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package anlavn.opencv;
// Make By Bình An || AnLaVN || KatoVN
import anlavn.file.Log;
import anlavn.file.NativeLibrary;
import anlavn.file.Zip;
import anlavn.net.DocNet;
import anlavn.net.License;
import java.awt.Color;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.Image;
import java.awt.geom.RoundRectangle2D;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import javax.imageio.ImageIO;
import javax.swing.JPanel;
import static org.opencv.imgproc.Imgproc.rectangle;
import static org.opencv.imgcodecs.Imgcodecs.imencode;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.videoio.VideoCapture;
/**The FaceDetection class supports to face detection using the world’s largest computer vision library - OpenCV.
* This class provides methods to load required libraries, configure settings, start/end face detection, and display on JPanel.
* @author AnLaVN - https://github.com/AnLaVN
*/
public final class FaceDetection {
public static String API_KEY = "alk~XXX...XXX";
private static boolean DetectFace = false;
private static JPanel panCam = null;
private static int BorderRadius = 0, Thickness = 2, width = 0, height = 0;
private static final String ZIP_FILE = "FaceDetection.zip",
XML_PATH = "FaceDetection/haarcascade_frontalface_default.xml",
DLL32_PATH = "FaceDetection/opencv_java4100_x86.dll",
DLL64_PATH = "FaceDetection/opencv_java4100_x64.dll";
private static File xmlFaceDetection = null;
private static DaemonThread myThread = null;
private static VideoCapture webSource = null;
private static Mat frame = null;
private static MatOfByte mem = null;
private static CascadeClassifier faceDetector = null;
private static MatOfRect faceDetections = null;
private static BufferedImage buff;
private static Scalar scalar = new Scalar(0, 255,0);
private static class DaemonThread implements Runnable {
protected volatile boolean runnable = false;
@Override public void run() { synchronized (this) {
RoundRectangle2D.Double panBoder = new RoundRectangle2D.Double(0, 0, width, height, BorderRadius, BorderRadius);
while (runnable) { if (webSource.grab()) {
try {
webSource.retrieve(frame);
Graphics g = panCam.getGraphics();
if(DetectFace){
faceDetector.detectMultiScale(frame, faceDetections);
for (Rect rect : faceDetections.toArray()) {
rectangle(frame,
new Point(rect.x, rect.y),
new Point(rect.x + rect.width, rect.y + rect.height),
scalar, Thickness);}}
imencode(".bmp", frame, mem);
Image im = ImageIO.read(new ByteArrayInputStream(mem.toArray()));
buff = (BufferedImage) im;
Graphics2D g2 = (Graphics2D) g;
g2.setClip(panBoder);
g.drawImage(buff, 0, 0, width, height, 0, 0, buff.getWidth(), buff.getHeight(), null);
if (runnable == false) { this.wait(); }}
catch (IOException | InterruptedException ex) {
Log.add("!!! Error trying to Face Detection. !!!\n" + ex.toString());
}
}}}}}
private static void loadXMLFile() throws FileNotFoundException{
xmlFaceDetection = new File(XML_PATH);
if(!xmlFaceDetection.exists()) throw new FileNotFoundException("File not found \"" + XML_PATH + "\".");
}
private static void loadDLLFile() throws FileNotFoundException{
String bitLib = System.getProperty("sun.arch.data.model");
Log.add("Face Detection Module - Load Computer architecture: " + bitLib + "-bit computing.");
bitLib = bitLib.equals("64") ? DLL64_PATH : DLL32_PATH;
if(!new File(bitLib).exists()) throw new FileNotFoundException("File not found \"" + bitLib + "\".");
NativeLibrary.load(bitLib);
Log.add("Face Detection Module - Load Native Library \"" + bitLib + "\" successfully.");
}
private static boolean isLoad(){
return frame!=null && mem!=null && faceDetector!=null && faceDetections!=null && panCam!=null;
}
/**Use this method to load Module support for face detection.
