mirror of
https://github.com/Stirling-Tools/Stirling-PDF.git
synced 2024-07-08 18:20:12 +02:00
38 lines
1.6 KiB
Python
38 lines
1.6 KiB
Python
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))
|