01_Pytesseract.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "227a6fbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import PIL\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pytesseract as tess\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import os\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "607080d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "img_cv2 = cv2.imread('./Selected/001.jpg', cv2.IMREAD_GRAYSCALE)\n",
    "\n",
    "cv2.imshow('Document', img_cv2)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "faa3adc0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Size of the original image : 653 x 977\n",
      "Aspect ratio of original image : 0.6683725690890481\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'plt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [13]\u001b[0m, in \u001b[0;36m<cell line: 5>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSize of the original image : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mimg_cv\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m x \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mimg_cv\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAspect ratio of original image : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mimg_cv\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m/\u001b[39m img_cv\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m----> 5\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOriginal\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      6\u001b[0m plt\u001b[38;5;241m.\u001b[39mimshow(img_cv)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined"
     ]
    }
   ],
   "source": [
    "img_cv = cv2.imread('./Selected/001.jpg')\n",
    "img_cv = cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB)\n",
    "print(f\"Size of the original image : {img_cv.shape[1]} x {img_cv.shape[0]}\")\n",
    "print(f\"Aspect ratio of original image : {img_cv.shape[1] / img_cv.shape[0]}\")\n",
    "plt.title(\"Original\")\n",
    "plt.imshow(img_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "91ae9263",
   "metadata": {},
   "outputs": [],
   "source": [
    "img_pl = PIL.Image.open('./Selected/001.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "912a996e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PIL.JpegImagePlugin.JpegImageFile"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(img_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "87ad9e7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(img_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bc621020",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=653x977 at 0x1C5B19FAD40>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img_pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e730c4e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "text_cv = pytesseract.image_to_string(img_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "45c1918e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cell Phone Repair Center\n",
      "\n",
      "Mobile Repair\n",
      "\n",
      "Thomas Atkins\n",
      "General Manager\n",
      "\n",
      "  \n",
      "\n",
      "Mobile: +91 908725526 Mail: thomasatkins@gmail.com\n",
      "+91 908725666 Website: www.abccompany.com\n",
      "ar es ripti aie\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "print(text_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "062f6a51",
   "metadata": {},
   "outputs": [],
   "source": [
    "text_pl = pytesseract.image_to_string(img_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "81dd172b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cell Phone Repair Center\n",
      "\n",
      "Mobile Repair\n",
      "Thomas Atkins\n",
      "General Manager\n",
      "\n",
      "Mobile: +91 908725526\n",
      "+91 908725666\n",
      "\n",
      "Gr\n",
      "\n",
      "   \n",
      "\n",
      " \n",
      "\n",
      "ia\n",
      "\n",
      " \n",
      "\n",
      "Mail: thomasatkins@gmail.com\n",
      "‘Website: www.abccompany.com\n",
      "\n",
      "Price\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "print(text_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "952abc87",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pytesseract.image_to_data(img_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "14bb282a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "level\tpage_num\tblock_num\tpar_num\tline_num\tword_num\tleft\ttop\twidth\theight\tconf\ttext\n",
      "1\t1\t0\t0\t0\t0\t0\t0\t653\t977\t-1\t\n",
      "2\t1\t1\t0\t0\t0\t42\t49\t549\t44\t-1\t\n",
      "3\t1\t1\t1\t0\t0\t42\t49\t549\t44\t-1\t\n",
      "4\t1\t1\t1\t1\t0\t42\t49\t549\t44\t-1\t\n",
      "5\t1\t1\t1\t1\t1\t42\t49\t81\t34\t93\tCell\n",
      "5\t1\t1\t1\t1\t2\t136\t49\t135\t34\t96\tPhone\n",
      "5\t1\t1\t1\t1\t3\t285\t49\t148\t44\t96\tRepair\n",
      "5\t1\t1\t1\t1\t4\t446\t50\t145\t33\t96\tCenter\n",
      "2\t1\t2\t0\t0\t0\t6\t129\t131\t79\t-1\t\n",
      "3\t1\t2\t1\t0\t0\t6\t129\t131\t79\t-1\t\n",
      "4\t1\t2\t1\t1\t0\t39\t129\t98\t14\t-1\t\n",
      "5\t1\t2\t1\t1\t1\t39\t129\t46\t11\t96\tMobile\n",
      "5\t1\t2\t1\t1\t2\t91\t129\t46\t14\t96\tRepair\n",
      "4\t1\t2\t1\t2\t0\t6\t179\t86\t10\t-1\t\n",
      "5\t1\t2\t1\t2\t1\t6\t179\t45\t10\t96\tThomas\n",
      "5\t1\t2\t1\t2\t2\t56\t179\t36\t10\t94\tAtkins\n",
      "4\t1\t2\t1\t3\t0\t7\t195\t98\t13\t-1\t\n",
      "5\t1\t2\t1\t3\t1\t7\t195\t43\t10\t95\tGeneral\n",
      "5\t1\t2\t1\t3\t2\t56\t195\t49\t13\t95\tManager\n",
      "2\t1\t3\t0\t0\t0\t127\t227\t161\t26\t-1\t\n",
      "3\t1\t3\t1\t0\t0\t127\t227\t161\t26\t-1\t\n",
      "4\t1\t3\t1\t1\t0\t127\t227\t161\t10\t-1\t\n",
      "5\t1\t3\t1\t1\t1\t127\t227\t36\t10\t87\tMobile:\n",
      "5\t1\t3\t1\t1\t2\t201\t227\t19\t10\t47\t+91\n",
      "5\t1\t3\t1\t1\t3\t227\t227\t61\t10\t80\t908725526\n",
      "4\t1\t3\t1\t2\t0\t201\t243\t87\t10\t-1\t\n",
      "5\t1\t3\t1\t2\t1\t201\t243\t19\t10\t71\t+91\n",
      "5\t1\t3\t1\t2\t2\t227\t243\t61\t10\t85\t908725666\n",
      "2\t1\t4\t0\t0\t0\t34\t277\t29\t11\t-1\t\n",
      "3\t1\t4\t1\t0\t0\t34\t277\t29\t11\t-1\t\n",
      "4\t1\t4\t1\t1\t0\t34\t277\t29\t11\t-1\t\n",
      "5\t1\t4\t1\t1\t1\t34\t277\t29\t11\t36\tGr\n",
      "2\t1\t5\t0\t0\t0\t69\t273\t185\t19\t-1\t\n",
      "3\t1\t5\t1\t0\t0\t69\t273\t185\t19\t-1\t\n",
      "4\t1\t5\t1\t1\t0\t69\t273\t185\t19\t-1\t\n",
      "5\t1\t5\t1\t1\t1\t69\t274\t19\t18\t95\t \n",
      "5\t1\t5\t1\t1\t2\t197\t273\t57\t19\t95\t \n",
      "2\t1\t6\t0\t0\t0\t369\t277\t33\t11\t-1\t\n",
      "3\t1\t6\t1\t0\t0\t369\t277\t33\t11\t-1\t\n",
      "4\t1\t6\t1\t1\t0\t369\t277\t33\t11\t-1\t\n",
      "5\t1\t6\t1\t1\t1\t369\t277\t33\t11\t95\t \n",
      "2\t1\t7\t0\t0\t0\t404\t278\t21\t13\t-1\t\n",
      "3\t1\t7\t1\t0\t0\t404\t278\t21\t13\t-1\t\n",
      "4\t1\t7\t1\t1\t0\t404\t278\t21\t13\t-1\t\n",
      "5\t1\t7\t1\t1\t1\t404\t278\t21\t13\t43\tia\n",
      "2\t1\t8\t0\t0\t0\t427\t280\t6\t8\t-1\t\n",
      "3\t1\t8\t1\t0\t0\t427\t280\t6\t8\t-1\t\n",
      "4\t1\t8\t1\t1\t0\t427\t280\t6\t8\t-1\t\n",
      "5\t1\t8\t1\t1\t1\t427\t280\t6\t8\t95\t \n",
      "2\t1\t9\t0\t0\t0\t433\t228\t207\t29\t-1\t\n",
