python - 如何检查从图像中提取的值是否已存在于 python 的 txt 或 csv 文件中？

Question

我正在使用 python 和 pytesseract 进行 OCR。所以我想做的就是读取图像上的文本，提取文本并使用文件处理将提取的文本存储在 txt 或 csv 文件中。我想要读取多个文件，存储文本并检查要读取和存储的图像文本是否已存在于 txt 文件中。
这是我的代码，没有任何错误。最后几行是我试图做的，但似乎没有用。任何人都可以帮我解决这个问题吗？提前致谢。

import cv2
import pytesseract,csv,re,os
from PIL import Image
from ast import literal_eval

img = pytesseract.image_to_string(Image.open("test1.png"), lang="eng")
print(img)

with open('C:\\Users\\Hasan\\Videos\\Captures\\saved.csv', "w") as outfile:
    writer = csv.writer(outfile)
    writer.writerow(img)

string = open('C:\\Users\\Hasan\\Videos\\Captures\\saved.csv').read()
new_str = re.sub('[^a-zA-z0-9\n\.]', ' ', string)
open('C:\\Users\\Hasan\\Videos\\Captures\\saved.csv', "w").write(new_str)

# f = open("saved.csv", "r")
# read = f.readline()
# print("\n" + f.read())

with open('C:\\Users\\Hasan\\Videos\\Captures\\saved.csv') as sv:
    for line in sv:
        if img in line:
            print("Data already exists")
        else:
            print("file saved successfully")

Answer 1

在写入 CSV 文件时替换 '\n' 并在比较时从 img 中删除 '\n'。

import cv2
import pytesseract,csv,re,os
from PIL import Image
from ast import literal_eval
img_path = "example_01.png"
out_csv_path = "saved.csv"
img = pytesseract.image_to_string(Image.open(img_path), lang="eng")
print(img)

with open(out_csv_path, "w") as outfile:
    writer = csv.writer(outfile)
    writer.writerow(img)

string = open(out_csv_path).read()
new_str = re.sub('[^a-zA-z0-9\. ]', '', string)
open(out_csv_path, "w").write(new_str)

# f = open("saved.csv", "r")
# read = f.readline()
# print("\n" + f.read())

with open(out_csv_path,newline='') as sv:
    img = re.sub('[^a-zA-z0-9\. ]', '', img)
    for line in sv:
        print("Line text is: {}\nExtracted Text is: {}".format(line,img))
        if img in line:
            print("Data already exists")
        else:
            print("file saved successfully")

示例输出:

Noisyimage
to test
Tesseract OCR
Line text is: Noisyimageto testTesseract OCR
Extracted Text is: Noisyimageto testTesseract OCR
Data already exists