Video_prediction.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "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": "3.7.3"
    },
    "colab": {
      "name": "Video prediction.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "accelerator": "GPU",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "43ae32fff7824a26bc6db60d66dd7bba": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_b5bb93231940498b8e945a3c92886199",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_d642a4d9eee245619d71b36a86cbfda3",
              "IPY_MODEL_c0a9003623164f768763505754f085db"
            ]
          }
        },
        "b5bb93231940498b8e945a3c92886199": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "d642a4d9eee245619d71b36a86cbfda3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_bbf7b5b71c624210aa3b9a315b1f2602",
            "_dom_classes": [],
            "description": "100%",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 77999237,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 77999237,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_e4c79209d5a243e5bb7c33e18113d76c"
          }
        },
        "c0a9003623164f768763505754f085db": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_ffa5e7a6fcf6432d8484ffbb6d8289db",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 74.4M/74.4M [00:00&lt;00:00, 88.7MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_2fdce5f3d3f94cd8ae98ff96abc64e78"
          }
        },
        "bbf7b5b71c624210aa3b9a315b1f2602": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "e4c79209d5a243e5bb7c33e18113d76c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "ffa5e7a6fcf6432d8484ffbb6d8289db": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "2fdce5f3d3f94cd8ae98ff96abc64e78": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "e02962be78b3407dbbc6434485d509c8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_2191b635a60548d8bfd878e750d719f9",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_9d0efb6c841848028b91856b3418d730",
              "IPY_MODEL_7b2a60d1f0874458b193f5419cecf025"
            ]
          }
        },
        "2191b635a60548d8bfd878e750d719f9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9d0efb6c841848028b91856b3418d730": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_2b12bdb4553a4a99be6a92faf891124f",
            "_dom_classes": [],
            "description": "100%",
            "_model_name": "FloatProgressModel",
            "bar_style": "success",
            "max": 35500829,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 35500829,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_33c9ca08c0c24379b6bd8cff84e3a82b"
          }
        },
        "7b2a60d1f0874458b193f5419cecf025": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_c9fc2aab0f9d432e88a7ffc09550541f",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": " 33.9M/33.9M [00:01&lt;00:00, 34.1MB/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_d93af4f81fee4f88baa05e93c1205c2a"
          }
        },
        "2b12bdb4553a4a99be6a92faf891124f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "33c9ca08c0c24379b6bd8cff84e3a82b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "c9fc2aab0f9d432e88a7ffc09550541f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "d93af4f81fee4f88baa05e93c1205c2a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/thiago1080/CosFace/blob/master/Video_prediction.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "jupyter": {
          "outputs_hidden": true
        },
        "id": "AwbA2dl-wzSq"
      },
      "source": [
        "# Video Face Manipulation Detection Through Ensemble of CNNs\n",
        "Image and Sound Processing Lab - Politecnico di Milano\n",
        "- Nicolò Bonettini\n",
        "- Edoardo Daniele Cannas\n",
        "- Sara Mandelli\n",
        "- Luca Bondi\n",
        "- Paolo Bestagini\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TH96I-fxw_JU"
      },
      "source": [
        "!git clone https://github.com/polimi-ispl/icpr2020dfdc\n",
        "!pip install efficientnet-pytorch\n",
        "!pip install -U git+https://github.com/albu/albumentations > /dev/null\n",
        "%cd icpr2020dfdc/notebook"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fPvvLUnIwzSs",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "outputId": "e9dca829-4a32-41f9-d2f4-9b3b73b17836"
      },
      "source": [
        "import torch\n",
        "from torch.utils.model_zoo import load_url\n",
        "import matplotlib.pyplot as plt\n",