      "3\t1\t9\t1\t0\t0\t433\t228\t207\t29\t-1\t\n",
      "4\t1\t9\t1\t1\t0\t458\t228\t182\t13\t-1\t\n",
      "5\t1\t9\t1\t1\t1\t458\t228\t22\t10\t93\tMail:\n",
      "5\t1\t9\t1\t1\t2\t490\t228\t150\t13\t78\tthomasatkins@gmail.com\n",
      "4\t1\t9\t1\t2\t0\t433\t243\t190\t14\t-1\t\n",
      "5\t1\t9\t1\t2\t1\t433\t243\t47\t10\t68\t‘Website:\n",
      "5\t1\t9\t1\t2\t2\t490\t244\t133\t13\t37\twww.abccompany.com\n",
      "2\t1\t10\t0\t0\t0\t553\t277\t32\t11\t-1\t\n",
      "3\t1\t10\t1\t0\t0\t553\t277\t32\t11\t-1\t\n",
      "4\t1\t10\t1\t1\t0\t553\t277\t32\t11\t-1\t\n",
      "5\t1\t10\t1\t1\t1\t553\t277\t32\t11\t94\tPrice\n",
      "2\t1\t11\t0\t0\t0\t3\t314\t648\t1\t-1\t\n",
      "3\t1\t11\t1\t0\t0\t3\t314\t648\t1\t-1\t\n",
      "4\t1\t11\t1\t1\t0\t3\t314\t648\t1\t-1\t\n",
      "5\t1\t11\t1\t1\t1\t3\t314\t648\t1\t95\t \n",
      "2\t1\t12\t0\t0\t0\t3\t336\t648\t1\t-1\t\n",
      "3\t1\t12\t1\t0\t0\t3\t336\t648\t1\t-1\t\n",
      "4\t1\t12\t1\t1\t0\t3\t336\t648\t1\t-1\t\n",
      "5\t1\t12\t1\t1\t1\t3\t336\t648\t1\t95\t \n",
      "2\t1\t13\t0\t0\t0\t3\t358\t648\t1\t-1\t\n",
      "3\t1\t13\t1\t0\t0\t3\t358\t648\t1\t-1\t\n",
      "4\t1\t13\t1\t1\t0\t3\t358\t648\t1\t-1\t\n",
      "5\t1\t13\t1\t1\t1\t3\t358\t648\t1\t95\t \n",
      "2\t1\t14\t0\t0\t0\t3\t380\t648\t1\t-1\t\n",
      "3\t1\t14\t1\t0\t0\t3\t380\t648\t1\t-1\t\n",
      "4\t1\t14\t1\t1\t0\t3\t380\t648\t1\t-1\t\n",
      "5\t1\t14\t1\t1\t1\t3\t380\t648\t1\t95\t \n",
      "2\t1\t15\t0\t0\t0\t3\t402\t648\t1\t-1\t\n",
      "3\t1\t15\t1\t0\t0\t3\t402\t648\t1\t-1\t\n",
      "4\t1\t15\t1\t1\t0\t3\t402\t648\t1\t-1\t\n",
      "5\t1\t15\t1\t1\t1\t3\t402\t648\t1\t95\t \n",
      "2\t1\t16\t0\t0\t0\t3\t424\t648\t1\t-1\t\n",
      "3\t1\t16\t1\t0\t0\t3\t424\t648\t1\t-1\t\n",
      "4\t1\t16\t1\t1\t0\t3\t424\t648\t1\t-1\t\n",
      "5\t1\t16\t1\t1\t1\t3\t424\t648\t1\t95\t \n",
      "2\t1\t17\t0\t0\t0\t3\t446\t648\t1\t-1\t\n",
      "3\t1\t17\t1\t0\t0\t3\t446\t648\t1\t-1\t\n",
      "4\t1\t17\t1\t1\t0\t3\t446\t648\t1\t-1\t\n",
      "5\t1\t17\t1\t1\t1\t3\t446\t648\t1\t95\t \n",
      "2\t1\t18\t0\t0\t0\t3\t468\t648\t1\t-1\t\n",
      "3\t1\t18\t1\t0\t0\t3\t468\t648\t1\t-1\t\n",
      "4\t1\t18\t1\t1\t0\t3\t468\t648\t1\t-1\t\n",
      "5\t1\t18\t1\t1\t1\t3\t468\t648\t1\t95\t \n",
      "2\t1\t19\t0\t0\t0\t3\t490\t648\t1\t-1\t\n",
      "3\t1\t19\t1\t0\t0\t3\t490\t648\t1\t-1\t\n",
      "4\t1\t19\t1\t1\t0\t3\t490\t648\t1\t-1\t\n",
      "5\t1\t19\t1\t1\t1\t3\t490\t648\t1\t95\t \n",
      "2\t1\t20\t0\t0\t0\t3\t512\t648\t1\t-1\t\n",
      "3\t1\t20\t1\t0\t0\t3\t512\t648\t1\t-1\t\n",
      "4\t1\t20\t1\t1\t0\t3\t512\t648\t1\t-1\t\n",
      "5\t1\t20\t1\t1\t1\t3\t512\t648\t1\t95\t \n",
      "2\t1\t21\t0\t0\t0\t3\t534\t648\t1\t-1\t\n",
      "3\t1\t21\t1\t0\t0\t3\t534\t648\t1\t-1\t\n",
      "4\t1\t21\t1\t1\t0\t3\t534\t648\t1\t-1\t\n",
      "5\t1\t21\t1\t1\t1\t3\t534\t648\t1\t95\t \n",
      "2\t1\t22\t0\t0\t0\t3\t556\t648\t1\t-1\t\n",
      "3\t1\t22\t1\t0\t0\t3\t556\t648\t1\t-1\t\n",
      "4\t1\t22\t1\t1\t0\t3\t556\t648\t1\t-1\t\n",
      "5\t1\t22\t1\t1\t1\t3\t556\t648\t1\t95\t \n",
      "2\t1\t23\t0\t0\t0\t3\t578\t648\t1\t-1\t\n",
      "3\t1\t23\t1\t0\t0\t3\t578\t648\t1\t-1\t\n",
      "4\t1\t23\t1\t1\t0\t3\t578\t648\t1\t-1\t\n",
      "5\t1\t23\t1\t1\t1\t3\t578\t648\t1\t95\t \n",
      "2\t1\t24\t0\t0\t0\t3\t600\t648\t1\t-1\t\n",
      "3\t1\t24\t1\t0\t0\t3\t600\t648\t1\t-1\t\n",
      "4\t1\t24\t1\t1\t0\t3\t600\t648\t1\t-1\t\n",
      "5\t1\t24\t1\t1\t1\t3\t600\t648\t1\t95\t \n",
      "2\t1\t25\t0\t0\t0\t3\t622\t648\t1\t-1\t\n",
      "3\t1\t25\t1\t0\t0\t3\t622\t648\t1\t-1\t\n",
      "4\t1\t25\t1\t1\t0\t3\t622\t648\t1\t-1\t\n",
      "5\t1\t25\t1\t1\t1\t3\t622\t648\t1\t95\t \n",
      "2\t1\t26\t0\t0\t0\t3\t644\t648\t1\t-1\t\n",
      "3\t1\t26\t1\t0\t0\t3\t644\t648\t1\t-1\t\n",
      "4\t1\t26\t1\t1\t0\t3\t644\t648\t1\t-1\t\n",
      "5\t1\t26\t1\t1\t1\t3\t644\t648\t1\t95\t \n",
      "2\t1\t27\t0\t0\t0\t3\t666\t648\t1\t-1\t\n",
      "3\t1\t27\t1\t0\t0\t3\t666\t648\t1\t-1\t\n",
      "4\t1\t27\t1\t1\t0\t3\t666\t648\t1\t-1\t\n",
      "5\t1\t27\t1\t1\t1\t3\t666\t648\t1\t95\t \n",
      "2\t1\t28\t0\t0\t0\t3\t688\t648\t1\t-1\t\n",
      "3\t1\t28\t1\t0\t0\t3\t688\t648\t1\t-1\t\n",
      "4\t1\t28\t1\t1\t0\t3\t688\t648\t1\t-1\t\n",
      "5\t1\t28\t1\t1\t1\t3\t688\t648\t1\t95\t \n",
      "2\t1\t29\t0\t0\t0\t3\t710\t648\t1\t-1\t\n",
      "3\t1\t29\t1\t0\t0\t3\t710\t648\t1\t-1\t\n",
      "4\t1\t29\t1\t1\t0\t3\t710\t648\t1\t-1\t\n",
      "5\t1\t29\t1\t1\t1\t3\t710\t648\t1\t95\t \n",
      "2\t1\t30\t0\t0\t0\t3\t732\t648\t1\t-1\t\n",
      "3\t1\t30\t1\t0\t0\t3\t732\t648\t1\t-1\t\n",
      "4\t1\t30\t1\t1\t0\t3\t732\t648\t1\t-1\t\n",
      "5\t1\t30\t1\t1\t1\t3\t732\t648\t1\t95\t \n",
      "2\t1\t31\t0\t0\t0\t3\t754\t648\t1\t-1\t\n",
      "3\t1\t31\t1\t0\t0\t3\t754\t648\t1\t-1\t\n",
      "4\t1\t31\t1\t1\t0\t3\t754\t648\t1\t-1\t\n",
      "5\t1\t31\t1\t1\t1\t3\t754\t648\t1\t95\t \n",
      "2\t1\t32\t0\t0\t0\t3\t776\t648\t1\t-1\t\n",
      "3\t1\t32\t1\t0\t0\t3\t776\t648\t1\t-1\t\n",
      "4\t1\t32\t1\t1\t0\t3\t776\t648\t1\t-1\t\n",
      "5\t1\t32\t1\t1\t1\t3\t776\t648\t1\t95\t \n",
      "2\t1\t33\t0\t0\t0\t3\t798\t648\t1\t-1\t\n",
      "3\t1\t33\t1\t0\t0\t3\t798\t648\t1\t-1\t\n",
      "4\t1\t33\t1\t1\t0\t3\t798\t648\t1\t-1\t\n",
      "5\t1\t33\t1\t1\t1\t3\t798\t648\t1\t95\t \n",
      "2\t1\t34\t0\t0\t0\t3\t820\t648\t1\t-1\t\n",
      "3\t1\t34\t1\t0\t0\t3\t820\t648\t1\t-1\t\n",
      "4\t1\t34\t1\t1\t0\t3\t820\t648\t1\t-1\t\n",
      "5\t1\t34\t1\t1\t1\t3\t820\t648\t1\t95\t \n",
      "2\t1\t35\t0\t0\t0\t3\t842\t648\t1\t-1\t\n",
      "3\t1\t35\t1\t0\t0\t3\t842\t648\t1\t-1\t\n",
      "4\t1\t35\t1\t1\t0\t3\t842\t648\t1\t-1\t\n",
      "5\t1\t35\t1\t1\t1\t3\t842\t648\t1\t95\t \n",
      "2\t1\t36\t0\t0\t0\t3\t864\t648\t1\t-1\t\n",
      "3\t1\t36\t1\t0\t0\t3\t864\t648\t1\t-1\t\n",
      "4\t1\t36\t1\t1\t0\t3\t864\t648\t1\t-1\t\n",
      "5\t1\t36\t1\t1\t1\t3\t864\t648\t1\t95\t \n",
      "2\t1\t37\t0\t0\t0\t3\t886\t648\t1\t-1\t\n",
      "3\t1\t37\t1\t0\t0\t3\t886\t648\t1\t-1\t\n",
      "4\t1\t37\t1\t1\t0\t3\t886\t648\t1\t-1\t\n",
      "5\t1\t37\t1\t1\t1\t3\t886\t648\t1\t95\t \n",
      "2\t1\t38\t0\t0\t0\t3\t908\t648\t1\t-1\t\n",
      "3\t1\t38\t1\t0\t0\t3\t908\t648\t1\t-1\t\n",
      "4\t1\t38\t1\t1\t0\t3\t908\t648\t1\t-1\t\n",
      "5\t1\t38\t1\t1\t1\t3\t908\t648\t1\t95\t \n",
      "2\t1\t39\t0\t0\t0\t3\t930\t648\t1\t-1\t\n",
      "3\t1\t39\t1\t0\t0\t3\t930\t648\t1\t-1\t\n",
      "4\t1\t39\t1\t1\t0\t3\t930\t648\t1\t-1\t\n",
      "5\t1\t39\t1\t1\t1\t3\t930\t648\t1\t95\t \n",
      "2\t1\t40\t0\t0\t0\t3\t952\t648\t1\t-1\t\n",
      "3\t1\t40\t1\t0\t0\t3\t952\t648\t1\t-1\t\n",
      "4\t1\t40\t1\t1\t0\t3\t952\t648\t1\t-1\t\n",
      "5\t1\t40\t1\t1\t1\t3\t952\t648\t1\t95\t \n",
      "2\t1\t41\t0\t0\t0\t3\t292\t1\t683\t-1\t\n",
      "3\t1\t41\t1\t0\t0\t3\t292\t1\t683\t-1\t\n",
      "4\t1\t41\t1\t1\t0\t3\t292\t1\t683\t-1\t\n",
      "5\t1\t41\t1\t1\t1\t3\t292\t1\t683\t95\t \n",
      "2\t1\t42\t0\t0\t0\t170\t292\t1\t683\t-1\t\n",
      "3\t1\t42\t1\t0\t0\t170\t292\t1\t683\t-1\t\n",
      "4\t1\t42\t1\t1\t0\t170\t292\t1\t683\t-1\t\n",
      "5\t1\t42\t1\t1\t1\t170\t292\t1\t683\t95\t \n",
