Step By Step
1、SDK获取,注意这里面需要使用新版SDK,实际也就是方法中带有:Advance的Request
您可以通过地址:https://mvnrepository.com/artifact/com.aliyun/SDK包名称 查看不同服务SDK的版本
如人脸识别的新版SDK:facebody20191230
https://mvnrepository.com/artifact/com.aliyun/facebody20191230
2、pom.xml
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.52</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.aliyun/facebody20191230 -->
<dependency>
<groupId>com.aliyun</groupId>
<artifactId>facebody20191230</artifactId>
<version>0.2.2</version>
</dependency>
3、Code Sample
import com.aliyun.facebody20191230.Client;
import com.aliyun.facebody20191230.models.*;
import com.aliyun.tearpc.models.Config;
import com.aliyun.teautil.models.RuntimeOptions;
import com.google.gson.Gson;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.InputStream;
public class demo {
public static void main(String[] args) throws Exception {
// accessKeyId、accessKeySecret 获取参考:https://yq.aliyun.com/articles/693979
Config config = new Config();
config.accessKeyId= "LTAIOZZg********";
// 你的 accessKeySecret
config.accessKeySecret= "v7CjUJCMk7j9aK****************";
config.regionId="cn-shanghai";
config.protocol = "https";
config.endpoint="facebody.cn-shanghai.aliyuncs.com";
Client client = new Client(config);
String filePath = "C:\\Users\\Administrator\\Desktop\\timg.jpg";
recognizeFaceAdvance(client, filePath);
}
/**
* 人脸属性识别
* @param client
* @param picPath 图片位置
*/
private static void recognizeFaceAdvance(Client client, String picPath)
{
RecognizeFaceAdvanceRequest recognizeFaceAdvanceRequest = new RecognizeFaceAdvanceRequest();
InputStream inputStream = null;
try {
inputStream = new FileInputStream(new File(picPath));
} catch (FileNotFoundException e) {
e.printStackTrace();
}
recognizeFaceAdvanceRequest.imageURLObject = inputStream;
try {
RecognizeFaceResponse recognizeFaceResponse = client.recognizeFaceAdvance(recognizeFaceAdvanceRequest,new RuntimeOptions());
System.out.println("人脸属性识别::");
System.out.println(new Gson().toJson(recognizeFaceResponse));
} catch (Exception e) {
e.printStackTrace();
}
}
}
4、Result
人脸属性识别::
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5、其它方法的调用类似,如果是使用本地图片,使用带有Advance名称的Request即可