3D_Photo_Inpainting_args.ipynb

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  "metadata": {
    "colab": {
      "name": "3D-Photo-Inpainting-args.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "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/Norod/my-colab-experiments/blob/master/3D_Photo_Inpainting_args.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IY-s3ZpHBeAU",
        "colab_type": "text"
      },
      "source": [
        "**[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting**\n",
        "\n",
        "[project website](https://shihmengli.github.io/3D-Photo-Inpainting/)\n",
        "\n",
        "* Based on the improvements by @Buntworthy \n",
        "* Colab updates by @Norod78\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LPQ0EWxgvMIc",
        "colab_type": "text"
      },
      "source": [
        "- **Prepare environment**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5o-EIMeaghU0",
        "colab_type": "code",
        "outputId": "629a2bb9-e57a-4f8d-97e1-bd9ba8d52459",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "\n",
        "!pip3 install torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.html\n",
        "!pip3 install opencv-python==4.2.0.32\n",
        "!pip3 install vispy==0.6.4\n",
        "!pip3 install moviepy==1.0.2\n",
        "!pip3 install transforms3d==0.3.1\n",
        "!pip3 install networkx==2.3"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "Collecting transforms3d==0.3.1\n",
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            "\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Installing collected packages: networkx\n",
            "  Found existing installation: networkx 2.4\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c-g7AeLMvY0R",
        "colab_type": "text"
      },
      "source": [
        "- **Download script and pretrained model**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cOFIBkWrBlNM",
        "colab_type": "code",
        "outputId": "333c7d3d-5a88-48b7-c82e-1c7a55495904",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "cd /content/"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n-Kl6fo1oows",
        "colab_type": "code",
        "outputId": "881d6b9b-f351-41db-d529-27b70c65868f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 231
        }
      },
      "source": [
        "#!gdown https://drive.google.com/uc?id=1Jmiq1-hSIsHiq_GCcmiNXtrs_T62AY_z\n",
        "!wget 'https://norod78.s3-eu-west-1.amazonaws.com/models/3d-photo-inpainting-master+(2).zip'\n",
        "#!mv \"/content/3d-photo-inpainting-master (2).zip\" \"/content/3d-photo-inpainting-master.zip\"\n",
        "!mv '/content/3d-photo-inpainting-master+(2).zip' '/content/3d-photo-inpainting-master.zip'"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-05-20 03:54:33--  https://norod78.s3-eu-west-1.amazonaws.com/models/3d-photo-inpainting-master+(2).zip\n",
            "Resolving norod78.s3-eu-west-1.amazonaws.com (norod78.s3-eu-west-1.amazonaws.com)... 52.218.84.211\n",
            "Connecting to norod78.s3-eu-west-1.amazonaws.com (norod78.s3-eu-west-1.amazonaws.com)|52.218.84.211|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 464001543 (443M) [application/zip]\n",
            "Saving to: ‘3d-photo-inpainting-master+(2).zip’\n",
            "\n",
            "3d-photo-inpainting 100%[===================>] 442.51M  11.8MB/s    in 40s     \n",
            "\n",
            "2020-05-20 03:55:15 (11.1 MB/s) - ‘3d-photo-inpainting-master+(2).zip’ saved [464001543/464001543]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "seX7gKalBPiH",
        "colab_type": "code",
        "outputId": "ced853f7-6ae0-47a0-e28e-9293a994e504",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 476
        }
      },
      "source": [
        "!unzip 3d-photo-inpainting-master.zip"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  3d-photo-inpainting-master.zip\n",
            "   creating: 3d-photo-inpainting-master/\n",
            "  inflating: 3d-photo-inpainting-master/LICENSE  \n",
            "   creating: 3d-photo-inpainting-master/MiDaS/\n",
            "  inflating: 3d-photo-inpainting-master/MiDaS/MiDaS_utils.py  \n",
            "  inflating: 3d-photo-inpainting-master/MiDaS/monodepth_net.py  \n",
            "  inflating: 3d-photo-inpainting-master/MiDaS/run.py  \n",