        "from scipy.special import expit\n",
        "\n",
        "import sys\n",
        "sys.path.append('..')\n",
        "\n",
        "from blazeface import FaceExtractor, BlazeFace, VideoReader\n",
        "from architectures import fornet,weights\n",
        "from isplutils import utils"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "error",
          "ename": "ModuleNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-1-d0caeed5038a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'..'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mblazeface\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mFaceExtractor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBlazeFace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mVideoReader\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0marchitectures\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mfornet\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mweights\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0misplutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'blazeface'",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-3smEpNwwzSt"
      },
      "source": [
        "## Parameters"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QMaTYblPwzSt"
      },
      "source": [
        "\"\"\"\n",
        "Choose an architecture between\n",
        "- EfficientNetB4\n",
        "- EfficientNetB4ST\n",
        "- EfficientNetAutoAttB4\n",
        "- EfficientNetAutoAttB4ST\n",
        "- Xception\n",
        "\"\"\"\n",
        "net_model = 'EfficientNetAutoAttB4'\n",
        "\n",
        "\"\"\"\n",
        "Choose a training dataset between\n",
        "- DFDC\n",
        "- FFPP\n",
        "\"\"\"\n",
        "train_db = 'DFDC'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n7sIweSJwzSu"
      },
      "source": [
        "device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')\n",
        "face_policy = 'scale'\n",
        "face_size = 224\n",
        "frames_per_video = 32"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q0rPauY4wzSv"
      },
      "source": [
        "## Initialization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vMlZk3TSwzSv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 218,
          "referenced_widgets": [
            "43ae32fff7824a26bc6db60d66dd7bba",
            "b5bb93231940498b8e945a3c92886199",
            "d642a4d9eee245619d71b36a86cbfda3",
            "c0a9003623164f768763505754f085db",
            "bbf7b5b71c624210aa3b9a315b1f2602",
            "e4c79209d5a243e5bb7c33e18113d76c",
            "ffa5e7a6fcf6432d8484ffbb6d8289db",
            "2fdce5f3d3f94cd8ae98ff96abc64e78",
            "e02962be78b3407dbbc6434485d509c8",
            "2191b635a60548d8bfd878e750d719f9",
            "9d0efb6c841848028b91856b3418d730",
            "7b2a60d1f0874458b193f5419cecf025",
            "2b12bdb4553a4a99be6a92faf891124f",
            "33c9ca08c0c24379b6bd8cff84e3a82b",
            "c9fc2aab0f9d432e88a7ffc09550541f",
            "d93af4f81fee4f88baa05e93c1205c2a"
          ]
        },
        "outputId": "7dec67ab-af84-4a74-ea04-4e989fa7a869"
      },
      "source": [
        "model_url = weights.weight_url['{:s}_{:s}'.format(net_model,train_db)]\n",
        "net = getattr(fornet,net_model)().eval().to(device)\n",
        "net.load_state_dict(load_url(model_url,map_location=device,check_hash=True))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b4-6ed6700e.pth\" to /root/.cache/torch/hub/checkpoints/efficientnet-b4-6ed6700e.pth\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "43ae32fff7824a26bc6db60d66dd7bba",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=77999237.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Loaded pretrained weights for efficientnet-b4\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://f002.backblazeb2.com/file/icpr2020/EfficientNetAutoAttB4_DFDC_bestval-72ed969b2a395fffe11a0d5bf0a635e7260ba2588c28683630d97ff7153389fc.pth\" to /root/.cache/torch/hub/checkpoints/EfficientNetAutoAttB4_DFDC_bestval-72ed969b2a395fffe11a0d5bf0a635e7260ba2588c28683630d97ff7153389fc.pth\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e02962be78b3407dbbc6434485d509c8",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=35500829.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<All keys matched successfully>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sJD4-cmNwzSw"
      },
      "source": [
