Car_Plates_Detection.py

#!/usr/bin/env python
# coding: utf-8

# ### Import Libraries

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import cv2
import numpy as np
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')


# ### Open Image

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img=cv2.imread('Images/car_plate.jpg')


# ### Convert Image

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def display(img):
    fig=plt.figure(figsize=(10,8))
    ax=fig.add_subplot(111)
    new_img=cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    ax.imshow(new_img)


# ### Display it

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display(img)


# ### Create Classifier

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plate_classifier=cv2.CascadeClassifier('Haarcascades/haarcascade_plate_number.xml')


# ### It's a Kind of Magic

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def detect_plate(img):
    plate_img=img.copy()
    plate_rects = plate_classifier.detectMultiScale(plate_img, 1.1, 1)
    for (x,y,w,h) in plate_rects:
        cv2.rectangle(plate_img,(x,y),(x+w,y+h),(255,255,2555),5)
    return plate_img


# ### Check the Results

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result=detect_plate(img)


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display(result)


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