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import cv2 |
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from PIL import Image |
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def mark_region(im): |
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gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) |
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blur = cv2.GaussianBlur(gray, (9,9), 0) |
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thresh = cv2.adaptiveThreshold(blur,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV,11,30) |
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kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (9,9)) |
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dilate = cv2.dilate(thresh, kernel, iterations=4) |
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cnts = cv2.findContours(dilate, 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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line_items_coordinates = [] |
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image=None |
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for c in cnts: |
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area = cv2.contourArea(c) |
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x,y,w,h = cv2.boundingRect(c) |
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if y >= 600 and x <= 1000: |
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if area > 10000: |
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image = cv2.rectangle(im, (x,y), (2200, y+h), color=(255,0,255), thickness=3) |
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line_items_coordinates.append([(x,y), (2200, y+h)]) |
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if y >= 2400 and x<= 2000: |
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image = cv2.rectangle(im, (x,y), (2200, y+h), color=(255,0,255), thickness=3) |
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line_items_coordinates.append([(x,y), (2200, y+h)]) |
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return image, line_items_coordinates |