Hstack数组函数，未知回溯错误

如何解决Hstack数组函数，未知回溯错误

对此我很抱歉，但是我完全不知道出什么问题了，所以我只想发布所有内容，时间不长，但是我正在使用一些以前从未使用过的功能，所以我不知道出什么问题了，这似乎是numpy hstack的问题，但是我真的不知道。我知道很多，但是有人可以查看一下我的代码吗？

import numpy as np
import argparse
import cv2
import sys



image = cv2.imread("tetris.png")
virtual_board = cv2.imread("tetris.png")

boundaries = (104,120,164)
boundaries1 = (106,122,166)

for (boundaries) in boundaries:
    lower = np.array(boundaries,dtype = "uint8")
    upper = np.array(boundaries1,dtype = "uint8")

    board_mask = cv2.inRange(image,lower,upper)
    output = cv2.bitwise_and(image,image,mask = board_mask)

    contours,_ = cv2.findContours(board_mask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
    print(contours)
    contours = sorted(contours,key=lambda x: cv2.contourArea(x),reverse=True)
        
    cnt = contours[0]
    (board_x,board_y,board_w,board_h) = cv2.boundingRect(cnt)
    cv2.drawContours(image,[cnt],-1,(0,255,0),3)
    cv2.drawContours(virtual_board,3)

    def ResizeWithAspectRatio(image,width=None,height=None,inter=cv2.INTER_AREA):
        dim = None
        (h,w) = image.shape[:2]

        if width is None and height is None:
            return image
        if width is None:
            r = height / float(h)
            dim = (int(w * r),height)
        else:
            r = width / float(w)
            dim = (width,int(h * r))

        return cv2.resize(image,dim,interpolation=inter)

    resize = ResizeWithAspectRatio(image,width=300)
    cv2.imshow("virtual_board",np.hstack([resize,output]))
    cv2.waitKey(0)

我得到的错误是：

Traceback (most recent call last):
  File "C:\Users\hampus.ramsten\Desktop\Detection.py",line 46,in <module>
    cv2.imshow("virtual_board",output]))
  File "<__array_function__ internals>",line 5,in hstack
  File "C:\Users\hampus.ramsten\AppData\Local\Programs\Python\Python38-32\lib\site-packages\numpy\core\shape_base.py",line 346,in hstack
    return _nx.concatenate(arrs,1)
  File "<__array_function__ internals>",in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly,but along dimension 0,the array at index 0 has size 168 and the array at index 1 has size 1080