使用Java SDK对图片进行风险检测,检测结果通过ImageAsyncScanResultsRequest接口轮询。

接口描述

ImageAsyncScanRequest
功能 支持的Region 描述
异步图片风险检测 cn-shanghaicn-beijing 对图片进行多个风险场景的识别,包括色情、暴恐敏感、文字的识别、指定人脸、图片广告、图片二维码识别。
说明
需要配合ImageAsyncScanResultsRequest接口来轮询检测结果。

调用示例

关于调用请求中的检测场景参数 scene,返回结果中的分类参数 label,以及操作建议参数 suggestion的说明,请参考SDK 调用参数说明
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.aliyuncs.DefaultAcsClient;
import com.aliyuncs.IAcsClient;
import com.aliyuncs.exceptions.ClientException;
import com.aliyuncs.exceptions.ServerException;
import com.aliyuncs.green.model.v20180509.ImageAsyncScanRequest;
import com.aliyuncs.http.FormatType;
import com.aliyuncs.http.HttpResponse;
import com.aliyuncs.profile.DefaultProfile;
import com.aliyuncs.profile.IClientProfile;
// 调用图片异步检测接口
public class ImageAsyncScanRequestSample extends BaseSample{
    public static void main(String[] args) throws Exception {
        //请替换成您自己的accessKeyId、accessKeySecret
        IClientProfile profile = DefaultProfile.getProfile("cn-shanghai", "您的accessKeyId", "您的accessKeySecret");
        DefaultProfile.addEndpoint("cn-shanghai", "cn-shanghai", "Green", "green.cn-shanghai.aliyuncs.com");
        IAcsClient client = new DefaultAcsClient(profile);
        ImageAsyncScanRequest imageAsyncScanRequest = new ImageAsyncScanRequest();
        imageAsyncScanRequest.setAcceptFormat(FormatType.JSON); // 指定api返回格式
        imageAsyncScanRequest.setHttpContentType(FormatType.JSON);
        imageAsyncScanRequest.setMethod(com.aliyuncs.http.MethodType.POST); // 指定请求方法
        imageAsyncScanRequest.setEncoding("utf-8");
        imageAsyncScanRequest.setRegionId("cn-shanghai");
        List<Map<String, Object>> tasks = new ArrayList<Map<String, Object>>();
        Map<String, Object> task1 = new LinkedHashMap<String, Object>();
        task1.put("dataId", UUID.randomUUID().toString());
        task1.put("url", "http://xxx.jpg");
        task1.put("time", new Date());
        tasks.add(task1);
        JSONObject data = new JSONObject();
        // 支持的场景包括:porn(色情)、terrorism(暴恐)、qrcode(二维码)、ad(图片广告)、ocr(文字识别)
        data.put("scenes", Arrays.asList("porn"));
        data.put("tasks", tasks);
        imageAsyncScanRequest.setHttpContent(data.toJSONString().getBytes("UTF-8"), "UTF-8", FormatType.JSON);
        // 请务必设置超时时间
        imageAsyncScanRequest.setConnectTimeout(3000);
        imageAsyncScanRequest.setReadTimeout(6000);
        try {
            HttpResponse httpResponse = client.doAction(imageAsyncScanRequest);
            if(httpResponse.isSuccess()){
                JSONObject scrResponse = JSON.parseObject(new String(httpResponse.getHttpContent(), "UTF-8"));
                System.out.println(JSON.toJSONString(scrResponse, true));
                if (200 == scrResponse.getInteger("code")) {
                    JSONArray taskResults = scrResponse.getJSONArray("data");
                    for (Object taskResult : taskResults) {
                        if(200 == ((JSONObject)taskResult).getInteger("code")){
                            String taskId = ((JSONObject)taskResult).getString("taskId");
                            // 将taskId 保存下来,间隔一段时间来轮询结果。具体请参照查询异步检测结果接口(ImageAsyncScanResultsRequest)说明
                            System.out.println("args = [" + taskId + "]");
                        }else{
                            System.out.println("task process fail:" + ((JSONObject)taskResult).getInteger("code"));
                        }
                    }
                } else {
                    System.out.println("detect not success. code:" + scrResponse.getInteger("code"));
                }
            }else{
                System.out.println("response not success. status:" + httpResponse.getStatus());
            }
        } catch (ServerException e) {
            e.printStackTrace();
        } catch (ClientException e) {
            e.printStackTrace();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}