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rdkartono
2025-02-05 15:20:21 +07:00
parent 29884c03ed
commit 30ef123832
11 changed files with 21247 additions and 299 deletions
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3527
haarcascades/fist.xml Normal file
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haarcascades/haarcascade_eye.xml Normal file
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haarcascades/rpalm.xml Normal file
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out/artifacts/ErhaCam_jar/ErhaCam.jar
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8
src/main/java/Config/ConfigFile.java
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@@ -597,8 +597,8 @@ public class ConfigFile {
cascadeMinSize = toInt(prop.getProperty("cascadeMinSize"));
cascadeMaxSize = toInt(prop.getProperty("cascadeMaxSize"));
Detectors.setMaxSize(cascadeMaxSize);
Detectors.setMinSize(cascadeMinSize);
Detectors.setFaceMaxSize(cascadeMaxSize);
Detectors.setFaceMinSize(cascadeMinSize);
Detectors.setScaleFactor(cascadeScaleFactor);
Logger.info("Config Loaded");
@@ -649,8 +649,8 @@ public class ConfigFile {
cascadeMinNeighbors = 3;
cascadeMinSize = 200;
cascadeMaxSize = 400;
Detectors.setMaxSize(cascadeMaxSize);
Detectors.setMinSize(cascadeMinSize);
Detectors.setFaceMaxSize(cascadeMaxSize);
Detectors.setFaceMinSize(cascadeMinSize);
Detectors.setScaleFactor(cascadeScaleFactor);
Logger.info("Default Config Created");
needsave = true;

200
src/main/java/id/co/gtc/erhacam/Cameradetail.java
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@@ -45,6 +45,7 @@ import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import static Config.SomeCodes.*;
import static id.co.gtc.erhacam.Detectors.*;
import static org.bytedeco.opencv.global.opencv_core.CV_8UC3;
import static org.bytedeco.opencv.global.opencv_core.mean;
import static org.bytedeco.opencv.global.opencv_imgcodecs.imwrite;
@@ -641,17 +642,32 @@ public class Cameradetail {
protected Image call() {
// repeat until capturing is false
AtomicInteger fps = new AtomicInteger(0);
AtomicBoolean eye_was_closed = new AtomicBoolean(false);
AtomicInteger blink_counter = new AtomicInteger(0);
boolean eye_was_closed = false;
boolean waiting_for_second_blink = false;
long last_blink = 0;
TimerTask timerTask = new TimerTask() {
TimerTask fpsTask = new TimerTask() {
@Override
public void run() {
LiveFPS = fps.getAndSet(0);
}
};
Timer timer = new java.util.Timer();
timer.scheduleAtFixedRate(timerTask, 1000, 1000);
timer.scheduleAtFixedRate(fpsTask, 1000, 1000);
boolean have_frontal_face;
boolean have_left_45_face;
int _face_width;
int _face_height;
boolean have_palm = false;
boolean have_fist = false;
while (Capturing.get()) {
try {
// selama proses pengambilan foto, jangan ambil frame
@@ -663,9 +679,7 @@ public class Cameradetail {
IsGrabbingLiveView.set(true);
Frame frame = mGrabber.grab(); // grab frame
Mat mat = matconverter.convert(frame); // convert to Mat
int counter = fps.incrementAndGet();
if (mat.empty()) continue; // kalau gak ada data, continue
if (counter % 5 != 0) continue; // frame skip to 6 fps
fps.incrementAndGet();
mat.copyTo(BestMat); // copy to BestMat for using OpenCL
IsGrabbingLiveView.set(false);
@@ -685,119 +699,99 @@ public class Cameradetail {
}
}
if (use_face){
DetectorResult theface = null;
have_frontal_face = false;
have_left_45_face = false;
_face_width = 0;
_face_height = 0;
