五分钟快速接入人脸识别能力之人脸搜索

 <dependency>
            <groupId>com.tencentcloudapi</groupId>
            <artifactId>tencentcloud-sdk-java</artifactId>
            <!-- go to https://search.maven.org/search?q=tencentcloud-sdk-java and get the latest version. -->
            <!-- 请到https://search.maven.org/search?q=tencentcloud-sdk-java查询所有版本，最新版本如下 -->
            <version>3.1.322</version>
        </dependency>       

import com.tencentcloudapi.common.Credential;
import com.tencentcloudapi.common.profile.ClientProfile;
import com.tencentcloudapi.common.profile.HttpProfile;
import com.tencentcloudapi.common.exception.TencentCloudSDKException;
import com.tencentcloudapi.iai.v20200303.IaiClient;
import com.tencentcloudapi.iai.v20200303.models.*;

public class SearchPersons{
    public static void main(String [] args) {
        try{
            // 实例化一个认证对象，入参需要传入腾讯云账户secretId，secretKey,此处还需注意密钥对的保密
            // 密钥可前往https://console.cloud.tencent.com/cam/capi网站进行获取，参考本篇文章步骤1中
            Credential cred = new Credential("SecretId", "SecretKey");
            // 实例化一个http选项，可选的，没有特殊需求可以跳过
            HttpProfile httpProfile = new HttpProfile();
            httpProfile.setEndpoint("iai.tencentcloudapi.com");
            // 实例化一个client选项，可选的，没有特殊需求可以跳过
            ClientProfile clientProfile = new ClientProfile();
            clientProfile.setHttpProfile(httpProfile);
            // 实例化要请求产品的client对象,clientProfile是可选的
            IaiClient client = new IaiClient(cred, "ap-beijing", clientProfile);
            // 实例化一个请求对象,每个接口都会对应一个request对象
            SearchPersonsRequest req = new SearchPersonsRequest();
            String[] groupIds1 = {"zfc-face"};
            req.setGroupIds(groupIds1);
            //待检测图片
            req.setImage("data:image/jpg;base64,/9j/4A");
            // 返回的resp是一个SearchPersonsResponse的实例，与请求对象对应
            SearchPersonsResponse resp = client.SearchPersons(req);
            // 输出json格式的字符串回包
            System.out.println(SearchPersonsResponse.toJsonString(resp));
            Result[] result=resp.getResults();
            for (int i=0;i<result.length;i++){
                Candidate candidates[]= result[i].getCandidates();
                Candidate person=candidates[0];
                Float compare=person.getScore();
                //匹配结果，根据人脸库大小判断准确度的阈值
                if(compare>80f){
                    person.getPersonId();
                    System.out.println(person.getPersonId());
                }else {
                    //return null;
                    System.out.println("未识别出来");
                }
            }
        } catch (TencentCloudSDKException e) {
            System.out.println(e.toString());
        }
    }
}

{
	"Results": [{
		"Candidates": [{
			"PersonId": "sysman",
			"FaceId": "",
			"Score": 100.0
		}, {
			"PersonId": "2",
			"FaceId": "",
			"Score": 94.44817
		}, {
			"PersonId": "1",
			"FaceId": "",
			"Score": 4.404487
		}],
		"FaceRect": {
			"X": 84,
			"Y": 112,
			"Width": 206,
			"Height": 251
		},
		"RetCode": 0
	}],
	"PersonNum": 3,
	"FaceModelVersion": "3.0",
	"RequestId": "1fa8e80b-ca8e-40be-92b2-7971b771f73c"
}