      "2\t1\t43\t0\t0\t0\t338\t292\t1\t683\t-1\t\n",
      "3\t1\t43\t1\t0\t0\t338\t292\t1\t683\t-1\t\n",
      "4\t1\t43\t1\t1\t0\t338\t292\t1\t683\t-1\t\n",
      "5\t1\t43\t1\t1\t1\t338\t292\t1\t683\t95\t \n",
      "2\t1\t44\t0\t0\t0\t487\t292\t1\t683\t-1\t\n",
      "3\t1\t44\t1\t0\t0\t487\t292\t1\t683\t-1\t\n",
      "4\t1\t44\t1\t1\t0\t487\t292\t1\t683\t-1\t\n",
      "5\t1\t44\t1\t1\t1\t487\t292\t1\t683\t95\t \n",
      "2\t1\t45\t0\t0\t0\t3\t974\t648\t1\t-1\t\n",
      "3\t1\t45\t1\t0\t0\t3\t974\t648\t1\t-1\t\n",
      "4\t1\t45\t1\t1\t0\t3\t974\t648\t1\t-1\t\n",
      "5\t1\t45\t1\t1\t1\t3\t974\t648\t1\t95\t \n",
      "2\t1\t46\t0\t0\t0\t650\t292\t1\t683\t-1\t\n",
      "3\t1\t46\t1\t0\t0\t650\t292\t1\t683\t-1\t\n",
      "4\t1\t46\t1\t1\t0\t650\t292\t1\t683\t-1\t\n",
      "5\t1\t46\t1\t1\t1\t650\t292\t1\t683\t95\t \n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ce54ca13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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\\n2\\t1\\t32\\t0\\t0\\t0\\t3\\t776\\t648\\t1\\t-1\\t\\n3\\t1\\t32\\t1\\t0\\t0\\t3\\t776\\t648\\t1\\t-1\\t\\n4\\t1\\t32\\t1\\t1\\t0\\t3\\t776\\t648\\t1\\t-1\\t\\n5\\t1\\t32\\t1\\t1\\t1\\t3\\t776\\t648\\t1\\t95\\t \\n2\\t1\\t33\\t0\\t0\\t0\\t3\\t798\\t648\\t1\\t-1\\t\\n3\\t1\\t33\\t1\\t0\\t0\\t3\\t798\\t648\\t1\\t-1\\t\\n4\\t1\\t33\\t1\\t1\\t0\\t3\\t798\\t648\\t1\\t-1\\t\\n5\\t1\\t33\\t1\\t1\\t1\\t3\\t798\\t648\\t1\\t95\\t \\n2\\t1\\t34\\t0\\t0\\t0\\t3\\t820\\t648\\t1\\t-1\\t\\n3\\t1\\t34\\t1\\t0\\t0\\t3\\t820\\t648\\t1\\t-1\\t\\n4\\t1\\t34\\t1\\t1\\t0\\t3\\t820\\t648\\t1\\t-1\\t\\n5\\t1\\t34\\t1\\t1\\t1\\t3\\t820\\t648\\t1\\t95\\t \\n2\\t1\\t35\\t0\\t0\\t0\\t3\\t842\\t648\\t1\\t-1\\t\\n3\\t1\\t35\\t1\\t0\\t0\\t3\\t842\\t648\\t1\\t-1\\t\\n4\\t1\\t35\\t1\\t1\\t0\\t3\\t842\\t648\\t1\\t-1\\t\\n5\\t1\\t35\\t1\\t1\\t1\\t3\\t842\\t648\\t1\\t95\\t \\n2\\t1\\t36\\t0\\t0\\t0\\t3\\t864\\t648\\t1\\t-1\\t\\n3\\t1\\t36\\t1\\t0\\t0\\t3\\t864\\t648\\t1\\t-1\\t\\n4\\t1\\t36\\t1\\t1\\t0\\t3\\t864\\t648\\t1\\t-1\\t\\n5\\t1\\t36\\t1\\t1\\t1\\t3\\t864\\t648\\t1\\t95\\t \\n2\\t1\\t37\\t0\\t0\\t0\\t3\\t886\\t648\\t1\\t-1\\t\\n3\\t1\\t37\\t1\\t0\\t0\\t3\\t886\\t648\\t1\\t-1\\t\\n4\\t1\\t37\\t1\\t1\\t0\\t3\\t886\\t648\\t1\\t-1\\t\\n5\\t1\\t37\\t1\\t1\\t1\\t3\\t886\\t648\\t1\\t95\\t \\n2\\t1\\t38\\t0\\t0\\t0\\t3\\t908\\t648\\t1\\t-1\\t\\n3\\t1\\t38\\t1\\t0\\t0\\t3\\t908\\t648\\t1\\t-1\\t\\n4\\t1\\t38\\t1\\t1\\t0\\t3\\t908\\t648\\t1\\t-1\\t\\n5\\t1\\t38\\t1\\t1\\t1\\t3\\t908\\t648\\t1\\t95\\t \\n2\\t1\\t39\\t0\\t0\\t0\\t3\\t930\\t648\\t1\\t-1\\t\\n3\\t1\\t39\\t1\\t0\\t0\\t3\\t930\\t648\\t1\\t-1\\t\\n4\\t1\\t39\\t1\\t1\\t0\\t3\\t930\\t648\\t1\\t-1\\t\\n5\\t1\\t39\\t1\\t1\\t1\\t3\\t930\\t648\\t1\\t95\\t \\n2\\t1\\t40\\t0\\t0\\t0\\t3\\t952\\t648\\t1\\t-1\\t\\n3\\t1\\t40\\t1\\t0\\t0\\t3\\t952\\t648\\t1\\t-1\\t\\n4\\t1\\t40\\t1\\t1\\t0\\t3\\t952\\t648\\t1\\t-1\\t\\n5\\t1\\t40\\t1\\t1\\t1\\t3\\t952\\t648\\t1\\t95\\t \\n2\\t1\\t41\\t0\\t0\\t0\\t3\\t292\\t1\\t683\\t-1\\t\\n3\\t1\\t41\\t1\\t0\\t0\\t3\\t292\\t1\\t683\\t-1\\t\\n4\\t1\\t41\\t1\\t1\\t0\\t3\\t292\\t1\\t683\\t-1\\t\\n5\\t1\\t41\\t1\\t1\\t1\\t3\\t292\\t1\\t683\\t95\\t \\n2\\t1\\t42\\t0\\t0\\t0\\t170\\t292\\t1\\t683\\t-1\\t\\n3\\t1\\t42\\t1\\t0\\t0\\t170\\t292\\t1\\t683\\t-1\\t\\n4\\t1\\t42\\t1\\t1\\t0\\t170\\t292\\t1\\t683\\t-1\\t\\n5\\t1\\t42\\t1\\t1\\t1\\t170\\t292\\t1\\t683\\t95\\t \\n2\\t1\\t43\\t0\\t0\\t0\\t338\\t292\\t1\\t683\\t-1\\t\\n3\\t1\\t43\\t1\\t0\\t0\\t338\\t292\\t1\\t683\\t-1\\t\\n4\\t1\\t43\\t1\\t1\\t0\\t338\\t292\\t1\\t683\\t-1\\t\\n5\\t1\\t43\\t1\\t1\\t1\\t338\\t292\\t1\\t683\\t95\\t \\n2\\t1\\t44\\t0\\t0\\t0\\t487\\t292\\t1\\t683\\t-1\\t\\n3\\t1\\t44\\t1\\t0\\t0\\t487\\t292\\t1\\t683\\t-1\\t\\n4\\t1\\t44\\t1\\t1\\t0\\t487\\t292\\t1\\t683\\t-1\\t\\n5\\t1\\t44\\t1\\t1\\t1\\t487\\t292\\t1\\t683\\t95\\t \\n2\\t1\\t45\\t0\\t0\\t0\\t3\\t974\\t648\\t1\\t-1\\t\\n3\\t1\\t45\\t1\\t0\\t0\\t3\\t974\\t648\\t1\\t-1\\t\\n4\\t1\\t45\\t1\\t1\\t0\\t3\\t974\\t648\\t1\\t-1\\t\\n5\\t1\\t45\\t1\\t1\\t1\\t3\\t974\\t648\\t1\\t95\\t \\n2\\t1\\t46\\t0\\t0\\t0\\t650\\t292\\t1\\t683\\t-1\\t\\n3\\t1\\t46\\t1\\t0\\t0\\t650\\t292\\t1\\t683\\t-1\\t\\n4\\t1\\t46\\t1\\t1\\t0\\t650\\t292\\t1\\t683\\t-1\\t\\n5\\t1\\t46\\t1\\t1\\t1\\t650\\t292\\t1\\t683\\t95\\t \\n'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bbac6240",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['level\\tpage_num\\tblock_num\\tpar_num\\tline_num\\tword_num\\tleft\\ttop\\twidth\\theight\\tconf\\ttext',\n",
       " '1\\t1\\t0\\t0\\t0\\t0\\t0\\t0\\t653\\t977\\t-1\\t',\n",
       " '2\\t1\\t1\\t0\\t0\\t0\\t42\\t49\\t549\\t44\\t-1\\t',\n",
       " '3\\t1\\t1\\t1\\t0\\t0\\t42\\t49\\t549\\t44\\t-1\\t',\n",
       " '4\\t1\\t1\\t1\\t1\\t0\\t42\\t49\\t549\\t44\\t-1\\t',\n",
       " '5\\t1\\t1\\t1\\t1\\t1\\t42\\t49\\t81\\t34\\t93\\tCell',\n",
       " '5\\t1\\t1\\t1\\t1\\t2\\t136\\t49\\t135\\t34\\t96\\tPhone',\n",
       " '5\\t1\\t1\\t1\\t1\\t3\\t285\\t49\\t148\\t44\\t96\\tRepair',\n",
       " '5\\t1\\t1\\t1\\t1\\t4\\t446\\t50\\t145\\t33\\t96\\tCenter',\n",
       " '2\\t1\\t2\\t0\\t0\\t0\\t6\\t129\\t131\\t79\\t-1\\t',\n",
       " '3\\t1\\t2\\t1\\t0\\t0\\t6\\t129\\t131\\t79\\t-1\\t',\n",
       " '4\\t1\\t2\\t1\\t1\\t0\\t39\\t129\\t98\\t14\\t-1\\t',\n",
       " '5\\t1\\t2\\t1\\t1\\t1\\t39\\t129\\t46\\t11\\t96\\tMobile',\n",
       " '5\\t1\\t2\\t1\\t1\\t2\\t91\\t129\\t46\\t14\\t96\\tRepair',\n",
       " '4\\t1\\t2\\t1\\t2\\t0\\t6\\t179\\t86\\t10\\t-1\\t',\n",
       " '5\\t1\\t2\\t1\\t2\\t1\\t6\\t179\\t45\\t10\\t96\\tThomas',\n",
       " '5\\t1\\t2\\t1\\t2\\t2\\t56\\t179\\t36\\t10\\t94\\tAtkins',\n",
       " '4\\t1\\t2\\t1\\t3\\t0\\t7\\t195\\t98\\t13\\t-1\\t',\n",
       " '5\\t1\\t2\\t1\\t3\\t1\\t7\\t195\\t43\\t10\\t95\\tGeneral',\n",
       " '5\\t1\\t2\\t1\\t3\\t2\\t56\\t195\\t49\\t13\\t95\\tManager',\n",
       " '2\\t1\\t3\\t0\\t0\\t0\\t127\\t227\\t161\\t26\\t-1\\t',\n",
       " '3\\t1\\t3\\t1\\t0\\t0\\t127\\t227\\t161\\t26\\t-1\\t',\n",
       " '4\\t1\\t3\\t1\\t1\\t0\\t127\\t227\\t161\\t10\\t-1\\t',\n",
       " '5\\t1\\t3\\t1\\t1\\t1\\t127\\t227\\t36\\t10\\t87\\tMobile:',\n",
       " '5\\t1\\t3\\t1\\t1\\t2\\t201\\t227\\t19\\t10\\t47\\t+91',\n",
       " '5\\t1\\t3\\t1\\t1\\t3\\t227\\t227\\t61\\t10\\t80\\t908725526',\n",
       " '4\\t1\\t3\\t1\\t2\\t0\\t201\\t243\\t87\\t10\\t-1\\t',\n",
       " '5\\t1\\t3\\t1\\t2\\t1\\t201\\t243\\t19\\t10\\t71\\t+91',\n",
       " '5\\t1\\t3\\t1\\t2\\t2\\t227\\t243\\t61\\t10\\t85\\t908725666',\n",
       " '2\\t1\\t4\\t0\\t0\\t0\\t34\\t277\\t29\\t11\\t-1\\t',\n",
       " '3\\t1\\t4\\t1\\t0\\t0\\t34\\t277\\t29\\t11\\t-1\\t',\n",
       " '4\\t1\\t4\\t1\\t1\\t0\\t34\\t277\\t29\\t11\\t-1\\t',\n",
       " '5\\t1\\t4\\t1\\t1\\t1\\t34\\t277\\t29\\t11\\t36\\tGr',\n",
       " '2\\t1\\t5\\t0\\t0\\t0\\t69\\t273\\t185\\t19\\t-1\\t',\n",
       " '3\\t1\\t5\\t1\\t0\\t0\\t69\\t273\\t185\\t19\\t-1\\t',\n",
       " '4\\t1\\t5\\t1\\t1\\t0\\t69\\t273\\t185\\t19\\t-1\\t',\n",
       " '5\\t1\\t5\\t1\\t1\\t1\\t69\\t274\\t19\\t18\\t95\\t ',\n",
       " '5\\t1\\t5\\t1\\t1\\t2\\t197\\t273\\t57\\t19\\t95\\t ',\n",
       " '2\\t1\\t6\\t0\\t0\\t0\\t369\\t277\\t33\\t11\\t-1\\t',\n",
       " '3\\t1\\t6\\t1\\t0\\t0\\t369\\t277\\t33\\t11\\t-1\\t',\n",