            "  inflating: 3d-photo-inpainting-master/MiDaS/model.pt  \n",
            "   creating: 3d-photo-inpainting-master/depth/\n",
            "  inflating: 3d-photo-inpainting-master/depth/moon.npy  \n",
            "   creating: 3d-photo-inpainting-master/image/\n",
            "  inflating: 3d-photo-inpainting-master/image/moon.jpg  \n",
            "  inflating: 3d-photo-inpainting-master/mesh_tools.py  \n",
            "  inflating: 3d-photo-inpainting-master/networks.py  \n",
            "   creating: 3d-photo-inpainting-master/misc/\n",
            "  inflating: 3d-photo-inpainting-master/misc/moon_40.gif  \n",
            "  inflating: 3d-photo-inpainting-master/README.md  \n",
            "  inflating: 3d-photo-inpainting-master/main.py  \n",
            "   creating: 3d-photo-inpainting-master/video/\n",
            "   creating: 3d-photo-inpainting-master/checkpoints/\n",
            "  inflating: 3d-photo-inpainting-master/checkpoints/color-model.pth  \n",
            "  inflating: 3d-photo-inpainting-master/checkpoints/depth-model.pth  \n",
            "  inflating: 3d-photo-inpainting-master/checkpoints/edge-model.pth  \n",
            "  inflating: 3d-photo-inpainting-master/utils.py  \n",
            "  inflating: 3d-photo-inpainting-master/mesh.py  \n",
            "  inflating: 3d-photo-inpainting-master/argument.yml  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i5-MWEjfBjYx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "rm 3d-photo-inpainting-master.zip"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ur_o4jPCyp5L",
        "colab_type": "code",
        "outputId": "6e4948eb-d05b-4546-9585-b35de14c217c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "cd 3d-photo-inpainting-master"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/3d-photo-inpainting-master\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vmX2ZWus9UrU",
        "colab_type": "code",
        "outputId": "f4c7b102-ad31-40d9-b5f8-f17cf1f37063",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        }
      },
      "source": [
        "!pwd\n",
        "!ls -latr ./checkpoints/"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/3d-photo-inpainting-master\n",
            "total 447844\n",
            "-rw-r--r-- 1 root root  45974122 Apr  9 16:55 edge-model.pth\n",
            "-rw-r--r-- 1 root root 206272258 Apr  9 16:55 depth-model.pth\n",
            "-rw-r--r-- 1 root root 206331633 Apr  9 16:55 color-model.pth\n",
            "drwxr-xr-x 2 root root      4096 Apr  9 19:42 .\n",
            "drwxrwxr-x 8 root root      4096 Apr 10 00:19 ..\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dz0ESEU0nmA0",
        "colab_type": "text"
      },
      "source": [
        "- **Please upload `.jpg` files to `/content/3d-photo-inpainting-master/image/`**\n",
        "\n",
        "  - ![Figure](https://drive.google.com/uc?id=1HyLrIu16RTwP14mfYt4fcgREVs9VlU7R)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IYC4c6r6vjVh",
        "colab_type": "text"
      },
      "source": [
        "- **Execute the 3D Photo Inpainting**\n",
        "  - Note: The 3D photo generation process usually takes about 2-3 minutes or more depending on the available computing resources."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XLfE-6atlkeA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%%sh\n",
        "cat <<EOT >> argument.yml\n",
        "depth_edge_model_ckpt: checkpoints/edge-model.pth\n",
        "depth_feat_model_ckpt: checkpoints/depth-model.pth\n",
        "rgb_feat_model_ckpt: checkpoints/color-model.pth\n",
        "MiDaS_model_ckpt: MiDaS/model.pt\n",
        "fps: 60\n",
        "num_frames: 540 #240\n",
        "x_shift_range: -0.03\n",
        "y_shift_range: -0.00\n",
        "z_shift_range: -0.07\n",
        "specific: ''\n",
        "longer_side_len: 960\n",
        "src_folder: image\n",
        "depth_folder: depth\n",
        "mesh_folder: mesh\n",
        "video_folder: video\n",
        "load_ply: False\n",
        "save_ply: False\n",
        "inference_video: True\n",
        "gpu_ids: 0\n",
        "img_format: '.jpg'\n",
        "depth_threshold: 2.4 #1.2 #0.04\n",
        "ext_edge_threshold: 0.002\n",
        "sparse_iter: 5\n",
        "filter_size: [7, 7, 5, 5, 5]\n",
        "sigma_s: 4.0\n",
        "sigma_r: 0.5\n",
        "redundant_number: 12\n",
        "background_thickness: 180 #140 #70\n",
