乾貨 | AI人臉識別之人臉搜索

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本文檔將利用京東雲AI SDK來實踐人臉識別中的人臉搜索功能,主要涉及到分組建立/刪除、分組列表獲取、人臉建立/刪除、人臉搜索,本次實操的最終效果是:建立一我的臉庫,拿一張圖片在人臉庫中搜索出類似度最高的一張,實現1:N的人臉識別,操做示意圖以下:

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1、準備工做

1. 建立AK/SKhtml

登錄京東雲控制檯:console.jdcloud.com,點擊右上角帳戶AccessKey 管理,接着如圖點擊建立Access Keyjava

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2. 購買人臉搜索服務

人臉搜索經過 API 調用次數計費,目前人臉搜索功能有0元免費試用,調用量限制爲13api

咱們登錄到京東雲控制檯,依次點擊左側導航人工智能-人臉識別-人臉搜索,點擊當即購買完成購買操做。bash

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3.下載SDK

購買完成後,返回人臉搜索的控制檯,如圖點擊下載SDK完成京東雲AI SDK的下載操做eclipse

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4.下載Eclipse並安裝

Eclipse下載地址:www.eclipse.org/downloads/,…ui

2、實操開始

1.新建JAVA項目google

打開Eclipse,依次點擊File-New-Java Project,輸入Project name以下圖設置後,點擊Finish-Don't Create人工智能

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右擊JAVA項目中的src目錄,依次點擊new-Package

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接下來咱們分別建立分組建立(faceGroupCreate)/刪除(faceGroupDelete)、分組列表獲取(getFaceGroupList)、人臉建立(faceCreate)/刪除(faceDelete)、人臉搜索(faceSearch)相關的(類)Class,新建Class的方法以下:

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所有Class建立完成後以下圖:

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2.裝載京東雲AI SDK

將咱們下載好的京東雲AI SDK解壓,而後複製到咱們新建的JAVA項目的根目錄裏spa

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刷新Eclipse中的Package Explorer即可看到咱們複製進來的京東雲AI SDK文件,選中所有jar包文件,右擊,依次點擊Build Path-Add to Build Path來從新構建路徑(Build Path)

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從新構建路徑完成後,咱們在Eclipse的Package Explorer中可看到Referenced Libraries,裏面包含咱們重構路徑的全部jar包

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3.調試接口

建立分組(faceGroupCreate)3d

在faceGroupCreate類中輸入以下內容做爲調試代碼

package facesearch;
 
 import com.jdcloud.apigateway.signature.JdcloudSDKClient;
 import com.jdcloud.sdk.utils.BinaryUtils;
 import com.google.api.client.http.HttpResponse;
 import java.io.IOException;
 import java.util.HashMap;
 import java.util.Map;
 
import static com.jdcloud.sdk.http.Protocol.HTTP;

//建立分組
public class faceGroupCreate {
    public static void main(String[] args) {
        String accessKey = "請輸入您的AK";
        String secretKey = "請輸入您的SK";
        String endPoint = "aiapi.jdcloud.com";
        String path = "/jdai/faceGroupCreate";
        String method = "POST";
        Map<String, String> headers = new HashMap<>();
        Map<String, Object> queryMap = new HashMap<>();
        //queryMap.put("groupId", "10");
        queryMap.put("groupName", "請輸入分組名稱");
        queryMap.put("groupInfo", "請輸入分組描述");
        String body = "\"\"";
        try {
            HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
                endPoint, path, method, headers, queryMap, body);
            System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
        } catch (IOException e) {
            System.out.println(e.getMessage());
        }
    }
}
複製代碼

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右擊代碼依次點擊Run as-1 Java Application運行代碼

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運行後發現報錯信息以下( 這裏雖然有報錯,但咱們定義的名稱爲請輸入分組名稱的組已成功建立):

SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See www.slf4j.org/codes.html#… for further details.

