#!/usr/bin/env python
# -*- coding: utf-8 -*-

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)