initial commit ; currently it wont build :C

.gitignore

@@ -0,0 +1,43 @@
+.gradle
+build/
+!gradle/wrapper/gradle-wrapper.jar
+!**/src/main/**/build/
+!**/src/test/**/build/
+
+### IntelliJ IDEA ###
+.idea/modules.xml
+.idea/jarRepositories.xml
+.idea/compiler.xml
+.idea/libraries/
+*.iws
+*.iml
+*.ipr
+out/
+!**/src/main/**/out/
+!**/src/test/**/out/
+
+### Eclipse ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+bin/
+!**/src/main/**/bin/
+!**/src/test/**/bin/
+
+### NetBeans ###
+/nbproject/private/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
+
+### VS Code ###
+.vscode/
+
+### Mac OS ###
+.DS_Store
+/.idea/

build.gradle.kts

@@ -0,0 +1,20 @@
+plugins {
+    id("java")
+}
+
+group = "org.jdetect"
+version = "1.0-SNAPSHOT"
+
+repositories {
+    mavenCentral()
+}
+
+dependencies {
+    implementation("org.openpnp:opencv:4.5.1-2")
+    testImplementation(platform("org.junit:junit-bom:5.10.0"))
+    testImplementation("org.junit.jupiter:junit-jupiter")
+}
+
+tasks.test {
+    useJUnitPlatform()
+}

gradle/wrapper/gradle-wrapper.properties

@@ -0,0 +1,6 @@
+#Sun May 25 13:46:09 CEST 2025
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-8.14-bin.zip
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists