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由此咱們能夠看出,報出錯誤的地方主要是slf4j的jar包,而故障碼中Failed to load class "org.slf4j.impl.StaticLoggerBinder"的意思則是加載類文件org.slf4j.impl.StaticLoggerBinder時失敗

咱們下載slf4j-nop.jar,而後像添加AI SDK jar包同樣添加到build path中便可解決問題,slf4j-nop.jarjar包我已打包上傳到京東雲對象存儲,下載地址爲:pocenv-hcc.s3.cn-north-1.jdcloud-oss.com/slf4j-nop-1…

將slf4j包下載後複製到京東雲AI SDK文件夾裏,而後在Eclipse內添加到構建路徑裏便可

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接下來依次建立其餘類文件

注意: 以下代碼中涉及到String body = "imageBase64=";的部分

  • 須要先將圖片轉換爲Base64,轉換地址爲:imgbase64.duoshitong.com/;
  • 而後將轉換後的代碼複製到imageBase64=以後(轉換後的代碼需去除掉「data:image/jpeg;base64,」後再複製)。

刪除分組(faceGroupDelete

package facesearch;

import com.jdcloud.apigateway.signature.JdcloudSDKClient;
import com.jdcloud.sdk.utils.BinaryUtils;
import com.google.api.client.http.HttpResponse;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
 
import static com.jdcloud.sdk.http.Protocol.HTTP;

//刪除分組
public class faceGroupDelete {
    public static void main(String[] args) {
        String accessKey = "請輸入您的AK";
        String secretKey = "請輸入您的SK";
        String endPoint = "aiapi.jdcloud.com";
        String path = "/jdai/faceGroupDelete";
        String method = "POST";
        Map<String, String> headers = new HashMap<>();
        Map<String, Object> queryMap = new HashMap<>();
        //queryMap.put("groupId", "10");
        queryMap.put("groupName", "請輸入分組名稱");
        String body = "{}";
        try {
            HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
                endPoint, path, method, headers, queryMap, body);
            System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
        } catch (IOException e) {
           System.out.println(e.getMessage());
        }
    }
}
複製代碼

分組列表獲取(getFaceGroupList

package facesearch;

import com.jdcloud.apigateway.signature.JdcloudSDKClient;
import com.jdcloud.sdk.utils.BinaryUtils;
import com.google.api.client.http.HttpResponse;
 import java.io.IOException;
import java.util.HashMap;
 import java.util.Map;

import static com.jdcloud.sdk.http.Protocol.HTTP;

//獲取分組列表
public class getFaceGroupList {
    public static void main(String[] args) {
        String accessKey = "請輸入您的AK";
       String secretKey = "請輸入您的SK";
        String endPoint = "aiapi.jdcloud.com";
        String path = "/jdai/getFaceGroupList";
        String method = "POST";
      Map<String, String> headers = new HashMap<>();
        Map<String, Object> queryMap = new HashMap<>();
        queryMap.put("start", "0");
        queryMap.put("length", "5");
        String body = "aaa";
        try {
            HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
                endPoint, path, method, headers, queryMap, body);
            System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
        } catch (IOException e) {
            System.out.println(e.getMessage());
        }
    }
}
複製代碼

人臉建立(faceCreate

package facesearch;

import com.jdcloud.apigateway.signature.JdcloudSDKClient;
import com.jdcloud.sdk.utils.BinaryUtils;
import com.google.api.client.http.HttpResponse;
 import java.io.IOException;
 import java.util.HashMap;
 import java.util.Map;
 
import static com.jdcloud.sdk.http.Protocol.HTTP;

