类型错误：'key'是此函数的无效关键字参数

Question

我正在尝试使用OpenCV将图像转换为文本，但是代码给出以下错误：

contours.sort(key=lambda x: get_contour_precedence(x, img.shape[1]))
TypeError: 'key' is an invalid keyword argument for this function error.

有什么方法可以解决吗？这是代码：

import cv2
import pytesseract
import numpy as np
import PIL.Image as Image

pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files\Tesseract- 
OCR\tesseract'
def get_contour_precedence(contour, cols):
    tolerance_factor = 20
    origin = cv2.boundingRect(contour)
    return ((origin[0] // tolerance_factor) * tolerance_factor) * cols + 
    origin[1]

img = cv2.imread("C:/Users/Akshatha/Desktop/text_detection_from 
_image/images/news1.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 0, 255,cv2.THRESH_BINARY_INV + 
cv2.THRESH_OTSU)
kernel = np.ones((5, 5), np.uint8)
erosion = cv2.erode(thresh, kernel, iterations=1)
dilation = cv2.dilate(thresh, kernel, iterations=3)
(contours, heirarchy,_) = cv2.findContours(dilation, cv2.RETR_EXTERNAL, 
cv2.CHAIN_APPROX_SIMPLE)
heirarchy = heirarchy[0]
print("start")
print(np.array(heirarchy).shape, np.array(contours).shape)
print("stop")
contours.sort(key=lambda x: get_contour_precedence(x, img.shape[1]))
# print(contours[0])
idx = 0
textlist = []
i = 0
rect_list = []
for c in contours:
  # get the bounding rect
  x, y, w, h = cv2.boundingRect(c)
  rect_list.append((x, y, x + w, y + h))
  # draw a green rectangle to visualize the bounding rect
  cv2.rectangle(img, (x, y), (x + w, y + h), (255, 255, 0), 3)
  roi = img[y:y + h, x:x + w]
  text = pytesseract.image_to_string(roi, lang='eng', config='--oem 1 -- 
   psm 6 -c preserve_interword_spaces=1 ')
   print(text)
  cv2.putText(img, "#{}".format(i + 1), (x, y - 15), 
  cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 4)
   i += 1
cv2.namedWindow('Dilation', cv2.WINDOW_NORMAL)
cv2.imshow('Dilation', img)
cv2.waitKey(0)

Answer 1

您正在使用的sort()函数不使用key参数。如果contours是一种疑惑，您可以尝试使用sorted()而不是这样：

sorted(contours, key=lambda x:x)

请注意，这将返回列表。