10-2- QrCodeReaderOpencv-image.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "030de75e-7756-4015-8938-70df7b69cc50",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0b49d1d0-1144-4cb8-85b0-4b038d026c02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1acb6b93d08>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = cv2.imread(\"test.png\")\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d888deaf-283b-49f8-95ad-50c527bfee47",
   "metadata": {},
   "outputs": [],
   "source": [
    "# initialize the cv2 QRCode detector\n",
    "detector = cv2.QRCodeDetector()\n",
    "\n",
    "# detect and decode\n",
    "data, bbox, straight_qrcode = detector.detectAndDecode(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "175c457e-a22f-42b3-9a66-fb0acf5b4a42",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QRCode data:\n",
      "nsebrahimian@gmail.com\n"
     ]
    }
   ],
   "source": [
    "# if there is a QR code\n",
    "\n",
    "if bbox is not None:\n",
    "    print(f\"QRCode data:\\n{data}\")\n",
    "    \n",
    "    n_lines = len(bbox)\n",
    "\n",
    "    for i in range(n_lines):\n",
    "        \n",
    "        coordinates = np.asarray(bbox[i], dtype = 'int')\n",
    "        \n",
    "        cv2.rectangle(img, (coordinates[0][0], coordinates[0][1]), (coordinates[2][0], coordinates[2][1]), color=(0, 255, 255), thickness=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1f0b12db-1601-4771-8646-606ef1493ccc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display the result\n",
    "\n",
    "plt.imshow(img)\n",
    "# cv2.imshow(\"img\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fe101a72-b4e3-4e97-b03f-4f84e4006042",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create QRcode\n",
    "import qrcode\n",
    "\n",
    "data = \"nsebrahimian@gmail.com\"\n",
    "\n",
    "filename = \"test.png\"\n",
    "img = qrcode.make(data)\n",
    "img.save(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7e75466-f557-4e60-890c-44c1e2b88e3e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}