BAEL-7810: Change lena image with a free portrait from unsplash (#17471)

Author: harry9656

image-processing/pom.xml

@@ -111,7 +111,7 @@
         <imageio.version>3.3.2</imageio.version>
         <tess4j.version>4.5.1</tess4j.version>
         <tesseract-platform.version>4.1.0-1.5.2</tesseract-platform.version>
-        <opencv.version>3.4.2-0</opencv.version>
+        <opencv.version>4.9.0-0</opencv.version>
         <javacv-platform.version>1.5.5</javacv-platform.version>
         <webcam-capture.version>0.3.12</webcam-capture.version>
         <imgscalr-version>4.2</imgscalr-version>

image-processing/src/main/java/com/baeldung/imageprocessing/opencv/CameraStream.java

@@ -1,13 +1,7 @@
 package com.baeldung.imageprocessing.opencv;
 
-import javafx.animation.AnimationTimer;
-import javafx.application.Application;
-import javafx.scene.Scene;
-import javafx.scene.image.Image;
-import javafx.scene.image.ImageView;
-import javafx.scene.layout.HBox;
-import javafx.stage.Stage;
-import nu.pattern.OpenCV;
+import java.io.ByteArrayInputStream;
+
 import org.opencv.core.Mat;
 import org.opencv.core.MatOfByte;
 import org.opencv.core.MatOfRect;
@@ -20,20 +14,28 @@
 import org.opencv.objdetect.Objdetect;
 import org.opencv.videoio.VideoCapture;
 
-import java.io.ByteArrayInputStream;
+import javafx.animation.AnimationTimer;
+import javafx.application.Application;
+import javafx.scene.Scene;
+import javafx.scene.image.Image;
+import javafx.scene.image.ImageView;
+import javafx.scene.layout.HBox;
+import javafx.stage.Stage;
+import nu.pattern.OpenCV;
 
 public class CameraStream extends Application {
+
     private VideoCapture capture;
 
     public void start(Stage stage) throws Exception {
         OpenCV.loadShared();
-        capture=  new VideoCapture(0); // The number is the ID of the camera
+        capture = new VideoCapture(0); // The number is the ID of the camera
         ImageView imageView = new ImageView();
         HBox hbox = new HBox(imageView);
         Scene scene = new Scene(hbox);
         stage.setScene(scene);
         stage.show();
-        new AnimationTimer(){
+        new AnimationTimer() {
             @Override
             public void handle(long l) {
                 imageView.setImage(getCapture());
@@ -58,7 +60,8 @@ public Image mat2Img(Mat mat) {
         MatOfByte bytes = new MatOfByte();
         Imgcodecs.imencode("img", mat, bytes);
         ByteArrayInputStream inputStream = new ByteArrayInputStream(bytes.toArray());
-        Image img = new Image(inputStream); return img;
+        Image img = new Image(inputStream);
+        return img;
     }
 
     public static void main(String[] args) {
@@ -70,17 +73,10 @@ public static Mat detectFace(Mat inputImage) {
         CascadeClassifier cascadeClassifier = new CascadeClassifier();
         int minFaceSize = Math.round(inputImage.rows() * 0.1f);
         cascadeClassifier.load("./src/main/resources/haarcascades/haarcascade_frontalface_alt.xml");
-        cascadeClassifier.detectMultiScale(inputImage,
-                facesDetected,
-                1.1,
-                3,
-                Objdetect.CASCADE_SCALE_IMAGE,
-                new Size(minFaceSize, minFaceSize),
-                new Size()
-        );
-        Rect[] facesArray =  facesDetected.toArray();
-        for(Rect face : facesArray) {
-            Imgproc.rectangle(inputImage, face.tl(), face.br(), new Scalar(0, 0, 255), 3 );
+        cascadeClassifier.detectMultiScale(inputImage, facesDetected, 1.1, 3, Objdetect.CASCADE_SCALE_IMAGE, new Size(minFaceSize, minFaceSize), new Size());
+        Rect[] facesArray = facesDetected.toArray();
+        for (Rect face : facesArray) {
+            Imgproc.rectangle(inputImage, face.tl(), face.br(), new Scalar(0, 0, 255), 3);
         }
         return inputImage;
     }

image-processing/src/main/java/com/baeldung/imageprocessing/opencv/FaceDetection.java

@@ -1,5 +1,7 @@
 package com.baeldung.imageprocessing.opencv;
 
+import java.io.ByteArrayInputStream;
+
 import org.opencv.core.Mat;
 import org.opencv.core.MatOfByte;
 import org.opencv.core.MatOfRect;
@@ -10,38 +12,43 @@
 import org.opencv.imgproc.Imgproc;
 import org.opencv.objdetect.CascadeClassifier;
 import org.opencv.objdetect.Objdetect;
+
 import javafx.scene.image.Image;
-import java.io.ByteArrayInputStream;
 
 public class FaceDetection {
 
+public static void main(String[] args) {
+    // Load the native library.
+    System.load("/opencv/build/lib/libopencv_java4100.dylib");
+    detectFace(FaceDetection.class.getClassLoader().getResource("portrait.jpg").getPath(),
+        "./processed.jpg");
+}
+
     public static Mat loadImage(String imagePath) {
-        Imgcodecs imageCodecs = new Imgcodecs();
-        return imageCodecs.imread(imagePath);
+        return Imgcodecs.imread(imagePath);
     }
 
     public static void saveImage(Mat imageMatrix, String targetPath) {
-        Imgcodecs imgcodecs = new Imgcodecs();
-        imgcodecs.imwrite(targetPath, imageMatrix);
+        Imgcodecs.imwrite(targetPath, imageMatrix);
     }
 
     public static void detectFace(String sourceImagePath, String targetImagePath) {
         Mat loadedImage = loadImage(sourceImagePath);
         MatOfRect facesDetected = new MatOfRect();
         CascadeClassifier cascadeClassifier = new CascadeClassifier();
         int minFaceSize = Math.round(loadedImage.rows() * 0.1f);
-        cascadeClassifier.load("./src/main/resources/haarcascades/haarcascade_frontalface_alt.xml");
+        String filename = FaceDetection.class.getClassLoader().getResource("haarcascades/haarcascade_frontalface_alt.xml").getFile();
+        cascadeClassifier.load(filename);
         cascadeClassifier.detectMultiScale(loadedImage,
                 facesDetected,
                 1.1,
                 3,
                 Objdetect.CASCADE_SCALE_IMAGE,
                 new Size(minFaceSize, minFaceSize),
-                new Size()
-        );
+                new Size());
         Rect[] facesArray =  facesDetected.toArray();
         for(Rect face : facesArray) {
-            Imgproc.rectangle(loadedImage, face.tl(), face.br(), new Scalar(0, 0, 255), 3 );
+            Imgproc.rectangle(loadedImage, face.tl(), face.br(), new Scalar(0, 0, 255), 10);
         }
         saveImage(loadedImage, targetImagePath);
     }