       " '4\\t1\\t6\\t1\\t1\\t0\\t369\\t277\\t33\\t11\\t-1\\t',\n",
       " '5\\t1\\t6\\t1\\t1\\t1\\t369\\t277\\t33\\t11\\t95\\t ',\n",
       " '2\\t1\\t7\\t0\\t0\\t0\\t404\\t278\\t21\\t13\\t-1\\t',\n",
       " '3\\t1\\t7\\t1\\t0\\t0\\t404\\t278\\t21\\t13\\t-1\\t',\n",
       " '4\\t1\\t7\\t1\\t1\\t0\\t404\\t278\\t21\\t13\\t-1\\t',\n",
       " '5\\t1\\t7\\t1\\t1\\t1\\t404\\t278\\t21\\t13\\t43\\tia',\n",
       " '2\\t1\\t8\\t0\\t0\\t0\\t427\\t280\\t6\\t8\\t-1\\t',\n",
       " '3\\t1\\t8\\t1\\t0\\t0\\t427\\t280\\t6\\t8\\t-1\\t',\n",
       " '4\\t1\\t8\\t1\\t1\\t0\\t427\\t280\\t6\\t8\\t-1\\t',\n",
       " '5\\t1\\t8\\t1\\t1\\t1\\t427\\t280\\t6\\t8\\t95\\t ',\n",
       " '2\\t1\\t9\\t0\\t0\\t0\\t433\\t228\\t207\\t29\\t-1\\t',\n",
       " '3\\t1\\t9\\t1\\t0\\t0\\t433\\t228\\t207\\t29\\t-1\\t',\n",
       " '4\\t1\\t9\\t1\\t1\\t0\\t458\\t228\\t182\\t13\\t-1\\t',\n",
       " '5\\t1\\t9\\t1\\t1\\t1\\t458\\t228\\t22\\t10\\t93\\tMail:',\n",
       " '5\\t1\\t9\\t1\\t1\\t2\\t490\\t228\\t150\\t13\\t78\\tthomasatkins@gmail.com',\n",
       " '4\\t1\\t9\\t1\\t2\\t0\\t433\\t243\\t190\\t14\\t-1\\t',\n",
       " '5\\t1\\t9\\t1\\t2\\t1\\t433\\t243\\t47\\t10\\t68\\t‘Website:',\n",
       " '5\\t1\\t9\\t1\\t2\\t2\\t490\\t244\\t133\\t13\\t37\\twww.abccompany.com',\n",
       " '2\\t1\\t10\\t0\\t0\\t0\\t553\\t277\\t32\\t11\\t-1\\t',\n",
       " '3\\t1\\t10\\t1\\t0\\t0\\t553\\t277\\t32\\t11\\t-1\\t',\n",
       " '4\\t1\\t10\\t1\\t1\\t0\\t553\\t277\\t32\\t11\\t-1\\t',\n",
       " '5\\t1\\t10\\t1\\t1\\t1\\t553\\t277\\t32\\t11\\t94\\tPrice',\n",
       " '2\\t1\\t11\\t0\\t0\\t0\\t3\\t314\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t11\\t1\\t0\\t0\\t3\\t314\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t11\\t1\\t1\\t0\\t3\\t314\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t11\\t1\\t1\\t1\\t3\\t314\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t12\\t0\\t0\\t0\\t3\\t336\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t12\\t1\\t0\\t0\\t3\\t336\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t12\\t1\\t1\\t0\\t3\\t336\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t12\\t1\\t1\\t1\\t3\\t336\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t13\\t0\\t0\\t0\\t3\\t358\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t13\\t1\\t0\\t0\\t3\\t358\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t13\\t1\\t1\\t0\\t3\\t358\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t13\\t1\\t1\\t1\\t3\\t358\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t14\\t0\\t0\\t0\\t3\\t380\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t14\\t1\\t0\\t0\\t3\\t380\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t14\\t1\\t1\\t0\\t3\\t380\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t14\\t1\\t1\\t1\\t3\\t380\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t15\\t0\\t0\\t0\\t3\\t402\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t15\\t1\\t0\\t0\\t3\\t402\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t15\\t1\\t1\\t0\\t3\\t402\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t15\\t1\\t1\\t1\\t3\\t402\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t16\\t0\\t0\\t0\\t3\\t424\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t16\\t1\\t0\\t0\\t3\\t424\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t16\\t1\\t1\\t0\\t3\\t424\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t16\\t1\\t1\\t1\\t3\\t424\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t17\\t0\\t0\\t0\\t3\\t446\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t17\\t1\\t0\\t0\\t3\\t446\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t17\\t1\\t1\\t0\\t3\\t446\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t17\\t1\\t1\\t1\\t3\\t446\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t18\\t0\\t0\\t0\\t3\\t468\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t18\\t1\\t0\\t0\\t3\\t468\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t18\\t1\\t1\\t0\\t3\\t468\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t18\\t1\\t1\\t1\\t3\\t468\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t19\\t0\\t0\\t0\\t3\\t490\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t19\\t1\\t0\\t0\\t3\\t490\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t19\\t1\\t1\\t0\\t3\\t490\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t19\\t1\\t1\\t1\\t3\\t490\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t20\\t0\\t0\\t0\\t3\\t512\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t20\\t1\\t0\\t0\\t3\\t512\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t20\\t1\\t1\\t0\\t3\\t512\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t20\\t1\\t1\\t1\\t3\\t512\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t21\\t0\\t0\\t0\\t3\\t534\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t21\\t1\\t0\\t0\\t3\\t534\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t21\\t1\\t1\\t0\\t3\\t534\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t21\\t1\\t1\\t1\\t3\\t534\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t22\\t0\\t0\\t0\\t3\\t556\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t22\\t1\\t0\\t0\\t3\\t556\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t22\\t1\\t1\\t0\\t3\\t556\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t22\\t1\\t1\\t1\\t3\\t556\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t23\\t0\\t0\\t0\\t3\\t578\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t23\\t1\\t0\\t0\\t3\\t578\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t23\\t1\\t1\\t0\\t3\\t578\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t23\\t1\\t1\\t1\\t3\\t578\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t24\\t0\\t0\\t0\\t3\\t600\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t24\\t1\\t0\\t0\\t3\\t600\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t24\\t1\\t1\\t0\\t3\\t600\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t24\\t1\\t1\\t1\\t3\\t600\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t25\\t0\\t0\\t0\\t3\\t622\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t25\\t1\\t0\\t0\\t3\\t622\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t25\\t1\\t1\\t0\\t3\\t622\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t25\\t1\\t1\\t1\\t3\\t622\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t26\\t0\\t0\\t0\\t3\\t644\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t26\\t1\\t0\\t0\\t3\\t644\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t26\\t1\\t1\\t0\\t3\\t644\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t26\\t1\\t1\\t1\\t3\\t644\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t27\\t0\\t0\\t0\\t3\\t666\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t27\\t1\\t0\\t0\\t3\\t666\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t27\\t1\\t1\\t0\\t3\\t666\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t27\\t1\\t1\\t1\\t3\\t666\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t28\\t0\\t0\\t0\\t3\\t688\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t28\\t1\\t0\\t0\\t3\\t688\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t28\\t1\\t1\\t0\\t3\\t688\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