pbio::ActiveLiveness | |
VDT.FaceRecognition.SDK.ActiveLiveness | |
com.vdt.face_recognition.sdk.ActiveLiveness | |
pbio::ActiveLiveness::ActiveLivenessStatus | Active liveness check state |
com.vdt.face_recognition.sdk.ActiveLiveness.ActiveLivenessStatus | Active liveness check state |
VDT.FaceRecognition.SDK.ActiveLiveness.ActiveLivenessStatus | Active liveness check state |
face_sdk.modules.active_liveness.ActiveLivenessStatus | Active liveness check state description |
com.vdt.face_recognition.sdk.CameraCalibrator.AddImageOutput | Result of image processing |
VDT.FaceRecognition.SDK.CameraCalibrator.AddImageOutput | Result of image processing |
com.vdt.face_recognition.sdk.AgeGenderEstimator.Age | Age groups |
pbio::AgeGenderEstimator::AgeGender | Age and gender |
com.vdt.face_recognition.sdk.AgeGenderEstimator.AgeGender | Age and gender |
VDT.FaceRecognition.SDK.AgeGenderEstimator.AgeGender | Age and gender |
face_sdk.modules.age_gender_estimator.AgeGender | Age and gender |
pbio::RawSample::Angles | Face orientation angles |
VDT.FaceRecognition.SDK.RawSample.Angles | Face orientation angles |
com.vdt.face_recognition.sdk.RawSample.Angles | Face orientation angles |
face_sdk.modules.raw_sample.Angles | Face orientation angles |
pbio::FaceAttributesEstimator::Attribute | The result of determining the presence of the required attribute on the face |
VDT.FaceRecognition.SDK.FaceAttributesEstimator.Attribute | |
com.vdt.face_recognition.sdk.FaceAttributesEstimator.Attribute | The result of determining the presence of the required attribute on the face |
face_sdk.modules.face_attributes_estimator.Attribute | Interface object used to estimate attributes of the face |
com.vdt.face_recognition.sdk.CameraCalibrator.CalibrateOutput | Result of calibration |
VDT.FaceRecognition.SDK.CameraCalibrator.CalibrateOutput | Result of calibration |
com.vdt.face_recognition.sdk.CameraCalibrator.CalibrationSettings | Сalibration process settings |
VDT.FaceRecognition.SDK.CameraCalibrator.CalibrationSettings | Сalibration process settings |
pbio::CameraCalibrator::CalibrationSettings | Сalibration process settings |
face_sdk.modules.raw_image.CapiData | |
com.vdt.face_recognition.sdk.Capturer.CapturerType | Capturer types (see also RawSample.SampleType) |
com.vdt.face_recognition.sdk.ActiveLiveness.CheckType | Check type for active liveness |
VDT.FaceRecognition.SDK.ComplexObject | |
VDT.FaceRecognition.SDK.Context | Context is an interface object for storing data and interacting with methods from the Processing Block API |
VDT.FaceRecognition.SDK.ProcessingBlock | Interface object used to work with estimators from Processing Block API |
face_sdk.modules.complex_object.ComplexObject | |
pbio::Config | A class used to override the configuration parameters at runtime |
Config | |
VDT.FaceRecognition.SDK.FacerecService.Config | Used to override configuration parameters at runtime |
face_sdk.modules.config.Config | Used to override configuration parameters at runtime |
pbio::Context | Context is an interface object for storing data and interacting with methods from the Processing Block API |
pbio::ContextRef | |
com.vdt.face_recognition.sdk.utils.Converter_YUV_NV_2_ARGB | Interface object for convertation image from YUV nv21(12) to ARGB |
CounterState | |
VDT.FaceRecognition.SDK.FacerecService.LicenseState.CounterState | State of the counter assigned to a specified license element |
com.vdt.face_recognition.sdk.FacerecService.LicenseState.CounterState | State of the counter assigned to a specified license element |
pbio::FacerecService::LicenseState::CounterState | State of the counter assigned to a specified license element |
com.vdt.face_recognition.sdk.VideoWorker.DatabaseElement | Database element. If you have several face templates for one person, you should create one element for each template with the same person_id but different element_id |
face_sdk.modules.video_worker.DatabaseElement | Database element |
VDT.FaceRecognition.SDK.VideoWorker.DatabaseElement | Database element. If you have several face templates for one person, you should create one element for each template with the same person_id but different element_id |
pbio::VideoWorker::DatabaseElement | Database element. If you have several face templates for one person, you should create one element for each template with the same person_id but different element_id |
VDT.FaceRecognition.SDK.DepthMapRaw | A depth map aligned with the original color image.
