portrait_animation.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "portrait_animation.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "2d90uYIwlaBB"
      ],
      "toc_visible": true,
      "authorship_tag": "ABX9TyNHCTqKR8d8UBkAgGpPlkfm",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/athreyaanand/NeuralTransferPortraitAnimation/blob/master/portrait_animation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4ZlVrpbzgHrp",
        "colab_type": "text"
      },
      "source": [
        "# Neural Transfer Portrait Animation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eWDUtT-LgU1L",
        "colab_type": "text"
      },
      "source": [
        "This notebook should serve as an all-in-one tool to convert videos into style-transferred animations! \n",
        "\n",
        "The notebook works in the following order:\n",
        "\n",
        "1.   User **uploads** video\n",
        "2.   Video is **decomposed** into individual frames\n",
        "3.   User **chooses series** of paintings/source images to base stylization\n",
        "4.   Notebook automatically **partitions** video into equal-length sections\n",
        "5.   A pre-trained stylization network **applies stylization** to each partition\n",
        "6.   Stylized frames are **recomposed** and converted into an avi\n",
        "7.   Notebook **converts** .avi to .mp4 and downloads file\n",
        "\n",
        "The notebook should guide the user on what exactly to do for those not familiar with a colab environment and will try to make the process as easy as possible. If confusion arises, leave a comment on the cell (top right corner) and I'll add more clarification; now let's get to it!\n",
        "\n",
        "*   Make sure you have changed the **frame rate** variable within the video decomposition section\n",
        "*   Make sure you have added your **base photos** in the **Choose Images** section\n",
        "*   To ensure a clean start go to **Runtime** -> **Factory Reset Runtime** -> **Yes**\n",
        " *  You might need to hit **connect/reconnect** on the top left\n",
        "*   Go to **Runtime** -> **Change Runtime Type** -> **Hardware Accelerator** -> **GPU** -> **Save**\n",
        "*   Go to **Runtime** -> **Run All**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o19_L1-6iiJ9",
        "colab_type": "text"
      },
      "source": [
        "## Video Upload\n",
        "\n",
        "After running this cell, a little button should appear indicating for you to \"choose files.\" This is where you upload your video file (mp4). You should be able to see the percentage completed under the dialog box and receive a confirmation message after completion."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RnmYRop91Nx6",
        "colab_type": "code",
        "outputId": "c3cecf25-9e7d-4b26-d1e4-f6edb853eaa0",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "from google.colab import files\n",
        "\n",
        "print(\"**UPLOAD MP4 VIDEO FILE**\\n\")\n",
        "uploaded = files.upload()\n",
        "\n",
        "for file in uploaded.keys():\n",
        "  print(f\"{file} of size {len(uploaded[file])} successfully uploaded!\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "IMPORT MP4 VIDEO FILE\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-dfd2e8e8-63aa-4035-86bf-a7c2c3a45598\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-dfd2e8e8-63aa-4035-86bf-a7c2c3a45598\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving Guitar_Original_Video.mp4 to Guitar_Original_Video.mp4\n",
            "User has uploaded video Guitar_Original_Video.mp4 of size 7868318\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qRveGYyP-CqG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "\n",
        "filename = f\"{os.getcwd()}/{list(uploaded.keys())[0]}\"\n",
        "dirname = os.path.splitext(filename)[0]\n",
        "\n",
        "# creates a unique folder based off of the file name and enters it\n",
        "if not os.path.exists(dirname):\n",
        "  os.mkdir(dirname)\n",
        "os.chdir(dirname)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i7k764ZLkuMD",
        "colab_type": "text"
      },
      "source": [
        "## Video Decomposition"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f0lWSJ7FlIiO",
        "colab_type": "text"
      },
      "source": [
        "This section focuses on decomposing the video into individual frames. Make sure you change the **frame rate** below to whatever you wish!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3qMQY4Fj3gI6",
        "colab_type": "code",
        "outputId": "9d990f7a-36fa-440a-b86f-b1c605571ce2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import cv2\n",
        "\n",
        "# creates a frames folder and enters it\n",
        "if not os.path.exists(f\"{dirname}/frames\"):\n",
        "  os.mkdir(f\"{dirname}/frames\")\n",
        "os.chdir(f\"{dirname}/frames\")\n",
        "\n",
        "# method to get frame from video\n",
        "vidcap = cv2.VideoCapture(filename)\n",
        "def get_frame(sec):\n",
        "    vidcap.set(cv2.CAP_PROP_POS_MSEC,sec*1000)\n",
        "    hasFrames, image = vidcap.read()\n",
        "    if hasFrames:\n",
        "        print(f\"Writing frame {count}\")\n",
        "        cv2.imwrite(\"frame\"+str(count)+\".jpg\", image) # saving frame as JPG file\n",
        "    return hasFrames\n",
        "    \n",
        "sec = 0\n",
        "'''\n",
        "FRAME RATE\n",
        "\n",
        "change the number dividing one into whatever frame rate you desire \n",
        "(i.e. 1/20 for 20 frames per second)\n",
        "'''\n",
        "frame_rate = 1/10 # <-- CHANGE HERE\n",
        "count = 1\n",
        "success = get_frame(sec)\n",
        "while success:\n",
        "    count = count + 1\n",
        "    sec = sec + frame_rate\n",
        "    sec = round(sec, 2)\n",
        "    success = get_frame(sec)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Writing frame 1\n",
            "Writing frame 2\n",
            "Writing frame 3\n",
            "Writing frame 4\n",
            "Writing frame 5\n",
            "Writing frame 6\n",
            "Writing frame 7\n",
            "Writing frame 8\n",
            "Writing frame 9\n",
            "Writing frame 10\n",
            "Writing frame 11\n",
            "Writing frame 12\n",
            "Writing frame 13\n",
            "Writing frame 14\n",
            "Writing frame 15\n",
            "Writing frame 16\n",
            "Writing frame 17\n",
            "Writing frame 18\n",
            "Writing frame 19\n",
            "Writing frame 20\n",