gradlew

@@ -0,0 +1,234 @@
+#!/bin/sh
+
+#
+# Copyright © 2015-2021 the original authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+##############################################################################
+#
+#   Gradle start up script for POSIX generated by Gradle.
+#
+#   Important for running:
+#
+#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
+#       noncompliant, but you have some other compliant shell such as ksh or
+#       bash, then to run this script, type that shell name before the whole
+#       command line, like:
+#
+#           ksh Gradle
+#
+#       Busybox and similar reduced shells will NOT work, because this script
+#       requires all of these POSIX shell features:
+#         * functions;
+#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
+#           «${var#prefix}», «${var%suffix}», and «$( cmd )»;
+#         * compound commands having a testable exit status, especially «case»;
+#         * various built-in commands including «command», «set», and «ulimit».
+#
+#   Important for patching:
+#
+#   (2) This script targets any POSIX shell, so it avoids extensions provided
+#       by Bash, Ksh, etc; in particular arrays are avoided.
+#
+#       The "traditional" practice of packing multiple parameters into a
+#       space-separated string is a well documented source of bugs and security
+#       problems, so this is (mostly) avoided, by progressively accumulating
+#       options in "$@", and eventually passing that to Java.
+#
+#       Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
+#       and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
+#       see the in-line comments for details.
+#
+#       There are tweaks for specific operating systems such as AIX, CygWin,
+#       Darwin, MinGW, and NonStop.
+#
+#   (3) This script is generated from the Groovy template
+#       https://github.com/gradle/gradle/blob/master/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
+#       within the Gradle project.
+#
+#       You can find Gradle at https://github.com/gradle/gradle/.
+#
+##############################################################################
+
+# Attempt to set APP_HOME
+
+# Resolve links: $0 may be a link
+app_path=$0
+
+# Need this for daisy-chained symlinks.
+while
+    APP_HOME=${app_path%"${app_path##*/}"}  # leaves a trailing /; empty if no leading path
+    [ -h "$app_path" ]
+do
+    ls=$( ls -ld "$app_path" )
+    link=${ls#*' -> '}
+    case $link in             #(
+      /*)   app_path=$link ;; #(
+      *)    app_path=$APP_HOME$link ;;
+    esac
+done
+
+APP_HOME=$( cd "${APP_HOME:-./}" && pwd -P ) || exit
+
+APP_NAME="Gradle"
+APP_BASE_NAME=${0##*/}
+
+# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
+
+# Use the maximum available, or set MAX_FD != -1 to use that value.
+MAX_FD=maximum
+
+warn () {
+    echo "$*"
+} >&2
+
+die () {
+    echo
+    echo "$*"
+    echo
+    exit 1
+} >&2
+
+# OS specific support (must be 'true' or 'false').
+cygwin=false
+msys=false
+darwin=false
+nonstop=false
+case "$( uname )" in                #(
+  CYGWIN* )         cygwin=true  ;; #(
+  Darwin* )         darwin=true  ;; #(
+  MSYS* | MINGW* )  msys=true    ;; #(
+  NONSTOP* )        nonstop=true ;;
+esac
+
+CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
+
+
+# Determine the Java command to use to start the JVM.
+if [ -n "$JAVA_HOME" ] ; then
+    if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+        # IBM's JDK on AIX uses strange locations for the executables
+        JAVACMD=$JAVA_HOME/jre/sh/java
+    else
+        JAVACMD=$JAVA_HOME/bin/java
+    fi
+    if [ ! -x "$JAVACMD" ] ; then
+        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+else
+    JAVACMD=java
+    which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+fi
+
+# Increase the maximum file descriptors if we can.
+if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
+    case $MAX_FD in #(
+      max*)
+        MAX_FD=$( ulimit -H -n ) ||
+            warn "Could not query maximum file descriptor limit"
+    esac
+    case $MAX_FD in  #(
+      '' | soft) :;; #(
+      *)
+        ulimit -n "$MAX_FD" ||
+            warn "Could not set maximum file descriptor limit to $MAX_FD"
+    esac
+fi
+
+# Collect all arguments for the java command, stacking in reverse order:
+#   * args from the command line
+#   * the main class name
+#   * -classpath
+#   * -D...appname settings
+#   * --module-path (only if needed)
+#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
+
+# For Cygwin or MSYS, switch paths to Windows format before running java
+if "$cygwin" || "$msys" ; then
+    APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
+    CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" )
+
+    JAVACMD=$( cygpath --unix "$JAVACMD" )
+
+    # Now convert the arguments - kludge to limit ourselves to /bin/sh
+    for arg do
+        if
+            case $arg in                                #(
+              -*)   false ;;                            # don't mess with options #(
+              /?*)  t=${arg#/} t=/${t%%/*}              # looks like a POSIX filepath
+                    [ -e "$t" ] ;;                      #(
+              *)    false ;;
+            esac
+        then
+            arg=$( cygpath --path --ignore --mixed "$arg" )
+        fi
+        # Roll the args list around exactly as many times as the number of
+        # args, so each arg winds up back in the position where it started, but
+        # possibly modified.
+        #
+        # NB: a `for` loop captures its iteration list before it begins, so
+        # changing the positional parameters here affects neither the number of
+        # iterations, nor the values presented in `arg`.
+        shift                   # remove old arg
+        set -- "$@" "$arg"      # push replacement arg
+    done
+fi
+
+# Collect all arguments for the java command;
+#   * $DEFAULT_JVM_OPTS, $JAVA_OPTS, and $GRADLE_OPTS can contain fragments of
+#     shell script including quotes and variable substitutions, so put them in
+#     double quotes to make sure that they get re-expanded; and
+#   * put everything else in single quotes, so that it's not re-expanded.
+
+set -- \
+        "-Dorg.gradle.appname=$APP_BASE_NAME" \
+        -classpath "$CLASSPATH" \
+        org.gradle.wrapper.GradleWrapperMain \
+        "$@"
+
+# Use "xargs" to parse quoted args.
+#
+# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
+#
+# In Bash we could simply go:
+#
+#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
+#   set -- "${ARGS[@]}" "$@"
+#
+# but POSIX shell has neither arrays nor command substitution, so instead we
+# post-process each arg (as a line of input to sed) to backslash-escape any
+# character that might be a shell metacharacter, then use eval to reverse
+# that process (while maintaining the separation between arguments), and wrap
+# the whole thing up as a single "set" statement.
+#
+# This will of course break if any of these variables contains a newline or
+# an unmatched quote.
+#
+
+eval "set -- $(
+        printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
+        xargs -n1 |
+        sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
+        tr '\n' ' '
+    )" '"$@"'
+
+exec "$JAVACMD" "$@"

