{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['CUDA_VISIBLE_DEVICES']='0' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fasterai.visualize import *\n",
    "plt.style.use('dark_background')\n",
    "torch.backends.cudnn.benchmark=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Adjust render_factor (int) if image doesn't look quite right (max 45 on 11GB GPU).  \n",
    "#Lower render factors (as low as 12-15) tend to work well for old and low quality videos.\n",
    "#High render factors (25-45) tend to work well for higher quality and more recent videos\n",
    "\n",
    "#Not satisfied with color saturation?  Lower the render factor.  \n",
    "#Unacceptable object flicker?  Increase the render factor.\n",
    "\n",
    "#It literally just is a number multiplied by 16 to get the square render resolution.  \n",
    "#Note that this doesn't affect the resolution of the final output- the output is the same resolution as the input.\n",
    "#Example:  render_factor=21 => color is rendered at 16x21 = 336x336 px.  \n",
    "render_factor=21\n",
    "#Specify media_url. Many sources will work (YouTube, Imgur, Twitter, Reddit, etc). \n",
    "#Complete list here: https://rg3.github.io/youtube-dl/supportedsites.html. \n",
    "#NOTE:  Make source_url None to just read from file at ./video/source/[file_name] directly without modification\n",
    "#source_url= 'https://twitter.com/silentmoviegifs/status/1112256563182489600'\n",
    "#source_url='https://archive.org/details/impact'\n",
    "source_url='https://twitter.com/silentmoviegifs/status/1116751583386034176'\n",
    "file_name = 'DogBath.mp4'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "colorizer = get_video_colorizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if source_url is not None:\n",
    "    video_path = colorizer.colorize_from_url(source_url, file_name, render_factor=render_factor)\n",
    "    show_video_in_notebook(video_path)\n",
    "else:\n",
    "    video_path = colorizer.colorize_from_file_name(file_name)\n",
    "    show_video_in_notebook(video_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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  "toc": {
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    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700",
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