Image_Text_Detection.ipynb

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   "cell_type": "code",
   "execution_count": 34,
   "id": "915c7911",
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       "-1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pytesseract\n",
    "import cv2\n",
    "img = cv2.imread('try.png')\n",
    "img = cv2.resize(img, (720, 480))\n",
    "cv2.imshow('Result', img)\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "48b6518b",
   "metadata": {},
   "outputs": [],
   "source": [
    "pytesseract.pytesseract.tesseract_cmd = r\"C:\\Program Files\\Tesseract-OCR\\tesseract.exe\""
   ]
  },
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   "cell_type": "code",
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   "metadata": {},
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     "name": "stdout",
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     "text": [
      "FAILURE\n",
      "is\n",
      "NOT\n",
      "AN\n",
      "OPTION\n",
      "\n"
     ]
    },
    {
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       "-1"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pytesseract\n",
    "import cv2\n",
    "img = cv2.imread('try.png')\n",
    "img = cv2.resize(img, (600, 360))\n",
    "print(pytesseract.image_to_string(img))\n",
    "cv2.imshow('Result', img)\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9053fb5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "pytesseract.pytesseract.tesseract_cmd = r\"C:\\Program Files\\Tesseract-OCR\\tesseract.exe\""
   ]
  },
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   "id": "d8c683ca",
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      "\n"
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       "-1"
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     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pytesseract\n",
    "import cv2\n",
    "img = cv2.imread('try.png')\n",
    "img = cv2.resize(img, (600, 360))\n",
    "print(pytesseract.image_to_boxes(img))\n",
    "cv2.imshow('Result', img)\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "['I', '368', '191', '384', '219', '0']\n",
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    {
     "data": {
      "text/plain": [
       "-1"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pytesseract\n",
    "import cv2\n",
    "img = cv2.imread('try.png')\n",
    "img = cv2.resize(img, (720, 480))\n",
    "hImg, wImg, _ = img.shape\n",
    "\n",
    "boxes = pytesseract.image_to_boxes(img)\n",
    "\n",
    "for b in boxes.splitlines():\n",
    "    b = b.split(' ')\n",
    "    print(b)\n",
    "    x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])\n",
    "    cv2.rectangle(img, (x, hImg - y), (w, hImg - h), (50, 50, 255), 1)\n",
    "    cv2.putText(img, b[0], (x, hImg - y + 13), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (50, 205, 50), 1)\n",
    "\n",
    "cv2.imshow('Detected text', img)\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee6dee91",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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