Java 및 Huawei Cloud 얼굴 감지 인터페이스를 사용하여 얼굴 분석을 구현하는 방법

<dependency>
    <groupId>com.huaweicloud.sdk</groupId>
    <artifactId>facebody-observation</artifactId>
    <version>3.1.0</version>
</dependency>

import com.huaweicloud.sdk.facebody.v1.FacebodyClient;
import com.huaweicloud.sdk.facebody.v1.model.*;
import com.huaweicloud.sdk.core.exception.SdkException;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.http.HttpConfig;

public class FaceAnalysis {

    public static void main(String[] args) {
        // 配置华为云的API Key和API Secret
        ICredential credential = new BasicCredentials()
                .withAk("your_api_key")
                .withSk("your_api_secret");

        // 创建人脸检测服务的客户端
        FacebodyClient client = FacebodyClient.newBuilder()
                .withCredential(credential)
                .withHttpConfig(HttpConfig.getDefaultHttpConfig())
                .build();

        // 创建一个人脸分析请求
        DetectFaceByFileRequest request = new DetectFaceByFileRequest()
                .withImageFile("path_to_your_image_file")
                .withAttributes("face_landmarks", "emotions");

        try {
            // 发送人脸分析请求并获取结果
            DetectFaceByFileResponse response = client.detectFaceByFile(request);
            if (response != null && response.getFaces() != null) {
                for (DetectFaceResult face : response.getFaces()) {
                    // 处理人脸分析结果
                    System.out.println("Emotions: " + face.getAttributes().getEmotions());
                    System.out.println("Landmarks: " + face.getAttributes().getFaceLandmarks());
                }
            }
        } catch (SdkException e) {
            // 处理异常情况
            e.printStackTrace();
        }
    }
}