Baidu AI 인터페이스가 Java 프로젝트에서 얼굴 인식 성능을 최적화하고 향상시키는 방법

// 使用百度AI SDK进行人脸识别接口调用
// 导入必要的包
import com.baidu.aip.face.AipFace;
import org.json.JSONObject;
import java.util.HashMap;

public class FaceRecognition {
    // 配置百度AI的API Key和Secret Key
    private static final String APP_ID = "your_app_id";
    private static final String API_KEY = "your_api_key";
    private static final String SECRET_KEY = "your_secret_key";
    
    public static void main(String[] args) {
        // 初始化AipFace对象
        AipFace client = new AipFace(APP_ID, API_KEY, SECRET_KEY);
        
        // 设定请求参数
        HashMap<String, String> options = new HashMap<>();
        options.put("face_field", "age,gender");
        options.put("max_face_num", "2");
        
        // 调用人脸检测接口
        JSONObject result = client.detect("your_image_path", options);
        
        // 处理返回结果
        System.out.println(result.toString(2));
    }
}

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

public class FaceRecognitionBatch {
    public static void main(String[] args) {
        // 创建线程池，设置线程数量
        ExecutorService executor = Executors.newFixedThreadPool(10);
        
        // 假设人脸图片存储在一个列表中
        List<String> imagePaths = new ArrayList<>();
        // 添加人脸图片路径到列表中
        
        // 分批处理人脸图片
        int batchSize = 10;
        for (int i = 0; i < imagePaths.size(); i += batchSize) {
            List<String> batchImagePaths = imagePaths.subList(i, Math.min(i + batchSize, imagePaths.size()));
            executor.execute(new FaceRecognitionTask(batchImagePaths));
        }
        
        // 关闭线程池
        executor.shutdown();
        try {
            executor.awaitTermination(Long.MAX_VALUE, TimeUnit.NANOSECONDS);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }
}

class FaceRecognitionTask implements Runnable {
    private List<String> imagePaths;
    
    public FaceRecognitionTask(List<String> imagePaths) {
        this.imagePaths = imagePaths;
    }
    
    @Override
    public void run() {
        AipFace client = new AipFace(APP_ID, API_KEY, SECRET_KEY);
        // 设置其他参数
        
        for (String imagePath : imagePaths) {
            // 调用百度AI接口进行人脸识别
            // 处理返回结果
        }
    }
}

import java.util.HashMap;
import java.util.Map;

public class FaceRecognitionCache {
    private static Map<String, JSONObject> cache = new HashMap<>();
    
    public static JSONObject getFromCache(String key) {
        return cache.get(key);
    }
    
    public static void saveToCache(String key, JSONObject result) {
        cache.put(key, result);
    }
}

// 从缓存中获取结果
JSONObject result = FaceRecognitionCache.getFromCache(imagePath);

if (result != null) {
    // 直接使用缓存中的结果
    // 处理返回结果
} else {
    // 调用百度AI接口进行人脸识别
    // 处理返回结果
    
    // 将结果保存到缓存中
    FaceRecognitionCache.saveToCache(imagePath, result);
}