JAVA调用阿里云图像识别接口实现图片垃圾分类_java 用摄像头实现垃圾分类

阿里云图像识别API，识别物品图片给出它属于的垃圾分类。看官方文档不太详细，这里给出一种实测可行方案，没考虑程序健壮性，还是建议优先参考官方文档：
官方教程文档：
https://help.aliyun.com/document_detail/158328.htm?spm=a2c4g.11186623.2.12.11bc5688Bee7Dq#doc-api-imagerecog-ClassifyingRubbish
阿里云视觉智能开放平台：
https://vision.aliyun.com/imagerecog

一、准备工作：
1.配置maven依赖：

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>fastjson</artifactId>
    <version>1.2.47</version>
</dependency>
<dependency>
    <groupId>com.aliyun</groupId>
    <artifactId>imagerecog20190930</artifactId>
    <version>1.0.1</version>
</dependency>
<dependency>
    <groupId>com.aliyun</groupId>
    <artifactId>tea-openapi</artifactId>
    <version>0.0.7</version>
</dependency>
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

2.去视觉智能开放平台申请accessKey和accessKeySecret

二、JAVA实现示例
1.将本地图片上传获取图片url：

String file = "XX:\\aliClassifyRubish\\example.jpg"; //本地图片地址
InputStream inputStream = ViapiFileUtilAdvance.buildInputStream(file);
ViapiFileUtilAdvance fileUtils = ViapiFileUtilAdvance.getInstance(accessKey, accessKeySecret, regionId);
String ossTempFileUrl = fileUtils.upload(inputStream);
1
2
3
4

2.创建代理

java.util.List<String> args = java.util.Arrays.asList(args_);
com.aliyun.imagerecog20190930.Client client = Classify.createClient(accessKey, accessKeySecret);//Classify为此类名
ClassifyingRubbishRequest classifyingRubbishRequest = new ClassifyingRubbishRequest().setImageURL(ossTempFileUrl);
1
2
3

其中

public static com.aliyun.imagerecog20190930.Client createClient(String accessKeyId, String accessKeySecret) throws Exception {
       Config config = new Config()
               // 您的AccessKey ID
               .setAccessKeyId(accessKeyId)
               // 您的AccessKey Secret
               .setAccessKeySecret(accessKeySecret);
       // 访问的域名
       config.endpoint = "imagerecog.cn-shanghai.aliyuncs.com";
       return new com.aliyun.imagerecog20190930.Client(config);
}

1
2
3
4
5
6
7
8
9
10
11

3.调用接口获取返回值

List list=client.classifyingRubbish(classifyingRubbishRequest).getBody().getData().getElements();
JSONArray jsonArray=(JSONArray) JSONArray.toJSON(list);
Map map=(Map) jsonArray.get(0);
String rubbish = (String) map.get("rubbish");
String category = (String) map.get("category");
float score = (float) map.get("categoryScore");
1
2
3
4
5
6

完整代码如下：

import com.alibaba.fastjson.JSONArray;
import com.aliyun.imagerecog20190930.models.*;
import com.aliyun.teaopenapi.models.*;
import java.io.InputStream;
import java.util.List;
import java.util.Map;

public class Classify {

    /**
     * 使用AK&SK初始化账号Client
     * @param accessKeyId
     * @param accessKeySecret
     * @return Client
     * @throws Exception
     */
    public static com.aliyun.imagerecog20190930.Client createClient(String accessKeyId, String accessKeySecret) throws Exception {
        Config config = new Config()
                // 您的AccessKey ID
                .setAccessKeyId(accessKeyId)
                // 您的AccessKey Secret
                .setAccessKeySecret(accessKeySecret);
        // 访问的域名
        config.endpoint = "imagerecog.cn-shanghai.aliyuncs.com";
        return new com.aliyun.imagerecog20190930.Client(config);
    }

    public static void main(String[] args_) throws Exception {

        String accessKey = "XXXXXXX";    //您的AccessKeyID
        String accessKeySecret = "XXXXXXXXXXXX";   //您的AccessKeySecret
        String regionId = "cn-shanghai";
        String file = "XX:\\aliClassifyRubish\\example.jpg"; //或者本地上传
        //String file = "https://img.alicdn.com/tfs/TB1S0DjC4v1gK0jSZFFXXb0sXXa-692-440.jpg";
        InputStream inputStream = ViapiFileUtilAdvance.buildInputStream(file);
        ViapiFileUtilAdvance fileUtils = ViapiFileUtilAdvance.getInstance(accessKey, accessKeySecret, regionId);
        String ossTempFileUrl = fileUtils.upload(inputStream);
        System.out.println(ossTempFileUrl);

        java.util.List<String> args = java.util.Arrays.asList(args_);
        com.aliyun.imagerecog20190930.Client client = Classify.createClient(accessKey, accessKeySecret);
        ClassifyingRubbishRequest classifyingRubbishRequest = new ClassifyingRubbishRequest().setImageURL(ossTempFileUrl);

        // 获取结果
        List list=client.classifyingRubbish(classifyingRubbishRequest).getBody().getData().getElements();
        JSONArray jsonArray=(JSONArray) JSONArray.toJSON(list);
        Map map=(Map) jsonArray.get(0);

        String rubbish = (String) map.get("rubbish");
        String category = (String) map.get("category");
        float score = (float) map.get("categoryScore");

        System.out.println("rubbish:"+rubbish);
        System.out.println("category:"+category);
        System.out.println("score:"+ score);

    }

}
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59

运行结果：