gradlew.bat

@@ -0,0 +1,89 @@
+@rem
+@rem Copyright 2015 the original author or authors.
+@rem
+@rem Licensed under the Apache License, Version 2.0 (the "License");
+@rem you may not use this file except in compliance with the License.
+@rem You may obtain a copy of the License at
+@rem
+@rem      https://www.apache.org/licenses/LICENSE-2.0
+@rem
+@rem Unless required by applicable law or agreed to in writing, software
+@rem distributed under the License is distributed on an "AS IS" BASIS,
+@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+@rem See the License for the specific language governing permissions and
+@rem limitations under the License.
+@rem
+
+@if "%DEBUG%" == "" @echo off
+@rem ##########################################################################
+@rem
+@rem  Gradle startup script for Windows
+@rem
+@rem ##########################################################################
+
+@rem Set local scope for the variables with windows NT shell
+if "%OS%"=="Windows_NT" setlocal
+
+set DIRNAME=%~dp0
+if "%DIRNAME%" == "" set DIRNAME=.
+set APP_BASE_NAME=%~n0
+set APP_HOME=%DIRNAME%
+
+@rem Resolve any "." and ".." in APP_HOME to make it shorter.
+for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
+
+@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
+
+@rem Find java.exe
+if defined JAVA_HOME goto findJavaFromJavaHome
+
+set JAVA_EXE=java.exe
+%JAVA_EXE% -version >NUL 2>&1
+if "%ERRORLEVEL%" == "0" goto execute
+
+echo.
+echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:findJavaFromJavaHome
+set JAVA_HOME=%JAVA_HOME:"=%
+set JAVA_EXE=%JAVA_HOME%/bin/java.exe
+
+if exist "%JAVA_EXE%" goto execute
+
+echo.
+echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:execute
+@rem Setup the command line
+
+set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
+
+
+@rem Execute Gradle
+"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
+
+:end
+@rem End local scope for the variables with windows NT shell
+if "%ERRORLEVEL%"=="0" goto mainEnd
+
+:fail
+rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
+rem the _cmd.exe /c_ return code!
+if  not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
+exit /b 1
+
+:mainEnd
+if "%OS%"=="Windows_NT" endlocal
+
+:omega

settings.gradle.kts

@@ -0,0 +1 @@
+rootProject.name = "MultiJDetect"

src/main/java/org/jdetect/CameraPanel.java

@@ -0,0 +1,126 @@
+package org.jdetect;
+
+import org.opencv.core.*;
+import org.opencv.videoio.VideoCapture;
+
+import javax.swing.*;
+import java.awt.*;
+import java.awt.event.ActionEvent;
+import java.awt.image.BufferedImage;
+
+public class CameraPanel extends JPanel {
+    private final VideoCapture cap;
+    private final JLabel videoLabel;
+    private final JLabel statusLabel;
+    private DetectionThread detectionThread;
+    private Timer timer;
+    private final String source;
+    private int frameCounter = 0;
+    private static final int DETECTION_INTERVAL = 5;
+
+    public CameraPanel(String source) {
+        this.source = source;
+        boolean isStream = source.startsWith("rtsp://") || source.startsWith("https://");
+
+        setLayout(new BorderLayout());
+        setBorder(BorderFactory.createEtchedBorder());
+
+        // Video display
+        videoLabel = new JLabel();
+        videoLabel.setHorizontalAlignment(SwingConstants.CENTER);
+        add(videoLabel, BorderLayout.CENTER);
+
+        // Controls panel
+        JPanel controlsPanel = new JPanel(new FlowLayout(FlowLayout.LEFT));
+
+        JButton snapshotButton = new JButton("Snapshot");
+        snapshotButton.addActionListener(this::takeSnapshot);
+        controlsPanel.add(snapshotButton);
+
+        JButton stopButton = new JButton("Remove");
+        stopButton.addActionListener(e -> stop());
+        controlsPanel.add(stopButton);
+
+        add(controlsPanel, BorderLayout.SOUTH);
+
+        // Status label
+        statusLabel = new JLabel("Initializing...");
+        add(statusLabel, BorderLayout.NORTH);
+
+        // Initialize video source
+        if (isStream) {
+            cap = new VideoCapture(source);
+        } else {
+            try {
+                int index = Integer.parseInt(source);
+                cap = new VideoCapture(index);
+            } catch (NumberFormatException e) {
+                throw new IllegalArgumentException("Invalid camera source: " + source);
+            }
+        }
+
+        if (!cap.isOpened()) {
+            statusLabel.setText("Failed to open: " + source);
+            return;
+        }
+
+        timer = new Timer(30, e -> updateFrame());
+        timer.start();
+        statusLabel.setText("Active: " + source);
+    }
+
+    private void updateFrame() {
+        Mat frame = new Mat();
+        if (!cap.read(frame)) {
+            statusLabel.setText("Error reading frame from: " + source);
+            return;
+        }
+
+        // Process every Nth frame for detection
+        if (frameCounter++ % DETECTION_INTERVAL == 0 && ModelLoader.getNet() != null) {
+            if (detectionThread == null || detectionThread.isDone()) {
+                Mat frameCopy = frame.clone();
+                detectionThread = new DetectionThread(
+                        ModelLoader.getNet(),
+                        ModelLoader.getClasses(),
+                        ModelLoader.getOutputLayers(),
+                        frameCopy,
+                        this::updateWithDetections
+                );
+                detectionThread.execute();
+            }
+        }
+
+        displayFrame(frame);
+    }
+
+    private void updateWithDetections(Mat frame) {
+        SwingUtilities.invokeLater(() -> displayFrame(frame));
+    }
+
+    private void displayFrame(Mat frame) {
+        BufferedImage image = ImageUtils.matToBufferedImage(frame);
+        ImageIcon icon = new ImageIcon(image);
+        videoLabel.setIcon(icon);
+    }
+
+    private void takeSnapshot(ActionEvent e) {
+        Mat frame = new Mat();
+        if (cap.read(frame) && !frame.empty()) {
+            ImageUtils.saveImage(frame);
+        }
+    }
+
+    public void stop() {
+        timer.stop();
+        if (cap != null) cap.release();
+        if (detectionThread != null) detectionThread.cancel(true);
+
+        Container parent = getParent();
+        if (parent != null) {
+            parent.remove(this);
+            parent.revalidate();
+            parent.repaint();
+        }
+    }
+}

