阿里云视觉智能开放平台--人脸识别使用教程(使用本地图片)-低调大师

阿里云视觉智能开放平台--人脸识别使用教程(使用本地图片)

2020-04-27 1163

概述

前面在博客：阿里云视觉智能开放平台--人脸识别使用教程介绍了如何在智能视觉开放平台使用人脸识别的接口，示例主要演示了1:N人脸查找的使用流程，使用的是OSS的图片，发现很多同学对本地图片的使用疑问较多，这里以人脸属性识别API为例演示如何使用本地图片。

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

使用Blink CEP实现差值聚合计算

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