Video Text Detection AYBU.ipynb

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   "cell_type": "code",
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   "source": [
    "import pytesseract\n",
    "import cv2\n",
    "import numpy as np"
   ]
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  {
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    "font_scale = 1.5\n",
    "font = cv2.FONT_HERSHEY_PLAIN\n",
    "\n",
    "cap =cv2.VideoCapture(1)\n",
    "\n",
    "if not cap.isOpened():\n",
    "    cap =cv2.VideoCapture(0)\n",
    "if not cap.isOpened():\n",
    "    raise IOError(\"Cannot open video\")\n",
    "    \n",
    "counter= 0;\n",
    "while True:\n",
    "    ret,frame=cap.read()\n",
    "    counter +=1;\n",
    "    if ((counter%20)==0):\n",
    "        \n",
    "        imgH, imgW,_ = frame.shape\n",
    "        \n",
    "        x1,y1,w1,h1 = 0,0,imgH,imgW\n",
    "        \n",
    "        imgchar = pytesseract.image_to_string(frame)\n",
    "        \n",
    "        imgboxes = pytesseract.image_to_boxes(frame)\n",
    "        \n",
    "        for boxes in imgboxes.splitlines():\n",
    "            boxes = boxes.split(' ')\n",
    "            x,y,w,h = int(boxes[1]), int(boxes[2]), int(boxes[3]), int(boxes[4])\n",
    "            cv2.rectangle(frame, (x, imgH-y), (w,imgH-h), (0,0,255),3)\n",
    "            \n",
    "        cv2.putText(frame, imgchar, (x1 + int(w1/50), y1 + int(h1/50)), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255,0,0), 2)\n",
    "        \n",
    "        font = cv2.FONT_HERSHEY_SIMPLEX\n",
    "        \n",
    "        cv2.imshow('Text Detection Tutorial',frame)\n",
    "        \n",
    "        if cv2.waitKey(2) & 0xFF == ord('q'):\n",
    "            break\n",
    "\n",
    "cap.release()\n",
    "cv2.destroyAllWindows()\n",
    "            \n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3adefb3f",
   "metadata": {},
   "outputs": [],
   "source": []
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