* @see FaceDetection#setDisplayPanel(javax.swing.JPanel)
* @see FaceDetection#setDetector(boolean)
*/
public static final void loadModule(){
License.check(API_KEY, "AnLaVN03");
try{
loadXMLFile();
loadDLLFile();
}catch(FileNotFoundException e){
Log.add("!!! Error try to Face Detection: No module FaceDetection, trying to download it. !!!");
try {
if(!new File(ZIP_FILE).exists()) new DocNet("https://anlavn-api.vercel.app/api/face_detection").saveAs(ZIP_FILE);
Zip.extract(ZIP_FILE, "");
loadXMLFile();
loadDLLFile();
} catch (IOException ex) {
Log.add("!!! Error try to Face Detection: Can not download module FaceDetection. Please check your connecttion. !!!\n\t\tError code: " + e.toString());
System.exit(1);
}
}
frame = new Mat();
mem = new MatOfByte();
faceDetector = new CascadeClassifier(xmlFaceDetection.getAbsolutePath());
faceDetections = new MatOfRect();
Log.add("Face Detection Module - Load Classifiers \"" + XML_PATH + "\" successfully.");
}
/**Use this method to set the panel where will display the camera capture.
* @param pan is JPanel you want to display the camera capture.
* @see FaceDetection#setDisplayPanel(javax.swing.JPanel, int)
*/
public static final void setDisplayPanel(JPanel pan){
setDisplayPanel(pan, 0);
}
/**Use this method to set the panel with corner where will display the camera capture.
* @param pan is JPanel you want to display the camera capture.
* @param borderRadius is corner border radius of JPanel.
* @see FaceDetection#setDisplayPanel(javax.swing.JPanel)
*/
public static final void setDisplayPanel(JPanel pan, int borderRadius){
panCam = pan;
width = panCam.getWidth();
height = panCam.getHeight();
BorderRadius = borderRadius;
}
/**Use this method to set the face detection frame.
* @param detectFace true a rectangle will display when we detect a face.false the rectangle will not display even we detect a face.
* @see FaceDetection#setDetector(boolean, java.awt.Color, int)
* @see FaceDetection#isDetector()
*/
public static final void setDetector(boolean detectFace){
setDetector(detectFace, Color.GREEN, 2);
}
/**Use this method to set the face detection frame.
* @param detectFace true a rectangle will display when we detect a face.false the rectangle will not display even we detect a face.
* @param color is the color of rectangle when it display.
* @param thickness is the thickness of rectangle when it display.
* @see FaceDetection#setDetector(boolean)
* @see FaceDetection#isDetector()
*/
public static final void setDetector(boolean detectFace, Color color, int thickness){
DetectFace = detectFace;
scalar = new Scalar(color.getBlue(), color.getGreen(), color.getRed());
Thickness = thickness;
}
/**Use this method to start face detection using ID camera.
* @param index ID of the video capturing device to open. To open default camera using 0 value.
* @see FaceDetection#loadModule()
* @see FaceDetection#setDisplayPanel(javax.swing.JPanel)
* @see FaceDetection#setDisplayPanel(javax.swing.JPanel, int)
* @see FaceDetection#setDetector(boolean)
* @see FaceDetection#setDetector(boolean, java.awt.Color, int)
*/
public static final void start(int index){
License.check(API_KEY, "AnLaVN03");
if(!isLoad()){
Log.add("!!! Error try to Face Detection: Module has not been loaded. !!!\n\t\tUse loadModule() and setDetectPanel() method before run this method.");
System.exit(1); }
webSource = new VideoCapture(index);
myThread = new DaemonThread();
Thread t = new Thread(myThread);
t.setDaemon(true);
myThread.runnable = true;
t.start();
}
/**Use this method to end face detection.
* @see FaceDetection#start(int)
*/
public static final void end(){
myThread.runnable = false;
webSource.release();
panCam.getGraphics().clearRect(0, 0, width, height);
}
/**Use this method to get the value of whether or not a face is being detected.
* @return true if you was set to detect a face, false if you wasn't set value or set to not detect a face.
* @see FaceDetection#setDetector(boolean)
* @see FaceDetection#setDetector(boolean, java.awt.Color, int)
*/
public static final boolean isDetector(){
return DetectFace;
}
/**Use this method to get value of face detection is running or not.
* @return true if startDetection() method is running, false if not.
* @see FaceDetection#start(int)
* @see FaceDetection#end()
*/
public static final boolean isDetection(){
return myThread == null ? false : myThread.runnable;
}
/**Use this method to get the BufferedImage of the entire frame being displayed on the JPanel.
* @return a BufferedImage of entire frame in JPanel.
*/
public static final BufferedImage getBufferedImage(){
return buff;
}
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