        "transf = utils.get_transformer(face_policy, face_size, net.get_normalizer(), train=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6jDS1Gs6wzSx"
      },
      "source": [
        "facedet = BlazeFace().to(device)\n",
        "facedet.load_weights(\"../blazeface/blazeface.pth\")\n",
        "facedet.load_anchors(\"../blazeface/anchors.npy\")\n",
        "videoreader = VideoReader(verbose=False)\n",
        "video_read_fn = lambda x: videoreader.read_frames(x, num_frames=frames_per_video)\n",
        "face_extractor = FaceExtractor(video_read_fn=video_read_fn,facedet=facedet)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l37M5qzmwzSx"
      },
      "source": [
        "## Detect faces"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m0vezIhiwzSy"
      },
      "source": [
        "vid_real_faces = face_extractor.process_video('samples/lynaeydofd.mp4')\n",
        "vid_fake_faces = face_extractor.process_video('samples/mqzvfufzoq.mp4')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EegInRmbwzS0"
      },
      "source": [
        "im_real_face = vid_real_faces[0]['faces'][0]\n",
        "im_fake_face = vid_fake_faces[0]['faces'][0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bXdk2XqvwzS0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "outputId": "4941c21c-a8ae-4be5-c38f-2ebbe46d0f46"
      },
      "source": [
        "fig,ax = plt.subplots(1,2,figsize=(8,4))\n",
        "\n",
        "ax[0].imshow(im_real_face)\n",
        "ax[0].set_title('REAL')\n",
        "\n",
        "ax[1].imshow(im_fake_face)\n",
        "ax[1].set_title('FAKE');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 576x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iy6zrfZgwzS1"
      },
      "source": [
        "## Predict scores for each frame"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tE_xhFoOwzS1"
      },
      "source": [
        "# For each frame, we consider the face with the highest confidence score found by BlazeFace (= frame['faces'][0])\n",
        "faces_real_t = torch.stack( [ transf(image=frame['faces'][0])['image'] for frame in vid_real_faces if len(frame['faces'])] )\n",
        "faces_fake_t = torch.stack( [ transf(image=frame['faces'][0])['image'] for frame in vid_fake_faces if len(frame['faces'])] )\n",
        "\n",
        "with torch.no_grad():\n",
        "    faces_real_pred = net(faces_real_t.to(device)).cpu().numpy().flatten()\n",
        "    faces_fake_pred = net(faces_fake_t.to(device)).cpu().numpy().flatten()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IYX_2NqswzS1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "outputId": "f0e21873-0908-416a-c31f-c26771b2e974"
      },
      "source": [
        "fig,ax = plt.subplots(1,2,figsize=(12,4))\n",
        "\n",
        "ax[0].stem([f['frame_idx'] for f in vid_real_faces if len(f['faces'])],expit(faces_real_pred),use_line_collection=True)\n",
        "ax[0].set_title('REAL')\n",
        "ax[0].set_xlabel('Frame')\n",
        "ax[0].set_ylabel('Score')\n",
        "ax[0].set_ylim([0,1])\n",
        "ax[0].grid(True)\n",
        "\n",
        "ax[1].stem([f['frame_idx'] for f in vid_fake_faces if len(f['faces'])],expit(faces_fake_pred),use_line_collection=True)\n",
        "ax[1].set_title('FAKE')\n",
        "ax[1].set_xlabel('Frame')\n",
        "ax[1].set_ylabel('Score')\n",
        "ax[1].set_ylim([0,1])\n",
        "ax[1].set_yticks([0,1],['REAL','FAKE']);"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: MatplotlibDeprecationWarning: Passing the minor parameter of set_yticks() positionally is deprecated since Matplotlib 3.2; the parameter will become keyword-only two minor releases later.\n",
            "  from ipykernel import kernelapp as app\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 864x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4sBFWd4XwzS2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2b5353cd-163a-4cb9-884d-fa00c5d16277"
      },
      "source": [
        "\"\"\"\n",
        "Print average scores.\n",
        "An average score close to 0 predicts REAL. An average score close to 1 predicts FAKE.\n",
        "\"\"\"\n",
        "print('Average score for REAL video: {:.4f}'.format(expit(faces_real_pred.mean())))\n",
        "print('Average score for FAKE face: {:.4f}'.format(expit(faces_fake_pred.mean())))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Average score for REAL video: 0.0061\n",
            "Average score for FAKE face: 0.9996\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CuM8dZbvwzS2"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}