我在该网站上找到了以下代码：

import os
import os.path
import cv2
import glob
import imutils
CAPTCHA_IMAGE_FOLDER = "generated_captcha_images"
OUTPUT_FOLDER = "extracted_letter_images"


# Get a list of all the captcha images we need to process
captcha_image_files = glob.glob(os.path.join(CAPTCHA_IMAGE_FOLDER, "*"))
counts = {}

# loop over the image paths
for (i, captcha_image_file) in enumerate(captcha_image_files):
    print("[INFO] processing image {}/{}".format(i + 1, len(captcha_image_files)))

    # Since the filename contains the captcha text (i.e. "2A2X.png" has the text "2A2X"),
    # grab the base filename as the text
    filename …

我找到了一些应该有用的代码,但是没有.我做错了什么/缺少了什么？

来源:如何在图像中找到类似结构的表格

def find_table_in_boxes(boxes, cell_threshold=10, min_columns=2):
    for box in boxes:
        (x, y, w, h) = box
        print(box)
        col_key = x // cell_threshold

if __name__ == '__main__':
    text_boxes = [
        {
            'x': 123,
            'y': 512,
            'w': 100,
            'h': 150
        },
        {
            'x': 500,
            'y': 512,
            'w': 100,
            'h': 150
        }
    ]
    cells = find_table_in_boxes(text_boxes)

错误

# python test.py
{'x': 123, 'w': 100, 'y': 512, 'h': 150}
Traceback (most recent call last):
  File "test.py", line 22, in <module>
    cells = find_table_in_boxes(text_boxes) …