rdkartono/ErhaCam
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commit 22/07/2025

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rdkartono
2025-07-22 11:33:13 +07:00
parent 3539fb7d65
commit 49ac4353b3
11 changed files with 134 additions and 57 deletions
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37
src/main/java/id/co/gtc/erhacam/Detectors.java
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@@ -20,16 +20,23 @@ public class Detectors {
private static Size FaceminSize;
private static Size FacemaxSize;
public static void LoadAllDetectors(){
public Detectors(){
LoadFrontalFaceDetector();
LoadEyeDetector();
LoadProfileFaceDetector();
}
private static void LoadFrontalFaceDetector(){
// public static void LoadAllDetectors(){
//
// LoadFrontalFaceDetector();
// LoadEyeDetector();
//
// LoadProfileFaceDetector();
//
// }
private void LoadFrontalFaceDetector(){
// revisi 09/05/2025, dari filename = SomeCodes.ExtractResource("/haarcascade_frontalface_default.xml");
String filename = SomeCodes.ExtractResource("/haarcascade_frontalface_alt.xml");
if (filename!=null) {
@@ -46,7 +53,7 @@ public class Detectors {
} else Logger.error("Unable to extract face detector file");
}
private static void LoadProfileFaceDetector(){
private void LoadProfileFaceDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_profileface.xml");
if (filename!=null) {
Logger.info("Profile Face Detector file : " + filename);
@@ -62,7 +69,7 @@ public class Detectors {
} else Logger.error("Unable to extract profile face detector file");
}
private static void LoadEyeDetector(){
private void LoadEyeDetector(){
String filename = SomeCodes.ExtractResource("/haarcascade_eye.xml");
if (filename!=null) {
Logger.info("Eye Detector file : " + filename);
@@ -84,7 +91,7 @@ public class Detectors {
* @param graymat Mat in Gray Scale
* @return List of Rect if face detected, otherwise empty list
*/
public static @NonNull List<DetectorResult> HaveFrontalFace(Mat graymat){
public @NonNull List<DetectorResult> HaveFrontalFace(Mat graymat){
List<DetectorResult> result = new ArrayList<>();
RectVector faces = DetectFrontalFace(graymat);
if (faces!=null && faces.size()>0){
@@ -106,7 +113,7 @@ public class Detectors {
return result;
}
public static @NonNull List<DetectorResult> HaveLeft45Face(Mat graymat){
public @NonNull List<DetectorResult> HaveLeft45Face(Mat graymat){
List<DetectorResult> result = new ArrayList<>();
RectVector faces = DetectProfileFace(graymat);
if (faces!=null && faces.size()>0){
@@ -129,11 +136,11 @@ public class Detectors {
public static void setScaleFactor(double value){
public void setScaleFactor(double value){
if (scaleFactor!=value) scaleFactor = value;
}
public static void setFaceMinSize(int value){
public void setFaceMinSize(int value){
if (FaceminSize!=null){
if (FaceminSize.width()!=value || FaceminSize.height()!=value) {
FaceminSize = new Size(value, value);
@@ -146,7 +153,7 @@ public class Detectors {
}
public static void setFaceMaxSize(int value){
public void setFaceMaxSize(int value){
if (FacemaxSize!=null){
if (FacemaxSize.width()!=value || FacemaxSize.height()!=value) {
FacemaxSize = new Size(value, value);
@@ -160,7 +167,7 @@ public class Detectors {
}
public static RectVector DetectProfileFace(Mat graymat){
public RectVector DetectProfileFace(Mat graymat){
return Detect(graymat, profilefaceDetector, scaleFactor, minNeighbors, flags, FaceminSize, FacemaxSize);
}
@@ -169,7 +176,7 @@ public class Detectors {
* @param graymat Mat in Gray Scale
* @return RectVector if face detected, otherwise null
*/
public static RectVector DetectFrontalFace(Mat graymat){
public RectVector DetectFrontalFace(Mat graymat){
return Detect(graymat, frontalfaceDetector, scaleFactor, minNeighbors, flags, FaceminSize, FacemaxSize);
}
@@ -179,7 +186,7 @@ public class Detectors {
* @param graymat Mat in Gray Scale
* @return RectVector if eye detected, otherwise null
*/
public static RectVector DetectEye(Mat graymat, int facewidth){
public RectVector DetectEye(Mat graymat, int facewidth){
//return Detect(graymat, eyeDetector);
int minwidth = (int)(facewidth*0.2);
int maxwidth = (int)(facewidth*0.4);
@@ -189,7 +196,7 @@ public class Detectors {
}
@SuppressWarnings("SameParameterValue")
private static RectVector Detect(Mat graymat, CascadeClassifier detector, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize){
private RectVector Detect(Mat graymat, CascadeClassifier detector, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize){
if (detector!=null && !detector.empty()){
if (graymat!=null && graymat.channels()==1 && !graymat.empty()){
if (minSize!=null && maxSize!=null){