1、集成车牌识别模型，支持车牌检测与识别

2、新增 Milvus 身份验证支持
3、目标检测功能升级：可指定类别及topk
4、支持自定义线程池线程数量

smartjavaai-common/src/main/java/cn/smartjavaai/common/utils/NMSUtils.java

@@ -0,0 +1,67 @@
+package cn.smartjavaai.common.utils;
+
+import ai.djl.ndarray.NDArray;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * @author dwj
+ * @date 2025/7/23
+ */
+public class NMSUtils {
+
+    /**
+     * 通用 NMS 方法，输入 NDArray 形式的 boxes 和 scores，返回保留的索引列表
+     *
+     * @param boxes   NDArray 形状为 (N, 4)，格式为 [x1, y1, x2, y2]
+     * @param scores  NDArray 形状为 (N,) 或 (N,1)，每个 box 的置信度
+     * @param iouThreshold IOU 阈值，超过该阈值则认为有重叠
+     * @return 保留框的索引列表
+     */
+    public static int[] nms(NDArray boxes, NDArray scores, float iouThreshold) {
+        if (boxes.isEmpty()) {
+            return new int[0];
+        }
+
+        NDArray x1 = boxes.get(":, 0");
+        NDArray y1 = boxes.get(":, 1");
+        NDArray x2 = boxes.get(":, 2");
+        NDArray y2 = boxes.get(":, 3");
+
+        NDArray areas = x2.sub(x1).add(1).mul(y2.sub(y1).add(1));
+
+        // 按照置信度降序排序
+        NDArray order = scores.argSort().flip(0);
+
+        List<Integer> keep = new ArrayList<>();
+
+        while (order.size() > 0) {
+            int idx = (int)order.getLong(0);
+            keep.add(idx);
+
+            if (order.size() == 1) break;
+
+            NDArray currentBox = boxes.get(idx);
+            NDArray others = boxes.get(order);
+
+            NDArray xx1 = x1.get(order).maximum(x1.get(idx));
+            NDArray yy1 = y1.get(order).maximum(y1.get(idx));
+            NDArray xx2 = x2.get(order).minimum(x2.get(idx));
+            NDArray yy2 = y2.get(order).minimum(y2.get(idx));
+
+            NDArray w = xx2.sub(xx1).add(1).maximum(0);
+            NDArray h = yy2.sub(yy1).add(1).maximum(0);
+            NDArray inter = w.mul(h);
+
+            NDArray remAreas = areas.get(order);
+            NDArray union = remAreas.add(areas.get(idx)).sub(inter);
+            NDArray iou = inter.div(union);
+
+            NDArray mask = iou.lte(iouThreshold);
+            order = order.get(mask);
+        }
+        return keep.stream().mapToInt(i -> i).toArray();
+    }
+
+}