List<Rect> frontalfaces = Detectors.HaveFrontalFace(graymat);
List<DetectorResult> frontalfaces = HaveFrontalFace(graymat);
if (!frontalfaces.isEmpty()){
if (event!=null) event.onFrontalFaceDetector(true, BestSize.width(), BestSize.height());
for(Rect rect : frontalfaces){
rectangle(LiveMat, rect, Scalar.GREEN);
for(DetectorResult rect : frontalfaces){
if (rect.haveFace()){
rect.FaceRectangle(LiveMat);
rect.EyesRectangle(LiveMat);
if (rect.getFaceWidth()>_face_width) _face_width = rect.getFaceWidth();
if (rect.getFaceHeight()>_face_height) _face_height = rect.getFaceHeight();
theface = rect;
have_frontal_face = true;
}
}
} else {
if (event!=null) event.onFrontalFaceDetector(false, BestSize.width(), BestSize.height());
}
List<Rect> Left45Faces = Detectors.HaveLeft45Face(graymat);
// gak punya frontal face
// coba cek punya profile left face 45 gak
List<DetectorResult> Left45Faces = HaveLeft45Face(graymat);
if (!Left45Faces.isEmpty()){
if (event!=null){
event.onLeftEyeDetector(true, BestSize.width(), BestSize.height());
event.onProfileFaceDetector(true, BestSize.width(), BestSize.height());
for(DetectorResult rect : Left45Faces){
if (rect.haveFace()){
rect.FaceRectangle(LiveMat);
rect.EyesRectangle(LiveMat);
if (rect.getFaceWidth()>_face_width) _face_width = rect.getFaceWidth();
if (rect.getFaceHeight()>_face_height) _face_height = rect.getFaceHeight();
have_left_45_face = true;
}
for(Rect rect : Left45Faces){
rectangle(LiveMat, rect, Scalar.BLUE);
}
}
}
if (have_frontal_face){
if (event!=null) event.onFrontalFaceDetector(true, _face_width, _face_height);
if (theface.haveEyes()){
// ada mata (buka mata)
if (eye_was_closed){
eye_was_closed = false;
long now = System.currentTimeMillis();
if (waiting_for_second_blink){
long diff = now - last_blink;
// kalau beda waktu antara blink 1 dan blink 2 kurang dari 2 detik
if (diff<=2000){
waiting_for_second_blink = false;
System.out.println("Blink Detected from camera "+cameratitle);
if (event!=null) event.onBlink(2);
}
} else {
if (event!=null) {
event.onLeftEyeDetector(false, BestSize.width(), BestSize.height());
event.onProfileFaceDetector(false, BestSize.width(), BestSize.height());
last_blink = now;
waiting_for_second_blink = true;
}
}
List<Rect> Right45Faces = Detectors.HaveRight45Face(graymat);
if (!Right45Faces.isEmpty()){
if (event!=null){
event.onRightEyeDetector(true, BestSize.width(), BestSize.height());
event.onProfileFaceDetector(true, BestSize.width(), BestSize.height());
}
for(Rect rect : Right45Faces){
rectangle(LiveMat, rect, Scalar.BLUE);
}
} else {
// tidak ada mata
// transisi dari buka mata ke tutup mata
if (!eye_was_closed){
eye_was_closed = true;
}
}
} else if (have_left_45_face ){
if (event!=null) event.onProfileFaceDetector(true, _face_width, _face_height);
} else {
// no face at all
if (event!=null) {
event.onRightEyeDetector(false, BestSize.width(), BestSize.height());
event.onProfileFaceDetector(false, BestSize.width(), BestSize.height());
event.onFrontalFaceDetector(false, _face_width, _face_height);
event.onProfileFaceDetector(false, _face_width, _face_height);
}
}
// List<Rect> Left90Faces = Detectors.HaveLeft90Face(graymat);
// if (!Left90Faces.isEmpty()){
// if (event!=null){
// event.onLeftEyeDetector(true, BestSize.width(), BestSize.height());
// event.onLeftEarDetector(true, BestSize.width(), BestSize.height());
// }
// for(Rect rect : Left90Faces){
// rectangle(LiveMat, rect, Scalar.YELLOW);
// }
// } else {