t28\\t1\\t1\\t1\\t3\\t688\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t29\\t0\\t0\\t0\\t3\\t710\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t29\\t1\\t0\\t0\\t3\\t710\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t29\\t1\\t1\\t0\\t3\\t710\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t29\\t1\\t1\\t1\\t3\\t710\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t30\\t0\\t0\\t0\\t3\\t732\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t30\\t1\\t0\\t0\\t3\\t732\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t30\\t1\\t1\\t0\\t3\\t732\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t30\\t1\\t1\\t1\\t3\\t732\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t31\\t0\\t0\\t0\\t3\\t754\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t31\\t1\\t0\\t0\\t3\\t754\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t31\\t1\\t1\\t0\\t3\\t754\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t31\\t1\\t1\\t1\\t3\\t754\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t32\\t0\\t0\\t0\\t3\\t776\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t32\\t1\\t0\\t0\\t3\\t776\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t32\\t1\\t1\\t0\\t3\\t776\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t32\\t1\\t1\\t1\\t3\\t776\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t33\\t0\\t0\\t0\\t3\\t798\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t33\\t1\\t0\\t0\\t3\\t798\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t33\\t1\\t1\\t0\\t3\\t798\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t33\\t1\\t1\\t1\\t3\\t798\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t34\\t0\\t0\\t0\\t3\\t820\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t34\\t1\\t0\\t0\\t3\\t820\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t34\\t1\\t1\\t0\\t3\\t820\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t34\\t1\\t1\\t1\\t3\\t820\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t35\\t0\\t0\\t0\\t3\\t842\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t35\\t1\\t0\\t0\\t3\\t842\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t35\\t1\\t1\\t0\\t3\\t842\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t35\\t1\\t1\\t1\\t3\\t842\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t36\\t0\\t0\\t0\\t3\\t864\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t36\\t1\\t0\\t0\\t3\\t864\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t36\\t1\\t1\\t0\\t3\\t864\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t36\\t1\\t1\\t1\\t3\\t864\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t37\\t0\\t0\\t0\\t3\\t886\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t37\\t1\\t0\\t0\\t3\\t886\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t37\\t1\\t1\\t0\\t3\\t886\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t37\\t1\\t1\\t1\\t3\\t886\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t38\\t0\\t0\\t0\\t3\\t908\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t38\\t1\\t0\\t0\\t3\\t908\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t38\\t1\\t1\\t0\\t3\\t908\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t38\\t1\\t1\\t1\\t3\\t908\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t39\\t0\\t0\\t0\\t3\\t930\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t39\\t1\\t0\\t0\\t3\\t930\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t39\\t1\\t1\\t0\\t3\\t930\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t39\\t1\\t1\\t1\\t3\\t930\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t40\\t0\\t0\\t0\\t3\\t952\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t40\\t1\\t0\\t0\\t3\\t952\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t40\\t1\\t1\\t0\\t3\\t952\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t40\\t1\\t1\\t1\\t3\\t952\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t41\\t0\\t0\\t0\\t3\\t292\\t1\\t683\\t-1\\t',\n",
       " '3\\t1\\t41\\t1\\t0\\t0\\t3\\t292\\t1\\t683\\t-1\\t',\n",
       " '4\\t1\\t41\\t1\\t1\\t0\\t3\\t292\\t1\\t683\\t-1\\t',\n",
       " '5\\t1\\t41\\t1\\t1\\t1\\t3\\t292\\t1\\t683\\t95\\t ',\n",
       " '2\\t1\\t42\\t0\\t0\\t0\\t170\\t292\\t1\\t683\\t-1\\t',\n",
       " '3\\t1\\t42\\t1\\t0\\t0\\t170\\t292\\t1\\t683\\t-1\\t',\n",
       " '4\\t1\\t42\\t1\\t1\\t0\\t170\\t292\\t1\\t683\\t-1\\t',\n",
       " '5\\t1\\t42\\t1\\t1\\t1\\t170\\t292\\t1\\t683\\t95\\t ',\n",
       " '2\\t1\\t43\\t0\\t0\\t0\\t338\\t292\\t1\\t683\\t-1\\t',\n",
       " '3\\t1\\t43\\t1\\t0\\t0\\t338\\t292\\t1\\t683\\t-1\\t',\n",
       " '4\\t1\\t43\\t1\\t1\\t0\\t338\\t292\\t1\\t683\\t-1\\t',\n",
       " '5\\t1\\t43\\t1\\t1\\t1\\t338\\t292\\t1\\t683\\t95\\t ',\n",
       " '2\\t1\\t44\\t0\\t0\\t0\\t487\\t292\\t1\\t683\\t-1\\t',\n",
       " '3\\t1\\t44\\t1\\t0\\t0\\t487\\t292\\t1\\t683\\t-1\\t',\n",
       " '4\\t1\\t44\\t1\\t1\\t0\\t487\\t292\\t1\\t683\\t-1\\t',\n",
       " '5\\t1\\t44\\t1\\t1\\t1\\t487\\t292\\t1\\t683\\t95\\t ',\n",
       " '2\\t1\\t45\\t0\\t0\\t0\\t3\\t974\\t648\\t1\\t-1\\t',\n",
       " '3\\t1\\t45\\t1\\t0\\t0\\t3\\t974\\t648\\t1\\t-1\\t',\n",
       " '4\\t1\\t45\\t1\\t1\\t0\\t3\\t974\\t648\\t1\\t-1\\t',\n",
       " '5\\t1\\t45\\t1\\t1\\t1\\t3\\t974\\t648\\t1\\t95\\t ',\n",
       " '2\\t1\\t46\\t0\\t0\\t0\\t650\\t292\\t1\\t683\\t-1\\t',\n",
       " '3\\t1\\t46\\t1\\t0\\t0\\t650\\t292\\t1\\t683\\t-1\\t',\n",
       " '4\\t1\\t46\\t1\\t1\\t0\\t650\\t292\\t1\\t683\\t-1\\t',\n",
       " '5\\t1\\t46\\t1\\t1\\t1\\t650\\t292\\t1\\t683\\t95\\t ',\n",
       " '']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.split('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2dd98018",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['level',\n",
       "  'page_num',\n",
       "  'block_num',\n",
       "  'par_num',\n",
       "  'line_num',\n",
       "  'word_num',\n",
       "  'left',\n",
       "  'top',\n",
       "  'width',\n",
       "  'height',\n",
       "  'conf',\n",
       "  'text'],\n",
       " ['1', '1', '0', '0', '0', '0', '0', '0', '653', '977', '-1', ''],\n",
       " ['2', '1', '1', '0', '0', '0', '42', '49', '549', '44', '-1', ''],\n",
       " ['3', '1', '1', '1', '0', '0', '42', '49', '549', '44', '-1', ''],\n",
       " ['4', '1', '1', '1', '1', '0', '42', '49', '549', '44', '-1', ''],\n",
       " ['5', '1', '1', '1', '1', '1', '42', '49', '81', '34', '93', 'Cell'],\n",
       " ['5', '1', '1', '1', '1', '2', '136', '49', '135', '34', '96', 'Phone'],\n",
       " ['5', '1', '1', '1', '1', '3', '285', '49', '148', '44', '96', 'Repair'],\n",
       " ['5', '1', '1', '1', '1', '4', '446', '50', '145', '33', '96', 'Center'],\n",
       " ['2', '1', '2', '0', '0', '0', '6', '129', '131', '79', '-1', ''],\n",
       " ['3', '1', '2', '1', '0', '0', '6', '129', '131', '79', '-1', ''],\n",
       " ['4', '1', '2', '1', '1', '0', '39', '129', '98', '14', '-1', ''],\n",
       " ['5', '1', '2', '1', '1', '1', '39', '129', '46', '11', '96', 'Mobile'],\n",
       " ['5', '1', '2', '1', '1', '2', '91', '129', '46', '14', '96', 'Repair'],\n",
       " ['4', '1', '2', '1', '2', '0', '6', '179', '86', '10', '-1', ''],\n",
       " ['5', '1', '2', '1', '2', '1', '6', '179', '45', '10', '96', 'Thomas'],\n",
