webcam_inside_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Display webcamera inside Notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython import display\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frame = None\n",
    "\n",
    "camera = cv2.VideoCapture(0)\n",
    "\n",
    "try:\n",
    "    while(True):\n",
    "        _, frame = camera.read()\n",
    "        frame = frame[:, :, ::-1]\n",
    "        image = Image.fromarray(frame, \"RGB\")\n",
    "        buffer = BytesIO()\n",
    "        image.save(buffer,format=\"JPEG\")\n",
    "        display.display(display.Image(data=buffer.getvalue()))        \n",
    "        display.clear_output(True)\n",
    "except KeyboardInterrupt:\n",
    "    camera.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}