{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import qrcode\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img_bg = Image.open('data/src/lena.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "qr = qrcode.QRCode(box_size=2)\n",
    "qr.add_data('I am Lena')\n",
    "qr.make()\n",
    "img_qr = qr.make_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pos = (img_bg.size[0] - img_qr.size[0], img_bg.size[1] - img_qr.size[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img_bg.paste(img_qr, pos)\n",
    "img_bg.save('data/dst/qr_lena.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "face = Image.open('data/src/lena.jpg').crop((175, 90, 235, 150))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "qr_big = qrcode.QRCode(\n",
    "    error_correction=qrcode.constants.ERROR_CORRECT_H\n",
    ")\n",
    "qr_big.add_data('I am Lena')\n",
    "qr_big.make()\n",
    "img_qr_big = qr_big.make_image().convert('RGB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pos = ((img_qr_big.size[0] - face.size[0]) // 2, (img_qr_big.size[1] - face.size[1]) // 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_qr_big.paste(face, pos)\n",
    "img_qr_big.save('data/dst/qr_lena2.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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",
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