       " ['5', '1', '2', '1', '2', '2', '56', '179', '36', '10', '94', 'Atkins'],\n",
       " ['4', '1', '2', '1', '3', '0', '7', '195', '98', '13', '-1', ''],\n",
       " ['5', '1', '2', '1', '3', '1', '7', '195', '43', '10', '95', 'General'],\n",
       " ['5', '1', '2', '1', '3', '2', '56', '195', '49', '13', '95', 'Manager'],\n",
       " ['2', '1', '3', '0', '0', '0', '127', '227', '161', '26', '-1', ''],\n",
       " ['3', '1', '3', '1', '0', '0', '127', '227', '161', '26', '-1', ''],\n",
       " ['4', '1', '3', '1', '1', '0', '127', '227', '161', '10', '-1', ''],\n",
       " ['5', '1', '3', '1', '1', '1', '127', '227', '36', '10', '87', 'Mobile:'],\n",
       " ['5', '1', '3', '1', '1', '2', '201', '227', '19', '10', '47', '+91'],\n",
       " ['5', '1', '3', '1', '1', '3', '227', '227', '61', '10', '80', '908725526'],\n",
       " ['4', '1', '3', '1', '2', '0', '201', '243', '87', '10', '-1', ''],\n",
       " ['5', '1', '3', '1', '2', '1', '201', '243', '19', '10', '71', '+91'],\n",
       " ['5', '1', '3', '1', '2', '2', '227', '243', '61', '10', '85', '908725666'],\n",
       " ['2', '1', '4', '0', '0', '0', '34', '277', '29', '11', '-1', ''],\n",
       " ['3', '1', '4', '1', '0', '0', '34', '277', '29', '11', '-1', ''],\n",
       " ['4', '1', '4', '1', '1', '0', '34', '277', '29', '11', '-1', ''],\n",
       " ['5', '1', '4', '1', '1', '1', '34', '277', '29', '11', '36', 'Gr'],\n",
       " ['2', '1', '5', '0', '0', '0', '69', '273', '185', '19', '-1', ''],\n",
       " ['3', '1', '5', '1', '0', '0', '69', '273', '185', '19', '-1', ''],\n",
       " ['4', '1', '5', '1', '1', '0', '69', '273', '185', '19', '-1', ''],\n",
       " ['5', '1', '5', '1', '1', '1', '69', '274', '19', '18', '95', ' '],\n",
       " ['5', '1', '5', '1', '1', '2', '197', '273', '57', '19', '95', ' '],\n",
       " ['2', '1', '6', '0', '0', '0', '369', '277', '33', '11', '-1', ''],\n",
       " ['3', '1', '6', '1', '0', '0', '369', '277', '33', '11', '-1', ''],\n",
       " ['4', '1', '6', '1', '1', '0', '369', '277', '33', '11', '-1', ''],\n",
       " ['5', '1', '6', '1', '1', '1', '369', '277', '33', '11', '95', ' '],\n",
       " ['2', '1', '7', '0', '0', '0', '404', '278', '21', '13', '-1', ''],\n",
       " ['3', '1', '7', '1', '0', '0', '404', '278', '21', '13', '-1', ''],\n",
       " ['4', '1', '7', '1', '1', '0', '404', '278', '21', '13', '-1', ''],\n",
       " ['5', '1', '7', '1', '1', '1', '404', '278', '21', '13', '43', 'ia'],\n",
       " ['2', '1', '8', '0', '0', '0', '427', '280', '6', '8', '-1', ''],\n",
       " ['3', '1', '8', '1', '0', '0', '427', '280', '6', '8', '-1', ''],\n",
       " ['4', '1', '8', '1', '1', '0', '427', '280', '6', '8', '-1', ''],\n",
       " ['5', '1', '8', '1', '1', '1', '427', '280', '6', '8', '95', ' '],\n",
       " ['2', '1', '9', '0', '0', '0', '433', '228', '207', '29', '-1', ''],\n",
       " ['3', '1', '9', '1', '0', '0', '433', '228', '207', '29', '-1', ''],\n",
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       " ['5', '1', '9', '1', '1', '1', '458', '228', '22', '10', '93', 'Mail:'],\n",
       " ['5',\n",
       "  '1',\n",
       "  '9',\n",
       "  '1',\n",
       "  '1',\n",
       "  '2',\n",
       "  '490',\n",
       "  '228',\n",
       "  '150',\n",
       "  '13',\n",
       "  '78',\n",
       "  'thomasatkins@gmail.com'],\n",
       " ['4', '1', '9', '1', '2', '0', '433', '243', '190', '14', '-1', ''],\n",
       " ['5', '1', '9', '1', '2', '1', '433', '243', '47', '10', '68', '‘Website:'],\n",
       " ['5',\n",
       "  '1',\n",
       "  '9',\n",
       "  '1',\n",
       "  '2',\n",
       "  '2',\n",
       "  '490',\n",
       "  '244',\n",
       "  '133',\n",
       "  '13',\n",
       "  '37',\n",
       "  'www.abccompany.com'],\n",
       " ['2', '1', '10', '0', '0', '0', '553', '277', '32', '11', '-1', ''],\n",
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       " ['5', '1', '10', '1', '1', '1', '553', '277', '32', '11', '94', 'Price'],\n",
       " ['2', '1', '11', '0', '0', '0', '3', '314', '648', '1', '-1', ''],\n",
       " ['3', '1', '11', '1', '0', '0', '3', '314', '648', '1', '-1', ''],\n",
       " ['4', '1', '11', '1', '1', '0', '3', '314', '648', '1', '-1', ''],\n",
       " ['5', '1', '11', '1', '1', '1', '3', '314', '648', '1', '95', ' '],\n",
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       " ['5', '1', '12', '1', '1', '1', '3', '336', '648', '1', '95', ' '],\n",
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       " ['5', '1', '13', '1', '1', '1', '3', '358', '648', '1', '95', ' '],\n",
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       " ['4', '1', '14', '1', '1', '0', '3', '380', '648', '1', '-1', ''],\n",
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       " ['3', '1', '15', '1', '0', '0', '3', '402', '648', '1', '-1', ''],\n",
       " ['4', '1', '15', '1', '1', '0', '3', '402', '648', '1', '-1', ''],\n",
       " ['5', '1', '15', '1', '1', '1', '3', '402', '648', '1', '95', ' '],\n",
       " ['2', '1', '16', '0', '0', '0', '3', '424', '648', '1', '-1', ''],\n",
       " ['3', '1', '16', '1', '0', '0', '3', '424', '648', '1', '-1', ''],\n",
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       " ['3', '1', '17', '1', '0', '0', '3', '446', '648', '1', '-1', ''],\n",
       " ['4', '1', '17', '1', '1', '0', '3', '446', '648', '1', '-1', ''],\n",
       " ['5', '1', '17', '1', '1', '1', '3', '446', '648', '1', '95', ' '],\n",
       " ['2', '1', '18', '0', '0', '0', '3', '468', '648', '1', '-1', ''],\n",
       " ['3', '1', '18', '1', '0', '0', '3', '468', '648', '1', '-1', ''],\n",
       " ['4', '1', '18', '1', '1', '0', '3', '468', '648', '1', '-1', ''],\n",
       " ['5', '1', '18', '1', '1', '1', '3', '468', '648', '1', '95', ' '],\n",
       " ['2', '1', '19', '0', '0', '0', '3', '490', '648', '1', '-1', ''],\n",
       " ['3', '1', '19', '1', '0', '0', '3', '490', '648', '1', '-1', ''],\n",
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       " ['5', '1', '19', '1', '1', '1', '3', '490', '648', '1', '95', ' '],\n",
       " ['2', '1', '20', '0', '0', '0', '3', '512', '648', '1', '-1', ''],\n",
       " ['3', '1', '20', '1', '0', '0', '3', '512', '648', '1', '-1', ''],\n",
       " ['4', '1', '20', '1', '1', '0', '3', '512', '648', '1', '-1', ''],\n",
       " ['5', '1', '20', '1', '1', '1', '3', '512', '648', '1', '95', ' '],\n",
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       " ['3', '1', '22', '1', '0', '0', '3', '556', '648', '1', '-1', ''],\n",
       " ['4', '1', '22', '1', '1', '0', '3', '556', '648', '1', '-1', ''],\n",
       " ['5', '1', '22', '1', '1', '1', '3', '556', '648', '1', '95', ' '],\n",
       " ['2', '1', '23', '0', '0', '0', '3', '578', '648', '1', '-1', ''],\n",
       " ['3', '1', '23', '1', '0', '0', '3', '578', '648', '1', '-1', ''],\n",
       " ['4', '1', '23', '1', '1', '0', '3', '578', '648', '1', '-1', ''],\n",
       " ['5', '1', '23', '1', '1', '1', '3', '578', '648', '1', '95', ' '],\n",
       " ['2', '1', '24', '0', '0', '0', '3', '600', '648', '1', '-1', ''],\n",
       " ['3', '1', '24', '1', '0', '0', '3', '600', '648', '1', '-1', ''],\n",
