3.调试接口
创建分组（faceGroupCreate）
在
faceGroupCreate类中输入如下内容作为调试代码
1package facesearch;
2
3import com.jdcloud.apigateway.signature.JdcloudSDKClient;
4import com.jdcloud.sdk.utils.BinaryUtils;
5import com.google.api.client.http.HttpResponse;
6import java.io.IOException;
7import java.util.HashMap;
8import java.util.Map;
9
10import static com.jdcloud.sdk.http.Protocol.HTTP;
11
12//创建分组
13public class faceGroupCreate {
14 public static void main(String[] args) {
15 String accessKey = "请输入您的AK";
16 String secretKey = "请输入您的SK";
17 String endPoint = "aiapi.jdcloud.com";
18 String path = "/jdai/faceGroupCreate";
19 String method = "POST";
20 Map headers = new HashMap<>();
21 Map queryMap = new HashMap<>();
22 //queryMap.put("groupId", "10");
23 queryMap.put("groupName", "请输入分组名称");
24 queryMap.put("groupInfo", "请输入分组描述");
25 String body = "\"\"";
26 try {
27 HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
28 endPoint, path, method, headers, queryMap, body);
29 System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
30 } catch (IOException e) {
31 System.out.println(e.getMessage());
32 }
33 }
34}
右击代码依次点击
Run as-
1 Java Application运行代码
运行后发现报错信息如下（
这里虽然有报错，但我们定义的名称为
请输入分组名称
的组已成功创建）：
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
由此我们可以看出，报出错误的地方主要是slf4j的jar包，而故障码中
Failed to load class "org.slf4j.impl.StaticLoggerBinder"的意思则是
加载类文件org.slf4j.impl.StaticLoggerBinder时失败
我们下载
slf4j-nop.jar，然后像添加AI SDK jar包一样添加到build path中即可解决问题，
slf4j-nop.jarjar包我已打包上传到京东云对象存储，下载地址为：https://pocenv-hcc.s3.cn-north-1.jdcloud-oss.com/slf4j-nop-1.7.28.jar
将slf4j包下载后复制到京东云AI SDK文件夹里，然后在Eclipse内添加到构建路径里即可
注意：如下代码中涉及到
String body = "imageBase64=";的部分
需要先将图片转换为Base64，转换地址为：http://imgbase64.duoshitong.com/；
然后将转换后的代码复制到
imageBase64=之后（转换后的代码需去除掉“
data:image/jpeg;base64,”后再复制）。
删除分组（`faceGroupDelete`）
1package facesearch;
2
3import com.jdcloud.apigateway.signature.JdcloudSDKClient;
4import com.jdcloud.sdk.utils.BinaryUtils;
5import com.google.api.client.http.HttpResponse;
6import java.io.IOException;
7import java.util.HashMap;
8import java.util.Map;
9
10import static com.jdcloud.sdk.http.Protocol.HTTP;
11
12//删除分组
13public class faceGroupDelete {
14 public static void main(String[] args) {
15 String accessKey = "请输入您的AK";
16 String secretKey = "请输入您的SK";
17 String endPoint = "aiapi.jdcloud.com";
18 String path = "/jdai/faceGroupDelete";
19 String method = "POST";
20 Map headers = new HashMap<>();
21 Map queryMap = new HashMap<>();
22 //queryMap.put("groupId", "10");
23 queryMap.put("groupName", "请输入分组名称");
24 String body = "{}";
25 try {
26 HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
27 endPoint, path, method, headers, queryMap, body);
28 System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
29 } catch (IOException e) {
30 System.out.println(e.getMessage());
31 }
32 }
33}
分组列表获取（`getFaceGroupList`）
1package facesearch;
2
3import com.jdcloud.apigateway.signature.JdcloudSDKClient;
4import com.jdcloud.sdk.utils.BinaryUtils;
5import com.google.api.client.http.HttpResponse;
6import java.io.IOException;
7import java.util.HashMap;
8import java.util.Map;
9
10import static com.jdcloud.sdk.http.Protocol.HTTP;
11
12//获取分组列表
13public class getFaceGroupList {
14 public static void main(String[] args) {
15 String accessKey = "请输入您的AK";
16 String secretKey = "请输入您的SK";
17 String endPoint = "aiapi.jdcloud.com";
18 String path = "/jdai/getFaceGroupList";
19 String method = "POST";
20 Map headers = new HashMap<>();
21 Map queryMap = new HashMap<>();
22 queryMap.put("start", "0");
23 queryMap.put("length", "5");
24 String body = "aaa";
25 try {
26 HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
27 endPoint, path, method, headers, queryMap, body);
28 System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
29 } catch (IOException e) {
30 System.out.println(e.getMessage());
31 }
32 }
33}
人脸创建（`faceCreate`）
1package facesearch;
2
3import com.jdcloud.apigateway.signature.JdcloudSDKClient;
4import com.jdcloud.sdk.utils.BinaryUtils;
