模块整理

-# 项目相关配置
jhlt:
  # 名称
  name: zhonglai
  # 版本
  version: 3.8.2
  # 版权年份
  copyrightYear: 2022
  # 实例演示开关
  demoEnabled: true
  # 文件路径 示例（ Windows配置D:/ruoyi/uploadPath，Linux配置 /home/ruoyi/uploadPath）
  profile: uploadPath
  # 获取ip地址开关
  addressEnabled: false
  # 验证码类型 math 数组计算 char 字符验证
  captchaType: math

token:
  # 令牌自定义标识
  header: Authorization
  # 令牌密钥
  secret: abcdefghijklmnopqrstuvwxyz
  # 令牌有效期（默认30分钟）
  expireTime: 1440
  rediskey: lh-openai

# 开发环境配置
server:
  # 服务器的HTTP端口，默认为8080
  port: 8062
  servlet:
    # 应用的访问路径
    context-path: /
  tomcat:
    # tomcat的URI编码
    uri-encoding: UTF-8
    # 连接数满后的排队数，默认为100
    accept-count: 1000
    threads:
      # tomcat最大线程数，默认为200
      max: 800
      # Tomcat启动初始化的线程数，默认值10
      min-spare: 100

# 日志配置
logging:
  level:
    com.ruoyi: debug
    org.springframework: warn

# Spring配置
spring:
  # 模板引擎
  thymeleaf:
    mode: HTML
    encoding: utf-8
    # 禁用缓存
    cache: false
    prefix: classpath:/static/
    suffix: .html
  # 资源信息
  messages:
    # 国际化资源文件路径
    basename: i18n/messages
  profiles:
    active: druid
  # 文件上传
  servlet:
    multipart:
      # 单个文件大小
      max-file-size:  10MB
      # 设置总上传的文件大小
      max-request-size:  20MB
  # 服务模块
  devtools:
    restart:
      # 热部署开关
      enabled: true

  # redis 配置
  redis:
    # 地址
    host: 47.112.163.61
    # 端口，默认为6379
    port: 9527
    # 数据库索引
    database: 1
    # 密码
    password: Luhui586
    # 连接超时时间
    timeout: 10s
    lettuce:
      pool:
        # 连接池中的最小空闲连接
        min-idle: 0
        # 连接池中的最大空闲连接
        max-idle: 8
        # 连接池的最大数据库连接数
        max-active: 8
        # #连接池最大阻塞等待时间（使用负值表示没有限制）
        max-wait: -1ms

# MyBatis配置
mybatis:
  # 搜索指定包别名
  typeAliasesPackage: com.ruoyi.**.domain,com.zhonglai.**.domain
  # 配置mapper的扫描，找到所有的mapper.xml映射文件
  mapperLocations: classpath*:mapper/**/*Mapper.xml
  # 加载全局的配置文件
  configLocation: classpath:mybatis/mybatis-config.xml

# PageHelper分页插件
pagehelper:
  helperDialect: mysql
  supportMethodsArguments: true
  params: count=countSql

# Swagger配置
swagger:
  # 是否开启swagger
  enabled: true
  # 请求前缀
  pathMapping: /dev-api

# 防止XSS攻击
xss:
  # 过滤开关
  enabled: true
  # 排除链接（多个用逗号分隔）
  excludes: /system/notice
  # 匹配链接
  urlPatterns: /system/*,/monitor/*,/tool/*

sys:
  ## // 对于登录login 注册register 验证码captchaImage 允许匿名访问
  antMatchers: /register,/captchaImage,/getCacheObject,/v2/api-docs
  domainname: http://120.79.198.245:8062
+# 项目相关配置
jhlt:
  # 名称
  name: zhonglai
  # 版本
  version: 3.8.2
  # 版权年份
  copyrightYear: 2022
  # 实例演示开关
  demoEnabled: true
  # 文件路径 示例（ Windows配置D:/ruoyi/uploadPath，Linux配置 /home/ruoyi/uploadPath）
  profile: uploadPath
  # 获取ip地址开关
  addressEnabled: false
  # 验证码类型 math 数组计算 char 字符验证
  captchaType: math

token:
  # 令牌自定义标识
  header: Authorization
  # 令牌密钥
  secret: abcdefghijklmnopqrstuvwxyz
  # 令牌有效期（默认30分钟）
  expireTime: 1440
  rediskey: lh-openai