            "Writing frame 21\n",
            "Writing frame 22\n",
            "Writing frame 23\n",
            "Writing frame 24\n",
            "Writing frame 25\n",
            "Writing frame 26\n",
            "Writing frame 27\n",
            "Writing frame 28\n",
            "Writing frame 29\n",
            "Writing frame 30\n",
            "Writing frame 31\n",
            "Writing frame 32\n",
            "Writing frame 33\n",
            "Writing frame 34\n",
            "Writing frame 35\n",
            "Writing frame 36\n",
            "Writing frame 37\n",
            "Writing frame 38\n",
            "Writing frame 39\n",
            "Writing frame 40\n",
            "Writing frame 41\n",
            "Writing frame 42\n",
            "Writing frame 43\n",
            "Writing frame 44\n",
            "Writing frame 45\n",
            "Writing frame 46\n",
            "Writing frame 47\n",
            "Writing frame 48\n",
            "Writing frame 49\n",
            "Writing frame 50\n",
            "Writing frame 51\n",
            "Writing frame 52\n",
            "Writing frame 53\n",
            "Writing frame 54\n",
            "Writing frame 55\n",
            "Writing frame 56\n",
            "Writing frame 57\n",
            "Writing frame 58\n",
            "Writing frame 59\n",
            "Writing frame 60\n",
            "Writing frame 61\n",
            "Writing frame 62\n",
            "Writing frame 63\n",
            "Writing frame 64\n",
            "Writing frame 65\n",
            "Writing frame 66\n",
            "Writing frame 67\n",
            "Writing frame 68\n",
            "Writing frame 69\n",
            "Writing frame 70\n",
            "Writing frame 71\n",
            "Writing frame 72\n",
            "Writing frame 73\n",
            "Writing frame 74\n",
            "Writing frame 75\n",
            "Writing frame 76\n",
            "Writing frame 77\n",
            "Writing frame 78\n",
            "Writing frame 79\n",
            "Writing frame 80\n",
            "Writing frame 81\n",
            "Writing frame 82\n",
            "Writing frame 83\n",
            "Writing frame 84\n",
            "Writing frame 85\n",
            "Writing frame 86\n",
            "Writing frame 87\n",
            "Writing frame 88\n",
            "Writing frame 89\n",
            "Writing frame 90\n",
            "Writing frame 91\n",
            "Writing frame 92\n",
            "Writing frame 93\n",
            "Writing frame 94\n",
            "Writing frame 95\n",
            "Writing frame 96\n",
            "Writing frame 97\n",
            "Writing frame 98\n",
            "Writing frame 99\n",
            "Writing frame 100\n",
            "Writing frame 101\n",
            "Writing frame 102\n",
            "Writing frame 103\n",
            "Writing frame 104\n",
            "Writing frame 105\n",
            "Writing frame 106\n",
            "Writing frame 107\n",
            "Writing frame 108\n",
            "Writing frame 109\n",
            "Writing frame 110\n",
            "Writing frame 111\n",
            "Writing frame 112\n",
            "Writing frame 113\n",
            "Writing frame 114\n",
            "Writing frame 115\n",
            "Writing frame 116\n",
            "Writing frame 117\n",
            "Writing frame 118\n",
            "Writing frame 119\n",
            "Writing frame 120\n",
            "Writing frame 121\n",
            "Writing frame 122\n",
            "Writing frame 123\n",
            "Writing frame 124\n",
            "Writing frame 125\n",
            "Writing frame 126\n",
            "Writing frame 127\n",
            "Writing frame 128\n",
            "Writing frame 129\n",
            "Writing frame 130\n",
            "Writing frame 131\n",
            "Writing frame 132\n",
            "Writing frame 133\n",
            "Writing frame 134\n",
            "Writing frame 135\n",
            "Writing frame 136\n",
            "Writing frame 137\n",
            "Writing frame 138\n",
            "Writing frame 139\n",
            "Writing frame 140\n",
            "Writing frame 141\n",
            "Writing frame 142\n",
            "Writing frame 143\n",
            "Writing frame 144\n",
            "Writing frame 145\n",
            "Writing frame 146\n",
            "Writing frame 147\n",
            "Writing frame 148\n",
            "Writing frame 149\n",
            "Writing frame 150\n",
            "Writing frame 151\n",
            "Writing frame 152\n",
            "Writing frame 153\n",
            "Writing frame 154\n",
            "Writing frame 155\n",
            "Writing frame 156\n",
            "Writing frame 157\n",
            "Writing frame 158\n",
            "Writing frame 159\n",
            "Writing frame 160\n",
            "Writing frame 161\n",
            "Writing frame 162\n",
            "Writing frame 163\n",
            "Writing frame 164\n",
            "Writing frame 165\n",
            "Writing frame 166\n",
            "Writing frame 167\n",
            "Writing frame 168\n",
            "Writing frame 169\n",
            "Writing frame 170\n",
            "Writing frame 171\n",
            "Writing frame 172\n",
            "Writing frame 173\n",
            "Writing frame 174\n",
            "Writing frame 175\n",
            "Writing frame 176\n",
            "Writing frame 177\n",
            "Writing frame 178\n",
            "Writing frame 179\n",
            "Writing frame 180\n",
            "Writing frame 181\n",
            "Writing frame 182\n",
            "Writing frame 183\n",
            "Writing frame 184\n",
            "Writing frame 185\n",
            "Writing frame 186\n",
            "Writing frame 187\n",
            "Writing frame 188\n",
            "Writing frame 189\n",
            "Writing frame 190\n",
            "Writing frame 191\n",
            "Writing frame 192\n",
            "Writing frame 193\n",
            "Writing frame 194\n",
            "Writing frame 195\n",
            "Writing frame 196\n",
            "Writing frame 197\n",
            "Writing frame 198\n",
            "Writing frame 199\n",
            "Writing frame 200\n",
            "Writing frame 201\n",
            "Writing frame 202\n",
            "Writing frame 203\n",
            "Writing frame 204\n",
            "Writing frame 205\n",
            "Writing frame 206\n",
            "Writing frame 207\n",
            "Writing frame 208\n",
            "Writing frame 209\n",
            "Writing frame 210\n",
            "Writing frame 211\n",
            "Writing frame 212\n",
            "Writing frame 213\n",