// if (event!=null) {
// event.onLeftEyeDetector(false, BestSize.width(), BestSize.height());
// event.onLeftEarDetector(false, BestSize.width(), BestSize.height());
// }
// }
//
// List<Rect> Right90Faces = Detectors.HaveRight90Face(graymat);
// if (!Right90Faces.isEmpty()){
// if (event!=null){
// event.onRightEyeDetector(true, BestSize.width(), BestSize.height());
// event.onRightEarDetector(true, BestSize.width(), BestSize.height());
// }
// for(Rect rect : Right90Faces){
// rectangle(LiveMat, rect, Scalar.YELLOW);
// }
// } else {
// if (event!=null) {
// event.onRightEyeDetector(false, BestSize.width(), BestSize.height());
// event.onRightEarDetector(false, BestSize.width(), BestSize.height());
// }
// }
// if (have_face){
// // kalau detect muka, baru coba detect mata
// RectVector eye = DetectEye(graymat);
// if (eye!=null && eye.size()>=2){
// // ada mata
// if (eye_was_closed.get()){
// eye_was_closed.set(false);
// if (blink_counter.get()>=2){
// blink_counter.set(0);
// if (event!=null) event.onBlink(blink_counter.get());
// }
// }
//
// if (event!=null) event.onEyeDetector(true, BestSize.width(), BestSize.height());
// for(int i=0; i<eye.size(); i++){
// Rect rect = eye.get(i);
// rectangle(LiveMat, rect, Scalar.RED);
// }
// } else {
// // mata tidak ada
// if (!eye_was_closed.get()){
// eye_was_closed.set(true);
// blink_counter.incrementAndGet();
// }
// if (event!=null) event.onEyeDetector(false, BestSize.width(), BestSize.height());
// }
//
// } else {
// eye_was_closed.set(false);
// blink_counter.set(0);
// // tidak ada muka, tidak ada mata
//
// }
}
if (HavePalm(graymat)) {
if (!have_palm){
have_fist = false;
have_palm = true;
System.out.println("Palm Detected from camera " + cameratitle);
}
}
if (HaveFist(graymat)) {
if (!have_fist) {
have_palm = false;
have_fist = true;
System.out.println("Fist Detected from camera "+cameratitle);
}
}
UMat rgbmat = new UMat(LiveMat.size(), CV_8UC3);
cvtColor(LiveMat, rgbmat, COLOR_BGR2RGB);

26
src/main/java/id/co/gtc/erhacam/CaptureView.java
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@@ -243,11 +243,14 @@ public class CaptureView {
} else throw new Exception("FTP Host not reachable");
} catch (Exception e){
Logger.error("Error UploadToFTP: "+e.getMessage());
Platform.runLater(()->{
Alert alert = new Alert(AlertType.ERROR);
alert.setTitle("Error");
alert.setHeaderText("Upload to FTP Failed");
alert.setContentText("Error: "+e.getMessage());
alert.showAndWait();
});
}
}).start();
} else {
@@ -615,11 +618,24 @@ public class CaptureView {
@Override
public void onBlink(int counter) {
String prefix = prefixfile.getText();
if (!prefix.isEmpty()){
if (isTakingPhoto.get()) return; // other camera already detect blinking
btnTakePhoto.fire();
}
// System.out.println("Blink detected at camera "+title+" counter: "+counter);
// Platform.runLater(()->{
// Alert Alert = new Alert(AlertType.INFORMATION);
// Alert.setTitle("Blink Detected");
// Alert.setHeaderText("Blink Detected");
// Alert.setContentText("Blink Detected at Camera "+title+" counter: "+counter);
// Alert.show();
//
// String prefix = prefixfile.getText();
// //TODO Pastikan Nomor Pelanggan 8 digit
// if (prefix.length()>=8){
// if (isTakingPhoto.get()) return; // other camera already detect blinking
// btnTakePhoto.fire();
// }
// });
}
private void update_status(Cameradetail image){

54
src/main/java/id/co/gtc/erhacam/DetectorResult.java Normal file
