59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
from itertools import count
|
|
|
|
import cv2
|
|
import numpy as np
|
|
import pdf2image
|
|
from matplotlib import pyplot as plt
|
|
|
|
|
|
def parse(image: np.array):
|
|
|
|
gray_scale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
|
th1, img_bin = cv2.threshold(gray_scale, 150, 225, cv2.THRESH_BINARY)
|
|
img_bin = ~img_bin
|
|
|
|
line_min_width = 4
|
|
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
|
|
|
|
_, labels, stats, _ = cv2.connectedComponentsWithStats(~img_bin_final, connectivity=8, ltype=cv2.CV_32S)
|
|
|
|
return labels, stats
|
|
|
|
|
|
def parse_tables_in_pdf(pages):
|
|
return zip(map(parse, pages), count())
|
|
|
|
|
|
def annotate_image(image, stats):
|
|
for x, y, w, h, area in stats[2:]:
|
|
if w > 10 and h > 10:
|
|
cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 255), 2)
|
|
|
|
for i, (s, v) in enumerate(zip(["x", "y", "w", "h"], [x, y, w, h])):
|
|
anno = f"{s} = {v}"
|
|
xann = int(x + 5)
|
|
yann = int(y + h - (20 * (i + 1)))
|
|
cv2.putText(image, anno, (xann, yann), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255, 0, 255), 2)
|
|
|
|
return image
|
|
|
|
|
|
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(page)
|
|
page = annotate_image(page, stats)
|
|
|
|
fig, ax = plt.subplots(1, 1)
|
|
fig.set_size_inches(20, 20)
|
|
ax.imshow(page)
|
|
plt.show()
|