            "Writing frame 214\n",
            "Writing frame 215\n",
            "Writing frame 216\n",
            "Writing frame 217\n",
            "Writing frame 218\n",
            "Writing frame 219\n",
            "Writing frame 220\n",
            "Writing frame 221\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D6y1cUZxExVO",
        "colab_type": "text"
      },
      "source": [
        "## Style Transfer Individual Frames"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2d90uYIwlaBB",
        "colab_type": "text"
      },
      "source": [
        "### Setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SCA0Y5aJEmk4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from __future__ import absolute_import, division, print_function, unicode_literals"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fCbnp319Euow",
        "colab_type": "code",
        "outputId": "6f6d8806-326a-4fe8-91e0-a7cabe8abeda",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "try:\n",
        "  %tensorflow_version 2.x\n",
        "except Exception:\n",
        "  pass\n",
        "import tensorflow as tf"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TensorFlow 2.x selected.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wpgx6N6UE9nz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import IPython.display as display\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib as mpl\n",
        "mpl.rcParams['figure.figsize'] = (12,12)\n",
        "mpl.rcParams['axes.grid'] = False\n",
        "\n",
        "import numpy as np\n",
        "import PIL.Image\n",
        "import time\n",
        "import functools"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_WHoRuDiE-5e",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def tensor_to_image(tensor):\n",
        "  tensor = tensor*255\n",
        "  tensor = np.array(tensor, dtype=np.uint8)\n",
        "  if np.ndim(tensor)>3:\n",
        "    assert tensor.shape[0] == 1\n",
        "    tensor = tensor[0]\n",
        "  return PIL.Image.fromarray(tensor)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hG_rYRtAFHT8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def load_img(path_to_img):\n",
        "  max_dim = 512\n",
        "  img = tf.io.read_file(path_to_img)\n",
        "  img = tf.image.decode_image(img, channels=3)\n",
        "  img = tf.image.convert_image_dtype(img, tf.float32)\n",
        "\n",
        "  shape = tf.cast(tf.shape(img)[:-1], tf.float32)\n",
        "  long_dim = max(shape)\n",
        "  scale = max_dim / long_dim\n",
        "\n",
        "  new_shape = tf.cast(shape * scale, tf.int32)\n",
        "\n",
        "  img = tf.image.resize(img, new_shape)\n",
        "  img = img[tf.newaxis, :]\n",
        "  return img"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Wc4JIpGFTQX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def imshow(image, title=None):\n",
        "  if len(image.shape) > 3:\n",
        "    image = tf.squeeze(image, axis=0)\n",
        "\n",
        "  plt.imshow(image)\n",
        "  if title:\n",
        "    plt.title(title)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DpOaM8PxlgFI",
        "colab_type": "text"
      },
      "source": [
        "### Choose Images"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "emNFfezgltit",
        "colab_type": "text"
      },
      "source": [
        "Below in the source_images variable, go ahead and add whatever paintings/images you wish to stylize off of. If you want more paintings, add a comma after the array entry and insert your other link. Ensure that there is atleast one source image or the program will fail!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "outputId": "43ac839b-d234-450c-d6f0-f0267fb47ef7",
        "id": "DPgbdhRMWvXT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "'''\n",
        "SOURCE IMAGES\n",
        "\n",
        "- add your paintings below\n",
        "- if you want to add an image, add a comma and insert your link in a new line\n",
        "\n",
        "*- if you want one image throughout the entire image, only have one link\n",
        "*- the more paintings, the shorter the respective sections so make sure you have a \n",
        "video long enough!\n",
        "'''\n",
        "source_images = ['https://storage.googleapis.com/download.tensorflow.org/example_images/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg',\n",
        "                 'https://upload.wikimedia.org/wikipedia/commons/a/a5/Tsunami_by_hokusai_19th_century.jpg'] # <-- ADD IMAGES HERE\n",
        "\n",
        "image_count = 0\n",
        "style_images = []\n",
        "for source_image in source_images:\n",
        "  style_images.append(load_img(tf.keras.utils.get_file(f'source_image{image_count}.jpg', source_image)))\n",
        "  image_count += 1"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/download.tensorflow.org/example_images/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg\n",
            "196608/195196 [==============================] - 0s 0us/step\n",
            "Downloading data from https://upload.wikimedia.org/wikipedia/commons/a/a5/Tsunami_by_hokusai_19th_century.jpg\n",
            "2359296/2354187 [==============================] - 0s 0us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wf96t2u-W0vp",
        "colab_type": "code",
        "outputId": "9bfc98cf-db95-4f3d-beab-45d9643c85bd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "import re\n",
        "\n",
        "# gets frames within folder and ensures that they are sorted\n",
        "frames = [f for f in os.listdir(f\"{dirname}/frames\") if os.path.isfile(f)]\n",
        "frames.sort(key=lambda var:[int(x) if x.isdigit() else x for x in re.findall(r'[^0-9]|[0-9]+', var)])\n",
        "\n",
        "# show first image in source_images\n",
        "plt.subplot(1, 2, 2)\n",
        "imshow(style_images[0], 'First Style Image')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:9: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
            "  if __name__ == '__main__':\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVsAAAD8CAYAAADZoQcPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 864x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xO9M88i8G6h3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# creates a stylized frames folder and enters it\n",
        "if not os.path.exists(f\"{dirname}/stylized_frames\"):\n",
        "  os.mkdir(f\"{dirname}/stylized_frames\")\n",
        "os.chdir(f\"{dirname}/stylized_frames\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bs2WCymnphKf",
        "colab_type": "text"
