阿里视觉训练营Day4——车辆保险应用

开通服务

首先在视觉智能开放平台https://vision.aliyun.com/开通车辆识别服务

功能描述

可以识别图片（完整或部件图片）中汽车的类型，目前主要有小轿车、多用途汽车、SUV等类别。

示例代码

import com.aliyuncs.DefaultAcsClient;`
import com.aliyuncs.IAcsClient;`
import com.aliyuncs.exceptions.ClientException;`
import com.aliyuncs.exceptions.ServerException;`
import com.aliyuncs.profile.DefaultProfile;`
import com.google.gson.Gson;`
import java.util.*;
import com.aliyuncs.imagerecog.model.v20190930.*;`

public class RecognizeVehicleType {

public static void main(String[] args) {
    DefaultProfile profile = DefaultProfile.getProfile("cn-shanghai", "<accessKeyId>", "<accessSecret>");
    IAcsClient client = new DefaultAcsClient(profile);

    RecognizeVehicleTypeRequest request = new RecognizeVehicleTypeRequest();
    request.setRegionId("cn-shanghai");
    request.setImageURL("http://viapi-test.oss-cn-shanghai.aliyuncs.com/sanjiye-meizi/%E8%BD%A6%E5%9E%8B%E8%AF%86%E5%88%AB-%E5%BE%85%E6%B5%8B%E8%AF%95.jpg");

    try {
        RecognizeVehicleTypeResponse response = client.getAcsResponse(request);
        System.out.println(new Gson().toJson(response));
    } catch (ServerException e) {
        e.printStackTrace();
    } catch (ClientException e) {
        System.out.println("ErrCode:" + e.getErrCode());
        System.out.println("ErrMsg:" + e.getErrMsg());
        System.out.println("RequestId:" + e.getRequestId());
    }

}
  
}

请求实例

http(s)://[Endpoint]/?Action=RecognizeVehicleType
&ImageURL=https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/%E6%B5%8B%E8%AF%95002/detvichle.jpg
&<公共请求参数>

正常返回实例

<RequestId>DC2DD4F6-524F-461E-99E0-79A51A6C457B</RequestId>
<Data>
    <Elements>
        <Score>0.9952</Score>
        <Name>car</Name>
    </Elements>
    <Elements>
        <Score>0.0001</Score>
        <Name>MPV_mian</Name>
    </Elements>
    <Elements>
        <Score>0.0029</Score>
        <Name>others</Name>
    </Elements>
    <Elements>
        <Score>0.0018</Score>
        <Name>SUV</Name>
    </Elements>
    <Threshold>0.9952</Threshold>
</Data>

json格式

{
    "RequestId": "DC2DD4F6-524F-461E-99E0-79A51A6C457B",
    "Data": {
        "Elements": [
            {
                "Score": 0.9952,
                "Name": "car"
            },
            {
                "Score": 0.0001,
                "Name": "MPV_mian"
            },
            {
                "Score": 0.0029,
                "Name": "others"
            },
            {
                "Score": 0.0018,
                "Name": "SUV"
            }
        ],
        "Threshold": 0.9952
    }
}