Plate utility functions

Let's jump to our code in Jupyter Notebook, in order to understand plate utility functions. We will first embed the imports with our utilities.

We will be importing the following libraries:

• OpenCV (version 3.4)
• NumPy
• Pickle, which lets us save Python data and case functions

Import the libraries as follows:

import cv2
import numpy as np
import pickle
def gray_thresh_img(input_image):
     h, w, _ = input_image.shape
     grayimg = cv2.cvtColor(input_image, cv2.COLOR_BGR2HSV)[:,:,2]
    
     kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))
     
     tophat = cv2.morphologyEx(grayimg, cv2.MORPH_TOPHAT, kernel)
     blackhat = cv2.morphologyEx(grayimg, cv2.MORPH_BLACKHAT, kernel)
     graytop = cv2.add(grayimg, tophat)
     contrastgray = cv2.subtract(graytop, blackhat)
     blurred = cv2.GaussianBlur(contrastgray, (5,5), 0)
     thesholded = cv2.adaptiveThreshold...