i hope this works

Signed-off-by: Balazs Horvath <[email protected]>

img_remove_white_border

@@ -0,0 +1,45 @@
+#!/usr/bin/env python
+
+import cv2
+import numpy as np
+import sys
+import os
+
+def remove_white_borders(image_path):
+    # Read the image
+    image = cv2.imread(image_path)
+
+    # Convert the image to grayscale
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+    # Apply a binary threshold to get a binary image
+    _, binary = cv2.threshold(gray, 240, 255, cv2.THRESH_BINARY)
+
+    # Invert the binary image
+    binary = cv2.bitwise_not(binary)
+
+    # Find contours in the binary image
+    contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+    # Get the bounding box of the largest contour
+    x, y, w, h = cv2.boundingRect(contours[0])
+
+    # Crop the image using the bounding box
+    cropped_image = image[y:y+h, x:x+w]
+
+    # Create the output path with the -cropped suffix
+    base, ext = os.path.splitext(image_path)
+    output_path = f"{base}-cropped.png"
+
+    # Save the cropped image in lossless PNG format
+    cv2.imwrite(output_path, cropped_image)
+
+    print(f"Cropped image saved as {output_path}")
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        print("Usage: python script.py <image_path>")
+    else:
+        image_path = sys.argv[1]
+        remove_white_borders(image_path)
+