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commit 27/2025

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Tambah Crop Setting
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rdkartono
2025-05-27 11:26:29 +07:00
parent 9e69714ae1
commit d0fe8123e9
9 changed files with 280 additions and 224 deletions
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32
src/main/java/id/co/gtc/erhacam/Detectors.java
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@@ -84,7 +84,7 @@ 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(UMat graymat){
public static @NonNull List<DetectorResult> HaveFrontalFace(Mat graymat){
List<DetectorResult> result = new ArrayList<>();
RectVector faces = DetectFrontalFace(graymat);
if (faces!=null && faces.size()>0){
@@ -106,7 +106,7 @@ public class Detectors {
return result;
}
public static @NonNull List<DetectorResult> HaveLeft45Face(UMat graymat){
public static @NonNull List<DetectorResult> HaveLeft45Face(Mat graymat){
List<DetectorResult> result = new ArrayList<>();
RectVector faces = DetectProfileFace(graymat);
if (faces!=null && faces.size()>0){
@@ -160,7 +160,7 @@ public class Detectors {
}
public static RectVector DetectProfileFace(UMat graymat){
public static RectVector DetectProfileFace(Mat graymat){
return Detect(graymat, profilefaceDetector, scaleFactor, minNeighbors, flags, FaceminSize, FacemaxSize);
}
@@ -169,7 +169,7 @@ public class Detectors {
* @param graymat Mat in Gray Scale
* @return RectVector if face detected, otherwise null
*/
public static RectVector DetectFrontalFace(UMat graymat){
public static RectVector DetectFrontalFace(Mat graymat){
return Detect(graymat, frontalfaceDetector, scaleFactor, minNeighbors, flags, FaceminSize, FacemaxSize);
}
@@ -179,7 +179,7 @@ public class Detectors {
* @param graymat Mat in Gray Scale
* @return RectVector if eye detected, otherwise null
*/
public static RectVector DetectEye(UMat graymat, int facewidth){
public static RectVector DetectEye(Mat graymat, int facewidth){
//return Detect(graymat, eyeDetector);
int minwidth = (int)(facewidth*0.2);
int maxwidth = (int)(facewidth*0.4);
@@ -189,24 +189,24 @@ public class Detectors {
}
@SuppressWarnings("SameParameterValue")
private static RectVector Detect(UMat graymat, CascadeClassifier detector, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize){
if (detector!=null){
if (graymat!=null && graymat.channels()==1){
if (!graymat.empty()){
if (minSize!=null){
if (maxSize!=null){
try{
private static 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){
if (minSize.width()<= maxSize.width() && minSize.height() <= maxSize.height()){
if (graymat.cols()> minSize.width() && graymat.rows() > minSize.height()) {
try {
RectVector detected = new RectVector();
// try defaulting minSize and maxSize
detector.detectMultiScale(graymat, detected, scaleFactor, minNeighbors, flags, minSize, maxSize);
return detected;
} catch (Exception e){
System.out.println("Detectors Detect Error, Message : "+e.getMessage());
} catch (Exception e) {
System.out.println("Detectors Detect Error, Message : " + e.getMessage());
}
}
}
}
}
}