Class DetectLiveFaceAccurateResponse
- java.lang.Object
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- com.tencentcloudapi.common.AbstractModel
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- com.tencentcloudapi.iai.v20200303.models.DetectLiveFaceAccurateResponse
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public class DetectLiveFaceAccurateResponse extends AbstractModel
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Field Summary
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Fields inherited from class com.tencentcloudapi.common.AbstractModel
header, skipSign
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Constructor Summary
Constructors Constructor Description DetectLiveFaceAccurateResponse()DetectLiveFaceAccurateResponse(DetectLiveFaceAccurateResponse source)NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description StringgetFaceModelVersion()Get 人脸识别所用的算法模型版本。StringgetRequestId()Get 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。FloatgetScore()Get 活体打分,取值范围 [0,100],根据活体分数对应的阈值区间来判断是否为翻拍。目前阈值可分为[5,10,40,70,90],其中推荐阈值为40。voidsetFaceModelVersion(String FaceModelVersion)Set 人脸识别所用的算法模型版本。voidsetRequestId(String RequestId)Set 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。voidsetScore(Float Score)Set 活体打分,取值范围 [0,100],根据活体分数对应的阈值区间来判断是否为翻拍。目前阈值可分为[5,10,40,70,90],其中推荐阈值为40。voidtoMap(HashMap<String,String> map, String prefix)Internal implementation, normal users should not use it.-
Methods inherited from class com.tencentcloudapi.common.AbstractModel
any, fromJsonString, getBinaryParams, GetHeader, getMultipartRequestParams, getSkipSign, set, SetHeader, setParamArrayObj, setParamArraySimple, setParamObj, setParamSimple, setSkipSign, toJsonString
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Constructor Detail
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DetectLiveFaceAccurateResponse
public DetectLiveFaceAccurateResponse()
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DetectLiveFaceAccurateResponse
public DetectLiveFaceAccurateResponse(DetectLiveFaceAccurateResponse source)
NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
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Method Detail
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getScore
public Float getScore()
Get 活体打分,取值范围 [0,100],根据活体分数对应的阈值区间来判断是否为翻拍。目前阈值可分为[5,10,40,70,90],其中推荐阈值为40。- Returns:
- Score 活体打分,取值范围 [0,100],根据活体分数对应的阈值区间来判断是否为翻拍。目前阈值可分为[5,10,40,70,90],其中推荐阈值为40。
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setScore
public void setScore(Float Score)
Set 活体打分,取值范围 [0,100],根据活体分数对应的阈值区间来判断是否为翻拍。目前阈值可分为[5,10,40,70,90],其中推荐阈值为40。- Parameters:
Score- 活体打分,取值范围 [0,100],根据活体分数对应的阈值区间来判断是否为翻拍。目前阈值可分为[5,10,40,70,90],其中推荐阈值为40。
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getFaceModelVersion
public String getFaceModelVersion()
Get 人脸识别所用的算法模型版本。- Returns:
- FaceModelVersion 人脸识别所用的算法模型版本。
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setFaceModelVersion
public void setFaceModelVersion(String FaceModelVersion)
Set 人脸识别所用的算法模型版本。- Parameters:
FaceModelVersion- 人脸识别所用的算法模型版本。
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getRequestId
public String getRequestId()
Get 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。- Returns:
- RequestId 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
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setRequestId
public void setRequestId(String RequestId)
Set 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。- Parameters:
RequestId- 唯一请求 ID,每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
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