Commit 21032025

src/main/java/Config/SomeCodes.java

@@ -8,6 +8,7 @@ import javafx.scene.control.Alert;
 import javafx.scene.image.Image;
 import org.bytedeco.javacv.Java2DFrameConverter;
 import org.bytedeco.javacv.OpenCVFrameConverter;
+import org.bytedeco.opencv.global.opencv_core;
 import org.bytedeco.opencv.global.opencv_imgcodecs;
 import org.bytedeco.opencv.global.opencv_imgproc;
 import org.bytedeco.opencv.opencv_core.Mat;
@@ -29,6 +30,8 @@ import java.time.format.DateTimeFormatter;
 import java.util.ArrayList;
 import java.util.List;
 
+import static org.bytedeco.opencv.global.opencv_core.CV_64F;
+
 @SuppressWarnings("unused")
 public class SomeCodes {
     public final static String currentDirectory = System.getProperty("user.dir");
@@ -130,10 +133,6 @@ public class SomeCodes {
         }
     }
 
-
-
-
-
     /**
      * Make thumbfile from source jpg file
      * @param sourcejpg source jpg file
@@ -516,6 +515,14 @@ public class SomeCodes {
         return false;
     }
 
+    public static void Print(String... x){
+        if (x!=null && x.length>0){
+            for(String xx : x){
+                System.out.println(xx);
+            }
+        }
+    }
+
     /**
      * Check if Region of Interest is inside UMat
      * @param ROI Region of Interest
@@ -598,4 +605,50 @@ public class SomeCodes {
         alert.showAndWait();
     }
 
+    public static double CalculateSharpness(String filename){
+        if (ValidFile(filename)){
+            try(Mat mat = opencv_imgcodecs.imread(filename)){
+                return CalculateSharpness(new UMat(mat));
+            } catch (Exception e){
+                Logger.error("Error calculating sharpness: "+filename+", Msg : "+e.getMessage());
+            }
+        }
+        return 0;
+    }
+
+    public static double FindLowestValue(double... values){
+        if (values!=null && values.length>0){
+            double lowest = values[0];
+            for(double x : values){
+                if (x<lowest){
+                    lowest = x;
+                }
+            }
+            return lowest;
+        }
+        return 0;
+    }
+
+    public static double CalculateSharpness(UMat mat){
+        if (mat!=null && !mat.empty()){
+            UMat gray = new UMat();
+            opencv_imgproc.cvtColor(mat, gray, opencv_imgproc.COLOR_BGR2GRAY);
+            UMat laplacian = new UMat();
+
+            opencv_imgproc.Laplacian(gray, laplacian, CV_64F);
+            UMat mean = new UMat(1,1, CV_64F);
+            UMat stddev = new UMat(1,1, CV_64F);
+            opencv_core.meanStdDev(laplacian, mean, stddev);
+
+            Mat _std = new Mat();
+            stddev.copyTo(_std);
+
+            return _std.ptr(0).getDouble() * _std.ptr(0).getDouble();
+        }
+        return 0;
+    }
+
+    public static boolean IsBlurred(UMat mat, double threshold){
+        return CalculateSharpness(mat)<threshold;
+    }
 }