rebased on master

main.py

@@ -0,0 +1,45 @@
+import sys
+import cv2
+from pathlib import Path
+
+def laplace_edge_detection(image_path, output_path):
+    """
+    Opens an image, applies Laplace filtering for edge detection,
+    and saves the resulting grayscale image.
+
+    Args:
+        image_path (str): Path to the input image file.
+        output_path (str): Path to save the processed image.
+    """
+
+    try:
+        # Open the image in grayscale mode
+        img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
+
+        if img is None:
+            print(f"Error: Could not open or read image at {image_path}")
+            return
+
+        # Apply Laplace filter for edge detection
+        laplace_kernel = np.array([[0, 1, 0],
+                                   [1, -4, 1],
+                                   [0, 1, 0]])  # Standard Laplace kernel
+        laplace_filtered = cv2.filter2D(img, -1, laplace_kernel)
+
+        # Convert to uint8 (grayscale 8-bit) and clip values to the valid range [0, 255]
+        laplace_filtered = np.uint8(laplace_filtered)  # Important for saving correctly
+
+        # Save the resulting image
+        cv2.imwrite(output_path, laplace_filtered)
+
+        print(f"Laplace edge detection complete. Image saved to {output_path}")
+
+    except Exception as e:
+        print(f"An error occurred: {e}")
+
+
+if __name__ == "__main__":
+    import numpy as np  # Import here, only if needed for the main execution
+    input_path = sys.argv[1]
+    output_path = sys.argv[2]
+    laplace_edge_detection(input_path, output_path)