Car Plates Detection of Multiple Photos

CarPlates.ipynb

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    {
      "metadata": {
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      "cell_type": "code",
      "source": "import os\nimport subprocess as subp\nimport numpy as np\nimport pandas as pd",
      "execution_count": 5,
      "outputs": []
    },
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      "metadata": {
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      "source": "os.chdir(\"/Users/bernardo/Dropbox (ID)/CM Data Science/Car Photos\")\npath = (\"/Users/bernardo/Dropbox (ID)/CM Data Science/Car Photos/Images/Originals/\")\nfiles = [f for f in os.listdir(path) if f.endswith('.jpg')]\n\nresponse = []\nfor j in range(len(files)):\n    image = files[j]\n    x = subp.run([\"cd /Users/bernardo/Dropbox\\ \\(ID\\)/CM\\ Data\\ Science/Car\\ Photos/Images/Originals/; alpr \" + image], shell=True, check=True, stdout=subp.PIPE)\n    x = x.stdout.decode().split('- ')[1:6]\n    if len(x) > 0:\n        plates = []\n        for i in range(len(x)): \n            plates.append(x[i][0:6])\n        response.append((image, plates))\n    if j in np.arange(1, len(files), 200):\n        print(j)",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": "1\n201\n401\n601\n801\n1001\n1201\n1401\n1601\n1801\n2001\n2201\n2401\n2601\n2801\n3001\n3201\n3401\n3601\n3801\n4001\n4201\n4401\n4601\n4801\n5001\n5201\n5401\n5601\n5801\n6001\n6201\n6401\n6601\n6801\n7001\n7201\n7401\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df = pd.DataFrame(response, columns = ['file','plates'])\ndf[['plate1','plate2','plate3','plate4','plate5']] = pd.DataFrame(df.plates.values.tolist(), index= df.index)\ndf = df.drop('plates', 1)\ndf.to_csv(\"Data/files_plates.csv\")",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df.sample(10)",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 14,
          "data": {
            "text/plain": "                                                  file   plate1   plate2  \\\n736  mercedes-benz-a200-especial-con-interior-y-sil...   HSR6Z2   HSR622   \n564  nissan-march-2013-D_NQ_NP_749700-MCO2662402602...  JR964\\t   MJR964   \n693  ford-escape-D_NQ_NP_707049-MCO26924609514_0220...  HS045\\t  HSO45\\t   \n274  chevrolet-captiva-sport-36-awd-2010-todo-al-di...  REU37\\t   REU374   \n104  chevrolet-cruze-hb-D_NQ_NP_826438-MCO269191778...   HAS801   HAS8O1   \n602  renault-twingo-D_NQ_NP_788672-MCO26930480240_0...   BHL780   BHL78Q   \n420  chery-tiggo-D_NQ_NP_611777-MCO26936736111_0320...   JER840   JER84O   \n747  mazda-mazda-2-iyn034-D_NQ_NP_952434-MCO2692540...   IYN034   IYN0S4   \n218  hyundai-tucson-ix-35-D_NQ_NP_614944-MCO2664199...  RH868\\t   RHM868   \n796  chevrolet-optra-D_NQ_NP_609631-MCO26912616094_...   DAH317   QAH317   \n\n      plate3   plate4   plate5  \n736   HSR6ZZ   HSR62Z   H8R6Z2  \n564   HJR964  JR96\\t    NJR964  \n693  HS04S\\t  HSQ45\\t   HIS045  \n274  RE037\\t  REO37\\t  REQ37\\t  \n104   HAS80I   HAS8Q1   HAS8D1  \n602  BHL80\\t   BHL78O  BHL8Q\\t  \n420   JER84Q  JER80\\t   JER84D  \n747   IYNO34   IYNQ34   IYND34  \n218  RH86B\\t  RHB68\\t   RHN868  \n796   0AH317   OAH317   BAH317  ",
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