PIFuHD_Demo.ipynb

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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/jonbaer/googlecolab/blob/master/PIFuHD_Demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eclLG4xlJRIE"
      },
      "source": [
        "# PIFuHD Demo: https://shunsukesaito.github.io/PIFuHD/\n",
        "\n",
        "![](https://shunsukesaito.github.io/PIFuHD/resources/images/pifuhd.gif)\n",
        "\n",
        "Made by [![Follow](https://img.shields.io/twitter/follow/psyth91?style=social)](https://twitter.com/psyth91)\n",
        "\n",
        "To see how the model works, visit the project repository.\n",
        "\n",
        "[![GitHub stars](https://img.shields.io/github/stars/facebookresearch/pifuhd?style=social)](https://github.com/facebookresearch/pifuhd)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wmFdsTvLKtBO"
      },
      "source": [
        "## Note\n",
        "Make sure that your runtime type is 'Python 3 with GPU acceleration'. To do so, go to Edit > Notebook settings > Hardware Accelerator > Select \"GPU\"."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1TfPAtL4CyZw"
      },
      "source": [
        "## More Info\n",
        "- Paper: https://arxiv.org/pdf/2004.00452.pdf\n",
        "- Repo: https://github.com/facebookresearch/pifuhd\n",
        "- Project Page: https://shunsukesaito.github.io/PIFuHD/\n",
        "- 1-minute/5-minute Presentation (see below)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5DDpqpf2BABR",
        "outputId": "679345c3-b5b3-481a-f293-ea904727c183",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 930
        }
      },
      "source": [
        "import IPython\n",
        "IPython.display.HTML('<h2>1-Minute Presentation</h2><iframe width=\"720\" height=\"405\" src=\"https://www.youtube.com/embed/-1XYTmm8HhE\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe><br><h2>5-Minute Presentation</h2><iframe width=\"720\" height=\"405\" src=\"https://www.youtube.com/embed/uEDqCxvF5yc\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "<h2>1-Minute Presentation</h2><iframe width=\"720\" height=\"405\" src=\"https://www.youtube.com/embed/-1XYTmm8HhE\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe><br><h2>5-Minute Presentation</h2><iframe width=\"720\" height=\"405\" src=\"https://www.youtube.com/embed/uEDqCxvF5yc\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>"
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          "metadata": {
            "tags": []
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          "execution_count": 9
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8vZaAyhUJ9QC"
      },
      "source": [
        "## Requirements\n",
        "- Python 3\n",
        "- PyTorch tested on 1.4.0\n",
        "- json\n",
        "- PIL\n",
        "- skimage\n",
        "- tqdm\n",
        "- numpy\n",
        "- cv2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sfPDep8LlP_I"
      },
      "source": [
        "## Help! I'm new to Google Colab\n",
        "\n",
        "You can check out the following youtube video on how to upload your own picture and run PIFuHD. **Note that with new update, you can upload your own picture more easily with GUI down below.**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zaMP1EitljaA",
        "outputId": "bd90dfb6-f34f-49eb-9986-52772844d82b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        }
      },
      "source": [
        "import IPython\n",
        "IPython.display.HTML('<iframe width=\"720\" height=\"405\" src=\"https://www.youtube.com/embed/LWDGR5v3-3o\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<iframe width=\"720\" height=\"405\" src=\"https://www.youtube.com/embed/LWDGR5v3-3o\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>"
            ],
            "text/plain": [
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          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WYhlsDkg1Hwb"
      },
      "source": [
        "## Clone PIFuHD repository"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BmpEwdOd1G1z",
        "outputId": "01958684-c01a-4c72-e41e-04211fc4d81c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "!git clone https://github.com/facebookresearch/pifuhd"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'pifuhd'...\n",
            "remote: Enumerating objects: 4, done.\u001b[K\n",
            "remote: Counting objects: 100% (4/4), done.\u001b[K\n",
            "remote: Compressing objects: 100% (4/4), done.\u001b[K\n",
