Face Engine SDK 5.25.0
A face detection, recognition and tracking engine.
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fsdk::IFaceOcclusionEstimator Struct Referenceabstract

FaceOcclusion estimator interface. More...

#include <IFaceOcclusionEstimator.h>

Inheritance diagram for fsdk::IFaceOcclusionEstimator:
fsdk::IRefCounted

Public Member Functions

virtual ResultValue< FSDKError, FaceOcclusionEstimationestimate (const Image &warp, const Landmarks5 &landmarks5) const noexcept=0
 Checks whether persons face is occluded or not.
 
virtual Result< FSDKErrorestimate (Span< const Image > warps, Span< const Landmarks5 > landmarks, Span< FaceOcclusionEstimation > faceOcclusionEstimations) const noexcept=0
 This structure is used to check for occlusions in various parts of the face (such as the lower face, nose, eyes, or forehead) across multiple warped images in a single estimate function call.
 
virtual Result< FSDKErrorvalidate (Span< const Image > warps, Span< const Landmarks5 > landmarks, Span< Result< FSDKError > > errors) const noexcept=0
 Validate input of multiple frames in a single function call.
 
- Public Member Functions inherited from fsdk::IRefCounted
virtual int32_t retain () noexcept=0
 Increase strong reference count.
 
virtual int32_t retainLocked () noexcept=0
 Increase strong reference count thread safely.
 
virtual int32_t release () noexcept=0
 Decrease strong reference count.
 
virtual int32_t getRefCount () const noexcept=0
 Get actual strong reference count.
 
virtual int32_t retainWeak () noexcept=0
 Increase weak reference count.
 
virtual int32_t releaseWeak () noexcept=0
 Decrease weak reference count.
 
virtual int32_t getWeakRefCount () const noexcept=0
 Get actual weak reference count.
 

Detailed Description

FaceOcclusion estimator interface.

Note
This estimator is designed to work with a person face image;

Member Function Documentation

◆ estimate() [1/2]

virtual ResultValue< FSDKError, FaceOcclusionEstimation > fsdk::IFaceOcclusionEstimator::estimate ( const Image & warp,
const Landmarks5 & landmarks5 ) const
pure virtualnoexcept

Checks whether persons face is occluded or not.

Parameters
[in]warpimage with warped face;
See also
IWarper for details.
Parameters
[in]Landmarkswarped Landmarks.
Returns
ResultValue with error code and output enum value inside.
See also
FaceOcclusionEstimation, IWarper, Landmarks5, Image, ResultValue and FSDKError for details.
Note
warp format must be R8G8B8,
See also
Format.

◆ estimate() [2/2]

virtual Result< FSDKError > fsdk::IFaceOcclusionEstimator::estimate ( Span< const Image > warps,
Span< const Landmarks5 > landmarks,
Span< FaceOcclusionEstimation > faceOcclusionEstimations ) const
pure virtualnoexcept

This structure is used to check for occlusions in various parts of the face (such as the lower face, nose, eyes, or forehead) across multiple warped images in a single estimate function call.

Parameters
[in]warpsspan of images with warped faces.
[in]landmarksspan of warped landmarks.
[out]faceOcclusionEstimationsoutput FaceOcclusionEstimation span.
Returns
Result with error code.
See also
Span, FaceOcclusionEstimation, IWarper, Image, Landmarks5, Result and FSDKError for details.
Note
warps format must be R8G8B8,
See also
Format.
Note
all spans should be based on user owned continuous collections.
all spans should be equal size.

◆ validate()

virtual Result< FSDKError > fsdk::IFaceOcclusionEstimator::validate ( Span< const Image > warps,
Span< const Landmarks5 > landmarks,
Span< Result< FSDKError > > errors ) const
pure virtualnoexcept

Validate input of multiple frames in a single function call.

Parameters
[in]warpsspan of images with warped faces.
[in]landmarksspan of landmarks.
[out]errorsoutput span of errors for each image.
Returns
Result with error code.
See also
Span, IWarper, Image, Landmarks5, Result and FSDKError for details.
Note
warps format must be R8G8B8,
See also
Format.
Note
all spans should be based on user owned continuous collections.
all spans should be equal size.

The documentation for this struct was generated from the following file: