华为云AI：轻松实现图像识别调用-编程知识

文章目录

前言
一、环境配置
- 关键步骤
二、图像识别实例
- 媒资图像标签
- 名人识别
总结

前言

基于华为云AI服务和java使用SDK实现图像识别，主要以媒资图像标签和名人识别为例。

一、环境配置

Maven（没有直接下载华为的SDK包，而是使用Maven安装依赖）
JDK19（官方的SDK包要求JDK版本必须高于JDK8版本，大家根据自己只要满足版本要求即可）
开发工具：IDEA 2023.3（其他版本也可）
- 能创建Maven项目即可
开通图像识别服务（目前是免费体验）：这里我开通的是图像标签/媒资图像标签和名人识别服务。
设置访问密钥
服务区域：我开通的服务区域是华北-北京四

关键步骤

Maven项目的创建和Java环境变量的配置我就不再赘诉，这是大家学习java早已熟练掌握的，这里只讲诉易错的。

开通图像识别服务
华为云首页就有云产品体验区（找不到就在搜索栏检索），勾选AI：
在这里插入图片描述
点击“立即体验”后，找到服务列表，开通你想要的服务（点击开通）：

设置访问密钥
在控制台找到“我的凭证”：

找到“访问密钥”，如果没有就新增，新增后一定要下载密钥的CSV文件，他会有提示让你下载，防止你忘记：
在这里插入图片描述
下载完csv文件后用记事本打开即可看到AK和SK：

Maven引入依赖配置
版本可以自己切换

		<dependency><groupId>com.huaweicloud.sdk</groupId><artifactId>huaweicloud-sdk-image</artifactId><version>3.1.8</version></dependency><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.70</version></dependency><dependency><groupId>org.apache.httpcomponents</groupId><artifactId>httpcore</artifactId><version>4.4.16</version></dependency><dependency><groupId>commons-codec</groupId><artifactId>commons-codec</artifactId><version>1.16.0</version></dependency><dependency><groupId>commons-io</groupId><artifactId>commons-io</artifactId><version>2.13.0</version></dependency>

二、图像识别实例

媒资图像标签

功能介绍：对用户传入的图像可以返回图像中的物体名称、所属类别及置信度信息。

使用图片是网上的，仅作学习使用：
在这里插入图片描述

代码如下：

/*** @Version: 1.0.0* @Author: Dragon_王* @ClassName: RunImageMediaTaggingSolution* @Description: 媒资图像标签* @Date: 2024/1/8 11:51*//*** 此demo仅供测试使用，强烈建议使用SDK* 使用前需配置依赖jar包。jar包可通过下载SDK获取*/import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.image.v2.region.ImageRegion;
import com.huaweicloud.sdk.image.v2.*;
import com.huaweicloud.sdk.image.v2.model.*;public class RunImageMediaTaggingSolution {public static void main(String[] args) {//此处需要输入您的AK/SK信息String ak = "你的AK";String sk = "你的SK";ICredential auth = new BasicCredentials().withAk(ak).withSk(sk);ImageClient client = ImageClient.newBuilder().withCredential(auth).withRegion(ImageRegion.valueOf("cn-north-4"))  //此处替换为您开通服务的区域.build();RunImageMediaTaggingRequest request = new RunImageMediaTaggingRequest();ImageMediaTaggingReq body = new ImageMediaTaggingReq();body.withThreshold(10f);body.withLanguage("zh");body.withUrl("https://tse2-mm.cn.bing.net/th/id/OIP-C.SIuEnb1-arhtDNqfdICVqAHaE7?rs=1&pid=ImgDetMain");  //此处替换为公网可以访问的图片地址request.withBody(body);try {RunImageMediaTaggingResponse response = client.runImageMediaTagging(request);System.out.println(response.toString());} catch (ConnectionException e) {e.printStackTrace();} catch (RequestTimeoutException e) {e.printStackTrace();} catch (ServiceResponseException e) {e.printStackTrace();System.out.println(e.getHttpStatusCode());System.out.println(e.getErrorCode());System.out.println(e.getErrorMsg());}}
}

