Face Engine SDK  5.23.1
A face detection, recognition and tracking engine.
fsdk::IDescriptorMatcher Struct Reference

Descriptor matcher interface. More...

#include <IDescriptor.h>

Inheritance diagram for fsdk::IDescriptorMatcher:
fsdk::IRefCounted

List of all members.

Public Member Functions

virtual ResultValue< FSDKError,
MatchingResult
match (const IDescriptor *first, const IDescriptor *second) noexcept=0
 Match descriptors 1:1.
virtual Result< FSDKErrormatch (const IDescriptor *reference, const IDescriptorBatch *candidates, Span< MatchingResult > results) noexcept=0
 Match descriptors 1:M.
virtual uint32_t getModelVersion () const noexcept=0
 Get algorithm model version this matcher works with.
virtual Result< FSDKErrorcalcSimilarity (Span< MatchingResult > distances) const noexcept=0
 Calculates similarity based on distance.
virtual Result< FSDKErrorcalcDistance (Span< MatchingResult > similarities) const noexcept=0
 Calculates distance from similarity.

Detailed Description

Descriptor matcher interface.

Matches descriptors 1:1 and 1:M (

See also:
IDescriptor and IDescriptorBatch interfaces).

As a result of the matching process the calling site gets a MatchingResult (or several of them in case of 1:M matching). The MatchingResult structure contains distance and similarity metrics.

Distance is measured in abstract units and tends to 0 for similar descriptors and to infinity for different ones. Similarity is the opposite metric and shows probability of two descriptors belonging to the same person; therfore it is normalized to [0..1] range.

See also:
MatchingResult for details.

Member Function Documentation

virtual Result<FSDKError> fsdk::IDescriptorMatcher::calcDistance ( Span< MatchingResult similarities) const [pure virtual]

Calculates distance from similarity.

The method gets similarity from `similarities`[i].similarity and assigns the result to `similarities`[i].distance.

Parameters:
[in]similaritiesis a mutable span of matching results with calculated similarity.
Returns:
Result with error code.
See also:
Span, MatchingResult, Result and FSDKError for details.
Note:
all spans should be based on user owned continuous collections.
virtual Result<FSDKError> fsdk::IDescriptorMatcher::calcSimilarity ( Span< MatchingResult distances) const [pure virtual]

Calculates similarity based on distance.

The method gets distance from `distances`[i].distances. and assigns the result to `distances`[i].similarity.

Parameters:
[in]dinstancesis a mutable span of matching results with calculated distances.
Returns:
Result with error code.
See also:
Span, MatchingResult, Result and FSDKError for details.
Note:
all spans should be based on user owned continuous collections.
virtual uint32_t fsdk::IDescriptorMatcher::getModelVersion ( ) const [pure virtual]

Get algorithm model version this matcher works with.

Returns:
Version as integral number.
virtual ResultValue<FSDKError, MatchingResult> fsdk::IDescriptorMatcher::match ( const IDescriptor first,
const IDescriptor second 
) [pure virtual]

Match descriptors 1:1.

Parameters:
[in]firstfirst descriptor.
[in]secondsecond descriptor.
Returns:
ResultValue with error code and matching result.
See also:
MatchingResult, IDescriptor, ResultValue and FSDKError for details.
virtual Result<FSDKError> fsdk::IDescriptorMatcher::match ( const IDescriptor reference,
const IDescriptorBatch candidates,
Span< MatchingResult results 
) [pure virtual]

Match descriptors 1:M.

Matches a reference descriptor to a batch of candidate descriptors. The results are layed out in the same order as the candidate descriptors in the batch.

Parameters:
[in]referencethe reference descriptor.
[in]candidatesthe candidate descriptor batch to match with the reference.
[out]resultsspan of matching results.
Note:
Length of `results` must be at least the same as the length of the candidates batch.
See also:
IDescriptorBatch::getMaxCount().
Returns:
Result with error code.
See also:
Span, MatchingResult, IDescriptor, IDescriptorBatch, Result and FSDKError for details.
Note:
all spans should be based on user owned continuous collections.

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