            "remote: Total 195 (delta 0), reused 1 (delta 0), pack-reused 191\u001b[K\n",
            "Receiving objects: 100% (195/195), 399.23 KiB | 14.26 MiB/s, done.\n",
            "Resolving deltas: 100% (93/93), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QvQm-A8ESKb2"
      },
      "source": [
        "## Configure input data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xvle9T10fB6g",
        "outputId": "b26fdaf3-e4bd-4e4f-a740-05e5eca2fb4a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "cd /content/pifuhd/sample_images"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/pifuhd/sample_images\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9SI7Ye1JfIim"
      },
      "source": [
        "**If you want to upload your own picture, run the next cell**. Otherwise, go to the next next cell. Currently PNG, JPEG files are supported."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jaV_7Yi8fM-B",
        "outputId": "26da7577-0893-4ee2-dddc-0ab7690349ce",
        "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": 218
        }
      },
      "source": [
        "from google.colab import files\n",
        "\n",
        "filename = list(files.upload().keys())[0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-a60dafc8-5613-4f14-a56a-ed285e448ee9\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-a60dafc8-5613-4f14-a56a-ed285e448ee9\">\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": "error",
          "ename": "IndexError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-3-57e3bcd473cf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mfiles\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mIndexError\u001b[0m: list index out of range"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AEzmmB01SOZp"
      },
      "source": [
        "import os\n",
        "\n",
        "try:\n",
        "  image_path = '/content/pifuhd/sample_images/%s' % filename\n",
        "except:\n",
        "  image_path = '/content/pifuhd/sample_images/test.png' # example image\n",
        "image_dir = os.path.dirname(image_path)\n",
        "file_name = os.path.splitext(os.path.basename(image_path))[0]\n",
        "\n",
        "# output pathes\n",
        "obj_path = '/content/pifuhd/results/pifuhd_final/recon/result_%s_256.obj' % file_name\n",
        "out_img_path = '/content/pifuhd/results/pifuhd_final/recon/result_%s_256.png' % file_name\n",
        "video_path = '/content/pifuhd/results/pifuhd_final/recon/result_%s_256.mp4' % file_name\n",
        "video_display_path = '/content/pifuhd/results/pifuhd_final/result_%s_256_display.mp4' % file_name"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "896EC7iQfXkj",
        "outputId": "44f8144d-8d87-4792-b774-47b4098335a8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "cd /content"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JbVmda9J5TDL"
      },
      "source": [
        "## Preprocess (for cropping image)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UtMjWGNU5STe",
        "outputId": "9acaa268-0b3c-4ebe-af4b-5cf4bec328a1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "!git clone https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'lightweight-human-pose-estimation.pytorch'...\n",
            "remote: Enumerating objects: 98, done.\u001b[K\n",
            "remote: Total 98 (delta 0), reused 0 (delta 0), pack-reused 98\u001b[K\n",
            "Unpacking objects: 100% (98/98), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F-vYklhI5dab",
        "outputId": "ca2490ab-8313-4c73-9099-95780474c34e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "cd /content/lightweight-human-pose-estimation.pytorch/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/lightweight-human-pose-estimation.pytorch\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dRod9SOu77I6",
        "outputId": "b3066e45-54fd-41ef-8b8f-4d7f15b2b566",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "!wget https://download.01.org/opencv/openvino_training_extensions/models/human_pose_estimation/checkpoint_iter_370000.pth"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-09-19 01:17:55--  https://download.01.org/opencv/openvino_training_extensions/models/human_pose_estimation/checkpoint_iter_370000.pth\n",
            "Resolving download.01.org (download.01.org)... 184.86.202.186, 2600:1409:12:38c::4b21, 2600:1409:12:3b3::4b21\n",
            "Connecting to download.01.org (download.01.org)|184.86.202.186|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 87959810 (84M) [application/octet-stream]\n",
