138 lines
5.3 KiB
Java
138 lines
5.3 KiB
Java
//package jnpf.util;
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//
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//import com.seeta.sdk.*;
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//import com.seeta.sdk.util.SeetafaceUtil;
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//import jnpf.exception.HandleException;
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//import lombok.extern.slf4j.Slf4j;
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//import org.springframework.web.multipart.MultipartFile;
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//
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//import javax.imageio.ImageIO;
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//import java.awt.image.BufferedImage;
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//import java.io.InputStream;
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//import java.net.HttpURLConnection;
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//import java.net.URL;
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//
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///**
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// * 人脸识别工具类
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// *
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// * @author yanwenfu
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// * @create 2025-04-08
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// */
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//@Slf4j
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//public class SeetaFaceUtil {
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//
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// //人脸检测器
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// private static final FaceDetector detector;
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// //关键点定位器 5点
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// private static final FaceLandmarker faceLandmarker;
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// //人脸向量特征提取和对比器
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// private static final FaceRecognizer faceRecognizer;
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// static {
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// try {
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// detector = new FaceDetector(new SeetaModelSetting(SeetaConstant.face_detector, SeetaDevice.SEETA_DEVICE_AUTO));
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// faceLandmarker = new FaceLandmarker(new SeetaModelSetting(SeetaConstant.face_landmarker_pts5, SeetaDevice.SEETA_DEVICE_AUTO));
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// faceRecognizer = new FaceRecognizer(new SeetaModelSetting(SeetaConstant.face_recognizer, SeetaDevice.SEETA_DEVICE_AUTO));
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// } catch (Exception e) {
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// throw new RuntimeException(e);
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// }
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// }
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//
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// // 资源释放方法
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// public static synchronized void releaseModels() {
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// try {
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// if (detector != null) {
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// detector.dispose(); // 实际方法名以SDK为准
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// }
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// if (faceLandmarker != null) {
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// faceLandmarker.dispose();
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// }
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// if (faceRecognizer != null) {
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// faceRecognizer.dispose();
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// }
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// } catch (Exception e) {
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// log.error("模型资源释放异常", e);
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// }
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// }
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//
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// /**
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// * 获取照片特征（参数必须传递一个）
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// * @param file 文件
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// * @param url 远程路径
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// * @return float[]
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// */
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// public static float[] analyzeEcognizer(MultipartFile file, String url) throws HandleException {
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// float[] features1 = null;
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// try {
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// //第1张照片
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// SeetaImageData image1;
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// if (null != file) {
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// image1 = SeetafaceUtil.toSeetaImageData(imageAsBufferedImage(file));
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// } else {
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// image1 = SeetafaceUtil.toSeetaImageData(downloadImageAsBufferedImage(url));
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// }
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// //第一张照片人脸识别
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// SeetaRect[] detects1 = detector.Detect(image1);
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// if (null == detects1 || detects1.length == 0) {
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// throw new HandleException("未识别到人脸，请重试");
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// }
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// SeetaPointF[] pointFS1 = new SeetaPointF[faceRecognizer.GetExtractFeatureSize()];
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// int[] masks1 = new int[faceRecognizer.GetExtractFeatureSize()];
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// //第一张图片，第一个人脸关键点定位，有多个人脸的情况下，只取第一个人脸（这是测试，先这样写）
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// faceLandmarker.mark(image1, detects1[0], pointFS1, masks1);
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// //第一张图片，第一个人脸向量特征提取features1
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// features1 = new float[faceRecognizer.GetExtractFeatureSize()];
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// faceRecognizer.Extract(image1, pointFS1, features1);
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// } catch (Exception e) {
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// throw new HandleException(e.getMessage());
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// }
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// return features1;
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// }
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//
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// public static Boolean compareEigenvalue(float[] features1, float[] features2) {
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// try {
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// //人脸向量特征提取和对比器
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// // FaceRecognizer faceRecognizer = new FaceRecognizer(new SeetaModelSetting(SeetaConstant.face_recognizer, SeetaDevice.SEETA_DEVICE_AUTO));
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// if (features1 != null && features2 != null ) {
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// float calculateSimilarity = faceRecognizer.CalculateSimilarity(features1, features2);
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//
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// if (calculateSimilarity > 0.75) {
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// return true;
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// }
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// }
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// } catch (Exception e) {
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// log.error(e.getMessage());
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// return false;
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// }
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// return false;
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// }
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//
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// public static BufferedImage imageAsBufferedImage(MultipartFile file) throws Exception {
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// // 获取输入流
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// InputStream inputStream = file.getInputStream();
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// // 使用ImageIO读取InputStream到BufferedImage
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// BufferedImage bufferedImage = ImageIO.read(inputStream);
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// // 关闭输入流
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// inputStream.close();
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// return bufferedImage;
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// }
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//
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// public static BufferedImage downloadImageAsBufferedImage(String imageUrl) throws Exception {
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// // 创建URL对象
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// URL url = new URL(imageUrl);
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// // 打开连接
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// HttpURLConnection connection = (HttpURLConnection) url.openConnection();
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// connection.setRequestMethod("GET");
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// // 连接到资源
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// connection.connect();
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// // 获取输入流
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// InputStream inputStream = connection.getInputStream();
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// // 使用ImageIO读取InputStream到BufferedImage
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// BufferedImage bufferedImage = ImageIO.read(inputStream);
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// // 关闭输入流
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// inputStream.close();
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// // 断开连接
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// connection.disconnect();
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// return bufferedImage;
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// }
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//}
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