{
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  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"0003.txt\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "0003.txt\t      jhucrowd_label.ipynb  p_if_deformable_bug.py\r\n",
      "ccnnv2_playground.py  p_batch.py\t    play_load_perspective_map.py\r\n",
      "__init__.py\t      p_can_adcrowdnet.py\r\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(path, sep=\" \", header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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     "execution_count": 9,
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    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = df.to_numpy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "array([[499, 347,   6,   7,   1,   0],\n",
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    "p"
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       "347"
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     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
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    "p[0,1]"
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   "metadata": {},
   "outputs": [
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      "text/plain": [
       "347"
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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