            "Saving to: ‘checkpoint_iter_370000.pth’\n",
            "\n",
            "checkpoint_iter_370 100%[===================>]  83.88M  93.8MB/s    in 0.9s    \n",
            "\n",
            "2020-09-19 01:17:56 (93.8 MB/s) - ‘checkpoint_iter_370000.pth’ saved [87959810/87959810]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PdRcDXe38lHB"
      },
      "source": [
        "import torch\n",
        "import cv2\n",
        "import numpy as np\n",
        "from models.with_mobilenet import PoseEstimationWithMobileNet\n",
        "from modules.keypoints import extract_keypoints, group_keypoints\n",
        "from modules.load_state import load_state\n",
        "from modules.pose import Pose, track_poses\n",
        "import demo\n",
        "\n",
        "def get_rect(net, images, height_size):\n",
        "    net = net.eval()\n",
        "\n",
        "    stride = 8\n",
        "    upsample_ratio = 4\n",
        "    num_keypoints = Pose.num_kpts\n",
        "    previous_poses = []\n",
        "    delay = 33\n",
        "    for image in images:\n",
        "        rect_path = image.replace('.%s' % (image.split('.')[-1]), '_rect.txt')\n",
        "        img = cv2.imread(image, cv2.IMREAD_COLOR)\n",
        "        orig_img = img.copy()\n",
        "        orig_img = img.copy()\n",
        "        heatmaps, pafs, scale, pad = demo.infer_fast(net, img, height_size, stride, upsample_ratio, cpu=False)\n",
        "\n",
        "        total_keypoints_num = 0\n",
        "        all_keypoints_by_type = []\n",
        "        for kpt_idx in range(num_keypoints):  # 19th for bg\n",
        "            total_keypoints_num += extract_keypoints(heatmaps[:, :, kpt_idx], all_keypoints_by_type, total_keypoints_num)\n",
        "\n",
        "        pose_entries, all_keypoints = group_keypoints(all_keypoints_by_type, pafs, demo=True)\n",
        "        for kpt_id in range(all_keypoints.shape[0]):\n",
        "            all_keypoints[kpt_id, 0] = (all_keypoints[kpt_id, 0] * stride / upsample_ratio - pad[1]) / scale\n",
        "            all_keypoints[kpt_id, 1] = (all_keypoints[kpt_id, 1] * stride / upsample_ratio - pad[0]) / scale\n",
        "        current_poses = []\n",
        "\n",
        "        rects = []\n",
        "        for n in range(len(pose_entries)):\n",
        "            if len(pose_entries[n]) == 0:\n",
        "                continue\n",
        "            pose_keypoints = np.ones((num_keypoints, 2), dtype=np.int32) * -1\n",
        "            valid_keypoints = []\n",
        "            for kpt_id in range(num_keypoints):\n",
        "                if pose_entries[n][kpt_id] != -1.0:  # keypoint was found\n",
        "                    pose_keypoints[kpt_id, 0] = int(all_keypoints[int(pose_entries[n][kpt_id]), 0])\n",
        "                    pose_keypoints[kpt_id, 1] = int(all_keypoints[int(pose_entries[n][kpt_id]), 1])\n",
        "                    valid_keypoints.append([pose_keypoints[kpt_id, 0], pose_keypoints[kpt_id, 1]])\n",
        "            valid_keypoints = np.array(valid_keypoints)\n",
        "            \n",
        "            if pose_entries[n][10] != -1.0 or pose_entries[n][13] != -1.0:\n",
        "              pmin = valid_keypoints.min(0)\n",
        "              pmax = valid_keypoints.max(0)\n",
        "\n",
        "              center = (0.5 * (pmax[:2] + pmin[:2])).astype(np.int)\n",
        "              radius = int(0.65 * max(pmax[0]-pmin[0], pmax[1]-pmin[1]))\n",
        "            elif pose_entries[n][10] == -1.0 and pose_entries[n][13] == -1.0 and pose_entries[n][8] != -1.0 and pose_entries[n][11] != -1.0:\n",
        "              # if leg is missing, use pelvis to get cropping\n",
        "              center = (0.5 * (pose_keypoints[8] + pose_keypoints[11])).astype(np.int)\n",
        "              radius = int(1.45*np.sqrt(((center[None,:] - valid_keypoints)**2).sum(1)).max(0))\n",
        "              center[1] += int(0.05*radius)\n",
        "            else:\n",
        "              center = np.array([img.shape[1]//2,img.shape[0]//2])\n",
        "              radius = max(img.shape[1]//2,img.shape[0]//2)\n",
        "\n",
        "            x1 = center[0] - radius\n",
        "            y1 = center[1] - radius\n",
        "\n",
        "            rects.append([x1, y1, 2*radius, 2*radius])\n",
        "\n",
        "        np.savetxt(rect_path, np.array(rects), fmt='%d')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M6cGZD6f6IaY"