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@@ -0,0 +1,54 @@
package id.co.gtc.erhacam;
import lombok.Getter;
import lombok.Setter;
import org.bytedeco.opencv.opencv_core.Rect;
import org.bytedeco.opencv.opencv_core.Scalar;
import org.bytedeco.opencv.opencv_core.UMat;
import java.util.List;
import static org.bytedeco.opencv.global.opencv_imgproc.rectangle;
@Getter
public class DetectorResult {
private @Setter Rect Face;
private List<Rect> Eyes;
public void AddEye(Rect eye){
if (Eyes == null) Eyes = new java.util.ArrayList<>();
Eyes.add(eye);
}
public void FaceRectangle(UMat mat){
if (haveFace()){
rectangle(mat, Face, Scalar.GREEN);
}
}
public void EyesRectangle(UMat mat){
if (haveEyes()){
for(Rect eye : Eyes){
rectangle(mat, eye, Scalar.BLUE);
}
}
}
public boolean haveFace(){
return Face != null && Face.width() > 0 && Face.height() > 0;
}
public int getFaceWidth(){
if (!haveFace()) return 0;
return Face.width();
}
public int getFaceHeight(){
if (!haveFace()) return 0;
return Face.height();
}
public boolean haveEyes(){
return Eyes != null && !Eyes.isEmpty();
}
}

279
src/main/java/id/co/gtc/erhacam/Detectors.java
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@@ -14,21 +14,55 @@ import java.util.List;
public class Detectors {
public static CascadeClassifier frontalfaceDetector;
public static CascadeClassifier eyeDetector;
public static CascadeClassifier leftEyeDetector;
public static CascadeClassifier rightEyeDetector;
public static CascadeClassifier leftEarDetector;
public static CascadeClassifier rightEarDetector;
public static CascadeClassifier profilefaceDetector;
private static CascadeClassifier eyeDetector;
private static CascadeClassifier profilefaceDetector;
private static CascadeClassifier palmDetector;
private static CascadeClassifier fistDetector;
public static void LoadAllDetectors(){
LoadFrontalFaceDetector();
LoadProfileFaceDetector();
LoadEyeDetector();
LoadLeftEarDetector();
LoadRightEarDetector();
LoadLeftEyeDetector();
LoadRightEyeDetector();
LoadProfileFaceDetector();
LoadFistDetector();
LoadRightPalmDetector();
}
private static void LoadFistDetector(){
String filename = SomeCodes.ExtractResource("/fist.xml");
if (filename!=null) {
System.out.println("Fist Detector file : " + filename);
if (fistDetector ==null) {
try{
fistDetector = new CascadeClassifier(filename);
Logger.info("FistDetector loaded");
} catch (Exception e){
Logger.error("Exception on loading FistDetector : " + e.getMessage());
}
} else Logger.info("FistDetector already loaded");
} else Logger.error("Unable to extract fist detector file");
}
private static void LoadRightPalmDetector(){
String filename = SomeCodes.ExtractResource("/rpalm.xml");
if (filename!=null) {
System.out.println("Right Palm Detector file : " + filename);
if (palmDetector ==null) {
try{
palmDetector = new CascadeClassifier(filename);
Logger.info("RightPalmDetector loaded");
} catch (Exception e){
Logger.error("Exception on loading RightPalmDetector : " + e.getMessage());
}
} else Logger.info("RightPalmDetector already loaded");
} else Logger.error("Unable to extract right palm detector file");
}
private static void LoadFrontalFaceDetector(){
@@ -64,7 +98,7 @@ public class Detectors {
}
private static void LoadEyeDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_eye_tree_eyeglasses.xml");
String filename = SomeCodes.ExtractResource("/haarcascade_eye.xml");
if (filename!=null) {
System.out.println("Eye Detector file : " + filename);
