下载了Pycarm和Anaconda,在Pycharm运行代码时出现下面报错，图片路径也是全英文，请问怎么修改？
D:\anaconda3\envs\helloword\python.exe D:/secondclass.py
[ WARN:0@0.625] global C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgcodecs\src\loadsave.cpp (239) cv::findDecoder imread_('C:\Users\User\Desktop\200524110515-1-1200\.jpg'): can't open/read file: check file path/integrity
Traceback (most recent call last):
File "D:/secondclass.py", line 11, in <module>
gray_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)
cv2.error: OpenCV(4.6.0) C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
进程已结束，退出代码 1
import cv2
import numpy as np
import matplotlib.pyplot as plt
# 读取图像
original_image = cv2.imread('C:\\Users\\User\\Desktop\\200524110515-1-1200\\.jpg') # 替换成你的图像文件路径
# 将图像转换成灰度图像
gray_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2GRAY)
# 应用高斯滤波以减小噪声
gaussian_image = cv2.GaussianBlur(gray_image, (5, 5), 2) # 调整内核大小和标准差
# 使用Canny边缘检测
edge_image = cv2.Canny(gaussian_image, 100, 200) # 调整阈值
# 显示原始图像、灰度图像、滤波后的图像和边缘图像
plt.figure(figsize=(12, 4))
plt.subplot(141)
plt.imshow(cv2.cvtColor(original_image, cv2.COLOR_BGR2RGB))
plt.title('原始图像')
plt.subplot(142)
plt.imshow(gray_image, cmap='gray')
plt.title('灰度图像')
plt.subplot(143)
plt.imshow(gaussian_image, cmap='gray')
plt.title('高斯滤波后的图像')
plt.subplot(144)
plt.imshow(edge_image, cmap='gray')
plt.title('Canny边缘检测')
plt.show()
# 可选：保存边缘图像到文件
cv2.imwrite('edge_image.jpg', edge_image) # 替换成你想保存的文件路径