5import com.google.api.client.http.HttpResponse;
6import java.io.IOException;
7import java.util.HashMap;
8import java.util.Map;
9
10import static com.jdcloud.sdk.http.Protocol.HTTP;
11
12//创建人脸
13public class faceCreate {
14 public static void main(String[] args) {
15 String accessKey = "请输入您的AK";
16 String secretKey = "请输入您的SK";
17 String endPoint = "aiapi.jdcloud.com";
18 String path = "/jdai/faceCreate";
19 String method = "POST";
20 //创建
21 Map dataMap = new HashMap<>();
22 //在线图片转base64：http://imgbase64.duoshitong.com/
23 dataMap.put("marin1", "imageBase64=图片转换为Base64后的代码（去掉前面的data:image/jpeg;base64,）");
24 dataMap.put("marin2", "imageBase64=图片转换为Base64后的代码（去掉前面的data:image/jpeg;base64,）");
25 dataMap.put("corona", "imageBase64=图片转换为Base64后的代码（去掉前面的data:image/jpeg;base64,）");
26 dataMap.put("dog", "imageBase64=图片转换为Base64后的代码（去掉前面的data:image/jpeg;base64,）");
27 Map headers = new HashMap<>();
28 Map queryMap = new HashMap<>();
29 queryMap.put("groupName", "请输入分组名称");
30 String body;
31 for (Map.Entry entry: dataMap.entrySet()){
32 queryMap.put("outerId", entry.getKey());
33 body = entry.getValue();
34 try {
35 HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
36 endPoint, path, method, headers, queryMap, body);
37 System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
38 } catch (IOException e) {
39 System.out.println(e.getMessage());
40 }
41 queryMap.remove("outerId");
42 }
43 }
44}
人脸删除（`faceDelete`）
1package facesearch;
2
3import com.jdcloud.apigateway.signature.JdcloudSDKClient;
4import com.jdcloud.sdk.utils.BinaryUtils;
5import com.google.api.client.http.HttpResponse;
6import java.io.IOException;
7import java.util.HashMap;
8import java.util.Map;
9
10import static com.jdcloud.sdk.http.Protocol.HTTP;
11
12//删除人脸
13public class faceDelete {
14 public static void main(String[] args) {
15 String accessKey = "请输入您的AK";
16 String secretKey = "请输入您的SK";
17 String endPoint = "aiapi.jdcloud.com";
18 String path = "/jdai/faceDelete";
19 String method = "POST";
20 Map headers = new HashMap<>();
21 Map queryMap = new HashMap<>();
22 queryMap.put("groupName", "请输入分组名称");
23 queryMap.put("outerId", "marin1");
24 queryMap.put("outerId", "marin2");
25 queryMap.put("outerId", "corona");
26 queryMap.put("outerId", "dog");
27 String body = "{}";
28 try {
29 HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
30 endPoint, path, method, headers, queryMap, body);
31 System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
32 } catch (IOException e) {
33 System.out.println(e.getMessage());
34 }
35 }
36}
人脸搜索（`faceSearch`）
1package facesearch;
2
3import com.jdcloud.apigateway.signature.JdcloudSDKClient;
4import com.jdcloud.sdk.utils.BinaryUtils;
5import com.google.api.client.http.HttpResponse;
6import java.io.IOException;
7import java.util.HashMap;
8import java.util.Map;
9
10import static com.jdcloud.sdk.http.Protocol.HTTP;
11
12//人脸搜索
13public class faceSearch {
14 public static void main(String[] args) {
15 String accessKey = "请输入您的AK";
16 String secretKey = "请输入您的SK";
17 String endPoint = "aiapi.jdcloud.com";
18 String path = "/jdai/faceSearch";
19 String method = "POST";
20 Map headers = new HashMap<>();
21 Map queryMap = new HashMap<>();
22 queryMap.put("groupName", "请输入分组名称");
23 //如下填写同一人的第三张人脸Base64代码进行人脸搜索,这里用人脸marin.jpg
24 String body = "imageBase64=图片转换为Base64后的代码（去掉前面的data:image/jpeg;base64,）";
25 try {
26 HttpResponse response = JdcloudSDKClient.execute(accessKey, secretKey, HTTP,
27 endPoint, path, method, headers, queryMap, body);
28 System.out.println(new String(BinaryUtils.toByteArray(response.getContent())));
29 } catch (IOException e) {
30 System.out.println(e.getMessage());
31 }
32 }
33}
4.进行演示
如下演示都通过右击对应的代码执行
Run as-
1 Java Application来运行代码查看结果
创建分组
运行
faceGroupCreate.java，结果如下：
获取分组列表
运行
getFaceGroupList.java，结果如下：
创建人脸库
人脸搜索
删除人脸
删除分组
运行
faceGroupDelete.java，结果如下：
如上，我们通过
marin1.jpg、
marin2.jpg、
corona.jpg、
dog.jpg创建了人脸库，最后通过
marin.jpg将相似度最高的
marin1.jpg搜索了出来，至此，操作演示完毕~~
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