D:\python3.8\python.exe D:/pythonProject1/canny.py Traceback (most recent call last): File "D:/pythonProject1/canny.py", line 26, in <module> img_canny = canny(gray_smoothed, low_threshold, high_threshold) File "D:\python3.8\lib\site-packages\skimage\feature\_canny.py", line 314, in canny raise ValueError("low_threshold should be lower then high_threshold") ValueError: low_threshold should be lower then high_threshold 进程已结束,退出代码1

这个错误提示是因为你在调用canny函数时，传入的低阈值参数小于了高阈值参数。可以检查一下你传入的参数是否正确，或者尝试交换一下参数的位置。下面是一个示例代码：

import cv2
import numpy as np

def canny(image, low_threshold, high_threshold):
    return cv2.Canny(image, low_threshold, high_threshold)

if __name__ == '__main__':
    img = cv2.imread('test.jpg', 0)
    gray_smoothed = cv2.GaussianBlur(img, (3, 3), 0)
    low_threshold = 50
    high_threshold = 150
    img_canny = canny(gray_smoothed, low_threshold, high_threshold)
    cv2.imshow('Canny', img_canny)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

你可以将上述代码保存为canny.py，并且将一张图片命名为test.jpg放在相同的目录下，然后运行代码。