      },
      "source": [
        "### Stylization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SOTCfttLDFZZ",
        "colab_type": "code",
        "outputId": "c5f23290-55a9-48cc-eaa9-23b3e5f24143",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import tensorflow_hub as hub\n",
        "\n",
        "# load up pretrained network\n",
        "hub_module = hub.load('https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2')\n",
        "\n",
        "# find frame partitions based off of # of paintings\n",
        "frames_per_style = len(frames)//len(source_images)\n",
        "# keep track of current frame count\n",
        "stylized_frame_cnt = 0\n",
        "# ptr to style_image within array\n",
        "src_image_ptr = 0\n",
        "for frame in frames:\n",
        "  print(f\"Stylizing {frame}\")  \n",
        "  stylized_image = hub_module(tf.constant(load_img(f\"{dirname}/frames/{frame}\")), tf.constant(style_images[src_image_ptr]))[0]\n",
        "  tensor_to_image(stylized_image).save(\"stylized_\" + frame)\n",
        "  stylized_frame_cnt += 1\n",
        "  # Go to next stylization and reset frame count\n",
        "  if stylized_frame_cnt > frames_per_style and src_image_ptr < len(source_images) - 1:\n",
        "    src_image_ptr += 1\n",
        "    stylized_frame_cnt = 0"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "frames_per_style: 110\n",
            "stylized_frame_cnt: 0\n",
            "src_image_ptr: 0\n",
            "Stylizing frame1.jpg\n",
            "Stylizing frame2.jpg\n",
            "Stylizing frame3.jpg\n",
            "Stylizing frame4.jpg\n",
            "Stylizing frame5.jpg\n",
            "Stylizing frame6.jpg\n",
            "Stylizing frame7.jpg\n",
            "Stylizing frame8.jpg\n",
            "Stylizing frame9.jpg\n",
            "Stylizing frame10.jpg\n",
            "Stylizing frame11.jpg\n",
            "Stylizing frame12.jpg\n",
            "Stylizing frame13.jpg\n",
            "Stylizing frame14.jpg\n",
            "Stylizing frame15.jpg\n",
            "Stylizing frame16.jpg\n",
            "Stylizing frame17.jpg\n",
            "Stylizing frame18.jpg\n",
            "Stylizing frame19.jpg\n",
            "Stylizing frame20.jpg\n",
            "Stylizing frame21.jpg\n",
            "Stylizing frame22.jpg\n",
            "Stylizing frame23.jpg\n",
            "Stylizing frame24.jpg\n",
            "Stylizing frame25.jpg\n",
            "Stylizing frame26.jpg\n",
            "Stylizing frame27.jpg\n",
            "Stylizing frame28.jpg\n",
            "Stylizing frame29.jpg\n",
            "Stylizing frame30.jpg\n",
            "Stylizing frame31.jpg\n",
            "Stylizing frame32.jpg\n",
            "Stylizing frame33.jpg\n",
            "Stylizing frame34.jpg\n",
            "Stylizing frame35.jpg\n",
            "Stylizing frame36.jpg\n",
            "Stylizing frame37.jpg\n",
            "Stylizing frame38.jpg\n",
            "Stylizing frame39.jpg\n",
            "Stylizing frame40.jpg\n",
            "Stylizing frame41.jpg\n",
            "Stylizing frame42.jpg\n",
            "Stylizing frame43.jpg\n",
            "Stylizing frame44.jpg\n",
            "Stylizing frame45.jpg\n",
            "Stylizing frame46.jpg\n",
            "Stylizing frame47.jpg\n",
            "Stylizing frame48.jpg\n",
            "Stylizing frame49.jpg\n",
            "Stylizing frame50.jpg\n",
            "Stylizing frame51.jpg\n",
            "Stylizing frame52.jpg\n",
            "Stylizing frame53.jpg\n",
            "Stylizing frame54.jpg\n",
            "Stylizing frame55.jpg\n",
            "Stylizing frame56.jpg\n",
            "Stylizing frame57.jpg\n",
            "Stylizing frame58.jpg\n",
            "Stylizing frame59.jpg\n",
            "Stylizing frame60.jpg\n",
            "Stylizing frame61.jpg\n",
            "Stylizing frame62.jpg\n",
            "Stylizing frame63.jpg\n",
            "Stylizing frame64.jpg\n",
            "Stylizing frame65.jpg\n",
            "Stylizing frame66.jpg\n",
            "Stylizing frame67.jpg\n",
            "Stylizing frame68.jpg\n",
            "Stylizing frame69.jpg\n",
            "Stylizing frame70.jpg\n",
            "Stylizing frame71.jpg\n",
            "Stylizing frame72.jpg\n",
            "Stylizing frame73.jpg\n",
            "Stylizing frame74.jpg\n",
            "Stylizing frame75.jpg\n",
            "Stylizing frame76.jpg\n",
            "Stylizing frame77.jpg\n",
            "Stylizing frame78.jpg\n",
            "Stylizing frame79.jpg\n",
            "Stylizing frame80.jpg\n",
            "Stylizing frame81.jpg\n",
            "Stylizing frame82.jpg\n",
            "Stylizing frame83.jpg\n",
            "Stylizing frame84.jpg\n",
            "Stylizing frame85.jpg\n",
            "Stylizing frame86.jpg\n",
            "Stylizing frame87.jpg\n",
            "Stylizing frame88.jpg\n",
            "Stylizing frame89.jpg\n",
            "Stylizing frame90.jpg\n",
            "Stylizing frame91.jpg\n",
            "Stylizing frame92.jpg\n",
            "Stylizing frame93.jpg\n",
            "Stylizing frame94.jpg\n",
            "Stylizing frame95.jpg\n",
            "Stylizing frame96.jpg\n",
            "Stylizing frame97.jpg\n",
            "Stylizing frame98.jpg\n",
            "Stylizing frame99.jpg\n",
            "Stylizing frame100.jpg\n",
            "Stylizing frame101.jpg\n",
            "Stylizing frame102.jpg\n",
            "Stylizing frame103.jpg\n",
            "Stylizing frame104.jpg\n",
            "Stylizing frame105.jpg\n",
            "Stylizing frame106.jpg\n",
            "Stylizing frame107.jpg\n",
            "Stylizing frame108.jpg\n",
            "Stylizing frame109.jpg\n",
            "Stylizing frame110.jpg\n",
            "Stylizing frame111.jpg\n",
            "IMAGE CHANGED TO: tf.Tensor(\n",
            "[[[[0.8522756  0.79308915 0.65497845]\n",
            "   [0.77915233 0.7244329  0.5756812 ]\n",
            "   [0.8084452  0.7574648  0.62413144]\n",
            "   ...\n",
            "   [0.93614584 0.8555941  0.70837563]\n",
            "   [0.8714105  0.7910412  0.6515575 ]\n",
            "   [0.97054595 0.9153513  0.8016258 ]]\n",
            "\n",
            "  [[0.72175443 0.6668525  0.5274334 ]\n",
            "   [0.7500261  0.6990457  0.5624042 ]\n",
            "   [0.82417727 0.7692753  0.63202035]\n",
            "   ...\n",
            "   [0.87791276 0.7916136  0.62495923]\n",
            "   [0.8775387  0.78718305 0.6394458 ]\n",
            "   [0.9859828  0.92593914 0.8124082 ]]\n",
            "\n",
            "  [[0.80186206 0.740199   0.5957763 ]\n",
