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68 lines
1.6 KiB
Python
68 lines
1.6 KiB
Python
import cv2
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import time
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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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threshold = 25
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time.sleep(1)
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input = ('input%d.jpg'%d)
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page = ('page%d.jpg'%d)
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print("Value of d is:",d,"\n","Page name:",input)
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img = cv2.imread(input, 0) # load grayscale version
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# the indeces where the useful region starts and ends
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hStrart = 0
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hEnd = img.shape[0]
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vStart = 0
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vEnd = img.shape[1]
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# get row and column maxes for each row and column
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hMax = img.max(1)
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vMax = img.max(0)
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hDone_flag = False
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vDone_flag = False
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# go through the list of max and begin where the pixel value is greater
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# than the threshold
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for i in range(hMax.size):
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if not hDone_flag:
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if hMax[i] > threshold:
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hStart = i
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hDone_flag = True
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if hDone_flag:
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if hMax[i] < threshold:
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hEnd = i
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break
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for i in range(vMax.size):
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if not vDone_flag:
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if vMax[i] > threshold:
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vStart = i
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vDone_flag = True
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if vDone_flag:
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if vMax[i] < threshold:
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vEnd = i
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break
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# load the color image and choose only the useful area from it
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img2 = (cv2.imread(input))[hStart:hEnd, vStart:vEnd,:]
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# write the cropped image
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cv2.imwrite(page, img2)
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d+=1
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print("Value of d is:", d)
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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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