meinVersuch.py

import time
import os
import numpy as np
import cv2
import pytesseract

# from imutils.video import VideoStream
# from imutils.video import FPS

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'


def preprocessing(img):
    img = cv2.medianBlur(img, 5)
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    kernel = np.ones((1, 1), np.uint8)
    img = cv2.dilate(img, kernel, iterations=1)
    img = cv2.erode(img, kernel, iterations=1)
    # img = cv2.GaussianBlur(img, (5, 5), 0)
    # img = cv2.medianBlur(img, 5)
    img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
    return img


def rescale_frame(frame, percent=75):
    width = int(frame.shape[1] * percent / 100)
    height = int(frame.shape[0] * percent / 100)
    dim = (width, height)
    return cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)


# Check if the webcam is opened correctly
def show_webcam(mirror=False):
    cam = cv2.VideoCapture(1 + cv2.CAP_DSHOW)
    cam.set(3, 1920)
    cam.set(4, 1080)
    time.sleep(2)
    while True:
        ret_val, img = cam.read()
        if mirror:
            img = cv2.flip(img, 1)
        img = preprocessing(img)
        cv2.imshow('my webcam', rescale_frame(img))
        if cv2.waitKey(1) == 27:
            break  # esc to quit
    cv2.destroyAllWindows()


def main():
    show_webcam(mirror=False)


if __name__ == '__main__':
    main()