# 开发环境配置
server:
  # 服务器的HTTP端口，默认为8080
  port: 8063
  servlet:
    # 应用的访问路径
    context-path: /
  tomcat:
    # tomcat的URI编码
    uri-encoding: UTF-8
    # 连接数满后的排队数，默认为100
    accept-count: 1000
    threads:
      # tomcat最大线程数，默认为200
      max: 800
      # Tomcat启动初始化的线程数，默认值10
      min-spare: 100

# 日志配置
logging:
  level:
    com.ruoyi: debug
    org.springframework: warn

# Spring配置
spring:
  # 模板引擎
  thymeleaf:
    mode: HTML
    encoding: utf-8
    # 禁用缓存
    cache: false
    prefix: classpath:/static/
    suffix: .html
  # 资源信息
  messages:
    # 国际化资源文件路径
    basename: i18n/messages
  profiles:
    active: druid
  # 文件上传
  servlet:
    multipart:
      # 单个文件大小
      max-file-size:  10MB
      # 设置总上传的文件大小
      max-request-size:  20MB
  # 服务模块
  devtools:
    restart:
      # 热部署开关
      enabled: true

  # redis 配置
  redis:
    # 地址
    host: 47.112.163.61
    # 端口，默认为6379
    port: 9527
    # 数据库索引
    database: 1
    # 密码
    password: Luhui586
    # 连接超时时间
    timeout: 10s
    lettuce:
      pool:
        # 连接池中的最小空闲连接
        min-idle: 0
        # 连接池中的最大空闲连接
        max-idle: 8
        # 连接池的最大数据库连接数
        max-active: 8
        # #连接池最大阻塞等待时间（使用负值表示没有限制）
        max-wait: -1ms

# MyBatis配置
mybatis:
  # 搜索指定包别名
  typeAliasesPackage: com.ruoyi.**.domain,com.zhonglai.**.domain
  # 配置mapper的扫描，找到所有的mapper.xml映射文件
  mapperLocations: classpath*:mapper/**/*Mapper.xml
  # 加载全局的配置文件
  configLocation: classpath:mybatis/mybatis-config.xml

# PageHelper分页插件
pagehelper:
  helperDialect: mysql
  supportMethodsArguments: true
  params: count=countSql

# Swagger配置
swagger:
  # 是否开启swagger
  enabled: true
  # 请求前缀
  pathMapping: /dev-api

# 防止XSS攻击
xss:
  # 过滤开关
  enabled: true
  # 排除链接（多个用逗号分隔）
  excludes: /system/notice
  # 匹配链接
  urlPatterns: /system/*,/monitor/*,/tool/*

sys:
  ## // 对于登录login 注册register 验证码captchaImage 允许匿名访问
  antMatchers: /register,/captchaImage,/getCacheObject,/v2/api-docs
  domainname: http://120.79.198.245:8062

+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>com.zhonglai.luhui</groupId>
+        <artifactId>lh-modules</artifactId>
+        <version>1.0-SNAPSHOT</version>
+    </parent>
+
+    <artifactId>lh-smart-feeder</artifactId>
+
+    <properties>
+        <maven.compiler.source>8</maven.compiler.source>
+        <maven.compiler.target>8</maven.compiler.target>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+    </properties>
+    <dependencies>
+
+        <dependency>
+            <groupId>com.zhonglai.luhui</groupId>
+            <artifactId>ruoyi-framework</artifactId>
+            <exclusions>
+                <exclusion>
+                    <groupId>org.springframework.boot</groupId>
+                    <artifactId>spring-boot-devtools</artifactId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+        <dependency>
+            <groupId>org.aspectj</groupId>
+            <artifactId>aspectjweaver</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>org.aspectj</groupId>
+            <artifactId>aspectjrt</artifactId>
+        </dependency>
+
+
+        <!-- OpenCV -->
+        <dependency>
+            <groupId>org</groupId>
+            <artifactId>opencv</artifactId>
+            <version>4.5.1</version>
+            <scope>system</scope>
+            <systemPath>${project.basedir}\src\main\resources\lib\opencv-451.jar</systemPath>
+        </dependency>
+
+        <!-- 视频处理库 -->
+        <!-- https://mvnrepository.com/artifact/org.bytedeco/javacv-platform -->
+        <dependency>
+            <groupId>org.bytedeco</groupId>
+            <artifactId>javacv-platform</artifactId>
+            <version>1.5.4</version>
+        </dependency>
+
+    </dependencies>
+</project>

