(WindowsError 183)cv2。i读/写如何使这些函数在运行脚本的不同位置发挥作用

我正在从目录路径C:\Automation\OCR\images运行脚本。我们正在阅读的PNG也是这样。输出路径为:C:\Automation\OCR\Drop。发生的情况是,我的shell中出现了一个错误,即WindowsError:[error 183]无法在文件已经存在的情况下创建文件:“C:\Automation\OCR\Drop”我希望能够隔离脚本,从特定文件夹读取PNG文件,然后将预处理的PNG输出到其他文件夹中。

http://imgur.com/a/AbWUA

import cv2
import numpy as np
import math
import os
from matplotlib import pyplot as plt
from cycler import cycler
from PIL import Image, ImageEnhance

# Read PNG
dirname = 'C:\Automation\OCR\Drop'
os.mkdir(dirname)
img = cv2.imread('teleCapture.png', 0)

def bilateral_adaptive_threshold(img, ksize=20, C=0, mode='floor', true_value=255, false_value=0):
mask = np.full(img.shape, false_value, dtype=np.uint8)

kernel_l = np.array([[1] * (ksize) + [-ksize]], dtype=np.int16)
kernel_r = np.array([[-ksize] + [1] * (ksize)], dtype=np.int16)
kernel_u = np.array([[1]] * (ksize) + [[-ksize]], dtype=np.int16)
kernel_d = np.array([[-ksize]] + [[1]] * (ksize), dtype=np.int16)

if mode == 'floor':
    delta = C * ksize
elif mode == 'ceil':
    delta = -C * ksize
else: raise ValueError("Unexpected mode value. Expected value is 'floor' or 'ceil'.")

left_thresh = cv2.filter2D(img, cv2.CV_16S, kernel_l, anchor=(ksize,0), delta=delta, borderType=cv2.BORDER_CONSTANT)
right_thresh = cv2.filter2D(img, cv2.CV_16S, kernel_r, anchor=(0,0), delta=delta, borderType=cv2.BORDER_CONSTANT)
up_thresh = cv2.filter2D(img, cv2.CV_16S, kernel_u, anchor=(0,ksize), delta=delta, borderType=cv2.BORDER_CONSTANT)
down_thresh = cv2.filter2D(img, cv2.CV_16S, kernel_d, anchor=(0,0), delta=delta, borderType=cv2.BORDER_CONSTANT)

if mode == 'floor':
    mask[((0 > left_thresh) & (0 > right_thresh)) | ((0 > up_thresh) & (0 > down_thresh))] = true_value
elif mode == 'ceil':
    mask[((0 < left_thresh) & (0 < right_thresh)) | ((0 < up_thresh) & (0 < down_thresh))] = true_value
return mask

# Write modified PNG to the path
os.chdir(dirname)
cv2.imwrite('enhancedThresholdTeleCapture.png', img)