from functools import partial import cv2 import numpy as np from pdf2image import pdf2image from vidocp.utils.display import show_mpl from vidocp.utils.draw import draw_stats, draw_rectangles from vidocp.utils.filters import is_large_enough from vidocp.utils.post_processing import remove_isolated def add_external_contours(image, img): contours, _ = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) # contours = filter(partial(is_large_enough, min_area=5000000), contours) for cnt in contours: x, y, w, h = cv2.boundingRect(cnt) cv2.rectangle(image, (x, y), (x + w, y + h), 255, 1) return image def isolate_vertical_and_horizontal_components(img_bin): line_min_width = 30 kernel_h = np.ones((1, line_min_width), np.uint8) kernel_v = np.ones((line_min_width, 1), np.uint8) img_bin_h = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_h) img_bin_v = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_v) img_bin_final = img_bin_h | img_bin_v return img_bin_final def parse_table(image: np.array): gray_scale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) th1, img_bin = cv2.threshold(gray_scale, 150, 255, cv2.THRESH_BINARY) img_bin = ~img_bin img_bin = isolate_vertical_and_horizontal_components(img_bin) img_bin_final = add_external_contours(img_bin, img_bin) _, _, stats, _ = cv2.connectedComponentsWithStats(~img_bin_final, connectivity=8, ltype=cv2.CV_32S) def is_large_enough(stat): x1, y1, w, h, area = stat return area > 3000 stats = np.vstack(list(filter(is_large_enough, stats))) rects = stats[:, :-1][2:] # FIXME: For some reason some isolated rects remain. rects = remove_isolated(rects, input_sorted=True) return rects def annotate_tables_in_pdf(pdf_path, page_index=1): page = pdf2image.convert_from_path(pdf_path, first_page=page_index + 1, last_page=page_index + 1)[0] page = np.array(page) stats = parse_table(page) page = draw_rectangles(page, stats) show_mpl(page)