腾讯云【人脸识别】服务的一次尝试（JAVA）_tencentcloud-sdk-java-iai

背景

人脸识别是人工智能智能领域中应用最广泛的服务之一。个人认为，人脸识别也是目前人工智能领域中技术最成熟的技术之一。各大云服务厂商均开通了人脸识别的服务。

那就来尝尝吧。。

登陆注册->找到人脸识别服务

登陆的过程就不说了。很久以前我就有腾讯云账号了，现在微信扫一扫二维码就能登陆了。在藤须品首页就可以找到人脸识别服务。

 开通人脸识别服务

点击入门按钮，来到指导页面 。点击云控制台的连接，能够直接跳到开通页面，点击开通按钮。人脸识别服务就开通了。

或者去自己找到界面

 

 人脸识别应用

（1）配置JAVA环境，maven环境，新建maven工程。

这里面要配置一下腾讯的SDK，也就是引包，先去这个网站上面查一下，版本号。

https://search.maven.org/search?q=tencentcloud-sdk-java

这里面发现现在的版本号是3.1.46,那么maven文件当中对应的就是

    <dependency>
            <groupId>com.tencentcloudapi</groupId>
            <artifactId>tencentcloud-sdk-java</artifactId>
            <version>3.1.46</version>
    </dependency>

（2）编码

通过API Explorer进行编码，点开之后找到人脸发现的API，并在个人密钥处输入自己的密钥。

刚来使用的小伙伴肯定不知道密钥去哪找，但刚好在输入框上边有一个连接可以直接点过去。

然后去仔细看看参数的内容要输入哪些。仔细看看，其实只有region和图片是必要的。

region的话选择一个就可以了。

但是图片可以是个连接，也可以是个URL，但要存储在腾讯云中。这里面选择直接用Base64的图片字符串好了。

 如果直接输入图片的字符串，那将会是这样，复制起来，简直累晕了。

并且运行起来也会有问题。

所以，暂时不填图片信息，在代码里面进行修改。将如下代码复制到IDEA

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.v20180301.IaiClient;
 
import com.tencentcloudapi.iai.v20180301.models.DetectFaceRequest;
import com.tencentcloudapi.iai.v20180301.models.DetectFaceResponse;
 
public class DetectFace {
    public static void main(String[] args) {
        try {
 
            Credential cred = new Credential("XXXXXXXXXXXXXXx", "XXXXXXXXx");
 
            HttpProfile httpProfile = new HttpProfile();
            httpProfile.setEndpoint("iai.tencentcloudapi.com");
 
            ClientProfile clientProfile = new ClientProfile();
            clientProfile.setHttpProfile(httpProfile);
 
            IaiClient client = new IaiClient(cred, "ap-beijing", clientProfile);
 
            String params = "{}";
            DetectFaceRequest req = DetectFaceRequest.fromJsonString(params, DetectFaceRequest.class);
 
            DetectFaceResponse resp = client.DetectFace(req);
 
            System.out.println(DetectFaceRequest.toJsonString(resp));
        } catch (TencentCloudSDKException e) {
            System.out.println(e.toString());
        }
 
    }
 
}

 （3）修改

十分关键的一步，目的有两个：

其一是，将图片转为BASE64的String，构造params

其二是，利用识别的结果，标注人脸。

用到了json的包

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>fastjson</artifactId>
    <version>1.2.68</version>
</dependency>

代码如下。

 
import com.alibaba.fastjson.JSON;
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.v20180301.IaiClient;
import com.tencentcloudapi.iai.v20180301.models.DetectFaceRequest;
import com.tencentcloudapi.iai.v20180301.models.DetectFaceResponse;
import com.tencentcloudapi.iai.v20180301.models.FaceInfo;
import sun.misc.BASE64Encoder;
 
 
import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.util.HashMap;
 
public class DetectFace {
    public static void main(String[] args) {
        try {
 
            String imageUrl = "/Users/yuchk/Desktop/haha.png";
            String markImageUrl = "/Users/yuchk/Desktop/haha_res.png";
 
            // 替换自己的密钥
            Credential cred = new Credential("XX", "XX");
 
            HttpProfile httpProfile = new HttpProfile();
            httpProfile.setEndpoint("iai.tencentcloudapi.com");
 
            ClientProfile clientProfile = new ClientProfile();
            clientProfile.setHttpProfile(httpProfile);
 
            IaiClient client = new IaiClient(cred, "ap-beijing", clientProfile);
 
            HashMap map = new HashMap<String, String>(8);
            String image = getBase64Image(imageUrl);
            map.put("Image", image);
            map.put("NeedQualityDetection", "1");
            String params = JSON.toJSONString(map);
            DetectFaceRequest req = DetectFaceRequest.fromJsonString(params, DetectFaceRequest.class);
            DetectFaceResponse resp = client.DetectFace(req);
            System.out.println(DetectFaceRequest.toJsonString(resp));
 
            FaceInfo[] faceInfos = resp.getFaceInfos();
            long height = faceInfos[0].getHeight();
            long width = faceInfos[0].getWidth();
            long x = faceInfos[0].getX();
            long y = faceInfos[0].getY();
            // 将人脸标注起来
 
            BufferedImage bufferedImage = ImageIO.read(new File(imageUrl));
            Graphics g = bufferedImage.getGraphics();
            g.setColor(Color.RED);
            //矩形框(原点x坐标，原点y坐标，矩形的长，矩形的宽)
            g.drawRect((int) x, (int) y, (int) width, (int) height);
            g.dispose();
            FileOutputStream out = new FileOutputStream(markImageUrl);
            ImageIO.write(bufferedImage, "png", out);
 
        } catch (TencentCloudSDKException | IOException e) {
            System.out.println(e.toString());
        }
 
    }
 
    private static String getBase64Image(String url) {
 
        try {
            return getBase64Image(new FileInputStream(url));
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        }
        return null;
    }
 
    private static String getBase64Image(FileInputStream inputStream) {
        try {
 
            byte[] data = new byte[inputStream.available()];
            inputStream.read(data);
            inputStream.close();
            BASE64Encoder encoder = new BASE64Encoder();
            return encoder.encode(data);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return null;
 
    }
 
}

结果

{"ImageWidth":509,"ImageHeight":429,"FaceInfos":[{"X":152,"Y":51,"Width":135,"Height":175,"FaceAttributesInfo":{"Gender":0,"Age":0,"Expression":0,"Glass":false,"Pitch":0,"Yaw":0,"Roll":0,"Beauty":0,"Hat":false,"Mask":false,"Hair":{"Length":0,"Bang":0,"Color":0},"EyeOpen":false},"FaceQualityInfo":{"Score":84,"Sharpness":61,"Brightness":43,"Completeness":{"Eyebrow":87,"Eye":92,"Nose":97,"Cheek":89,"Mouth":99,"Chin":94}}}],"FaceModelVersion":"3.0","RequestId":"xxxxxxxxxx"}