运行结果：
在这里插入图片描述

class RunImageMediaTaggingResponse {result: class ImageMediaTaggingResponseResult {tags: [class ImageMediaTaggingItemBody {confidence: 83.63type: 动物tag: 金毛犬i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 金毛犬en: Golden retriever}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 81.78type: 动物tag: 金毛i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 金毛en: Golden hair}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 77.00type: 动物tag: 金毛寻猎犬i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 金毛寻猎犬en: Golden Retriever}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 62.60type: 动物tag: 贵妇犬i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 贵妇犬en: Poodle}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 59.02type: 生活tag: 狗链i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 狗链en: Dog chain}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 生活en: Life}instances: []}, class ImageMediaTaggingItemBody {confidence: 53.84type: 动物tag: 宠物狗i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 宠物狗en: Pet dog}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 48.01type: 动物tag: 狗狗i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 狗狗en: Dog}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 44.02type: 动物tag: 犬i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 犬en: Dog}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 42.11type: 动物tag: 纯种犬i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 纯种犬en: Purebred dog}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}, class ImageMediaTaggingItemBody {confidence: 38.65type: 动物tag: 中华田园犬i18nTag: class ImageMediaTaggingItemBodyI18nTag {zh: 中华田园犬en: Chinese pastoral dog}i18nType: class ImageMediaTaggingItemBodyI18nType {zh: 动物en: Animal}instances: []}]}
}Process finished with exit code 0

名人识别

功能介绍：分析并识别图片中包含的敏感人物、明星及网红人物，返回人物信息及人脸坐标。

使用照片是网上的照片，仅作学习使用：
在这里插入图片描述

代码如下：

/*** @Version: 1.0.0* @Author: Dragon_王* @ClassName: RunCelebrityRecognitionSolution* @Description: 媒资标签* @Date: 2024/1/9 16:23*/import com.alibaba.fastjson.JSON;import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.image.v2.ImageClient;
import com.huaweicloud.sdk.image.v2.model.RunCelebrityRecognitionRequest;
import com.huaweicloud.sdk.image.v2.region.ImageRegion;
import com.huaweicloud.sdk.image.v2.model.CelebrityRecognitionReq;
import com.huaweicloud.sdk.image.v2.model.RunCelebrityRecognitionResponse;public class RunCelebrityRecognitionSolution {public static void main(String[] args) {// 认证用的ak和sk硬编码到代码中或者明文存储都有很大的安全风险，建议在配置文件或者环境变量中密文存放，使用时解密，确保安全// 本示例以ak和sk保存在环境变量中来实现身份验证为例，运行本示例前请先在本地环境中设置环境变量HUAWEICLOUD_SDK_AK和HUAWEICLOUD_SDK_SKString ak = "你的AK";String sk = "你的SK";ICredential auth = new BasicCredentials().withAk(ak).withSk(sk);ImageClient client = ImageClient.newBuilder().withCredential(auth).withRegion(ImageRegion.valueOf("cn-north-4"))  //此处替换为您开通服务的区域.build();RunCelebrityRecognitionRequest request = new RunCelebrityRecognitionRequest();CelebrityRecognitionReq body = new CelebrityRecognitionReq();body.withThreshold(0f);body.withUrl("https://tse1-mm.cn.bing.net/th/id/OIP-C.tM6jifW1xaCDP7Kia9QiYwHaKD?rs=1&pid=ImgDetMain");   //此处替换为公网可以访问的图片地址request.withBody(body);try {RunCelebrityRecognitionResponse response = client.runCelebrityRecognition(request);System.out.println(response.getHttpStatusCode());System.out.println(JSON.toJSONString(response));} catch (ConnectionException e) {e.printStackTrace();} catch (RequestTimeoutException e) {e.printStackTrace();} catch (ServiceResponseException e) {e.printStackTrace();System.out.println(e.getHttpStatusCode());System.out.println(e.getErrorCode());System.out.println(e.getErrorMsg());}}
}

运行结果：

200
{"httpStatusCode":200,"result":[{"confidence":0.9985551,"faceDetail":{"w":132,"h":186,"x":197,"y":79},"label":"成龙"}]}Process finished with exit code 0