if (eyeDetector==null) {
@@ -80,179 +114,106 @@ public class Detectors {
} else Logger.error("Unable to extract eye detector file");
}
private static void LoadLeftEyeDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_lefteye_2splits.xml");
if (filename!=null) {
System.out.println("Left Eye Detector file : " + filename);
if (leftEyeDetector==null) {
try{
leftEyeDetector = new CascadeClassifier(filename);
Logger.info("LeftEyeDetector loaded");
} catch (Exception e){
Logger.error("Exception on loading LeftEyeDetector : " + e.getMessage());
public static boolean HavePalm(UMat graymat){
RectVector palms = Detect(graymat, palmDetector);
return palms!=null && palms.size()>0;
}
} else Logger.info("LeftEyeDetector already loaded");
} else Logger.error("Unable to extract left eye detector file");
public static boolean HaveFist(UMat graymat){
RectVector fists = Detect(graymat, fistDetector);
return fists!=null && fists.size()>0;
}
private static void LoadRightEyeDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_righteye_2splits.xml");
if (filename!=null) {
System.out.println("Right Eye Detector file : " + filename);
if (rightEyeDetector==null) {
try{
rightEyeDetector = new CascadeClassifier(filename);
Logger.info("RightEyeDetector loaded");
} catch (Exception e){
Logger.error("Exception on loading RightEyeDetector : " + e.getMessage());
}
} else Logger.info("RightEyeDetector already loaded");
} else Logger.error("Unable to extract right eye detector file");
}
private static void LoadLeftEarDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_mcs_leftear.xml");
if (filename!=null) {
System.out.println("Left Ear Detector file : " + filename);
if (leftEarDetector==null) {
try{
leftEarDetector = new CascadeClassifier(filename);
Logger.info("LeftEarDetector loaded");
} catch (Exception e){
Logger.error("Exception on loading LeftEarDetector : " + e.getMessage());
}
} else Logger.info("LeftEarDetector already loaded");
} else Logger.error("Unable to extract left ear detector file");
}
private static void LoadRightEarDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_mcs_rightear.xml");
if (filename!=null) {
System.out.println("Right Ear Detector file : " + filename);
if (rightEarDetector==null) {
try{
rightEarDetector = new CascadeClassifier(filename);
Logger.info("RightEarDetector loaded");
} catch (Exception e){
Logger.error("Exception on loading RightEarDetector : " + e.getMessage());
}
} else Logger.info("RightEarDetector already loaded");
} else Logger.error("Unable to extract right ear detector file");
}
//TODO buat kalkulasi range minSize dan maxSize kalau pakai BestMat (3840x2160) dan LiveMat (1280x720)
/**
* Detect if there is a frontal face, containing 2 eyes
* @param graymat Mat in Gray Scale
* @return List of Rect if face detected, otherwise empty list
*/
public static @NonNull List<Rect> HaveFrontalFace(UMat graymat){
List<Rect> result = new ArrayList<>();
public static @NonNull List<DetectorResult> HaveFrontalFace(UMat graymat){
List<DetectorResult> result = new ArrayList<>();
RectVector faces = DetectFrontalFace(graymat);
if (faces!=null && faces.size()>0){
for(Rect face : faces.get()){
UMat faceMat = new UMat(graymat, face);
RectVector eyes = DetectEye(faceMat);
RectVector eyes = DetectEye(graymat);
DetectorResult dr = new DetectorResult();
dr.setFace(face);
if (eyes!=null && eyes.size()>=2){
result.add(face);
for(Rect eye : eyes.get()){