            "   [0.8190141  0.7581645  0.6058987 ]\n",
            "   [0.7788009  0.7238989  0.57880086]\n",
            "   ...\n",
            "   [0.8839912  0.7874407  0.62219006]\n",
            "   [0.9150453  0.81822777 0.6306674 ]\n",
            "   [0.92053616 0.81073225 0.6264185 ]]\n",
            "\n",
            "  ...\n",
            "\n",
            "  [[0.9733735  0.9369973  0.80542135]\n",
            "   [0.94535905 0.8964047  0.762396  ]\n",
            "   [0.35862094 0.37443748 0.3619122 ]\n",
            "   ...\n",
            "   [0.8829045  0.8549969  0.7369506 ]\n",
            "   [0.6462285  0.70303667 0.6093145 ]\n",
            "   [0.6541159  0.81330335 0.7634611 ]]\n",
            "\n",
            "  [[0.97482294 0.9777304  0.801203  ]\n",
            "   [0.40743893 0.43631008 0.45752853]\n",
            "   [0.15823384 0.23104519 0.31171316]\n",
            "   ...\n",
            "   [0.7838515  0.8174276  0.7112146 ]\n",
            "   [0.8890528  0.9087533  0.7798844 ]\n",
            "   [0.93767923 0.8774628  0.7370391 ]]\n",
            "\n",
            "  [[0.42050013 0.46064195 0.44839752]\n",
            "   [0.24763946 0.36958507 0.43618777]\n",
            "   [0.17313154 0.2643875  0.38277656]\n",
            "   ...\n",
            "   [0.8871912  0.86149544 0.7219863 ]\n",
            "   [0.98340917 0.93979305 0.80405766]\n",
            "   [0.91122323 0.89373505 0.7421716 ]]]], shape=(1, 344, 511, 3), dtype=float32)\n",
            "Stylizing frame112.jpg\n",
            "Stylizing frame113.jpg\n",
            "Stylizing frame114.jpg\n",
            "Stylizing frame115.jpg\n",
            "Stylizing frame116.jpg\n",
            "Stylizing frame117.jpg\n",
            "Stylizing frame118.jpg\n",
            "Stylizing frame119.jpg\n",
            "Stylizing frame120.jpg\n",
            "Stylizing frame121.jpg\n",
            "Stylizing frame122.jpg\n",
            "Stylizing frame123.jpg\n",
            "Stylizing frame124.jpg\n",
            "Stylizing frame125.jpg\n",
            "Stylizing frame126.jpg\n",
            "Stylizing frame127.jpg\n",
            "Stylizing frame128.jpg\n",
            "Stylizing frame129.jpg\n",
            "Stylizing frame130.jpg\n",
            "Stylizing frame131.jpg\n",
            "Stylizing frame132.jpg\n",
            "Stylizing frame133.jpg\n",
            "Stylizing frame134.jpg\n",
            "Stylizing frame135.jpg\n",
            "Stylizing frame136.jpg\n",
            "Stylizing frame137.jpg\n",
            "Stylizing frame138.jpg\n",
            "Stylizing frame139.jpg\n",
            "Stylizing frame140.jpg\n",
            "Stylizing frame141.jpg\n",
            "Stylizing frame142.jpg\n",
            "Stylizing frame143.jpg\n",
            "Stylizing frame144.jpg\n",
            "Stylizing frame145.jpg\n",
            "Stylizing frame146.jpg\n",
            "Stylizing frame147.jpg\n",
            "Stylizing frame148.jpg\n",
            "Stylizing frame149.jpg\n",
            "Stylizing frame150.jpg\n",
            "Stylizing frame151.jpg\n",
            "Stylizing frame152.jpg\n",
            "Stylizing frame153.jpg\n",
            "Stylizing frame154.jpg\n",
            "Stylizing frame155.jpg\n",
            "Stylizing frame156.jpg\n",
            "Stylizing frame157.jpg\n",
            "Stylizing frame158.jpg\n",
            "Stylizing frame159.jpg\n",
            "Stylizing frame160.jpg\n",
            "Stylizing frame161.jpg\n",
            "Stylizing frame162.jpg\n",
            "Stylizing frame163.jpg\n",
            "Stylizing frame164.jpg\n",
            "Stylizing frame165.jpg\n",
            "Stylizing frame166.jpg\n",
            "Stylizing frame167.jpg\n",
            "Stylizing frame168.jpg\n",
            "Stylizing frame169.jpg\n",
            "Stylizing frame170.jpg\n",
            "Stylizing frame171.jpg\n",
            "Stylizing frame172.jpg\n",
            "Stylizing frame173.jpg\n",
            "Stylizing frame174.jpg\n",
            "Stylizing frame175.jpg\n",
            "Stylizing frame176.jpg\n",
            "Stylizing frame177.jpg\n",
            "Stylizing frame178.jpg\n",
            "Stylizing frame179.jpg\n",
            "Stylizing frame180.jpg\n",
            "Stylizing frame181.jpg\n",
            "Stylizing frame182.jpg\n",
            "Stylizing frame183.jpg\n",
            "Stylizing frame184.jpg\n",
            "Stylizing frame185.jpg\n",
            "Stylizing frame186.jpg\n",
            "Stylizing frame187.jpg\n",
            "Stylizing frame188.jpg\n",
            "Stylizing frame189.jpg\n",
            "Stylizing frame190.jpg\n",
            "Stylizing frame191.jpg\n",
            "Stylizing frame192.jpg\n",
            "Stylizing frame193.jpg\n",
            "Stylizing frame194.jpg\n",
            "Stylizing frame195.jpg\n",
            "Stylizing frame196.jpg\n",
            "Stylizing frame197.jpg\n",
            "Stylizing frame198.jpg\n",
            "Stylizing frame199.jpg\n",
            "Stylizing frame200.jpg\n",
            "Stylizing frame201.jpg\n",
            "Stylizing frame202.jpg\n",
            "Stylizing frame203.jpg\n",
            "Stylizing frame204.jpg\n",
            "Stylizing frame205.jpg\n",
            "Stylizing frame206.jpg\n",
            "Stylizing frame207.jpg\n",
            "Stylizing frame208.jpg\n",
            "Stylizing frame209.jpg\n",
            "Stylizing frame210.jpg\n",
            "Stylizing frame211.jpg\n",
            "Stylizing frame212.jpg\n",
            "Stylizing frame213.jpg\n",
            "Stylizing frame214.jpg\n",
            "Stylizing frame215.jpg\n",
            "Stylizing frame216.jpg\n",
            "Stylizing frame217.jpg\n",
            "Stylizing frame218.jpg\n",
            "Stylizing frame219.jpg\n",
            "Stylizing frame220.jpg\n",
            "Stylizing frame221.jpg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r7QJDFuMqXsh",
        "colab_type": "text"
      },
      "source": [
        "## Video Recomposition"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yjQShLTx4DQw",
        "colab_type": "code",
        "outputId": "09b71f3b-1f33-4cc9-db81-afc2d561238e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "image_folder = f\"{dirname}/stylized_frames\"\n",
        "video_name = f\"{dirname}/PORTRAIT.avi\"\n",
        "\n",
        "# obtain all stylized frames and ensure they are in order\n",
        "stylized_frames = [f for f in os.listdir(image_folder) if os.path.isfile(f)]\n",
        "stylized_frames.sort(key=lambda var:[int(x) if x.isdigit() else x for x in re.findall(r'[^0-9]|[0-9]+', var)])\n",
        "\n",
