虹软人脸识别java实例

您好！对于虹软人脸识别的Java实例，您可以参考以下代码示例：

import com.arcsoft.face.EngineConfiguration;
import com.arcsoft.face.FaceEngine;
import com.arcsoft.face.FaceInfo;
import com.arcsoft.face.FaceSimilar;
import com.arcsoft.face.enums.DetectMode;
import com.arcsoft.face.toolkit.ImageFactory;
import com.arcsoft.face.toolkit.ImageInfo;

public class FaceRecognitionExample {
    public static void main(String[] args) {
        // 初始化引擎
        String appId = "your_app_id";
        String sdkKey = "your_sdk_key";
        FaceEngine faceEngine = new FaceEngine("your_library_path");
        EngineConfiguration engineConfiguration = new EngineConfiguration();
        faceEngine.init(appId, sdkKey, engineConfiguration);

        // 加载图片
        String imagePath1 = "path_to_image1";
        String imagePath2 = "path_to_image2";
        ImageInfo imageInfo1 = ImageFactory.getRGBData(imagePath1);
        ImageInfo imageInfo2 = ImageFactory.getRGBData(imagePath2);

        // 检测人脸
        FaceInfo[] faceInfos1 = faceEngine.detectFaces(imageInfo1.getImageData(), imageInfo1.getWidth(), imageInfo1.getHeight(), DetectMode.ASF_DETECT_MODE_VIDEO);
        FaceInfo[] faceInfos2 = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), DetectMode.ASF_DETECT_MODE_VIDEO);

        // 提取特征值
        byte[] feature1 = faceEngine.extractFaceFeature(imageInfo1.getImageData(), imageInfo1.getWidth(), imageInfo1.getHeight(), DetectMode.ASF_DETECT_MODE_VIDEO, faceInfos1[0]);
        byte[] feature2 = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), DetectMode.ASF_DETECT_MODE_VIDEO, faceInfos2[0]);

        // 计算相似度
        FaceSimilar faceSimilar = new FaceSimilar();
        faceEngine.compareFaceFeature(feature1, feature2, faceSimilar);

        // 打印相似度
        System.out.println("Similarity: " + faceSimilar.getScore());

        // 释放资源
        faceEngine.unInit();
    }
}

请确保您已经正确添加了虹软人脸识别的依赖库，并使用您自己的应用ID（appId）、SDK密钥（sdkKey）以及库路径（your_library_path）。同时，替换"path_to_image1"和"path_to_image2"为您要识别的两张图片的路径。

希望对您有所帮助！如果您有任何问题，请随时提问。