阿里AI训练营【车辆保险应用】
# 前言 转载于：[【阿里云高校计划】车辆保险应用 day4 【拨云见日】](https://blog.csdn.net/weixin_42234067/article/details/106764710)
# 实施前准备工作 ## 一、本地图片上传为OSS #### 1.开通oss  #### 2.创建Bucket   ## 二、开通目标检测服务 [阿里云视觉智能开放平台--目标检测](https://vision.aliyun.com/objectdet?spm=a211p3.14020179.J_7524944390.10.2c984b58Kfamiz)  ## 三、查看所需API 这里我们用到阿里云视觉智能开放平台提供的三个功能： - 车辆部件识别 - 车辆损伤识别 - 车险图片分类  1.车辆部件识别 > 检测图片中车辆部件的位置以及名称。 2.车辆损伤识别 > 针对常见小汽车车型，识别车辆外观受损部件及损伤类型，可识别数十种车辆部件、五大类外观损伤。（刮擦、凹陷、开裂、褶皱、穿孔） 3.车险图片分类 > 对输入的车险图片进行分类。 # 具体实施 ## 一、本地图片上传至OSS的uploadPic类 #### 车辆部件识别 ###### 1.在maven中导入所需依赖 ```java com.aliyun.ossaliyun-sdk-oss3.8.0 ``` ###### 2.编写UploadPic类 ```java package com.example.demo; import com.aliyun.oss.OSS; import com.aliyun.oss.OSSClientBuilder; import java.io.File; import java.net.URL; import java.security.SecureRandom; import java.util.Date; import java.lang.*; import java.util.Scanner; public class UploadPic { public static String UploadPic(){ // Endpoint以杭州为例，其它Region请按实际情况填写。 String endpoint = "oss-cn-shanghai.aliyuncs.com"; // 阿里云主账号AccessKey。 String accessKeyId = "*************"; String accessKeySecret = "*************"; //本地文件名 System.out.println("请输入本地图片path:"); Scanner scanner = new Scanner(System.in); String fileName = scanner.nextLine(); String bucketName = "auto-insurance-pic"; // 获取文件的后缀名 String suffixName = fileName.substring(fileName.lastIndexOf(".")); // 生成上传文件名 String objectName = System.currentTimeMillis() + "" + new SecureRandom().nextInt(0x0400) + suffixName; // 创建OSSClient实例。 OSS ossClient = new OSSClientBuilder().build(endpoint, accessKeyId, accessKeySecret); // 如果需要上传时设置存储类型与访问权限，请参考以下示例代码。 // ObjectMetadata metadata = new ObjectMetadata(); // metadata.setHeader(OSSHeaders.OSS_STORAGE_CLASS, StorageClass.Standard.toString()); // metadata.setObjectAcl(CannedAccessControlList.Private); // putObjectRequest.setMetadata(metadata); // 上传文件。 ossClient.putObject(bucketName, objectName, new File(fileName)); // 设置URL过期时间为1小时。 Date expiration = new Date(System.currentTimeMillis() + 3600 * 1000); // 生成以GET方法访问的签名URL，访客可以直接通过浏览器访问相关内容。 URL url = ossClient.generatePresignedUrl(bucketName, objectName, expiration); // 关闭OSSClient。 ossClient.shutdown(); return url.toString(); } } ``` ###### 3.运行结果  ## 二、车辆部件识别RecognizeVehicleParts类 #### 1.在maven中导入所需依赖 [阿里maven私有仓库服务](https://maven.aliyun.com/mvn/search)  ```java com.aliyunaliyun-java-sdk-core4.4.8com.alibabafastjson1.2.52com.aliyunaliyun-java-sdk-objectdet1.0.7 ``` #### 2.编写RecognizeVehicleParts类 ```java package com.example.demo; 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.example.demo.UploadPic; import com.google.gson.Gson; import java.util.*; import com.aliyuncs.objectdet.model.v20191230.*; public class RecognizeVehicleParts { public static void main(String[] args) { DefaultProfile profile = DefaultProfile.getProfile("cn-shanghai", "accessKeyId", "accessKeySecret"); IAcsClient client = new DefaultAcsClient(profile); RecognizeVehiclePartsRequest request = new RecognizeVehiclePartsRequest(); request.setRegionId("cn-shanghai"); request.setImageURL(UploadPic.UploadPic()); try { RecognizeVehiclePartsResponse 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()); } } } ``` #### 3.运行结果 返回值为： > {"requestId":"BBFB102D-5EAC-483F-9A94-9DA79A06E1F6","data":{"elements":[{"score":0.98788995,"type":"left_tail_light","boxes":[132,274,862,607]},{"score":0.952229,"type":"left_rear_wing","boxes":[4,162,365,750]},{"score":0.74785864,"type":"rear_bumper","boxes":[60,456,987,760]}],"originShapes":[768,1024]}} ## 三.车辆损伤识别 #### 1.在maven中导入所需依赖 见本文二-1 #### 2.