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35 lines
938 B
Python
35 lines
938 B
Python
import cv2
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import logging
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d = 1
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while True:
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try:
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output = ('cropped/page%d.jpg'%d)
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# Load image, convert to grayscale, and find edges
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image = cv2.imread('split/input%d.jpg'%d)
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY)[1]
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# Find contour and sort by contour area
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cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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cnts = cnts[0] if len(cnts) == 2 else cnts[1]
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cnts = sorted(cnts, key=cv2.contourArea, reverse=True)
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# Find bounding box and extract ROI
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for c in cnts:
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x,y,w,h = cv2.boundingRect(c)
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ROI = image[y:y+h, x:x+w]
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break
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cv2.imwrite(output,ROI)
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cv2.waitKey()
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d+=1
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except:
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logging.exception("message")
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print("All pages must be ready!")
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break
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