This is adapted from: http://dinesh-malav.blogspot.com/2015/05/image-processing-using-opencv-on-hadoop.html
- Installed OpenCV with Java development support following instructions at: http://docs.opencv.org/doc/tutorials/introduction/desktop_java/java_dev_intro.html
- Created following 3 files.
- Compiled the files with command: ant -DocvJarDir=/home/ninad/opencv/bin -DocvLibDir=/home/ninad/opencv/lib jar
build.xml
<project name="Main" basedir="." default="rebuild-run">
<property name="src.dir" value="src"/>
<property name="lib.dir" value="${ocvJarDir}"/>
<path id="classpath">
<fileset dir="${lib.dir}" includes="**/*.jar"/>
</path>
<property name="build.dir" value="build"/>
<property name="classes.dir" value="${build.dir}/classes"/>
<property name="jar.dir" value="${build.dir}/jar"/>
<property name="main-class" value="${ant.project.name}"/>
<target name="clean">
<delete dir="${build.dir}"/>
</target>
<target name="compile">
<mkdir dir="${classes.dir}"/>
<javac includeantruntime="false" srcdir="${src.dir}" destdir="${classes.dir}" classpathref="classpath"/>
</target>
<target name="jar" depends="compile">
<mkdir dir="${jar.dir}"/>
<jar destfile="${jar.dir}/${ant.project.name}.jar" basedir="${classes.dir}">
<manifest>
<attribute name="Main-Class" value="${main-class}"/>
</manifest>
</jar>
</target>
<target name="run" depends="jar">
<java fork="true" classname="${main-class}">
<sysproperty key="java.library.path" path="${ocvLibDir}"/>
<classpath>
<path refid="classpath"/>
<path location="${jar.dir}/${ant.project.name}.jar"/>
</classpath>
</java>
</target>
<target name="rebuild" depends="clean,jar"/>
<target name="rebuild-run" depends="clean,run"/>
</project>
DetectFaces.java
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.Scalar;
import org.opencv.highgui.*;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.objdetect.CascadeClassifier;
import java.io.File;
/**
* Created by dmalav on 4/30/15.
*/
public class DetectFaces {
public void run(String imageFile) {
System.out.println("\nRunning DetectFaceDemo");
// Create a face detector from the cascade file in the resources
// directory.
String xmlPath = "/home/cloudera/project/opencv-examples/lbpcascade_frontalface.xml";
System.out.println(xmlPath);
CascadeClassifier faceDetector = new CascadeClassifier(xmlPath);
Mat image = Highgui.imread(imageFile);
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}
File f = new File(imageFile);
System.out.println(f.getName());
// Save the visualized detection.
String filename = f.getName();
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}
Main.java
import org.opencv.core.Core;
import java.io.File;
public class Main {
public static void main(String... args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
if (args.length == 0) {
System.err.println("Usage Main /path/to/images");
System.exit(1);
}
File[] files = new File(args[0]).listFiles();
showFiles(files);
}
public static void showFiles(File[] files) {
DetectFaces faces = new DetectFaces();
for (File file : files) {
if (file.isDirectory()) {
System.out.println("Directory: " + file.getName());
showFiles(file.listFiles()); // Calls same method again.
} else {
System.out.println("File: " + file.getAbsolutePath());
faces.run(file.getAbsolutePath());
}
}
}
}