57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
from itertools import count
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import cv2
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import numpy as np
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import pdf2image
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from matplotlib import pyplot as plt
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import imutils
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def parse(image: np.array):
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gray_scale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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blurred = cv2.GaussianBlur(gray_scale, (5, 5), 1)
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thresh = cv2.threshold(blurred, 253, 255, cv2.THRESH_BINARY)[1]
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img_bin = ~thresh
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line_min_width = 10
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kernel_h = np.ones((10, line_min_width), np.uint8)
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kernel_v = np.ones((line_min_width, 10), np.uint8)
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img_bin_h = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_h)
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img_bin_v = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_v)
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img_bin_final = img_bin_h | img_bin_v
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contours = cv2.findContours(img_bin_final, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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contours = imutils.grab_contours(contours)
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for c in contours:
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peri = cv2.arcLength(c, True)
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approx = cv2.approxPolyDP(c, 0.04 * peri, True)
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yield cv2.boundingRect(approx)
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def parse_tables_in_pdf(pages):
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return zip(map(parse, pages), count())
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def annotate_boxes(image, rects):
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for rect in rects:
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(x, y, w, h) = rect
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cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
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return image
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def annotate_tables_in_pdf(pdf_path, page_index=1):
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page = pdf2image.convert_from_path(pdf_path, first_page=page_index + 1, last_page=page_index + 1)[0]
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page = np.array(page)
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asd = parse(page)
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page = annotate_boxes(page, asd)
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fig, ax = plt.subplots(1, 1)
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fig.set_size_inches(20, 20)
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ax.imshow(page)
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plt.show() |