        "frame = cv2.imread(os.path.join(image_folder, stylized_frames[0]))\n",
        "height, width, layers = frame.shape\n",
        "\n",
        "video = cv2.VideoWriter(video_name, 0, 1/frame_rate, (width,height))\n",
        "\n",
        "# combine ordered frames into single video\n",
        "for stylized_frame in stylized_frames:\n",
        "  print(f\"adding {stylized_frame} to {video_name}...\")\n",
        "  video.write(cv2.imread(os.path.join(image_folder, stylized_frame)))\n",
        "\n",
        "cv2.destroyAllWindows()\n",
        "video.release()\n",
        "print(\"DONE!\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['stylized_frame1.jpg', 'stylized_frame2.jpg', 'stylized_frame3.jpg', 'stylized_frame4.jpg', 'stylized_frame5.jpg', 'stylized_frame6.jpg', 'stylized_frame7.jpg', 'stylized_frame8.jpg', 'stylized_frame9.jpg', 'stylized_frame10.jpg', 'stylized_frame11.jpg', 'stylized_frame12.jpg', 'stylized_frame13.jpg', 'stylized_frame14.jpg', 'stylized_frame15.jpg', 'stylized_frame16.jpg', 'stylized_frame17.jpg', 'stylized_frame18.jpg', 'stylized_frame19.jpg', 'stylized_frame20.jpg', 'stylized_frame21.jpg', 'stylized_frame22.jpg', 'stylized_frame23.jpg', 'stylized_frame24.jpg', 'stylized_frame25.jpg', 'stylized_frame26.jpg', 'stylized_frame27.jpg', 'stylized_frame28.jpg', 'stylized_frame29.jpg', 'stylized_frame30.jpg', 'stylized_frame31.jpg', 'stylized_frame32.jpg', 'stylized_frame33.jpg', 'stylized_frame34.jpg', 'stylized_frame35.jpg', 'stylized_frame36.jpg', 'stylized_frame37.jpg', 'stylized_frame38.jpg', 'stylized_frame39.jpg', 'stylized_frame40.jpg', 'stylized_frame41.jpg', 'stylized_frame42.jpg', 'stylized_frame43.jpg', 'stylized_frame44.jpg', 'stylized_frame45.jpg', 'stylized_frame46.jpg', 'stylized_frame47.jpg', 'stylized_frame48.jpg', 'stylized_frame49.jpg', 'stylized_frame50.jpg', 'stylized_frame51.jpg', 'stylized_frame52.jpg', 'stylized_frame53.jpg', 'stylized_frame54.jpg', 'stylized_frame55.jpg', 'stylized_frame56.jpg', 'stylized_frame57.jpg', 'stylized_frame58.jpg', 'stylized_frame59.jpg', 'stylized_frame60.jpg', 'stylized_frame61.jpg', 'stylized_frame62.jpg', 'stylized_frame63.jpg', 'stylized_frame64.jpg', 'stylized_frame65.jpg', 'stylized_frame66.jpg', 'stylized_frame67.jpg', 'stylized_frame68.jpg', 'stylized_frame69.jpg', 'stylized_frame70.jpg', 'stylized_frame71.jpg', 'stylized_frame72.jpg', 'stylized_frame73.jpg', 'stylized_frame74.jpg', 'stylized_frame75.jpg', 'stylized_frame76.jpg', 'stylized_frame77.jpg', 'stylized_frame78.jpg', 'stylized_frame79.jpg', 'stylized_frame80.jpg', 'stylized_frame81.jpg', 'stylized_frame82.jpg', 'stylized_frame83.jpg', 'stylized_frame84.jpg', 'stylized_frame85.jpg', 'stylized_frame86.jpg', 'stylized_frame87.jpg', 'stylized_frame88.jpg', 'stylized_frame89.jpg', 'stylized_frame90.jpg', 'stylized_frame91.jpg', 'stylized_frame92.jpg', 'stylized_frame93.jpg', 'stylized_frame94.jpg', 'stylized_frame95.jpg', 'stylized_frame96.jpg', 'stylized_frame97.jpg', 'stylized_frame98.jpg', 'stylized_frame99.jpg', 'stylized_frame100.jpg', 'stylized_frame101.jpg', 'stylized_frame102.jpg', 'stylized_frame103.jpg', 'stylized_frame104.jpg', 'stylized_frame105.jpg', 'stylized_frame106.jpg', 'stylized_frame107.jpg', 'stylized_frame108.jpg', 'stylized_frame109.jpg', 'stylized_frame110.jpg', 'stylized_frame111.jpg', 'stylized_frame112.jpg', 'stylized_frame113.jpg', 'stylized_frame114.jpg', 'stylized_frame115.jpg', 'stylized_frame116.jpg', 'stylized_frame117.jpg', 'stylized_frame118.jpg', 'stylized_frame119.jpg', 'stylized_frame120.jpg', 'stylized_frame121.jpg', 'stylized_frame122.jpg', 'stylized_frame123.jpg', 'stylized_frame124.jpg', 'stylized_frame125.jpg', 'stylized_frame126.jpg', 'stylized_frame127.jpg', 'stylized_frame128.jpg', 'stylized_frame129.jpg', 'stylized_frame130.jpg', 'stylized_frame131.jpg', 'stylized_frame132.jpg', 'stylized_frame133.jpg', 'stylized_frame134.jpg', 'stylized_frame135.jpg', 'stylized_frame136.jpg', 'stylized_frame137.jpg', 'stylized_frame138.jpg', 'stylized_frame139.jpg', 'stylized_frame140.jpg', 'stylized_frame141.jpg', 'stylized_frame142.jpg', 'stylized_frame143.jpg', 'stylized_frame144.jpg', 'stylized_frame145.jpg', 'stylized_frame146.jpg', 'stylized_frame147.jpg', 'stylized_frame148.jpg', 'stylized_frame149.jpg', 'stylized_frame150.jpg', 'stylized_frame151.jpg', 'stylized_frame152.jpg', 'stylized_frame153.jpg', 'stylized_frame154.jpg', 'stylized_frame155.jpg', 'stylized_frame156.jpg', 'stylized_frame157.jpg', 'stylized_frame158.jpg', 'stylized_frame159.jpg', 'stylized_frame160.jpg', 'stylized_frame161.jpg', 'stylized_frame162.jpg', 'stylized_frame163.jpg', 'stylized_frame164.jpg', 'stylized_frame165.jpg', 'stylized_frame166.jpg', 'stylized_frame167.jpg', 'stylized_frame168.jpg', 'stylized_frame169.jpg', 'stylized_frame170.jpg', 'stylized_frame171.jpg', 'stylized_frame172.jpg', 'stylized_frame173.jpg', 'stylized_frame174.jpg', 'stylized_frame175.jpg', 'stylized_frame176.jpg', 'stylized_frame177.jpg', 'stylized_frame178.jpg', 'stylized_frame179.jpg', 'stylized_frame180.jpg', 'stylized_frame181.jpg', 'stylized_frame182.jpg', 'stylized_frame183.jpg', 'stylized_frame184.jpg', 'stylized_frame185.jpg', 'stylized_frame186.jpg', 'stylized_frame187.jpg', 'stylized_frame188.jpg', 'stylized_frame189.jpg', 'stylized_frame190.jpg', 'stylized_frame191.jpg', 'stylized_frame192.jpg', 'stylized_frame193.jpg', 'stylized_frame194.jpg', 'stylized_frame195.jpg', 'stylized_frame196.jpg', 'stylized_frame197.jpg', 'stylized_frame198.jpg', 'stylized_frame199.jpg', 'stylized_frame200.jpg', 'stylized_frame201.jpg', 'stylized_frame202.jpg', 'stylized_frame203.jpg', 'stylized_frame204.jpg', 'stylized_frame205.jpg', 'stylized_frame206.jpg', 'stylized_frame207.jpg', 'stylized_frame208.jpg', 'stylized_frame209.jpg', 'stylized_frame210.jpg', 'stylized_frame211.jpg', 'stylized_frame212.jpg', 'stylized_frame213.jpg', 'stylized_frame214.jpg', 'stylized_frame215.jpg', 'stylized_frame216.jpg', 'stylized_frame217.jpg', 'stylized_frame218.jpg', 'stylized_frame219.jpg', 'stylized_frame220.jpg', 'stylized_frame221.jpg']\n",