       " ['4', '1', '24', '1', '1', '0', '3', '600', '648', '1', '-1', ''],\n",
       " ['5', '1', '24', '1', '1', '1', '3', '600', '648', '1', '95', ' '],\n",
       " ['2', '1', '25', '0', '0', '0', '3', '622', '648', '1', '-1', ''],\n",
       " ['3', '1', '25', '1', '0', '0', '3', '622', '648', '1', '-1', ''],\n",
       " ['4', '1', '25', '1', '1', '0', '3', '622', '648', '1', '-1', ''],\n",
       " ['5', '1', '25', '1', '1', '1', '3', '622', '648', '1', '95', ' '],\n",
       " ['2', '1', '26', '0', '0', '0', '3', '644', '648', '1', '-1', ''],\n",
       " ['3', '1', '26', '1', '0', '0', '3', '644', '648', '1', '-1', ''],\n",
       " ['4', '1', '26', '1', '1', '0', '3', '644', '648', '1', '-1', ''],\n",
       " ['5', '1', '26', '1', '1', '1', '3', '644', '648', '1', '95', ' '],\n",
       " ['2', '1', '27', '0', '0', '0', '3', '666', '648', '1', '-1', ''],\n",
       " ['3', '1', '27', '1', '0', '0', '3', '666', '648', '1', '-1', ''],\n",
       " ['4', '1', '27', '1', '1', '0', '3', '666', '648', '1', '-1', ''],\n",
       " ['5', '1', '27', '1', '1', '1', '3', '666', '648', '1', '95', ' '],\n",
       " ['2', '1', '28', '0', '0', '0', '3', '688', '648', '1', '-1', ''],\n",
       " ['3', '1', '28', '1', '0', '0', '3', '688', '648', '1', '-1', ''],\n",
       " ['4', '1', '28', '1', '1', '0', '3', '688', '648', '1', '-1', ''],\n",
       " ['5', '1', '28', '1', '1', '1', '3', '688', '648', '1', '95', ' '],\n",
       " ['2', '1', '29', '0', '0', '0', '3', '710', '648', '1', '-1', ''],\n",
       " ['3', '1', '29', '1', '0', '0', '3', '710', '648', '1', '-1', ''],\n",
       " ['4', '1', '29', '1', '1', '0', '3', '710', '648', '1', '-1', ''],\n",
       " ['5', '1', '29', '1', '1', '1', '3', '710', '648', '1', '95', ' '],\n",
       " ['2', '1', '30', '0', '0', '0', '3', '732', '648', '1', '-1', ''],\n",
       " ['3', '1', '30', '1', '0', '0', '3', '732', '648', '1', '-1', ''],\n",
       " ['4', '1', '30', '1', '1', '0', '3', '732', '648', '1', '-1', ''],\n",
       " ['5', '1', '30', '1', '1', '1', '3', '732', '648', '1', '95', ' '],\n",
       " ['2', '1', '31', '0', '0', '0', '3', '754', '648', '1', '-1', ''],\n",
       " ['3', '1', '31', '1', '0', '0', '3', '754', '648', '1', '-1', ''],\n",
       " ['4', '1', '31', '1', '1', '0', '3', '754', '648', '1', '-1', ''],\n",
       " ['5', '1', '31', '1', '1', '1', '3', '754', '648', '1', '95', ' '],\n",
       " ['2', '1', '32', '0', '0', '0', '3', '776', '648', '1', '-1', ''],\n",
       " ['3', '1', '32', '1', '0', '0', '3', '776', '648', '1', '-1', ''],\n",
       " ['4', '1', '32', '1', '1', '0', '3', '776', '648', '1', '-1', ''],\n",
       " ['5', '1', '32', '1', '1', '1', '3', '776', '648', '1', '95', ' '],\n",
       " ['2', '1', '33', '0', '0', '0', '3', '798', '648', '1', '-1', ''],\n",
       " ['3', '1', '33', '1', '0', '0', '3', '798', '648', '1', '-1', ''],\n",
       " ['4', '1', '33', '1', '1', '0', '3', '798', '648', '1', '-1', ''],\n",
       " ['5', '1', '33', '1', '1', '1', '3', '798', '648', '1', '95', ' '],\n",
       " ['2', '1', '34', '0', '0', '0', '3', '820', '648', '1', '-1', ''],\n",
       " ['3', '1', '34', '1', '0', '0', '3', '820', '648', '1', '-1', ''],\n",
       " ['4', '1', '34', '1', '1', '0', '3', '820', '648', '1', '-1', ''],\n",
       " ['5', '1', '34', '1', '1', '1', '3', '820', '648', '1', '95', ' '],\n",
       " ['2', '1', '35', '0', '0', '0', '3', '842', '648', '1', '-1', ''],\n",
       " ['3', '1', '35', '1', '0', '0', '3', '842', '648', '1', '-1', ''],\n",
       " ['4', '1', '35', '1', '1', '0', '3', '842', '648', '1', '-1', ''],\n",
       " ['5', '1', '35', '1', '1', '1', '3', '842', '648', '1', '95', ' '],\n",
       " ['2', '1', '36', '0', '0', '0', '3', '864', '648', '1', '-1', ''],\n",
       " ['3', '1', '36', '1', '0', '0', '3', '864', '648', '1', '-1', ''],\n",
       " ['4', '1', '36', '1', '1', '0', '3', '864', '648', '1', '-1', ''],\n",
       " ['5', '1', '36', '1', '1', '1', '3', '864', '648', '1', '95', ' '],\n",
       " ['2', '1', '37', '0', '0', '0', '3', '886', '648', '1', '-1', ''],\n",
       " ['3', '1', '37', '1', '0', '0', '3', '886', '648', '1', '-1', ''],\n",
       " ['4', '1', '37', '1', '1', '0', '3', '886', '648', '1', '-1', ''],\n",
       " ['5', '1', '37', '1', '1', '1', '3', '886', '648', '1', '95', ' '],\n",
       " ['2', '1', '38', '0', '0', '0', '3', '908', '648', '1', '-1', ''],\n",
       " ['3', '1', '38', '1', '0', '0', '3', '908', '648', '1', '-1', ''],\n",
       " ['4', '1', '38', '1', '1', '0', '3', '908', '648', '1', '-1', ''],\n",
       " ['5', '1', '38', '1', '1', '1', '3', '908', '648', '1', '95', ' '],\n",
       " ['2', '1', '39', '0', '0', '0', '3', '930', '648', '1', '-1', ''],\n",
       " ['3', '1', '39', '1', '0', '0', '3', '930', '648', '1', '-1', ''],\n",
       " ['4', '1', '39', '1', '1', '0', '3', '930', '648', '1', '-1', ''],\n",
       " ['5', '1', '39', '1', '1', '1', '3', '930', '648', '1', '95', ' '],\n",
       " ['2', '1', '40', '0', '0', '0', '3', '952', '648', '1', '-1', ''],\n",
       " ['3', '1', '40', '1', '0', '0', '3', '952', '648', '1', '-1', ''],\n",
       " ['4', '1', '40', '1', '1', '0', '3', '952', '648', '1', '-1', ''],\n",
       " ['5', '1', '40', '1', '1', '1', '3', '952', '648', '1', '95', ' '],\n",
       " ['2', '1', '41', '0', '0', '0', '3', '292', '1', '683', '-1', ''],\n",
       " ['3', '1', '41', '1', '0', '0', '3', '292', '1', '683', '-1', ''],\n",
       " ['4', '1', '41', '1', '1', '0', '3', '292', '1', '683', '-1', ''],\n",
       " ['5', '1', '41', '1', '1', '1', '3', '292', '1', '683', '95', ' '],\n",
       " ['2', '1', '42', '0', '0', '0', '170', '292', '1', '683', '-1', ''],\n",
       " ['3', '1', '42', '1', '0', '0', '170', '292', '1', '683', '-1', ''],\n",
       " ['4', '1', '42', '1', '1', '0', '170', '292', '1', '683', '-1', ''],\n",
       " ['5', '1', '42', '1', '1', '1', '170', '292', '1', '683', '95', ' '],\n",
       " ['2', '1', '43', '0', '0', '0', '338', '292', '1', '683', '-1', ''],\n",
       " ['3', '1', '43', '1', '0', '0', '338', '292', '1', '683', '-1', ''],\n",
       " ['4', '1', '43', '1', '1', '0', '338', '292', '1', '683', '-1', ''],\n",
       " ['5', '1', '43', '1', '1', '1', '338', '292', '1', '683', '95', ' '],\n",
       " ['2', '1', '44', '0', '0', '0', '487', '292', '1', '683', '-1', ''],\n",
       " ['3', '1', '44', '1', '0', '0', '487', '292', '1', '683', '-1', ''],\n",
       " ['4', '1', '44', '1', '1', '0', '487', '292', '1', '683', '-1', ''],\n",
       " ['5', '1', '44', '1', '1', '1', '487', '292', '1', '683', '95', ' '],\n",
       " ['2', '1', '45', '0', '0', '0', '3', '974', '648', '1', '-1', ''],\n",
       " ['3', '1', '45', '1', '0', '0', '3', '974', '648', '1', '-1', ''],\n",
       " ['4', '1', '45', '1', '1', '0', '3', '974', '648', '1', '-1', ''],\n",
       " ['5', '1', '45', '1', '1', '1', '3', '974', '648', '1', '95', ' '],\n",
       " ['2', '1', '46', '0', '0', '0', '650', '292', '1', '683', '-1', ''],\n",
       " ['3', '1', '46', '1', '0', '0', '650', '292', '1', '683', '-1', ''],\n",
       " ['4', '1', '46', '1', '1', '0', '650', '292', '1', '683', '-1', ''],\n",
