qr_barcode_generators.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "51e99eb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import barcode\n",
    "from barcode.writer import ImageWriter\n",
    "import qrcode\n",
    "from  matplotlib import pyplot as plt\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "46af8dc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def qr_generator(data: str, name: str):\n",
    "    \n",
    "    qr = qrcode.QRCode(\n",
    "        version=1,\n",
    "        error_correction=qrcode.constants.ERROR_CORRECT_H,\n",
    "        box_size=1,\n",
    "        border=1,\n",
    "    )\n",
    "    qr.add_data(data)\n",
    "    qr.make(fit=True)\n",
    "\n",
    "    qr_img = qr.make_image(back_color=(10, 10, 70), fill_color=(255, 255, 50))\n",
    "    qr_img.save(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "13295756",
   "metadata": {},
   "outputs": [],
   "source": [
    "def qr_fast_generator(data: str, name: str):\n",
    "\n",
    "    qr = qrcode.make(data)\n",
    "    qr.save(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "86f58d4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def barcode_generator(data: str, type_of_coding: str, name: str):\n",
    "    \n",
    "    barcode_format = barcode.get_barcode_class(type_of_coding)\n",
    "    my_barcode = barcode_format(data, writer=ImageWriter())\n",
    "    my_barcode.save(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0ae22a08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 960x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = 'Cremator'\n",
    "path = 'qr.png'\n",
    "qr_generator(data, path)\n",
    "\n",
    "img = Image.open(path)\n",
    "plt.figure(dpi=150)\n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.title(label=data, fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6e90b6f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = 'Cremator'\n",
    "path = 'qr_fast.png'\n",
    "qr_fast_generator(data, path)\n",
    "\n",
    "img = Image.open(path)\n",
    "plt.figure(dpi=150)\n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.title(label=data, fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8ad4b0ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = 'Cremator'\n",
    "path = 'bc'\n",
    "barcode_generator(data, 'code128', path)\n",
    "\n",
    "img = Image.open(f'{path}.png')\n",
    "plt.figure()\n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}