src/main/java/org/jdetect/DetectionThread.java

@@ -0,0 +1,127 @@
+package org.jdetect;
+
+import org.opencv.core.*;
+import org.opencv.dnn.Dnn;
+import org.opencv.imgproc.Imgproc;
+import org.opencv.dnn.Net;
+
+import javax.swing.*;
+import java.util.ArrayList;
+import java.util.List;
+
+public class DetectionThread extends SwingWorker<Mat, Void> {
+    private final Net net;
+    private final List<String> classes;
+    private final List<String> outputLayers;
+    private final Mat frame;
+    private final DetectionCallback callback;
+
+    public DetectionThread(Net net, List<String> classes, List<String> outputLayers,
+                           Mat frame, DetectionCallback callback) {
+        this.net = net;
+        this.classes = classes;
+        this.outputLayers = outputLayers;
+        this.frame = frame;
+        this.callback = callback;
+    }
+
+    @Override
+    protected Mat doInBackground() {
+        if (net == null || classes == null) return frame;
+
+        try {
+            // Create blob from image (resize to 416x416 for YOLO)
+            Mat blob = Dnn.blobFromImage(frame, 1.0/255.0, new Size(416, 416),
+                    new Scalar(0), true, false);
+
+            net.setInput(blob);
+            List<Mat> outs = new ArrayList<>();
+            net.forward(outs, outputLayers);
+
+            // Process detections
+            processDetections(frame, outs);
+            return frame;
+        } catch (Exception e) {
+            e.printStackTrace();
+            return frame;
+        }
+    }
+
+    private void processDetections(Mat frame, List<Mat> outs) {
+        List<Rect> boxes = new ArrayList<>();
+        List<Float> confidences = new ArrayList<>();
+        List<Integer> classIds = new ArrayList<>();
+
+        for (Mat out : outs) {
+            float[] data = new float[(int) out.total() * out.channels()];
+            out.get(0, 0, data);
+
+            for (int i = 0; i < out.rows(); i++) {
+                int offset = i * out.cols();
+                float confidence = data[offset + 4];
+
+                if (confidence > 0.5) { // Confidence threshold
+                    int classId = 0;
+                    float maxScore = 0;
+                    for (int j = 5; j < out.cols(); j++) {
+                        if (data[offset + j] > maxScore) {
+                            maxScore = data[offset + j];
+                            classId = j - 5;
+                        }
+                    }
+
+                    if (maxScore > 0.5 && classId < classes.size()) {
+                        float width = data[offset + 2] * frame.cols();
+                        float height = data[offset + 3] * frame.rows();
+                        float x = (data[offset] * frame.cols()) - (width / 2);
+                        float y = (data[offset + 1] * frame.rows()) - (height / 2);
+
+                        boxes.add(new Rect((int)x, (int)y, (int)width, (int)height));
+                        confidences.add(confidence);
+                        classIds.add(classId);
+                    }
+                }
+            }
+        }
+
+        // Apply Non-Maximum Suppression
+        List<Rect2d> rect2dBoxes = new ArrayList<>();
+        for (Rect box : boxes) {
+            rect2dBoxes.add(new Rect2d(box.x, box.y, box.width, box.height));
+        }
+        MatOfRect2d boxesMat = new MatOfRect2d();
+        boxesMat.fromList(rect2dBoxes);
+
+        MatOfFloat confidencesMat = new MatOfFloat();
+        confidencesMat.fromList(confidences);
+        MatOfInt indices = new MatOfInt();
+        Dnn.NMSBoxes(boxesMat, confidencesMat, 0.5f, 0.4f, indices);
+
+        // Draw detections
+        for (int i : indices.toArray()) {
+            Rect box = boxes.get(i);
+            String label = classes.get(classIds.get(i));
+            float confidence = confidences.get(i);
+
+            Imgproc.rectangle(frame, box, new Scalar(0, 255, 0), 2);
+            String text = String.format("%s %.2f", label, confidence);
+            Imgproc.putText(frame, text, new Point(box.x, box.y - 5),
+                    Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, new Scalar(0, 255, 0), 1);
+        }
+    }
+
+    @Override
+    protected void done() {
+        try {
+            if (!isCancelled()) {
+                callback.onDetectionComplete(get());
+            }
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+    }
+
+    public interface DetectionCallback {
+        void onDetectionComplete(Mat frame);
+    }
+}

