com.tencentcloudapi.iai.v20200303.models

Class CompareFaceResponse

java.lang.Object

com.tencentcloudapi.common.AbstractModel

com.tencentcloudapi.iai.v20200303.models.CompareFaceResponse

public class CompareFaceResponse
extends AbstractModel

Constructor Summary

Constructors

Constructor and Description
CompareFaceResponse()
CompareFaceResponse(CompareFaceResponse 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.

Method Summary

Modifier and Type	Method and Description
String	getFaceModelVersion() Get Algorithm model version used for face recognition.
String	getRequestId() Get The unique request ID, which is returned for each request.
Float	getScore() Get Face similarity score between two images.
void	setFaceModelVersion(String FaceModelVersion) Set Algorithm model version used for face recognition.
void	setRequestId(String RequestId) Set The unique request ID, which is returned for each request.
void	setScore(Float Score) Set Face similarity score between two images.
void	toMap(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, getMultipartRequestParams, set, setParamArrayObj, setParamArraySimple, setParamObj, setParamSimple, toJsonString

Methods inherited from class java.lang.Object

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

Constructor Detail

CompareFaceResponse

public CompareFaceResponse()

CompareFaceResponse

public CompareFaceResponse(CompareFaceResponse 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.

Method Detail

getScore

public Float getScore()

Get Face similarity score between two images. The returned similarity score varies by algorithm version. If you need to verify whether the faces in the two images are the same person, then the 0.1%, 0.01%, and 0.001% FARs on v3.0 correspond to scores of 40, 50, and 60, respectively. Generally, if the score is above 50, it can be judged that they are the same person. The 0.1%, 0.01%, and 0.001% FARs on v2.0 correspond to scores of 70, 80, and 90, respectively. Generally, if the score is above 80, it can be judged that they are the same person. If you need to verify whether the faces in the two images are the same person, we recommend using the `VerifyFace` API.

Returns:

Score Face similarity score between two images. The returned similarity score varies by algorithm version. If you need to verify whether the faces in the two images are the same person, then the 0.1%, 0.01%, and 0.001% FARs on v3.0 correspond to scores of 40, 50, and 60, respectively. Generally, if the score is above 50, it can be judged that they are the same person. The 0.1%, 0.01%, and 0.001% FARs on v2.0 correspond to scores of 70, 80, and 90, respectively. Generally, if the score is above 80, it can be judged that they are the same person. If you need to verify whether the faces in the two images are the same person, we recommend using the `VerifyFace` API.

setScore

public void setScore(Float Score)

Set Face similarity score between two images. The returned similarity score varies by algorithm version. If you need to verify whether the faces in the two images are the same person, then the 0.1%, 0.01%, and 0.001% FARs on v3.0 correspond to scores of 40, 50, and 60, respectively. Generally, if the score is above 50, it can be judged that they are the same person. The 0.1%, 0.01%, and 0.001% FARs on v2.0 correspond to scores of 70, 80, and 90, respectively. Generally, if the score is above 80, it can be judged that they are the same person. If you need to verify whether the faces in the two images are the same person, we recommend using the `VerifyFace` API.

Parameters:

Score - Face similarity score between two images. The returned similarity score varies by algorithm version. If you need to verify whether the faces in the two images are the same person, then the 0.1%, 0.01%, and 0.001% FARs on v3.0 correspond to scores of 40, 50, and 60, respectively. Generally, if the score is above 50, it can be judged that they are the same person. The 0.1%, 0.01%, and 0.001% FARs on v2.0 correspond to scores of 70, 80, and 90, respectively. Generally, if the score is above 80, it can be judged that they are the same person. If you need to verify whether the faces in the two images are the same person, we recommend using the `VerifyFace` API.

getFaceModelVersion

public String getFaceModelVersion()

Get Algorithm model version used for face recognition.

Returns:

FaceModelVersion Algorithm model version used for face recognition.

setFaceModelVersion

public void setFaceModelVersion(String FaceModelVersion)

Set Algorithm model version used for face recognition.

Parameters:

FaceModelVersion - Algorithm model version used for face recognition.

getRequestId

public String getRequestId()

Get The unique request ID, which is returned for each request. RequestId is required for locating a problem.

Returns:

RequestId The unique request ID, which is returned for each request. RequestId is required for locating a problem.

setRequestId

public void setRequestId(String RequestId)

Set The unique request ID, which is returned for each request. RequestId is required for locating a problem.

Parameters:

RequestId - The unique request ID, which is returned for each request. RequestId is required for locating a problem.

toMap

public void toMap(HashMap<String,String> map,
                  String prefix)

Internal implementation, normal users should not use it.

Specified by:

toMap in class AbstractModel