Correspondence between the coordinates of the original image and depth map is as follows:
let (x; y) be a point on the depth map, then a corresponding point on the original image is
(depth_map_2_image_offset_x + depth_map_2_image_scale_x * x; depth_map_2_image_offset_y + depth_map_2_image_scale_y * y) |
com.vdt.face_recognition.sdk.DepthMapRaw | A depth map aligned with the original color image.
Correspondence between the coordinates of the original image and depth map is as follows:
let (x; y) be a point on the depth map, then a corresponding point on the original image is
(depth_map_2_image_offset_x + depth_map_2_image_scale_x * x; depth_map_2_image_offset_y + depth_map_2_image_scale_y * y) |
face_sdk.modules.depth_map_raw.DepthMapRaw | A depth map aligned with the original color image |
pbio::DepthMapRaw | A depth map aligned with the original color image.
Correspondence between the coordinates of the original image and depth map is as follows:
let (x; y) be a point on the depth map, then a corresponding point on the original image is
(depth_map_2_image_offset_x + depth_map_2_image_scale_x * x; depth_map_2_image_offset_y + depth_map_2_image_scale_y * y) |
face_sdk.modules.dll_handle.DllHandle | |
com.vdt.face_recognition.sdk.EmotionsEstimator.Emotion | Emotions |
pbio::EmotionsEstimator::EmotionConfidence | Emotion with confidence |
VDT.FaceRecognition.SDK.EmotionsEstimator.EmotionConfidence | Emotion with confidence |
com.vdt.face_recognition.sdk.EmotionsEstimator.EmotionConfidence | Emotion with confidence |
face_sdk.modules.emotions_estimator.EmotionConfidence | Emotion with confidence |
VDT.FaceRecognition.SDK.ErrorMethods | |
exception | |
pbio::Error | The class of exceptions thrown when errors occur |
Exception | |
face_sdk.modules.error.Error | The class of exceptions thrown when errors occur |
VDT.FaceRecognition.SDK.Error | The class of exceptions thrown when errors occur |
VDT.FaceRecognition.SDK.ObjectDisposedException | The class of exception thrown when used disposed object |
VDT.FaceRecognition.SDK.ProcessingBlockError | |
face_sdk.modules.exception_check.ExceptionDestroyer | |
com.vdt.face_recognition.sdk.FaceAttributesEstimator.EyeStateScore.EyeState | |
pbio::FaceAttributesEstimator::EyeStateScore | Estimated eye state and probability of eye opening |
VDT.FaceRecognition.SDK.FaceAttributesEstimator.EyeStateScore | Estimated eye state and probability of eye opening |
com.vdt.face_recognition.sdk.FaceAttributesEstimator.EyeStateScore | Estimated eye state and probability of eye opening |
face_sdk.modules.face_attributes_estimator.EyeStateScore | |
com.vdt.face_recognition.sdk.RawSample.FaceCutType | Face cropping types |
FacerecService | |
face_sdk.modules.service.Service | |
com.vdt.face_recognition.sdk.Context.Format | |
com.vdt.face_recognition.sdk.RawImage.Format | Format of image data |
com.vdt.face_recognition.sdk.AgeGenderEstimator.Gender | Gender groups |
pbio::HeavySmartPtr< T > | |
IDisposable | |
VDT.FaceRecognition.SDK.ExceptionDestroyer | |
VDT.FaceRecognition.SDK.IDisposableObject | |
VDT.FaceRecognition.SDK.AgeGenderEstimator | Interface object for age and gender estimation |
VDT.FaceRecognition.SDK.CameraCalibrator | Interface object for camera calibration and correction of image distortion |
VDT.FaceRecognition.SDK.Capturer | Interface object for detecting or tracking of faces in the images or video sequences |
VDT.FaceRecognition.SDK.DepthLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
VDT.FaceRecognition.SDK.EmotionsEstimator | Interface object for estimation of emotions |
VDT.FaceRecognition.SDK.FaceQualityEstimator | Interface object for sample quality estimation |
VDT.FaceRecognition.SDK.FacerecService | Interface object for creating other interface objects |
VDT.FaceRecognition.SDK.Liveness2DEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
VDT.FaceRecognition.SDK.LivenessEstimator | Interface object used to estimate face liveness to prevent spoofing attacks |
VDT.FaceRecognition.SDK.QualityEstimator | Interface object used to estimate sample quality |
