使用 pytesseract 执行 OCR 时出错

Question

FileNotFoundError: [WinError 2] The system cannot find the file specified.

During handling of the above exception, another exception occurred: pytesseract.pytesseract.TesseractNotFoundError: tesseract is not installed or it's not in your path.  

我正在使用 Pycharm 社区并尝试为 OCR 安装 tesseract。我的代码如下：

import cv2

import numpy as np

import pytesseract

from PIL import Image

from pytesseract import image_to_string

# Path of working folder on Disk

src_path = "C:/Users/fsipl/Desktop/"

def get_string(img_path):

    # Read image with opencv

    img = cv2.imread(img_path)

    # Convert to gray

    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # Apply dilation and erosion to remove some noise

    kernel = np.ones((1, 1), np.uint8)

    img = cv2.dilate(img, kernel, iterations=1)

    img = cv2.erode(img, kernel, iterations=1)

    # Write image after removed noise

    cv2.imwrite(src_path + "removed_noise.png", img)

    #  Apply threshold to get image with only black and white

    #img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)

    # Write the image after apply opencv to do some ...

    cv2.imwrite(src_path + "thres.png", img)

    # Recognize text with tesseract for python

    result = pytesseract.image_to_string(Image.open(src_path + "thres.png"))

    # Remove template file

    #os.remove(temp)

    return result

print('--- Start recognize text from image ---')

print(get_string(src_path+"word_text.jpg"))

print("------ Done -------")

Answer 1

是的，我通过单行更改解决了问题。我们必须提供pytesseract exe的可执行路径pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files (x86)\Tesseract-OCR\tesseract.exe'这是下面的代码：def get_string(img_path):    # Read image with opencv    img = cv2.imread(img_path)    # Convert to gray    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)    # Apply dilation and erosion to remove some noise    kernel = np.ones((1, 1), np.uint8)    img = cv2.dilate(img, kernel, iterations=1)    img = cv2.erode(img, kernel, iterations=1)    # Write image after removed noise    cv2.imwrite(src_path + "removed_noise.png", img)    #  Apply threshold to get image with only black and white    # img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)    # Write the image after apply opencv to do some ...    cv2.imwrite(src_path + "thres.png", img)    # Recognize text with tesseract for python    pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe'    result = pytesseract.image_to_string(Image.open(src_path + "thres.png"))    # Remove template file    # os.remove(temp)    return result