VGG_Data_extraction.ipynb

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   "source": [
    "# VGG annotations data extraction\n",
    "\n",
    "Here I present how to extract data from a json exported file that contains the positions of an object for object location.  \n",
    "  \n",
    "The tool is VGG annotator: http://www.robots.ox.ac.uk/~vgg/software/via/via.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
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   "execution_count": 3,
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   "outputs": [
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     "text": [
      "Pictures  VGG_Data_extraction.ipynb  via_region_data.json\r\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
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  {
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   "execution_count": 4,
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   "outputs": [],
   "source": [
    "cats_df = pd.read_json('via_region_data.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
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   "outputs": [],
   "source": [
    "cats_df = cats_df.transpose().reset_index()[['filename','regions']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
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   "source": [
    "data_list = []\n",
    "for row in range(cats_df.shape[0]):\n",
    "    data = cats_df['regions'][row]['0']['shape_attributes']\n",
    "    data_list.append(data)\n",
    "datadf = pd.DataFrame(data_list)\n",
    "cats_df = pd.concat([cats_df,datadf],1)[['filename','height','width','x','y']]"
   ]
  },
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