VDT.FaceRecognition.SDK.RawSample | Interface object that stores a captured face sample |
VDT.FaceRecognition.SDK.Recognizer | Interface object for creating and matching templates |
VDT.FaceRecognition.SDK.Template | Interface object for saving the face template |
VDT.FaceRecognition.SDK.TemplatesIndex | Interface object for working with the template index |
VDT.FaceRecognition.SDK.VideoWorker | VideoWorker is an interface object for tracking, processing and matching faces on multiple video streams. We recommend you to use VideoWorker instead of Capturer for face tracking on video streams. When VideoWorker is created with matching_thread=0 and processing_thread=0, then the standard Capturer license is used |
IEnumerable | |
VDT.FaceRecognition.SDK.Context | Context is an interface object for storing data and interacting with methods from the Processing Block API |
IEnumerator | |
VDT.FaceRecognition.SDK.Context | Context is an interface object for storing data and interacting with methods from the Processing Block API |
com.vdt.face_recognition.sdk.RawSample.ImageFormat | Image formats for saving |
pbio::IRawImage | Raw image interface. To use this interface, you need to inherit it and create your own implementation for a specific image type. See an example of implementation in pbio/example/CVRawImage.h |
pbio::CVRawImage | Example of implementation of the pbio::IRawImage interface via OpenCV |
com.vdt.face_recognition.sdk.IRFrameRaw | An IR frame aligned with an original color image.
Correspondence between the coordinates of the original image and the IR frame is as follows:
let (x; y) be a point on the IR frame, then a corresponding point on the original image is
(ir_frame_2_image_offset_x + ir_frame_2_image_scale_x * x; ir_frame_2_image_offset_y + ir_frame_2_image_scale_y * y) |
pbio::IRFrameRaw | An IR frame aligned with an original color image.
Correspondence between the coordinates of the original image and the IR frame is as follows:
let (x; y) be a point on the IR frame, then a corresponding point on the original image is
(ir_frame_2_image_offset_x + ir_frame_image_2_scale_x * x; ir_frame_2_image_offset_y + ir_frame_2_image_scale_y * y) |
face_sdk.modules.ir_frame_raw.IRFrameRaw | An IR frame aligned with the original color image |
VDT.FaceRecognition.SDK.FacerecService.License | Storing the license as a string variable |
com.vdt.face_recognition.sdk.FacerecService.License | Storing the license as a string variable |
pbio::FacerecService::License | Storing the license as a string variable |
LicenseState | |
VDT.FaceRecognition.SDK.FacerecService.LicenseState | License status |
com.vdt.face_recognition.sdk.FacerecService.LicenseState | License status |
pbio::FacerecService::LicenseState | License status |
pbio::LightSmartPtr< T > | |
pbio::LightSmartPtr< import::DllHandle > | |
pbio::LightSmartPtr< InternalImageBuffer > | |
pbio::LightSmartPtr< RawSample > | |
pbio::LightSmartPtr< Template > | |
com.vdt.face_recognition.sdk.ActiveLiveness.Liveness | Active liveness check state |
com.vdt.face_recognition.sdk.DepthLivenessEstimator.Liveness | Estimated liveness |
com.vdt.face_recognition.sdk.IRLivenessEstimator.Liveness | Estimated liveness |
com.vdt.face_recognition.sdk.Liveness2DEstimator.Liveness | Estimated liveness |
com.vdt.face_recognition.sdk.LivenessEstimator.Liveness | Estimated liveness |
pbio::Liveness2DEstimator::LivenessAndScore | Estimated liveness and score |
VDT.FaceRecognition.SDK.Liveness2DEstimator.LivenessAndScore | Estimated liveness and score |
com.vdt.face_recognition.sdk.Liveness2DEstimator.LivenessAndScore | Estimated liveness and score |
face_sdk.modules.liveness_2d_estimator.LivenessAndScore | Estimated liveness and score |
com.vdt.face_recognition.sdk.FaceAttributesEstimator.Attribute.MaskAttribute | Detailed description for attribute - medical mask |
pbio::VideoWorker::MatchFoundCallbackData | MatchFound callback data |
VDT.FaceRecognition.SDK.VideoWorker.MatchFoundCallbackData | MatchFound callback data |
com.vdt.face_recognition.sdk.VideoWorker.MatchFoundCallbackU | Callback function type for a MatchFound event |
