Amazing-Python-Scripts

1
{
2
  "nbformat": 4,
3
  "nbformat_minor": 0,
4
  "metadata": {
5
    "colab": {
6
      "provenance": []
7
    },
8
    "kernelspec": {
9
      "name": "python3",
10
      "display_name": "Python 3"
11
    },
12
    "language_info": {
13
      "name": "python"
14
    }
15
  },
16
  "cells": [
17
    {
18
      "cell_type": "code",
19
      "source": [],
20
      "metadata": {
21
        "id": "WxIDrhMMXq26"
22
      },
23
      "execution_count": null,
24
      "outputs": []
25
    },
26
    {
27
      "cell_type": "code",
28
      "source": [],
29
      "metadata": {
30
        "id": "Z1a10hWnYoLa"
31
      },
32
      "execution_count": null,
33
      "outputs": []
34
    },
35
    {
36
      "cell_type": "code",
37
      "source": [
38
        "import glob\n",
39
        "import cv2\n",
40
        "import pandas as pd\n",
41
        "import pathlib"
42
      ],
43
      "metadata": {
44
        "id": "C02b4jGfYoN3"
45
      },
46
      "execution_count": 9,
47
      "outputs": []
48
    },
49
    {
50
      "cell_type": "code",
51
      "source": [
52
        "def read_qr_code(filename):\n",
53
        "    \"\"\"Read an image and read the QR code.\n",
54
        "\n",
55
        "    Args:\n",
56
        "        filename (string): Path to file\n",
57
        "\n",
58
        "    Returns:\n",
59
        "        qr (string): Value from QR code\n",
60
        "    \"\"\"\n",
61
        "\n",
62
        "    try:\n",
63
        "        img = cv2.imread(filename)\n",
64
        "        detect = cv2.QRCodeDetector()\n",
65
        "        value, points, straight_qrcode = detect.detectAndDecode(img)\n",
66
        "        return value\n",
67
        "    except:\n",
68
        "        return"
69
      ],
70
      "metadata": {
71
        "id": "9WBkKxI_YoP7"
72
      },
73
      "execution_count": 10,
74
      "outputs": []
75
    },
76
    {
77
      "cell_type": "code",
78
      "source": [
79
        "value = read_qr_code('/content/drive/MyDrive/download.png')"
80
      ],
81
      "metadata": {
82
        "id": "WOwG1cGfYoSA"
83
      },
84
      "execution_count": 11,
85
      "outputs": []
86
    },
87
    {
88
      "cell_type": "code",
89
      "source": [
90
        "value"
91
      ],
92
      "metadata": {
93
        "colab": {
94
          "base_uri": "https://localhost:8080/",
95
          "height": 35
96
        },
97
        "id": "DSeW4gTTYoUU",
98
        "outputId": "6f300523-60fa-4cae-d708-83dad8354c23"
99
      },
100
      "execution_count": 12,
101
      "outputs": [
102
        {
103
          "output_type": "execute_result",
104
          "data": {
105
            "text/plain": [
106
              "'http://en.m.wikipedia.org'"
107
            ],
108
            "application/vnd.google.colaboratory.intrinsic+json": {
109
              "type": "string"
110
            }
111
          },
112
          "metadata": {},
113
          "execution_count": 12
114
        }
115
      ]
116
    }
117
  ]
118
}