src/main/java/org/jdetect/ImageUtils.java

@@ -0,0 +1,68 @@
+package org.jdetect;
+
+import org.opencv.core.*;
+import org.opencv.imgcodecs.Imgcodecs;
+import org.opencv.imgproc.Imgproc;
+
+import javax.swing.*;
+import java.awt.image.BufferedImage;
+import java.awt.image.DataBufferByte;
+import java.io.File;
+import java.text.SimpleDateFormat;
+import java.util.Date;
+
+public class ImageUtils {
+    public static BufferedImage matToBufferedImage(Mat mat) {
+        if (mat.channels() == 1) {
+            return grayMatToBufferedImage(mat);
+        } else {
+            return colorMatToBufferedImage(mat);
+        }
+    }
+
+    private static BufferedImage grayMatToBufferedImage(Mat mat) {
+        BufferedImage image = new BufferedImage(mat.cols(), mat.rows(), BufferedImage.TYPE_BYTE_GRAY);
+        byte[] data = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
+        mat.get(0, 0, data);
+        return image;
+    }
+
+    private static BufferedImage colorMatToBufferedImage(Mat mat) {
+        Mat rgb = new Mat();
+        Imgproc.cvtColor(mat, rgb, Imgproc.COLOR_BGR2RGB);
+
+        BufferedImage image = new BufferedImage(rgb.cols(), rgb.rows(), BufferedImage.TYPE_3BYTE_BGR);
+        byte[] data = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
+        rgb.get(0, 0, data);
+        return image;
+    }
+
+    public static void saveImage(Mat frame) {
+        JFileChooser fileChooser = new JFileChooser();
+        fileChooser.setDialogTitle("Save Snapshot");
+
+        // Suggest filename with timestamp
+        String timestamp = new SimpleDateFormat("yyyyMMdd-HHmmss").format(new Date());
+        fileChooser.setSelectedFile(new File("snapshot_" + timestamp + ".jpg"));
+
+        if (fileChooser.showSaveDialog(null) == JFileChooser.APPROVE_OPTION) {
+            File file = fileChooser.getSelectedFile();
+            String filename = file.toString();
+
+            // Ensure extension
+            if (!filename.toLowerCase().endsWith(".jpg") && !filename.toLowerCase().endsWith(".png")) {
+                filename += ".jpg";
+            }
+
+            // Convert to RGB before saving
+            Mat rgb = new Mat();
+            Imgproc.cvtColor(frame, rgb, Imgproc.COLOR_BGR2RGB);
+
+            if (Imgcodecs.imwrite(filename, rgb)) {
+                JOptionPane.showMessageDialog(null, "Image saved successfully!");
+            } else {
+                JOptionPane.showMessageDialog(null, "Failed to save image!", "Error", JOptionPane.ERROR_MESSAGE);
+            }
+        }
+    }
+}