com.vdt.face_recognition.sdk.VideoWorker.MatchFoundCallback | Callback function type for a MatchFound event |
com.vdt.face_recognition.sdk.Recognizer.MatchResult | Result of template matching |
pbio::Recognizer::MatchResult | Result of template matching |
VDT.FaceRecognition.SDK.Recognizer.MatchResult | Result of template matching |
face_sdk.modules.recognizer.MatchResult | Interface object for creating and matching templates |
NSObject | |
ActiveLivenessStatus | |
AgeGender | |
Angles | Face orientation angles |
Capturer | Interface object for detecting or tracking of faces in the images or video sequences |
Context | Context is an interface object for storing data and interacting with methods from the Processing Block API |
DatabaseElement | Database element. If you have several face templates for one person, you should create one element for each template with the same person_id but different element_id |
EmotionsConfidence | |
MatchFoundCallbackData | |
MatchResult | Result of template matching |
Point2 | 3D point |
ProcessingBlock | Interface object used to work with estimators from Processing Block API |
RawImage | Struct that provides raw image data and optional cropping information |
RawSample | Interface object that stores a captured face sample |
Recognizer | |
face_sdk.modules.resizable_recognizer.ResizableRecognizer | |
Rectangle | Rectangle in an image |
SearchResult | |
Template | Interface object for saving the face template |
TrackingCallbackData | |
VideoWorker | VideoWorker is an interface object for tracking, processing and matching faces on multiple video streams. We recommend you to use VideoWorker instead of Capturer for face tracking on video streams. When VideoWorker is created with matching_thread=0 and processing_thread=0, then the standard Capturer license is used |
com.vdt.face_recognition.sdk.VideoWorker.Params | Parameters of the VideoWorker constructor |
face_sdk.modules.video_worker.Params | Parameters of the VideoWorker constructor |
Params | |
VDT.FaceRecognition.SDK.VideoWorker.Params | Parameters of the VideoWorker constructor |
pbio::VideoWorker::Params | Parameters of the VideoWorker constructor |
com.vdt.face_recognition.sdk.CameraCalibrator.CalibrationSettings.PatternType | Types of calibration patterns |
com.vdt.face_recognition.sdk.RawImage.PixelFormat | Format of image data in pixel array |
pbio::Point | 3D point |
VDT.FaceRecognition.SDK.Point | 3D point |
com.vdt.face_recognition.sdk.Point | 3D point |
face_sdk.modules.point.Point | 3D point |
pbio::ProcessingBlock | Interface object used to work with estimators from Processing Block API |
ProcessingBlock_old | |
VDT.FaceRecognition.SDK.FaceAttributesEstimator | Interface object used to estimate attributes of the face |
face_sdk.modules.exception_check.ProcessngBlockExceptionDestroyer | |
com.vdt.face_recognition.sdk.QualityEstimator.Quality | Set of quality parameters. Each parameter is in range 1 to 5. '1' stands for 'best qualit', '5' stands for 'worst quality' |
VDT.FaceRecognition.SDK.QualityEstimator.Quality | Set of quality parameters. Each parameter is in range 1 to 5. '1' stands for 'best qualit', '5' stands for 'worst quality' |
face_sdk.modules.quality_estimator.Quality | Set of quality parameters |
pbio::QualityEstimator::Quality | Set of quality parameters. Each parameter is in range 1 to 5. '1' stands for 'best qualit', '5' stands for 'worst quality' |
pbio::RawImage | Struct that provides raw image data and optional cropping information |
VDT.FaceRecognition.SDK.RawImage | Class to provide raw image data and optional crop information |
com.vdt.face_recognition.sdk.RawImage | Class to provide raw image data and optional cropping information |
face_sdk.modules.raw_image.RawImage | Raw image interface |
face_sdk.modules.raw_image.Rectangle | Rectangle in an image |
com.vdt.face_recognition.sdk.RawSample.Rectangle | Rectangle in an image |
VDT.FaceRecognition.SDK.RawSample.Rectangle | Rectangle in an image |
pbio::Rectangle | Rectangle in an image |
com.vdt.face_recognition.sdk.TrackingCallbackData.SampleCheckStatus | The result of some kind of sample checking |