+package com.zhonglai.luhui.smart.feeder;
+
+import com.zhonglai.luhui.smart.feeder.config.OpenCVConfig;
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
+import org.springframework.context.annotation.ComponentScan;
+import org.springframework.scheduling.annotation.EnableScheduling;
+
+import java.io.*;
+import java.net.URL;
+
+@ComponentScan(basePackages = {
+        "com.ruoyi.common",
+        "com.ruoyi.framework",
+}
+)
+@EnableScheduling
+@SpringBootApplication(exclude = { DataSourceAutoConfiguration.class})
+public class Main {
+    private static final Logger logger = LoggerFactory.getLogger(Main.class);
+
+    public static void main(String[] args) {
+        OpenCVConfig.loadOpenCv(args);
+        SpringApplication.run(Main.class,args);
+    }
+}

+package com.zhonglai.luhui.smart.feeder.config;
+
+import com.zhonglai.luhui.smart.feeder.Main;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.File;
+import java.net.URL;
+
+public class OpenCVConfig {
+    private static final Logger logger = LoggerFactory.getLogger(Main.class);
+    public static void loadOpenCv(String[] args)
+    {
+        String fileName = "dll/x64/opencv_java451.dll";
+        URL url = ClassLoader.getSystemResource("dll/x64/opencv_java451.dll");
+        if(null != url)
+        {
+            fileName = url.getPath();
+        }
+        if(null != args && args.length>=1)
+        {
+            fileName = args[0];
+        }
+        String path = new File(fileName).getAbsolutePath();
+        logger.info("加载："+path);
+        System.load(path);
+    }
+}

+package com.zhonglai.luhui.smart.feeder.service;
+
+import com.zhonglai.luhui.smart.feeder.config.OpenCVConfig;
+import com.zhonglai.luhui.smart.feeder.util.OpenCVUtils;
+import org.opencv.core.Core;
+import org.opencv.core.Mat;
+import org.opencv.videoio.VideoCapture;
+import org.opencv.imgproc.Imgproc;
+import org.opencv.core.MatOfPoint;
+import org.opencv.core.Scalar;
+import org.opencv.core.CvType;
+import org.opencv.core.Rect;
+
+import javax.swing.*;
+import java.awt.image.BufferedImage;
+import java.util.ArrayList;
+import java.util.List;
+
+public class OpenCVService {
+    public static void main(String[] args) {
+        OpenCVConfig.loadOpenCv(args);
+        readVideoCaptureForVideo("C:/Users/123/Pictures/图片识别/6月30日.mp4");
+    }
+    public static void readVideoCaptureForVideo(String videoPath)
+    {
+        // 创建VideoCapture对象
+        VideoCapture videoCapture = new VideoCapture();
+        boolean isopen = videoCapture.open(videoPath);
+        System.out.println(isopen);
+        // 检查视频是否成功打开
+        if (!videoCapture.isOpened()) {
+            System.out.println("无法打开视频文件");
+            return;
+        }
+        // 背景帧
+        Mat backgroundFrame = new Mat();
+
+        // 初始阈值范围
+        double minAreaThreshold = Double.MAX_VALUE;
+        double maxAreaThreshold = 0;
+
+        // 逐帧处理视频
+        Mat frame = new Mat();
+        while (videoCapture.read(frame)) {
+            // 背景差分
+            Mat diffFrame = new Mat();
+            Core.absdiff(frame, backgroundFrame, diffFrame);
+
+            // 灰度转换
+            Mat grayFrame = new Mat();
+            Imgproc.cvtColor(diffFrame, grayFrame, Imgproc.COLOR_BGR2GRAY);
+
+            // 阈值处理
+            Mat thresholdFrame = new Mat();
+            Imgproc.threshold(grayFrame, thresholdFrame, 30, 255, Imgproc.THRESH_BINARY);
+
+            // 边缘检测
+            Mat edges = new Mat();
+            Imgproc.Canny(thresholdFrame, edges, 100, 200);
+
+            // 轮廓检测
+            List<MatOfPoint> contours = new ArrayList<>();
+            Mat hierarchy = new Mat();
+            Imgproc.findContours(edges, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
+
+            // 更新阈值范围
+            for (MatOfPoint contour : contours) {
+                double area = Imgproc.contourArea(contour);
+                if (area > maxAreaThreshold) {
+                    maxAreaThreshold = area;
+                }
+                if (area < minAreaThreshold) {
+                    minAreaThreshold = area;
+                }
+            }
+
+            // 根据阈值范围选择适当的阈值
+            double thresholdValue = (maxAreaThreshold + minAreaThreshold) / 2.0;
+
+            // 绘制轮廓
+            Mat contourImage = new Mat(frame.size(), CvType.CV_8UC3, new Scalar(0, 0, 0));
+            Imgproc.drawContours(contourImage, contours, -1, new Scalar(0, 255, 0), 2);
+
+            // 提取鱼群区域
+            for (MatOfPoint contour : contours) {
+                double area = Imgproc.contourArea(contour);
+                if (area > thresholdValue) {
+                    // 对于满足面积阈值的轮廓，可以进一步处理或分析
+                    // 例如，计算鱼群数量、中心位置等信息
+                    // ...
+
+                    // 在原图上绘制鱼群区域
+                    Rect boundingRect = Imgproc.boundingRect(contour);
+                    Imgproc.rectangle(frame, boundingRect.tl(), boundingRect.br(), new Scalar(0, 255, 0), 2);
+                }
+            }
+            // 重置阈值范围
+            minAreaThreshold = Double.MAX_VALUE;
+            maxAreaThreshold = 0;
+
+            // 在图像上显示结果
+            displayImage(frame);
+        }
+
+    }
+
+    // 显示图像
+    private static void displayImage(Mat image) {
+        // 将Mat图像转换为BufferedImage
+        BufferedImage bufferedImage = OpenCVUtils.matToBufferedImage(image);
+
+        // 在标签上显示图像
+        new ImageIcon(bufferedImage);
+
+        // 更新窗口
+    }
+}

