{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "haarcascade = 'haarcascade_russian_plate_number.xml'\n",
    "\n",
    "img = cv2.imread('car-russian.jpg')\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "img = cv2.resize(img, (640, 480))\n",
    "\n",
    "Cascade = cv2.CascadeClassifier(haarcascade)\n",
    "Cascade = Cascade.detectMultiScale(img, scaleFactor=1.2, minNeighbors=5)\n",
    "\n",
    "if len(Cascade) > 0:\n",
    "    for (x, y, w, h) in Cascade:\n",
    "        # cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)\n",
    "        plate = img[y:y+h,x:x+w]\n",
    "        blur = cv2.medianBlur(plate, 11)\n",
    "        img[y:y+h,x:x+w] = blur\n",
    "        cv2.imshow('Plate-Car',img)\n",
    "    plt.imsave('car-russain-blur.jpg',img)\n",
    "else:\n",
    "    print('Not Found Plate!')\n",
    "\n",
    "if cv2.waitKey(0) & 0xff == ord('q'):\n",
    "    cv2.destroyAllWindows()"
   ]
  }
 ],
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