if (eye.x() < face.x() || eye.y() < face.y() || eye.x() + eye.width() > face.x() + face.width() || eye.y() + eye.height() > face.y() + face.height()){
continue;
}
dr.AddEye(eye);
}
}
result.add(dr);
}
}
return result;
}
public static @NonNull List<Rect> HaveLeft45Face(UMat graymat){
List<Rect> result = new ArrayList<>();
public static @NonNull List<DetectorResult> HaveLeft45Face(UMat graymat){
List<DetectorResult> result = new ArrayList<>();
RectVector faces = DetectProfileFace(graymat);
if (faces!=null && faces.size()>0){
for(Rect face : faces.get()){
UMat faceMat = new UMat(graymat, face);
RectVector eyes = DetectLeftEye(faceMat);
RectVector eyes = DetectEye(graymat);
DetectorResult dr = new DetectorResult();
dr.setFace(face);
if (eyes!=null && eyes.size()>0){
result.add(face);
for(Rect eye : eyes.get()){
if (eye.x() < face.x() || eye.y() < face.y() || eye.x() + eye.width() > face.x() + face.width() || eye.y() + eye.height() > face.y() + face.height()){
continue;
}
dr.AddEye(eye);
}
}
}
return result;
}
public static @NonNull List<Rect> HaveRight45Face(UMat graymat){
List<Rect> result = new ArrayList<>();
RectVector faces = DetectProfileFace(graymat);
if (faces!=null && faces.size()>0){
for(Rect face : faces.get()){
UMat faceMat = new UMat(graymat, face);
RectVector eyes = DetectRightEye(faceMat);
if (eyes!=null && eyes.size()>0){
result.add(face);
}
}
}
return result;
}
public static @NonNull List<Rect> HaveLeft90Face(UMat graymat){
List<Rect> result = new ArrayList<>();
RectVector leftears = DetectLeftEar(graymat);
RectVector lefteyes = DetectLeftEye(graymat);
if (leftears!=null && leftears.size()>0 && lefteyes!=null && lefteyes.size()>0){
for(Rect ear : leftears.get()){
result.add(ear);
result.add(dr);
}
}
return result;
}
public static @NonNull List<Rect> HaveRight90Face(UMat graymat){
List<Rect> result = new ArrayList<>();
RectVector rightears = DetectRightEar(graymat);
RectVector righteyes = DetectRightEye(graymat);
if (rightears!=null && rightears.size()>0 && righteyes!=null && righteyes.size()>0){
for(Rect ear : rightears.get()){
result.add(ear);
}
}
return result;
}
private static double scaleFactor = 1.1;
private final static int minNeighbors = 3;
private final static int flags = 0;
private static Size minSize = new Size(200,200);
private static Size maxSize = new Size(400,400);
private static Size FaceminSize = new Size(200,200);
private static Size FacemaxSize = new Size(500,500);
private static final int EyetoFaceRatio = 6;
private static Size EyeminSize = new Size(FaceminSize.width()/EyetoFaceRatio,FaceminSize.height()/EyetoFaceRatio);
private static Size EyemaxSize = new Size(FacemaxSize.width()/EyetoFaceRatio,FacemaxSize.height()/EyetoFaceRatio);
public static void setScaleFactor(double value){
if (scaleFactor!=value) scaleFactor = value;
}
public static void setMinSize(int value){
if (minSize.width()!=value || minSize.height()!=value) minSize = new Size(value, value);
public static void setFaceMinSize(int value){
if (FaceminSize.width()!=value || FaceminSize.height()!=value) {
FaceminSize = new Size(value, value);
EyeminSize = new Size(value/EyetoFaceRatio, value/EyetoFaceRatio);
}
}
public static void setMaxSize(int value){
if (maxSize.width()!=value || maxSize.height()!=value) maxSize = new Size(value, value);
public static void setFaceMaxSize(int value){
if (FacemaxSize.width()!=value || FacemaxSize.height()!=value) {
FacemaxSize = new Size(value, value);