       " ['5', '1', '46', '1', '1', '1', '650', '292', '1', '683', '95', ' '],\n",
       " ['']]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataList = list(map(lambda x: x.split('\\t'),data.split('\\n')))\n",
    "dataList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f0c728d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.split('\\n')\n",
    "dataList = list(map(lambda x: x.split('\\t'),data.split('\\n')))\n",
    "df = pd.DataFrame(dataList[1:],columns=dataList[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f9c62064",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level</th>\n",
       "      <th>page_num</th>\n",
       "      <th>block_num</th>\n",
       "      <th>par_num</th>\n",
       "      <th>line_num</th>\n",
       "      <th>word_num</th>\n",
       "      <th>left</th>\n",
       "      <th>top</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>conf</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>653</td>\n",
       "      <td>977</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
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       "      <td>2</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>49</td>\n",
       "      <td>549</td>\n",
       "      <td>44</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>49</td>\n",
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       "      <td>-1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>549</td>\n",
       "      <td>44</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>49</td>\n",
       "      <td>81</td>\n",
       "      <td>34</td>\n",
       "      <td>93</td>\n",
       "      <td>Cell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>292</td>\n",
       "      <td>1</td>\n",
       "      <td>683</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>292</td>\n",
       "      <td>1</td>\n",
       "      <td>683</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>650</td>\n",
       "      <td>292</td>\n",
       "      <td>1</td>\n",
       "      <td>683</td>\n",
       "      <td>-1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>650</td>\n",
       "      <td>292</td>\n",
       "      <td>1</td>\n",
       "      <td>683</td>\n",
       "      <td>95</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>206 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    level page_num block_num par_num line_num word_num  left   top width  \\\n",
       "0       1        1         0       0        0        0     0     0   653   \n",
       "1       2        1         1       0        0        0    42    49   549   \n",
       "2       3        1         1       1        0        0    42    49   549   \n",
       "3       4        1         1       1        1        0    42    49   549   \n",
       "4       5        1         1       1        1        1    42    49    81   \n",
       "..    ...      ...       ...     ...      ...      ...   ...   ...   ...   \n",
       "201     2        1        46       0        0        0   650   292     1   \n",
       "202     3        1        46       1        0        0   650   292     1   \n",
       "203     4        1        46       1        1        0   650   292     1   \n",
       "204     5        1        46       1        1        1   650   292     1   \n",
       "205           None      None    None     None     None  None  None  None   \n",
       "\n",
       "    height  conf  text  \n",
       "0      977    -1        \n",
       "1       44    -1        \n",
       "2       44    -1        \n",
       "3       44    -1        \n",
       "4       34    93  Cell  \n",
       "..     ...   ...   ...  \n",
       "201    683    -1        \n",
       "202    683    -1        \n",
       "203    683    -1        \n",
       "204    683    95        \n",
       "205   None  None  None  \n",
       "\n",
       "[206 rows x 12 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d3b40c0b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 206 entries, 0 to 205\n",
      "Data columns (total 12 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   level      206 non-null    object\n",
      " 1   page_num   205 non-null    object\n",
      " 2   block_num  205 non-null    object\n",
      " 3   par_num    205 non-null    object\n",
      " 4   line_num   205 non-null    object\n",
      " 5   word_num   205 non-null    object\n",
      " 6   left       205 non-null    object\n",
      " 7   top        205 non-null    object\n",
      " 8   width      205 non-null    object\n",
      " 9   height     205 non-null    object\n",
      " 10  conf       205 non-null    object\n",
      " 11  text       205 non-null    object\n",
      "dtypes: object(12)\n",
      "memory usage: 19.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e7085fd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)\n",
    "col_int = ['level','page_num','block_num','par_num','line_num','word_num','left','top','width','height','conf']\n",
    "df[col_int] = df[col_int].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d39e1099",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "level         int32\n",
       "page_num      int32\n",
       "block_num     int32\n",
       "par_num       int32\n",
       "line_num      int32\n",
       "word_num      int32\n",
       "left          int32\n",
       "top           int32\n",
       "width         int32\n",
       "height        int32\n",
       "conf          int32\n",
       "text         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "795af7b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = img_cv.copy()\n",
    "level = 'word'\n",
    "for l,x,y,w,h,c,txt in df[['level','left','top','width','height','conf','text']].values:\n",
    "    #print(l,x,y,w,h,c)\n",
    "    if level == 'page':\n",
    "        if l == 1:\n",
    "            cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2)\n",
    "        else:\n",
    "            continue\n",
    "    elif level == 'block':\n",
    "        if l == 2:\n",
    "            cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,0),2)\n",
    "        else:\n",
    "            continue\n",
    "    elif level == 'para':\n",
    "        if l == 3:\n",
    "            cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,255),2)\n",
    "        else:\n",
    "            continue\n",
    "    elif level == 'line':\n",
    "        if l == 4:\n",
    "            cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,50),2)\n",
    "        else:\n",
    "            continue\n",
    "    elif level == 'word':\n",
    "        if l == 5:\n",
    "            cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,0),2)\n",
    "            cv2.putText(image,txt,(x,y),cv2.FONT_HERSHEY_PLAIN,1,(255,0,0),1)\n",
    "        else:\n",
    "            continue\n",
    "\n",
    "cv2.imshow(\"bounding box\",image)\n",
    "cv2.waitKey()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4ee972f4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59dee0f3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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