//建立人臉
public class faceCreate {
    public static void main(String[] args) {
        String accessKey = "請輸入您的AK";
        String secretKey = "請輸入您的SK";
        String endPoint = "aiapi.jdcloud.com";
        String path = "/jdai/faceCreate";
        String method = "POST";
        //建立
        Map<String, String> dataMap = new HashMap<>();
        //在線圖片轉base64:http://imgbase64.duoshitong.com/
       dataMap.put("marin1", "imageBase64=圖片轉換爲Base64後的代碼(去掉前面的data:image/jpeg;base64,)");
        dataMap.put("marin2", "imageBase64=圖片轉換爲Base64後的代碼(去掉前面的data:image/jpeg;base64,)");
        dataMap.put("corona", "imageBase64=圖片轉換爲Base64後的代碼(去掉前面的data:image/jpeg;base64,)");
        dataMap.put("dog", "imageBase64=圖片轉換爲Base64後的代碼(去掉前面的data:image/jpeg;base64,)");
        Map<String, String> headers = new HashMap<>();
        Map<String, Object> queryMap = new HashMap<>();
        queryMap.put("groupName", "請輸入分組名稱");
        String body;
        for (Map.Entry<String, String> entry: dataMap.entrySet()){
            queryMap.put("outerId", entry.getKey());
            body = entry.getValue();
            try {
                HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
                    endPoint, path, method, headers, queryMap, body);
                System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
            } catch (IOException e) {
                System.out.println(e.getMessage());
            }
            queryMap.remove("outerId");
        }
    }
}
複製代碼

人臉刪除(faceDelete

package facesearch;

import com.jdcloud.apigateway.signature.JdcloudSDKClient;
import com.jdcloud.sdk.utils.BinaryUtils;
import com.google.api.client.http.HttpResponse;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;

import static com.jdcloud.sdk.http.Protocol.HTTP;

//刪除人臉
public class faceDelete {
   public static void main(String[] args) {
        String accessKey = "請輸入您的AK";
        String secretKey = "請輸入您的SK";
        String endPoint = "aiapi.jdcloud.com";
        String path = "/jdai/faceDelete";
        String method = "POST";
       Map<String, String> headers = new HashMap<>();
        Map<String, Object> queryMap = new HashMap<>();
        queryMap.put("groupName", "請輸入分組名稱");
        queryMap.put("outerId", "marin1");
        queryMap.put("outerId", "marin2");
        queryMap.put("outerId", "corona");
       queryMap.put("outerId", "dog");
        String body = "{}";
        try {
           HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
                endPoint, path, method, headers, queryMap, body);
            System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
        } catch (IOException e) {
            System.out.println(e.getMessage());
       }
    }
}
複製代碼

人臉搜索(faceSearch

package facesearch;

import com.jdcloud.apigateway.signature.JdcloudSDKClient;
import com.jdcloud.sdk.utils.BinaryUtils;
import com.google.api.client.http.HttpResponse;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;

import static com.jdcloud.sdk.http.Protocol.HTTP;

//人臉搜索
public class faceSearch {
    public static void main(String[] args) {
        String accessKey = "請輸入您的AK";
        String secretKey = "請輸入您的SK";
        String endPoint = "aiapi.jdcloud.com";
        String path = "/jdai/faceSearch";
        String method = "POST";
       Map<String, String> headers = new HashMap<>();
        Map<String, Object> queryMap = new HashMap<>();
        queryMap.put("groupName", "請輸入分組名稱");
        //以下填寫同一人的第三張人臉Base64代碼進行人臉搜索,這裏用人臉marin.jpg
        String body = "imageBase64=圖片轉換爲Base64後的代碼(去掉前面的data:image/jpeg;base64,)";
        try {
           HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
                endPoint, path, method, headers, queryMap, body);
            System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
        } catch (IOException e) {
            System.out.println(e.getMessage());
        }
    }
}
複製代碼

4.進行演示

以下演示都經過右擊對應的代碼執行Run as-1 Java Application來運行代碼查看結果

建立分組

運行faceGroupCreate.java,結果以下:

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獲取分組列表

運行getFaceGroupList.java,結果以下:

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建立人臉庫

運行faceCreate.java,結果以下:

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人臉搜索

運行faceSearch.java,結果以下:

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刪除人臉

運行faceDelete.java,結果以下:

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刪除分組

運行faceGroupDelete.java,結果以下:

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如上,咱們經過marin1.jpg、marin2.jpg、corona.jpg、dog.jpg建立了人臉庫,最後經過marin.jpg將類似度最高的marin1.jpg搜索了出來,至此,操做演示完畢~~

點擊「京東雲」瞭解京東雲人臉對比

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