src/main/java/org/jdetect/MainApp.java

@@ -0,0 +1,127 @@
+package org.jdetect;
+
+import org.opencv.core.Core;
+import javax.swing.*;
+import java.awt.*;
+import java.awt.event.ActionEvent;
+import java.io.IOException;
+
+public class MainApp extends JFrame {
+    private final JPanel camerasPanel;
+
+    static {
+        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
+    }
+
+    public MainApp() {
+        setTitle("Multi-Camera Object Detection");
+        setDefaultCloseOperation(EXIT_ON_CLOSE);
+        setSize(1200, 800);
+
+        // Load model
+        try {
+            ModelLoader.loadModel();
+        } catch (IOException e) {
+            JOptionPane.showMessageDialog(this, "Failed to load model: " + e.getMessage(),
+                    "Error", JOptionPane.ERROR_MESSAGE);
+            System.exit(1);
+        }
+
+        // Main content
+        camerasPanel = new JPanel(new WrapLayout(FlowLayout.LEFT, 10, 10));
+        add(new JScrollPane(camerasPanel), BorderLayout.CENTER);
+
+        // Control panel
+        JPanel controlPanel = new JPanel();
+
+        JButton addCameraBtn = new JButton("Add Camera");
+        addCameraBtn.addActionListener(this::addCamera);
+        controlPanel.add(addCameraBtn);
+
+        JButton addStreamBtn = new JButton("Add Stream");
+        addStreamBtn.addActionListener(this::addStream);
+        controlPanel.add(addStreamBtn);
+
+        add(controlPanel, BorderLayout.SOUTH);
+
+        // Add default camera
+        addCameraPanel("0");
+    }
+
+    private void addCamera(ActionEvent e) {
+        String input = JOptionPane.showInputDialog(this, "Enter camera index (0, 1, etc.):", "0");
+        if (input != null && !input.trim().isEmpty()) {
+            addCameraPanel(input.trim());
+        }
+    }
+
+    private void addStream(ActionEvent e) {
+        String input = JOptionPane.showInputDialog(this,
+                "Enter stream URL (rtsp:// or http://):",
+                "rtsp://example.com/stream");
+        if (input != null && !input.trim().isEmpty()) {
+            addCameraPanel(input.trim());
+        }
+    }
+
+    private void addCameraPanel(String source) {
+        CameraPanel panel = new CameraPanel(source);
+        camerasPanel.add(panel);
+        camerasPanel.revalidate();
+    }
+
+    public static void main(String[] args) {
+        try {
+            SwingUtilities.invokeAndWait(() -> {
+                try {
+                    UIManager.setLookAndFeel(UIManager.getSystemLookAndFeelClassName());
+                } catch (Exception e) {
+                    e.printStackTrace();
+                }
+
+                MainApp app = new MainApp();
+                app.setVisible(true);
+            });
+        } catch (Exception ex) {
+            ex.printStackTrace();
+            System.exit(1);
+        }
+    }
+}
+
+// Helper class for wrapping camera panels
+class WrapLayout extends FlowLayout {
+
+    public WrapLayout(int align, int hgap, int vgap) {
+        super(align, hgap, vgap);
+    }
+
+    @Override
+    public Dimension preferredLayoutSize(Container target) {
+        synchronized (target.getTreeLock()) {
+            int targetWidth = target.getSize().width;
+            if (targetWidth == 0) {
+                targetWidth = Integer.MAX_VALUE;
+            }
+
+            int x = 0;
+            int y = 0;
+            int rowHeight = 0;
+
+            for (Component comp : target.getComponents()) {
+                if (comp.isVisible()) {
+                    Dimension pref = comp.getPreferredSize();
+                    if (x + pref.width > targetWidth) {
+                        y += rowHeight + getVgap();
+                        x = 0;
+                        rowHeight = 0;
+                    }
+                    x += pref.width + getHgap();
+                    rowHeight = Math.max(rowHeight, pref.height);
+                }
+            }
+            y += rowHeight;
+            return new Dimension(targetWidth, y);
+        }
+    }
+}

