img = cv2.imread('D:\\a_图片合成\\test_id_card\\ceshi_身份证正面\\0a5f666528a4f4d89500a5a4e6ef4df7.jpg') 路径是本地路径为什么读不到？

是因为路径中的反斜杠被转义了，可以将路径中的反斜杠改为正斜杠或者在每个反斜杠前加上一个额外的反斜杠。例如：

img = cv2.imread('D:/a_图片合成/test_id_card/ceshi_身份证正面/0a5f666528a4f4d89500a5a4e6ef4df7.jpg')

或者

img = cv2.imread('D:\\\\a_图片合成\\\\test_id_card\\\\ceshi_身份证正面\\\\0a5f666528a4f4d89500a5a4e6ef4df7.jpg')

相关问题

优化这段代码import os import cv2 import numpy as np def MediumFilter(img_path='D:\pythonProject2\111.jpg'): img_src=cv2.imread(img_path) img=cv2.resize(src=img_src, dsize=(450, 450)) img=cv2.medianBlur(img, ksize=5) cv2.imshow('img', img) cv2.imshow('img_src', img_src) cv2.waitKey(0) cv2.destroyAllWindows() if __name__ == '__main__': print('Pycharm') MediumFilter()

这段代码可以进行如下优化：

1. 将图片路径作为参数传入函数中，而不是在函数内部指定。这样可以使代码更加灵活，适用于不同的图片路径。
2. 将图片大小的调整和中值滤波分开进行，这样可以更好地控制每个操作的效果。
3. 添加异常处理，以防止程序因为无法打开图片而崩溃。

重构后的代码如下：

import os 
import cv2 
import numpy as np 

def medium_filter(img_path):
    try:
        img_src = cv2.imread(img_path)
        img_resized = cv2.resize(src=img_src, dsize=(450, 450))
        img_filtered = cv2.medianBlur(img_resized, ksize=5)
        cv2.imshow('img_filtered', img_filtered)
        cv2.imshow('img_src', img_src)
        cv2.waitKey(0)
        cv2.destroyAllWindows()
    except Exception as e:
        print(f"Error: {e}")

if __name__ == '__main__':
    img_path = 'D:\pythonProject2\111.jpg'
    medium_filter(img_path)

这样代码更加简洁、容错性更好、可读性更高。

img = cv2.imread('D:/Jupyter_Notebooks/0.jpg') #, cv2.IMREAD_GRAYSCALE up = cv2.pyrUp(img) up_down = cv2.pyrDown(up) cv2.imshow("up_down", up_down) cv2.imshow("up_downs", np.hstack((img, up_down))) up = cv2.pyrUp(img) up_down = cv2.pyrDown(up) cv2.imshow("img-up_down", img - up_down) 这段代码什么意思？

The line of code you provided is using the OpenCV library in Python to read an image file "0.jpg" located at "D:/Jupyter_Notebooks/". The image is loaded into a variable named "img".

Assuming that the image file exists at the specified location, the imread() function will return a NumPy array representing the image. This array can then be manipulated or processed using various OpenCV functions.

It's worth noting that if the image file does not exist or there are issues with the file, the imread() function will return None.