我尝试使用mss和pytesseract在python中创建一个真实的OCR。
到目前为止，我已经能够捕捉我的整个屏幕，它有一个稳定的30帧每秒。如果我想捕捉一个较小的区域约500x500，我已经能够得到100+帧每秒。
然而，一旦我包含了这行代码，text = pytesseract.image_to_string(img)，boom 0.8 FPS。有没有什么方法可以优化我的代码以获得更好的FPS？而且代码能够检测文本，只是速度非常慢。

from mss import mss
import cv2
import numpy as np
from time import time
import pytesseract

pytesseract.pytesseract.tesseract_cmd = r'C:\\Users\\Vamsi\\AppData\\Local\\Programs\\Tesseract-OCR\\tesseract.exe'

with mss() as sct:
    # Part of the screen to capture
    monitor = {"top": 200, "left": 200, "width": 500, "height": 500}

    while "Screen capturing":
        begin_time = time()

        # Get raw pixels from the screen, save it to a Numpy array
        img = np.array(sct.grab(monitor))

        # Finds text from the images
        text = pytesseract.image_to_string(img)

        # Display the picture
        cv2.imshow("Screen Capture", img)

        # Display FPS
        print('FPS {}'.format(1 / (time() - begin_time)))

        # Press "q" to quit
        if cv2.waitKey(25) & 0xFF == ord("q"):
            cv2.destroyAllWindows()
            break