Face Engine SDK
5.14.0
A face detection, recognition and tracking engine.
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EyeBrow estimator interface. More...
#include <IEyeBrowEstimator.h>
Public Member Functions | |
virtual Result< FSDKError > | estimate (const Image &warp, EyeBrowEstimation &estimation) const noexcept=0 |
Estimate EyeBrowEstimation probabilities. More... | |
virtual Result< FSDKError > | estimate (Span< const Image > warps, Span< EyeBrowEstimation > estimations) const noexcept=0 |
Estimate EyeBrowEstimation probabilities of multiple warped images in a single estimate function call. More... | |
virtual Result< FSDKError > | validate (Span< const Image > warps, Span< Result< FSDKError >> errors) const noexcept=0 |
Validate input of multiple frames in a single function call. More... | |
Public Member Functions inherited from fsdk::IRefCounted | |
virtual int32_t | retain () noexcept=0 |
Increase strong reference count. More... | |
virtual int32_t | retainLocked () noexcept=0 |
Increase strong reference count thread safely. More... | |
virtual int32_t | release () noexcept=0 |
Decrease strong reference count. More... | |
virtual int32_t | getRefCount () const noexcept=0 |
Get actual strong reference count. More... | |
virtual int32_t | retainWeak () noexcept=0 |
Increase weak reference count. More... | |
virtual int32_t | releaseWeak () noexcept=0 |
Decrease weak reference count. More... | |
virtual int32_t | getWeakRefCount () const noexcept=0 |
Get actual weak reference count. More... | |
EyeBrow estimator interface.
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pure virtualnoexcept |
Estimate EyeBrowEstimation probabilities.
[in] | warp | image with warped face. |
[out] | estimation | estimation results. |
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pure virtualnoexcept |
Estimate EyeBrowEstimation probabilities of multiple warped images in a single estimate function call.
[in] | warps | span of images with warped faces. |
[out] | estimations | output EyeBrowEstimation span. |
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pure virtualnoexcept |
Validate input of multiple frames in a single function call.
[in] | warps | span of images with warped faces. |
[out] | errors | output span of errors for each image. |