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   "source": [
    "# The simplest opencv widget integration\n",
    "\n",
    "Create an updating html table that is displayed while the video is captured."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "    import cv2\n",
    "    from pandas import Series, DataFrame\n",
    "    from ipywidgets import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "    table = HTML()\n",
    "\n",
    "    def show_webcam(mirror=False):\n",
    "        global df\n",
    "        cam = cv2.VideoCapture(0)\n",
    "        while True:\n",
    "            ret_val, img = cam.read()\n",
    "            if mirror: \n",
    "                img = cv2.flip(img, 1)\n",
    "            df = DataFrame(img[None, None, 3][0, 0, :, :], columns=list('rgb'))\n",
    "            table.value = df.describe().astype(str).to_html()\n",
    "            cv2.imshow('my webcam', img)\n",
    "            if cv2.waitKey(1) == 27: \n",
    "                break  # esc to quit\n",
    "        cv2.destroyAllWindows()\n",
    "\n",
    "\n",
    "    def main():\n",
    "        try:\n",
    "            __import__(\"IPython\").display.display(table)\n",
    "            show_webcam(mirror=True)\n",
    "        except KeyboardInterrupt: ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run the program."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    if __name__ == '__main__':\n",
    "        main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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