pbio::SampleCheckStatus | The result of some kind of sample checking |
com.vdt.face_recognition.sdk.RawSample.SampleType | Sample types (see also VDT.FaceRecognition.SDK.Capturer.CapturerType) |
com.vdt.face_recognition.sdk.Recognizer.SearchAccelerationType | Types of search acceleration |
com.vdt.face_recognition.sdk.VideoWorker.SearchResult | Template search result (for the VideoWorker.MatchFoundCallback) |
VDT.FaceRecognition.SDK.Recognizer.SearchResult | Result of searching the Template query in the TemplatesIndex |
pbio::VideoWorker::SearchResult | Template search result (for VideoWorker::MatchFoundCallbackFuncU) |
VDT.FaceRecognition.SDK.VideoWorker.SearchResult | Template search result (for the VideoWorker.MatchFoundCallback) |
face_sdk.modules.video_worker.SearchResult | Template search result (for face_sdk_3divi.modules.video_worker.MatchFoundCallbackFuncU) |
pbio::Recognizer::SearchResult | Result of searching the Template query in the TemplatesIndex |
face_sdk.modules.recognizer.SearchResult | Result of searching the Template query in the TemplatesIndex |
com.vdt.face_recognition.sdk.Recognizer.SearchResult | Result of searching the Template query in the TemplatesIndex |
pbio::SmartPtr< T > | |
face_sdk.modules.video_worker.StiPersonOutdatedCallbackData | StiPersonOutdated callback data |
pbio::VideoWorker::StiPersonOutdatedCallbackData | StiPersonOutdated callback data |
VDT.FaceRecognition.SDK.VideoWorker.StiPersonOutdatedCallbackData | StiPersonOutdated callback data |
com.vdt.face_recognition.sdk.VideoWorker.StiPersonOutdatedCallbackU | Callback function type for an StiPersonOutdated event |
pbio::StructStorageFields | |
face_sdk.modules.video_worker.TemplateCreatedCallbackData | TemplateCreated callback data |
face_sdk.modules.video_worker.MatchFoundCallbackData | MatchFound callback data |
pbio::VideoWorker::TemplateCreatedCallbackData | TemplateCreated callback data |
VDT.FaceRecognition.SDK.VideoWorker.TemplateCreatedCallbackData | TemplateCreated callback data |
com.vdt.face_recognition.sdk.VideoWorker.TemplateCreatedCallbackU | Callback function type for a TemplateCreated event |
com.vdt.face_recognition.sdk.VideoWorker.TemplateCreatedCallback | Callback function type for a TemplateCreated event |
pbio::VideoWorker::TrackingCallbackData | Tracking callback data |
face_sdk.modules.video_worker.TrackingCallbackData | Tracking callback data |
VDT.FaceRecognition.SDK.VideoWorker.TrackingCallbackData | Tracking callback data |
com.vdt.face_recognition.sdk.VideoWorker.TrackingCallbackU | Callback function type for a Tracking event. This callback is called every time the frame has been processed by the tracker. Tracking callback will be called with frame_id = X not earlier than VideoWorker.addVideoFrame returns the value X + N - 1, where N is the value returned by VideoWorker.getTrackingConveyorSize |
com.vdt.face_recognition.sdk.VideoWorker.TrackingCallback | Callback function type for a Tracking event |
face_sdk.modules.video_worker.TrackingLostCallbackData | TrackingLost callback data |
VDT.FaceRecognition.SDK.VideoWorker.TrackingLostCallbackData | TrackingLost callback data |
pbio::VideoWorker::TrackingLostCallbackData | TrackingLost callback data |
com.vdt.face_recognition.sdk.VideoWorker.TrackingLostCallbackU | Callback function type for a TrackingLost event (e.g. when a person leaves the frame) |
com.vdt.face_recognition.sdk.VideoWorker.TrackingLostCallback | Callback function type for a TrackingLost event (e.g. when a person leaves the frame) |
CallbackData | |
com.vdt.face_recognition.sdk.MatchFoundCallbackData | Interface object for encapsulation data from MatchFoundCallback |
com.vdt.face_recognition.sdk.StiPersonOutdatedCallbackData | An interface object for encapsulated data from StiPersonOutdatedCallback |
com.vdt.face_recognition.sdk.TemplateCreatedCallbackData | Interface object for encapsulation data from TemplateCreatedCallback |
com.vdt.face_recognition.sdk.TrackingCallbackData | Interface object for encapsulation data from TrackingCallback |
