import cv2
import logging

d = 1

while True:
    try:
        output = ('cropped/page%d.jpg'%d)

        # Load image, convert to grayscale, and find edges
        image = cv2.imread('split/input%d.jpg'%d)
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY)[1]

        # Find contour and sort by contour area
        cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
        cnts = cnts[0] if len(cnts) == 2 else cnts[1]
        cnts = sorted(cnts, key=cv2.contourArea, reverse=True)

        # Find bounding box and extract ROI
        for c in cnts:
            x,y,w,h = cv2.boundingRect(c)
            ROI = image[y:y+h, x:x+w]
            break

        cv2.imwrite(output,ROI)
        cv2.waitKey()

        d+=1

    except:
        logging.exception("message")
        print("All pages must be ready!")
        break