编写RecognizeVehicleDamage类 ```java package com.example.demo; 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.objectdet.model.v20191230.*; public class RecognizeVehicleDamage { public static void main(String[] args) { DefaultProfile profile = DefaultProfile.getProfile("cn-shanghai", "accessKeyId", "accessKeySecret"); IAcsClient client = new DefaultAcsClient(profile); RecognizeVehicleDamageRequest request = new RecognizeVehicleDamageRequest(); request.setRegionId("cn-shanghai"); request.setImageURL(UploadPic.UploadPic()); try { RecognizeVehicleDamageResponse 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()); } } } ``` #### 3.识别结果 返回值为： > {"requestId":"7FFBD390-7019-4B85-9FFA-779C912A9CEB","data":{"elements":[{"score":0.414995,"type":"1","scores":[0.414995,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[343,390,473,542]},{"score":0.408405,"type":"1","scores":[0.408405,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[541,442,659,545]},{"score":0.348472,"type":"1","scores":[0.348472,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[273,293,423,400]},{"score":0.378637,"type":"2","scores":[0.0,0.378637,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[261,26,496,142]},{"score":0.873101,"type":"5","scores":[0.0,0.0,0.0,0.0,0.873101,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[91,4,555,267]},{"score":0.815785,"type":"6","scores":[0.0,0.0,0.0,0.0,0.0,0.815785,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[564,270,869,441]},{"score":0.845525,"type":"8","scores":[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.845525,0.0,0.0,0.0,0.0,0.0,0.0,0.0],"boxes":[230,234,529,313]},{"score":0.411336,"type":"11","scores":[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.411336,0.0,0.0,0.0,0.0],"boxes":[632,425,922,563]},{"score":0.334054,"type":"11","scores":[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.334054,0.0,0.0,0.0,0.0],"boxes":[538,91,733,194]},{"score":0.333818,"type":"11","scores":[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.333818,0.0,0.0,0.0,0.0],"boxes":[694,157,899,286]},{"score":0.32519,"type":"11","scores":[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.32519,0.0,0.0,0.0,0.0],"boxes":[523,87,902,278]}]}} ## 四.车险图片分类 #### 1.在maven中导入所需依赖 见本文二-1 #### 2.编写ClassifyVehicleInsurance类 ```java package com.example.demo; 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.objectdet.model.v20191230.*; public class ClassifyVehicleInsurance { public static void main(String[] args) { DefaultProfile profile = DefaultProfile.getProfile("cn-shanghai", "accessKeyId", "accessKeySecret"); IAcsClient client = new DefaultAcsClient(profile); ClassifyVehicleInsuranceRequest request = new ClassifyVehicleInsuranceRequest(); request.setRegionId("cn-shanghai"); request.setImageURL(UploadPic.UploadPic()); try { ClassifyVehicleInsuranceResponse 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()); } } } ``` #### 3.识别结果 返回值为： > {"requestId":"87BEADED-F581-4C38-9F5F-E6F8DF0A1BA5","data":{"threshold":0.0,"labels":[{"score":0.0046,"name":"others"},{"score":0.0164,"name":"detail"},{"score":0.1934,"name":"component"},{"score":0.0,"name":"vin"},{"score":8.0E-4,"name":"people"},{"score":2.0E-4,"name":"motor"},{"score":0.1439,"name":"semi-car"},{"score":0.0027,"name":"panoramic"},{"score":3.0E-4,"name":"license"},{"score":0.0169,"name":"CT-scan"},{"score":5.0E-4,"name":"truck"},{"score":0.0144,"name":"disassembly"},{"score":0.6059,"name":"scene"}]}}  # 总结 转载于：[【阿里云高校计划】车辆保险应用 day4 【拨云见日】](https://blog.csdn.net/weixin_42234067/article/details/106764710)