com.vdt.face_recognition.sdk.TrackingLostCallbackData | Interface object for encapsulation data from TrackingLostCallback |
ComplexObject | |
face_sdk.modules.age_gender_estimator.AgeGenderEstimator | Interface object for age & gender estimation |
face_sdk.modules.capturer.Capturer | Interface object for detecting or tracking of faces in the images or video sequences |
face_sdk.modules.context.Context | Interface object for the container is Context |
face_sdk.modules.depth_liveness_estimator.DepthLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
face_sdk.modules.emotions_estimator.EmotionsEstimator | Interface object for estimation of emotions |
face_sdk.modules.face_quality_estimator.FaceQualityEstimator | Interface object for sample quality estimation |
face_sdk.modules.facerec_service.FacerecService | Interface object for creating other interface objects |
face_sdk.modules.ir_liveness_estimator.IRLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
face_sdk.modules.liveness_2d_estimator.Liveness2DEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
face_sdk.modules.processing_block.LegacyProcessingBlock | Interface object used to work with Legacy Processing Block API |
face_sdk.modules.processing_block.ProcessingBlock | Interface object used to work with estimators from Processing Block API |
face_sdk.modules.quality_estimator.QualityEstimator | Interface object for image quality estimation |
face_sdk.modules.raw_sample.RawSample | Interface object that stores a captured face sample |
face_sdk.modules.recognizer.Recognizer | Interface object for creating and matching templates |
face_sdk.modules.template.Template | Interface object for saving the face template |
face_sdk.modules.templates_index.TemplatesIndex | Interface object for working with the template index |
face_sdk.modules.video_worker.VideoWorker | VideoWorker is an interface object for tracking, processing and matching faces on multiple video streams |
pbio::AgeGenderEstimator | Interface object for age and gender estimation |
pbio::CameraCalibrator | Interface object for camera calibration and correction of image distortion |
pbio::Capturer | Interface object for detecting or tracking of faces in the images or video sequences |
pbio::DepthLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
pbio::EmotionsEstimator | Interface object for estimation of emotions |
pbio::FaceAttributesEstimator | Interface object used to estimate attributes of the face |
pbio::FaceQualityEstimator | Interface object for sample quality estimation |
pbio::FacerecService | Interface object for creating other interface objects |
pbio::InternalImageBuffer | Interface object that stores image data. Always create new InternalImageBuffer for every image or video frame. Never change image data of InternalImageBuffer after first use |
pbio::IRLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
pbio::Liveness2DEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
pbio::LivenessEstimator | Interface object used to estimate face liveness to prevent spoofing attacks |
pbio::QualityEstimator | Interface object used to estimate sample quality |
pbio::RawSample | Interface object that stores a captured face sample |
pbio::Recognizer | Interface object for creating and matching templates |
pbio::Template | Interface object for saving the face template |
pbio::TemplatesIndex | Interface object for working with the template index |
pbio::VideoWorker | VideoWorker is an interface object for tracking, processing and matching faces on multiple video streams. We recommend you to use VideoWorker instead of Capturer for face tracking on video streams. When VideoWorker is created with matching_thread=0 and processing_thread=0, then the standard Capturer license is used |
Enum | |
face_sdk.modules.active_liveness.CheckType | Check type for active liveness |
face_sdk.modules.active_liveness.Liveness | Active liveness check state |
face_sdk.modules.age_gender_estimator.Age | Age groups |
face_sdk.modules.age_gender_estimator.Gender | Gender groups |
