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：

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：

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：

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：

class RunImageMediaTaggingResponse { result: class ImageMediaTaggingResponseResult { tags: [class ImageMediaTaggingItemBody { confidence: 83.63 type: 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: 81.78 type: 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: 77.00 type: 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: 62.60 type: 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: 59.02 type: 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: 53.84 type: 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: 48.01 type: 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: 44.02 type: 动物 tag: 犬 i18nTag: class ImageMediaTaggingItemBodyI18nTag { zh: 犬 en: Dog } i18nType: class ImageMediaTaggingItemBodyI18nType { zh: 动物 en: Animal } instances: [] }, class ImageMediaTaggingItemBody { confidence: 42.11 type: 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: 38.65 type: 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：

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_SK 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(); 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

---

总结

以上就是华为云的AI图像识别服务调用，这里提供官方文档