com.aliyun.cloudauth20190307.models

类 CompareFacesResponseBody.CompareFacesResponseBodyData

java.lang.Object

com.aliyun.tea.TeaModel

com.aliyun.cloudauth20190307.models.CompareFacesResponseBody.CompareFacesResponseBodyData

封闭类:

CompareFacesResponseBody

public static class CompareFacesResponseBody.CompareFacesResponseBodyData
extends com.aliyun.tea.TeaModel

字段概要

字段

限定符和类型	字段和说明
String	confidenceThresholds Confidence thresholds for face comparison.
Float	similarityScore The degree of similarity between the faces in the two images.

构造器概要

构造器

构造器和说明
CompareFacesResponseBodyData()

方法概要

限定符和类型	方法和说明
static CompareFacesResponseBody.CompareFacesResponseBodyData	build(Map<String,?> map)
String	getConfidenceThresholds()
Float	getSimilarityScore()
CompareFacesResponseBody.CompareFacesResponseBodyData	setConfidenceThresholds(String confidenceThresholds)
CompareFacesResponseBody.CompareFacesResponseBodyData	setSimilarityScore(Float similarityScore)

从类继承的方法 com.aliyun.tea.TeaModel

build, buildMap, confirmType, confirmType, parseObject, toMap, toMap, toModel, validate, validateParams

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

字段详细资料

confidenceThresholds

@NameInMap(value="ConfidenceThresholds")
public String confidenceThresholds

Confidence thresholds for face comparison. The returned content is a JSON Object, with the specific structure being "key":"value".

• key represents the false acceptance rate, which is the probability of misidentifying someone else as the specified person.
• value is the corresponding threshold.

Regarding the confidence thresholds (confidenceThresholds) in the example:

• "0.0001": "90.07" indicates that the threshold is 90.07 when the false acceptance rate is 0.01%.
• "0.001": "80.01" indicates that the threshold is 80.01 when the false acceptance rate is 0.1%.
• "0.01": "70.02" indicates that the threshold is 70.02 when the false acceptance rate is 1%.

Confidence thresholds are dynamically provided based on different images and algorithms, so do not persist these thresholds.

example:

{"0.0001":"90.07","0.001":"80.01","0.01":"70.02"}

similarityScore

@NameInMap(value="SimilarityScore")
public Float similarityScore

The degree of similarity between the faces in the two images. The value range is [0, 100], with higher values indicating greater similarity.

example:

98.7913

构造器详细资料

CompareFacesResponseBodyData

public CompareFacesResponseBodyData()

方法详细资料

build

public static CompareFacesResponseBody.CompareFacesResponseBodyData build(Map<String,?> map)
                                                                   throws Exception

抛出:

Exception

setConfidenceThresholds

public CompareFacesResponseBody.CompareFacesResponseBodyData setConfidenceThresholds(String confidenceThresholds)

getConfidenceThresholds

public String getConfidenceThresholds()

setSimilarityScore

public CompareFacesResponseBody.CompareFacesResponseBodyData setSimilarityScore(Float similarityScore)

getSimilarityScore

public Float getSimilarityScore()