face_sdk.modules.capturer.CapturerType | Capturer types (see also RawSample.SampleType) |
face_sdk.modules.context.ContextFormat | |
face_sdk.modules.depth_liveness_estimator.Liveness | Estimated liveness |
face_sdk.modules.emotions_estimator.Emotion | Emotions |
face_sdk.modules.face_attributes_estimator.EyeState | Estimated eye state |
face_sdk.modules.face_attributes_estimator.MaskAttribute | Detailed description for attribute - medical mask |
face_sdk.modules.ir_liveness_estimator.Liveness | Estimated liveness |
face_sdk.modules.liveness_2d_estimator.Liveness | Estimated liveness |
face_sdk.modules.raw_image.Format | Format of image data |
face_sdk.modules.recognizer.SearchAccelerationType | Types of search acceleration |
face_sdk.modules.sample_check_status.Verdict | The result of some kind of sample checking |
face_sdk.modules.struct_storage_fields.StructStorageFields | |
FinalizableObject | |
com.vdt.face_recognition.sdk.AgeGenderEstimator | Interface object for age and gender estimation |
com.vdt.face_recognition.sdk.CameraCalibrator | Interface object for camera calibration and correction of image distortion |
com.vdt.face_recognition.sdk.Capturer | Interface object for detecting or tracking of faces in the images or video sequences |
com.vdt.face_recognition.sdk.Context | Context is an interface object for storing data and interacting with methods from the Processing Block API |
com.vdt.face_recognition.sdk.DepthLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
com.vdt.face_recognition.sdk.EmotionsEstimator | Interface object for estimation of emotions |
com.vdt.face_recognition.sdk.FaceAttributesEstimator | Interface object used to estimate attributes of the face |
com.vdt.face_recognition.sdk.FaceQualityEstimator | Interface object for sample quality estimation |
com.vdt.face_recognition.sdk.FacerecService | Interface object for creating other interface objects |
com.vdt.face_recognition.sdk.FacerecService.Config | Used to override configuration parameters at runtime |
com.vdt.face_recognition.sdk.IRLivenessEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
com.vdt.face_recognition.sdk.Liveness2DEstimator | Interface object used to estimate face liveness in order to prevent spoofing attacks |
com.vdt.face_recognition.sdk.LivenessEstimator | Interface object used to estimate face liveness to prevent spoofing attacks |
com.vdt.face_recognition.sdk.ProcessingBlock | Interface object used to work with estimators from Processing Block API |
com.vdt.face_recognition.sdk.QualityEstimator | Interface object used to estimate sample quality |
com.vdt.face_recognition.sdk.RawSample | Interface object that stores a captured face sample |
com.vdt.face_recognition.sdk.Recognizer | Interface object for creating and matching templates |
com.vdt.face_recognition.sdk.Template | Interface object for saving the face template |
com.vdt.face_recognition.sdk.TemplatesIndex | Interface object for working with the template index |
com.vdt.face_recognition.sdk.VideoWorker | VideoWorker is an interface object for tracking, processing and matching faces on multiple video streams. We recommend you to use VideoWorker instead of Capturer for face tracking on video streams. When VideoWorker is created with matching_thread=0 and processing_thread=0, then the standard Capturer license is used |
IntEnum | |
face_sdk.modules.raw_sample.FaceCutType | Face cropping types |
face_sdk.modules.raw_sample.ImageFormat | Image formats for saving |
face_sdk.modules.raw_sample.SampleType | Sample types (see also VDT.FaceRecognition.SDK.Capturer.CapturerType) |
face_sdk.modules.video_worker.VideoWorkerSomething | |
LegacyProcessingBlock | |
face_sdk.modules.face_attributes_estimator.FaceAttributesEstimator | Interface object used to estimate attributes of the face |
RawImage | |
face_sdk.example.cv_raw_image.CVRawImage | Example of implementation of the RawImage interface via OpenCV |
RuntimeException | |
com.vdt.face_recognition.sdk.SDKException | The class of exceptions thrown when errors occur |
TemplatesIndex | |
face_sdk.modules.resizable_templates_index.ResizableTemplatesIndex | |