        "context_thickness: 220 #180 # 140\n",
        "background_thickness_2: 70\n",
        "context_thickness_2: 70\n",
        "discount_factor: 1.00\n",
        "log_depth: True\n",
        "largest_size: 1024 #512\n",
        "depth_edge_dilate: 10\n",
        "depth_edge_dilate_2: 5\n",
        "extrapolate_border: True\n",
        "extrapolation_thickness: 100 #80 #60\n",
        "repeat_inpaint_edge: True\n",
        "crop_border: False\n",
        "EOT"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zo5uPQuBgw2j",
        "colab_type": "code",
        "outputId": "b3da9e3e-0097-4eba-fa33-b7f2db4db694",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!python main.py --config argument.yml"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\r  0% 0/1 [00:00<?, ?it/s]Current Source ==>  moon\n",
            "initialize\n",
            "device: cpu\n",
            "start processing\n",
            "  processing image/moon.jpg (1/1)\n",
            "torch.Size([1, 3, 384, 384])\n",
            "finished\n",
            "Start Running 3D_Photo ...\n",
            "53.13010235415598\n",
            "Moviepy - Building video video/moon_straight-line.mp4.\n",
            "Moviepy - Writing video video/moon_straight-line.mp4\n",
            "\n",
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            "Moviepy - Done !\n",
            "Moviepy - video ready video/moon_straight-line.mp4\n",
            "Moviepy - Building video video/moon_swing.mp4.\n",
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            "\n",
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            "Moviepy - Done !\n",
            "Moviepy - video ready video/moon_swing.mp4\n",
            "100% 1/1 [03:50<00:00, 230.96s/it]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wPvkMT0msIJB",
        "colab_type": "text"
      },
      "source": [
        "- **The results are stored in the following directories**\n",
        "  - Corresponding depth map estimated by [MiDaS](https://github.com/intel-isl/MiDaS.git) \n",
        "      - E.g. ```depth/moon.npy```\n",
        "  - Inpainted 3D mesh\n",
        "      - E.g. ```mesh/moon.ply```\n",
        "  - Rendered videos with circular motion\n",
        "      - E.g. ```mesh/moon.mp4```\n",
        "    \n",
        "    ![](https://drive.google.com/uc?id=1ovw4cX0R7Bn0WoC0JF42MW0nEx8mBPYG)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xlRceMM-kV1I",
        "colab_type": "code",
        "outputId": "dd3e0102-f322-4d19-8058-4e70b699cf08",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 944
        }
      },
      "source": [
        "%matplotlib inline \n",
        "from matplotlib import pyplot as plt\n",
        "from matplotlib.pyplot import imshow\n",
        "from PIL import Image\n",
        "import numpy as np\n",
        "import os\n",
        "\n",
        "%cd /content/3d-photo-inpainting-master/depth\n",
        "\n",
        "files = [i for i in os.listdir(\"./\") if i.endswith(\"npy\")]\n",
        "for file in files:\n",
        "  data = np.load(file)\n",
        "  plt.imshow(data, interpolation='nearest')\n",
        "  plt.savefig(file+str('-fig-depth.jpg'),bbox_inches='tight')\n",
        "  plt.show()  \n",
        "  img = Image.fromarray(255.0*data).convert('RGB')\n",
        "  display(img)\n",
        "  img.save(file+str('-depth.jpg'))\n",
        "  img = Image.fromarray(255.0*(1.0-data)).convert('RGB')\n",
        "  img.save(file+str('-inverse-depth.jpg'))\n",
        "\n",
        "%cd /content/3d-photo-inpainting-master"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/3d-photo-inpainting-master/depth\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=640x640 at 0x7FEB49E05BE0>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "/content/3d-photo-inpainting-master\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xxNwI30jwTZ4",
        "colab_type": "code",
        "outputId": "f3fd1627-1407-4c4e-caa5-89d47754d685",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "!zip ./depth-maps.zip ./depth/*.jpg"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  adding: depth/moon.npy-depth.jpg (deflated 39%)\n",
            "  adding: depth/moon.npy-fig-depth.jpg (deflated 4%)\n",
            "  adding: depth/moon.npy-inverse-depth.jpg (deflated 39%)\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}