Opencv在main能运行但是在Control下就报错

Question

问题遇到的现象和发生背景
java使用Opencv在main能运行但是在Control下就报错
opencv版本为4.5.4
问题相关代码，请勿粘贴截图

@RequestMapping("Openmv")
    @ResponseBody
    public void Openmv(HttpServletRequest request, HttpServletResponse response)
            throws Exception {
      System.out.println("开始");
//        System.setProperty("spring.devtools.restart.enabled", "false");
//        System.out.println(System.getProperty("java.library.path"));
//        // 加载动态库
//        URL url = ClassLoader.getSystemResource("lib/opencv/opencv_java454.all");
//        System.load(url.getPath());
//        System.out.println(url);
  //      System.load(url1);
    //   System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.load("D:\\down\\opencv\\build\\java\\x64\\opencv_java454.dll");
        System.out.println("人脸检测开始……");
        //读取原图像
        Mat image =Imgcodecs.imread("D:\\down\\worklace\\CV\\aaa.jpg");
        //建立灰度图像存储空间
        Mat gray = new Mat(image.rows(), image.cols(), CvType.CV_8UC1);
        //彩色图像灰度化
        Imgproc.cvtColor(image, gray, Imgproc.COLOR_RGB2GRAY);
        //高斯模糊
        Mat gauss = gray.clone();
        Imgproc.GaussianBlur(gray, gauss, new Size(new Point(5, 5)), 0);
        // 函数检测边缘
        Mat canny = gauss.clone();
        Imgproc.Canny(gauss, canny, 100, 200);

        //找到轮廓
        Mat hierarchy = canny.clone();
        List<MatOfPoint> contours = new ArrayList<>();
        Imgproc.findContours(canny, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);

        List<Integer> ints = new ArrayList<>();
        List<MatOfPoint> points = new ArrayList<>();
        //从轮廓的拓扑结构信息中得到有5层以上嵌套的轮廓
        for (int i = 0; i < contours.size(); i++) {
            int k = i;
            int c = 0;
            while (hierarchy.get(0, k)[2] != -1) {
                k = (int) hierarchy.get(0, k)[2];
                c = c + 1;
                if (c >= 5) {
                    ints.add(i);
                    points.add(contours.get(i));
                }
            }
        }
        System.out.println("找到" + ints.size() + "个标志轮廓!");

        Point[] points1 = points.get(0).toArray();
        Point[] points2 = points.get(1).toArray();
        Point[] points3 = points.get(2).toArray();

        Point[] point = new Point[points1.length + points2.length + points3.length];
        System.arraycopy(points1, 0, point, 0, points1.length);
        System.arraycopy(points2, 0, point, points1.length, points2.length);
        System.arraycopy(points3, 0, point, points1.length + points2.length, points3.length);


        //轮廓转换成最小矩形包围盒
        RotatedRect rotatedRect = Imgproc.minAreaRect(new MatOfPoint2f(point));
        //截取出二维码
        Rect qrRect = rotatedRect.boundingRect();
        Mat mat = new Mat(image, qrRect);
        String flag="0";
        //扫描后的图片
        Mat hsv_image = new Mat(mat.size(), mat.type());
        Mat mat2=new Mat(mat.size(), mat.type());
        //将图片的格式转为HSV模式,原来为RGB
        Imgproc.cvtColor(mat, hsv_image, Imgproc.COLOR_BGR2HSV);
        // 色调（H），饱和度（S），明度（V)
        // 下面就可以进行颜色的提取了
        int num=0;
        int num_rows = hsv_image.rows();
        int num_col = hsv_image.cols();
        for (int i = 0; i < num_rows; i++) {
            for (int j = 0; j < num_col; j++) {
                // 获取每个像素
                double[] clone = hsv_image.get(i, j).clone();
                double hun = clone[0]; // HSV hun

                if ((hun>=35&&hun<=77)) {
                    if (clone[1] >= 43 && clone[1] <= 255) {
                        if (clone[2] >= 46 && clone[2] <= 255) {
                            // 红色范围外,全部设置为黑色,
                            /*clone[0] = 0;
                            clone[1] = 0;
                            clone[2] = 255;*/
                            num++;
                            flag="1";
                            //mat2.put(i, j, clone);
                        }
                    }
                }
            }
        }
        if(flag.equals("1")){
            System.out.println("绿码");
        }
        // System.out.println(num);
        //保存图像到Result目录中
        // Imgcodecs.imwrite("D:\\down\\worklace\\opencv\\gray.png",mat2);
        // Imgcodecs.imwrite("D:\\down\\worklace\\opencv\\qrCodeImg.jpg", qrCodeImg);
    }

运行结果及报错内容
Handler dispatch failed; nested exception is java.lang.NoClassDefFoundError: org/opencv/imgcodecs/Imgcodecs
我的解答思路和尝试过的方法
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);报错Handler dispatch failed; nested exception is java.lang.NoClassDefFoundError: org/opencv/core/Core
project structure->Libraries->java已配置，Vm option也配置了，没有引用spring-boot-devtools

Answer 1

你是不是换了之后没有相应的库文件配置，找不到opencv的库了，要不你直接把用到的库文件复制到项目的资源里面试试