Abnormal interpretation

When using OpenCV to write code, there will be a valueerror: all the input arrays must have the same number of dimensions error

The error is a value error. For example, the following code will report an error

import cv2 as cv
import numpy as np

# Read the grayscale image
image1 = cv.imread("11.jpg", 0)
# Read the color image
image2 = cv.imread("11.jpg")

# Error location
image = np.hstack((image1, image2))

cv.imshow("img", image)
cv.waitKey()

The reason for this bug is that [image dimensions are different], and the influence functions are NP. Hstack ((M1, M2)) , NP. Column_ stack((m1,m2))，np.concatenate([m1, m2])

Exception resolution

Modify the image dimension, check the different positions of the image dimension, and adjust it

The specific code is different, we can adjust it by ourselves

Appendix

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Error prompt template can be compared with your error

Traceback (most recent call last):
  File "e:/crawl100/opencv_ppt/error.py", line 10, in <module>
    image = np.hstack((image1, image2)).toarray()
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\site-packages\numpy\core\shape_base.py", line 340, in hstack
    return _nx.concatenate(arrs, 1)
ValueError: all the input arrays must have same number of dimensions