neuralchen-SimSwap/train.ipynb

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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "train.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#Training Demo\n",
        "This is a simple example for training the SimSwap 224*224 with VGGFace2-224.\n",
        "\n",
        "Code path: https://github.com/neuralchen/SimSwap\n",
        "If you like the SimSwap project, please star it!\n",
        "Paper path: https://arxiv.org/pdf/2106.06340v1.pdf or https://dl.acm.org/doi/10.1145/3394171.3413630"
      ],
      "metadata": {
        "id": "fC7QoKePuJWu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!nvidia-smi"
      ],
      "metadata": {
        "id": "J8WrNaQHuUGC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Installation\n",
        "All file changes made by this notebook are temporary. You can try to mount your own google drive to store files if you want."
      ],
      "metadata": {
        "id": "Z6BtQIgWuoqt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Get Scripts"
      ],
      "metadata": {
        "id": "wdQJ9d8N8Tnf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/neuralchen/SimSwap\n",
        "!cd SimSwap && git pull"
      ],
      "metadata": {
        "id": "9jZWwt97uvIe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Install Blocks"
      ],
      "metadata": {
        "id": "ATLrrbso8Y-Y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install googledrivedownloader\n",
        "!pip install timm\n",
        "!wget -P SimSwap/arcface_model https://github.com/neuralchen/SimSwap/releases/download/1.0/arcface_checkpoint.tar"
      ],
      "metadata": {
        "id": "rwvbPhtOvZAL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Download the Training Dataset\n",
        "We employ the cropped VGGFace2-224 dataset for this toy training demo.\n",
        "\n",
        "You can download the dataset from our google driver https://drive.google.com/file/d/19pWvdEHS-CEG6tW3PdxdtZ5QEymVjImc/view?usp=sharing\n",
        "\n",
        "***Please check the dataset in dir /content/TrainingData***\n",
        "\n",
        "***If dataset already exists in /content/TrainingData, please do not run blow scripts!***\n"
      ],
      "metadata": {
        "id": "hleVtHIJ_QUK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget --load-cookies /tmp/cookies.txt \"https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=19pWvdEHS-CEG6tW3PdxdtZ5QEymVjImc' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\\1\\n/p')&id=19pWvdEHS-CEG6tW3PdxdtZ5QEymVjImc\" -O /content/TrainingData/vggface2_crop_arcfacealign_224.tar && rm -rf /tmp/cookies.txt\n",
        "%%cd /content/\n",
        "!tar -xzvf /content/TrainingData/vggface2_crop_arcfacealign_224.tar\n",
        "!rm /content/TrainingData/vggface2_crop_arcfacealign_224.tar"
      ],
      "metadata": {
        "id": "h2tyjBl0Llxp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Trainig\n",
        "Batch size must larger than 1!"
      ],
      "metadata": {
        "id": "o5SNDWzA8LjJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/SimSwap\n",
        "!ls\n",
        "!python train.py --name simswap224_test --gpu_ids 0 --dataset /content/TrainingData/vggface2_crop_arcfacealign_224 --Gdeep False"
      ],
      "metadata": {
        "id": "XCxHa4oW507s"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}