            "adding stylized_frame1.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame2.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame3.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame4.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame5.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame6.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame7.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame8.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame9.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame10.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame11.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame12.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame13.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame14.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame15.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame16.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame17.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame18.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame19.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame20.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame21.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame22.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame23.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame24.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame25.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame26.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame27.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame28.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame29.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame30.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame31.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame32.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame33.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame34.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame35.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame36.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame37.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame38.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame39.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame40.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame41.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame42.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame43.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame44.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame45.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame46.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame47.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame48.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame49.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame50.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame51.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame52.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame53.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame54.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame55.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame56.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame57.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame58.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame59.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame60.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame61.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame62.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame63.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame64.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame65.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame66.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame67.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame68.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame69.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame70.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame71.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame72.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame73.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame74.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame75.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame76.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame77.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame78.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame79.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame80.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame81.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame82.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame83.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame84.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame85.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame86.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame87.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame88.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame89.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame90.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame91.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame92.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame93.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame94.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame95.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame96.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame97.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame98.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame99.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame100.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame101.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame102.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame103.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame104.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame105.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame106.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame107.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame108.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame109.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame110.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame111.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame112.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame113.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame114.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame115.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame116.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame117.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame118.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame119.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame120.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame121.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame122.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame123.