我想从图像中提取表格。这个 python 模块https://pypi.org/project/ExtractTable/ https://pypi.org/project/ExtractTable/与他们的网站https://www.extracttable.com/pro.html https://www.extracttable.com/pro.html这项工作做得很好,但他们的免费试用有限。我确实尝试了很多事情,但结果很不令人满意。该网站/Python 模块如何生成 100% 准确的表格。该解决方案应该适用于此驱动器链接上提供的这 3 个图像https://drive.google.com/drive/folders/1v3UDuR7dUFVMR1im7VHTXKqkxTIV9px9?usp=sharing https://drive.google.com/drive/folders/1v3UDuR7dUFVMR1im7VHTXKqkxTIV9px9?usp=sharing
这是我尝试过的,效果很差。帮我提取类似该模块的表。
import cv2 as cv
import numpy as np
import pytesseract
from pytesseract import Output
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (120,16)
ebl='data/manu.png'
ROI_number=0
image = cv.imread(ebl)
original=image
gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
custom_config = r'--oem 3 --psm 6'
details = pytesseract.image_to_data(gray, output_type=Output.DICT, config=custom_config, lang='eng')
total_boxes = len(details['text'])
for sequence_number in range(total_boxes):
if int(details['conf'][sequence_number]) >30:
(x, y, w, h) = (details['left'][sequence_number], details['top'][sequence_number], details['width'][sequence_number], details['height'][sequence_number])
threshold_img = cv.rectangle(original, (x, y), (x + w, y + h), (0, 255, 0), 2)
plotting = plt.imshow(threshold_img)
plt.show()