60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
import cv2
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import numpy as np
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from pdf2image import pdf2image
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from vidocp.utils.display import show_mpl
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from vidocp.utils.draw import draw_stats
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from vidocp.utils.deskew import deskew_histbased
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def add_external_contours(image, img):
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contours, hierarchy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
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for cnt in contours:
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x, y, w, h = cv2.boundingRect(cnt)
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cv2.rectangle(image, (x, y), (x + w, y + h), 255, 1)
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return image
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def isolate_vertical_and_horizontal_components(img_bin):
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line_min_width = 30
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kernel_h = np.ones((1, line_min_width), np.uint8)
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kernel_v = np.ones((line_min_width, 1), 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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return img_bin_final
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def parse_table(image: np.array):
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gray_scale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) if len(image.shape)>2 else image
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th1, img_bin = cv2.threshold(gray_scale, 150, 255, cv2.THRESH_BINARY)
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img_bin = ~img_bin
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img_bin = isolate_vertical_and_horizontal_components(img_bin)
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img_bin_final = add_external_contours(img_bin, img_bin)
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_, labels, stats, _ = cv2.connectedComponentsWithStats(~img_bin_final, connectivity=8, ltype=cv2.CV_32S)
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return stats
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def annotate_tables_in_pdf(pdf_path, page_index=1, deskew=True):
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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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if deskew:
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page = deskew_histbased(page)
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stats = parse_table(page)
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page = draw_stats(page, stats)
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show_mpl(page)
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