EyemaxSize = new Size(value/EyetoFaceRatio, value/EyetoFaceRatio);
}
}
public static RectVector DetectProfileFace(UMat graymat){
return Detect(graymat, profilefaceDetector, scaleFactor, minNeighbors, flags, minSize, maxSize);
return Detect(graymat, profilefaceDetector, scaleFactor, minNeighbors, flags, FaceminSize, FacemaxSize);
}
@@ -263,10 +224,12 @@ public class Detectors {
* @return RectVector if face detected, otherwise null
*/
public static RectVector DetectFrontalFace(UMat graymat){
return Detect(graymat, frontalfaceDetector, scaleFactor, minNeighbors, flags, minSize, maxSize);
return Detect(graymat, frontalfaceDetector, scaleFactor, minNeighbors, flags, FaceminSize, FacemaxSize);
}
/**
* Detect Eye from Mat
* If Eye detected, it will return RectVector with size is number of eyes detected
@@ -274,49 +237,14 @@ public class Detectors {
* @return RectVector if eye detected, otherwise null
*/
public static RectVector DetectEye(UMat graymat){
//return Detect(graymat, eyeDetector, scaleFactor, minNeighbors, flags, EyeminSize, EyemaxSize);
return Detect(graymat, eyeDetector);
}
/**
* Detect Left Eye from Mat
* @param graymat Mat in Gray Scale
* @return RectVector if left eye detected, otherwise null
*/
public static RectVector DetectLeftEye(UMat graymat){
return Detect(graymat, leftEyeDetector);
}
/**
* Detect Right Eye from Mat
* @param graymat Mat in Gray Scale
* @return RectVector if right eye detected, otherwise null
*/
public static RectVector DetectRightEye(UMat graymat){
return Detect(graymat, rightEyeDetector);
}
/**
* Detect Left Ear from Mat
* @param graymat Mat in Gray Scale
* @return RectVector if left ear detected, otherwise null
*/
public static RectVector DetectLeftEar(UMat graymat){
return Detect(graymat, leftEarDetector);
}
/**
* Detect Right Ear from Mat
* @param graymat Mat in Gray Scale
* @return RectVector if right ear detected, otherwise null
*/
public static RectVector DetectRightEar(UMat graymat){
return Detect(graymat, rightEarDetector);
}
@SuppressWarnings("unused")
private static RectVector Detect(UMat graymat, CascadeClassifier detector){
if (detector!=null){
if (graymat!=null){
@@ -336,6 +264,8 @@ public class Detectors {
if (detector!=null){
if (graymat!=null){
if (!graymat.empty()){
if (minSize!=null){
if (maxSize!=null){
RectVector detected = new RectVector();
detector.detectMultiScale(graymat, detected, scaleFactor, minNeighbors, flags, minSize, maxSize);
return detected;
@@ -343,6 +273,9 @@ public class Detectors {
}
}
}
}
return null;
}

2
src/main/java/id/co/gtc/erhacam/MainApplication.java
View File

@@ -21,7 +21,7 @@ public class MainApplication extends Application {
Screen screen = Screen.getPrimary();
Rectangle2D screenbound = screen.getVisualBounds();
Scene scene = new Scene(fxmlLoader.load(), screenbound.getWidth(), screenbound.getHeight());
stage.setTitle("MultiCam Capture App for ERHA 03022025-011");
stage.setTitle("MultiCam Capture App for ERHA 03022025-033");
stage.setScene(scene);
stage.setResizable(true);
stage.setMaximized(true);

4
src/main/java/id/co/gtc/erhacam/SettingView.java
View File

@@ -84,8 +84,8 @@ public class SettingView {
config.setCascadeScaleFactor(scale);
config.Save();
Detectors.setMaxSize(max);
Detectors.setMinSize(min);
Detectors.setFaceMaxSize(max);
Detectors.setFaceMinSize(min);
Detectors.setScaleFactor(scale);
val alert = new Alert(Alert.AlertType.INFORMATION);
alert.setTitle("Cascade Setting");