src/main/java/org/jdetect/ModelLoader.java

@@ -0,0 +1,77 @@
+package org.jdetect;
+
+import org.opencv.core.*;
+import org.opencv.dnn.Dnn;
+import org.opencv.dnn.Net;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.List;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+
+
+public class ModelLoader {
+    private static Net net;
+    private static List<String> classes;
+    private static List<String> outputLayers;
+
+    public static synchronized void loadModel() throws IOException {
+        if (net != null) return;
+
+        // Load network
+        InputStream weightsStream = ModelLoader.class.getResourceAsStream("/yolov4-tiny.weights");
+        InputStream configStream = ModelLoader.class.getResourceAsStream("/yolov4-tiny.cfg");
+
+        assert weightsStream != null;
+        byte[] weights = weightsStream.readAllBytes();
+        assert configStream != null;
+        byte[] config = configStream.readAllBytes();
+
+        // Create temp files
+        String weightsPath = "temp_weights.weights";
+        String configPath = "temp_config.cfg";
+
+        Files.write(Paths.get(weightsPath), weights);
+        Files.write(Paths.get(configPath), config);
+
+        net = Dnn.readNetFromDarknet(configPath, weightsPath);
+
+        // Load classes
+        classes = new ArrayList<>();
+        try (InputStream classesStream = ModelLoader.class.getResourceAsStream("/coco.names")) {
+            assert classesStream != null;
+            try (BufferedReader br = new BufferedReader(new InputStreamReader(classesStream))) {
+                String line;
+                while ((line = br.readLine()) != null) {
+                    classes.add(line.trim());
+                }
+            }
+        }
+
+        // Get output layers
+        List<String> layerNames = net.getLayerNames();
+        MatOfInt unconnectedOutLayers = net.getUnconnectedOutLayers();
+        int[] indices = unconnectedOutLayers.toArray();
+
+        outputLayers = new ArrayList<>();
+        for (int idx : indices) {
+            outputLayers.add(layerNames.get(idx - 1));
+        }
+    }
+
+    public static Net getNet() {
+        return net;
+    }
+
+    public static List<String> getClasses() {
+        return classes;
+    }
+
+    public static List<String> getOutputLayers() {
+        return outputLayers;
+    }
+}

src/main/resources/coco.names

@@ -0,0 +1,80 @@
+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush

src/main/resources/yolov4-tiny.cfg

@@ -0,0 +1,294 @@
+[net]
+# Testing
+#batch=1
+#subdivisions=1
+# Training
+batch=64
+subdivisions=1
+width=416
+height=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.00261
+burn_in=1000
+
+max_batches = 2000200
+policy=steps
+steps=1600000,1800000
+scales=.1,.1
+
+
+#weights_reject_freq=1001
+#ema_alpha=0.9998
+#equidistant_point=1000
+#num_sigmas_reject_badlabels=3
+#badlabels_rejection_percentage=0.2
+
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+##################################
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=255
+activation=linear
+
+
+
+[yolo]
+mask = 3,4,5
+anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
+classes=80
+num=6
+jitter=.3
+scale_x_y = 1.05
+cls_normalizer=1.0
+iou_normalizer=0.07
+iou_loss=ciou
+ignore_thresh = .7
+truth_thresh = 1
+random=0
+resize=1.5
+nms_kind=greedynms
+beta_nms=0.6
+#new_coords=1
+#scale_x_y = 2.0
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 23
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=255
+activation=linear
+
+[yolo]
+mask = 1,2,3
+anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
+classes=80
+num=6
+jitter=.3
+scale_x_y = 1.05
+cls_normalizer=1.0
+iou_normalizer=0.07
+iou_loss=ciou
+ignore_thresh = .7
+truth_thresh = 1
+random=0
+resize=1.5
+nms_kind=greedynms
+beta_nms=0.6
+#new_coords=1
+#scale_x_y = 2.0