+package com.zhonglai.luhui.smart.feeder.util;
+
+import org.opencv.core.*;
+import org.opencv.imgcodecs.Imgcodecs;
+import org.opencv.imgproc.Imgproc;
+
+import javax.imageio.ImageIO;
+import java.awt.image.BufferedImage;
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+
+public class OpenCVUtils {
+    // 将Mat图像转换为BufferedImage
+    public static BufferedImage matToBufferedImage(Mat mat) {
+        MatOfByte matOfByte = new MatOfByte();
+        Imgcodecs.imencode(".jpg", mat, matOfByte);
+
+        try {
+            byte[] byteArray = matOfByte.toArray();
+            ByteArrayInputStream bis = new ByteArrayInputStream(byteArray);
+            return ImageIO.read(bis);
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+
+        return null;
+    }
+
+    // 将BufferedImage图像转换为Mat
+    public static Mat bufferedImageToMat(BufferedImage image) {
+        ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
+        try {
+            ImageIO.write(image, "jpg", byteArrayOutputStream);
+            byteArrayOutputStream.flush();
+            byte[] byteArray = byteArrayOutputStream.toByteArray();
+            byteArrayOutputStream.close();
+            return Imgcodecs.imdecode(new MatOfByte(byteArray), Imgcodecs.IMREAD_UNCHANGED);
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+
+        return null;
+    }
+
+    // 调整图像大小
+    public static Mat resize(Mat image, int width, int height) {
+        Mat resizedImage = new Mat();
+        Size newSize = new Size(width, height);
+        Imgproc.resize(image, resizedImage, newSize);
+        return resizedImage;
+    }
+
+    // 图像灰度化
+    public static Mat convertToGray(Mat image) {
+        Mat grayImage = new Mat();
+        Imgproc.cvtColor(image, grayImage, Imgproc.COLOR_BGR2GRAY);
+        return grayImage;
+    }
+
+    // 示例使用
+    public static void main(String[] args) {
+        // 加载OpenCV库
+        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
+
+        // 读取图像
+        Mat image = Imgcodecs.imread("path_to_your_image_file");
+
+        // 将Mat图像转换为BufferedImage
+        BufferedImage bufferedImage = matToBufferedImage(image);
+
+        // 将BufferedImage图像转换为Mat
+        Mat matImage = bufferedImageToMat(bufferedImage);
+
+        // 调整图像大小
+        int newWidth = 640;
+        int newHeight = 480;
+        Mat resizedImage = resize(matImage, newWidth, newHeight);
+
+        // 图像灰度化
+        Mat grayImage = convertToGray(resizedImage);
+
+        // 在这里对处理后的图像进行操作或显示
+        // ...
+    }
+}

