in [0,1] range
IPortraitStyleEstimator	PortraitStyle estimator interface
OnePPEEstimation	Personal Protection Equipment estimation structure (a.k.a. PPE) This structure contains prediction scores per each personal equipment attribute
PPEEstimation	Personal Protection Equipment output structure. This structure aggregates multiple PPE attributes predictions
IPPEEstimator	Personal Protection Equipment 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
RedEyeEstimation	Red eye estimation output
RedEyeAttributes	Eyes attribute structure
IRedEyeEstimator	Red eye 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
IFaceEngine	Root LUNA SDK object interface
IFaceLandmarksBatch	Landmarks result batch interface
IFaceLandmarksDetector
IHeadDetector
IHumanDetectionBatch	Human detection result batch interface
IHumanDetector	Human body detector interface
HumanFaceAssociation	Type for human and face association
IHumanFaceBatch	HumanFace result batch interface
IHumanFaceDetector	Human and face detector interface
IHumanWarper	Human detection area warper interface
IIDMap	Id map interface
SearchResult	Result of index search
IStaticDescriptorStorage	Static descriptor storage interface
IDynamicDescriptorStorage	Dynamic descriptor storage interface
IIndex	Base index interface
IDenseIndex	Dense (read only) index interface
IDynamicIndex	Dynamic index interface
IProgressTracker	Progress tracker interface
IIndexBuilder	Index builder interface
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