Game fixes and ocr docs (#824)

scripts/detect-blank-pages.py

@@ -1,37 +0,0 @@
-import cv2
-import sys
-import argparse
-import numpy as np
-
-def is_blank_image(image_path, threshold=10, white_percent=99, white_value=255, blur_size=5):
-    image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
-
-    if image is None:
-        print(f"Error: Unable to read the image file: {image_path}")
-        return False
-
-    # Apply Gaussian blur to reduce noise
-    blurred_image = cv2.GaussianBlur(image, (blur_size, blur_size), 0)
-
-    _, thresholded_image = cv2.threshold(blurred_image, white_value - threshold, white_value, cv2.THRESH_BINARY)
-
-    # Calculate the percentage of white pixels in the thresholded image
-    white_pixels = np.sum(thresholded_image == white_value)
-    white_pixel_percentage = (white_pixels / thresholded_image.size) * 100
-
-    print(f"Page has white pixel percent of {white_pixel_percentage}")
-    return white_pixel_percentage >= white_percent
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description='Detect if an image is considered blank or not.')
-    parser.add_argument('image_path', help='The path to the image file.')
-    parser.add_argument('-t', '--threshold', type=int, default=10, help='Threshold for determining white pixels. The default value is 10.')
-    parser.add_argument('-w', '--white_percent', type=float, default=99, help='The percentage of white pixels for an image to be considered blank. The default value is 99.')
-    args = parser.parse_args()
-
-    blank = is_blank_image(args.image_path, args.threshold, args.white_percent)
-
-    # Return code 1: The image is considered blank.
-    # Return code 0: The image is not considered blank.
-    sys.exit(int(blank))