+package com.zhonglai.luhui.smart.feeder.util;
+
+import com.zhonglai.luhui.smart.feeder.config.OpenCVConfig;
+import org.bytedeco.javacv.FFmpegFrameGrabber;
+import org.bytedeco.javacv.Frame;
+import org.bytedeco.javacv.Java2DFrameConverter;
+
+import javax.imageio.ImageIO;
+import java.awt.*;
+import java.awt.image.BufferedImage;
+import java.io.File;
+
+public class VideoUtil {
+    /**
+     * 获取指定视频的帧并保存为图片至指定目录
+     * @param file  源视频文件
+     * @param framefile  截取帧的图片存放路径
+     * @throws Exception
+     */
+    public static void fetchPic(File file, String framefile, int second) throws Exception{
+        FFmpegFrameGrabber ff = new FFmpegFrameGrabber(file);
+        ff.start();
+        int lenght = ff.getLengthInAudioFrames();
+        System.out.println(ff.getFrameRate());
+
+        File pathFile = new File(framefile);
+        if( !pathFile.exists())
+        {
+            pathFile.mkdirs();
+        }
+
+        int i = 0;
+        Frame frame = null;
+        while (i < lenght) {
+            frame = ff.grabImage();
+            if (i>=(int) (ff.getFrameRate()*second)&&frame.image != null) {
+                System.out.print(i+",");
+                if(frame!=null&&frame.image!=null) {
+                    System.out.println(i);
+                    writeToFile(framefile,frame, i);
+                }
+                second++;
+            }
+            i++;
+        }
+        ff.stop();
+    }
+
+    public static void writeToFile(String framefile,Frame frame,int second){
+        File targetFile = new File(framefile+second+".jpg");
+        String imgSuffix = "jpg";
+
+        Java2DFrameConverter converter =new Java2DFrameConverter();
+        BufferedImage srcBi =converter.getBufferedImage(frame);
+        int owidth = srcBi.getWidth();
+        int oheight = srcBi.getHeight();
+        // 对截取的帧进行等比例缩放
+        int width = 800;
+        int height = (int) (((double) width / owidth) * oheight);
+        BufferedImage bi = new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);
+        bi.getGraphics().drawImage(srcBi.getScaledInstance(width, height, Image.SCALE_SMOOTH),0, 0, null);
+        try {
+            ImageIO.write(bi, imgSuffix, targetFile);
+        }catch (Exception e) {
+            e.printStackTrace();
+        }
+    }
+
+
+    /**
+     * 获取视频时长，单位为秒
+     * @param file
+     * @return 时长（s）
+     */
+    public static Long getVideoTime(File file){
+        Long times = 0L;
+        try {
+            FFmpegFrameGrabber ff = new FFmpegFrameGrabber(file);
+            ff.start();
+            times = ff.getLengthInTime()/(1000*1000);
+            ff.stop();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        return times;
+    }
+
+    public static void main(String[] args){
+        try {
+            OpenCVConfig.loadOpenCv(args);
+            File file = new File("C:\\Users\\123\\Pictures\\图片识别\\20210107_100743.mp4");
+            VideoUtil.fetchPic(file,"C:\\Users\\123\\Pictures\\图片识别\\1\\",100);
+            System.out.println(VideoUtil.getVideoTime(file));
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+    }
+}

+# 开发环境配置
server:
  # 服务器的HTTP端口，默认为8080
  port: 8064
  servlet:
    # 应用的访问路径
    context-path: /
  tomcat:
    # tomcat的URI编码
    uri-encoding: UTF-8
    # 连接数满后的排队数，默认为100
    accept-count: 1000
    threads:
      # tomcat最大线程数，默认为200
      max: 800
      # Tomcat启动初始化的线程数，默认值10
      min-spare: 100

# 日志配置
logging:
  level:
    com.ruoyi: debug
    org.springframework: warn

# Swagger配置
swagger:
  # 是否开启swagger
  enabled: true
  # 请求前缀
  pathMapping: /dev-api

# 防止XSS攻击
xss:
  # 过滤开关
  enabled: true
  # 排除链接（多个用逗号分隔）
  excludes: /system/notice
  # 匹配链接
  urlPatterns: /system/*,/monitor/*,/tool/*

@@ -23,6 +23,7 @@
         <module>lh-login</module>
         <module>lh-login</module>
         <module>lh-chatgpt-api</module>
         <module>lh-chatgpt-api</module>
         <module>lh-runingfish</module>
         <module>lh-runingfish</module>
+        <module>lh-smart-feeder</module>
     </modules>
     </modules>
 
 
     <properties>
     <properties>