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame124.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame125.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame126.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame127.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame128.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame129.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame130.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame131.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame132.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame133.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame134.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame135.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame136.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame137.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame138.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame139.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame140.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame141.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame142.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame143.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame144.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame145.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame146.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame147.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame148.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame149.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame150.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame151.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame152.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame153.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame154.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame155.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame156.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame157.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame158.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame159.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame160.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame161.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame162.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame163.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame164.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame165.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame166.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame167.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame168.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame169.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame170.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame171.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame172.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame173.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame174.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame175.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame176.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame177.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame178.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame179.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame180.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame181.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame182.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame183.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame184.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame185.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame186.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame187.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame188.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame189.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame190.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame191.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame192.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame193.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame194.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame195.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame196.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame197.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame198.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame199.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame200.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame201.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame202.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame203.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame204.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame205.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame206.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame207.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame208.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame209.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame210.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame211.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame212.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame213.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame214.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame215.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame216.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame217.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame218.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame219.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame220.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "adding stylized_frame221.jpg to /content/Guitar_Original_Video/PORTRAIT.avi...\n",
            "DONE!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aqQbwI-Vqvv1",
        "colab_type": "text"
      },
      "source": [
        "## Conversion and Final Download"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7PQeKU31dp1w",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "output = f\"{dirname}/animated_portrait.mp4\"\n",
        "\n",
        "# converting avi to mp4\n",
        "os.popen(f\"ffmpeg -i '{video_name}' -ac 2 -b:v 2000k -c:a aac -c:v libx264 -b:a 160k -vprofile high -bf 0 -strict experimental -f mp4 '{output}'\")\n",
        "print(\"Preparing download...\")\n",
        "files.download(output)\n",
        "print(\"ENJOY!\")"
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}