      },
      "source": [
        "net = PoseEstimationWithMobileNet()\n",
        "checkpoint = torch.load('checkpoint_iter_370000.pth', map_location='cpu')\n",
        "load_state(net, checkpoint)\n",
        "\n",
        "get_rect(net.cuda(), [image_path], 512)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y0rgMInwTt0s"
      },
      "source": [
        "## Download the Pretrained Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UrIcZweSNRFI",
        "outputId": "4ad01277-741a-4e4c-d127-88cee1327cd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "cd /content/pifuhd/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/pifuhd\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k3jjm6HuQRk8",
        "outputId": "fb4a8f2d-a5f2-4765-d892-631ff57825cc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "!sh ./scripts/download_trained_model.sh"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "+ mkdir -p checkpoints\n",
            "+ cd checkpoints\n",
            "+ wget https://dl.fbaipublicfiles.com/pifuhd/checkpoints/pifuhd.pt pifuhd.pt\n",
            "--2020-09-19 01:18:11--  https://dl.fbaipublicfiles.com/pifuhd/checkpoints/pifuhd.pt\n",
            "Resolving dl.fbaipublicfiles.com (dl.fbaipublicfiles.com)... 172.67.9.4, 104.22.75.142, 104.22.74.142, ...\n",
            "Connecting to dl.fbaipublicfiles.com (dl.fbaipublicfiles.com)|172.67.9.4|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1548375177 (1.4G) [application/octet-stream]\n",
            "Saving to: ‘pifuhd.pt’\n",
            "\n",
            "pifuhd.pt           100%[===================>]   1.44G  81.3MB/s    in 21s     \n",
            "\n",
            "2020-09-19 01:18:33 (71.7 MB/s) - ‘pifuhd.pt’ saved [1548375177/1548375177]\n",
            "\n",
            "--2020-09-19 01:18:33--  http://pifuhd.pt/\n",
            "Resolving pifuhd.pt (pifuhd.pt)... failed: Name or service not known.\n",
            "wget: unable to resolve host address ‘pifuhd.pt’\n",
            "FINISHED --2020-09-19 01:18:33--\n",
            "Total wall clock time: 21s\n",
            "Downloaded: 1 files, 1.4G in 21s (71.7 MB/s)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6heKcA-0QEBw"
      },
      "source": [
        "## Run PIFuHD!\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5995t2PnQTmG",
        "outputId": "cd98167d-a3cc-4865-eaff-c8749d867d91",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "# Warning: all images with the corresponding rectangle files under -i will be processed. \n",
        "!python -m apps.simple_test -r 256 --use_rect -i $image_dir\n",
        "\n",
        "# seems that 256 is the maximum resolution that can fit into Google Colab. \n",
        "# If you want to reconstruct a higher-resolution mesh, please try with your own machine. "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Resuming from  ./checkpoints/pifuhd.pt\n",
            "Warning: opt is overwritten.\n",
            "test data size:  1\n",
            "initialize network with normal\n",
            "initialize network with normal\n",
            "generate mesh (test) ...\n",
            "  0% 0/1 [00:00<?, ?it/s]./results/pifuhd_final/recon/result_test_256.obj\n",
            "100% 1/1 [00:05<00:00,  5.90s/it]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EUZ8Nt5rNFXZ"
      },
      "source": [
        "## Render the result"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5xp5s5uiOiDv",
        "outputId": "28cb31b4-70ff-4689-d9a4-616b14f5b19d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "# This command takes a few minutes\n",
        "!pip install pytorch3d"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting pytorch3d\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7b/92/12ced831dbf6dfd6df0cd90a38362cc83943c02a1e3745633906431acb4d/pytorch3d-0.2.5-cp36-cp36m-manylinux1_x86_64.whl (20.6MB)\n",
            "\u001b[K     |████████████████████████████████| 20.6MB 11.6MB/s \n",
            "\u001b[?25hRequirement already satisfied: torchvision>=0.4 in /usr/local/lib/python3.6/dist-packages (from pytorch3d) (0.7.0+cu101)\n",
            "Collecting fvcore\n",
            "  Downloading https://files.pythonhosted.org/packages/02/fb/98cd73bc5d37c3bdeb879c7bbc9e248752fe0d7319f9b8794765a0f2385f/fvcore-0.1.2.post20200912.tar.gz\n",
            "Requirement already satisfied: torch==1.6.0 in /usr/local/lib/python3.6/dist-packages (from torchvision>=0.4->pytorch3d) (1.6.0+cu101)\n",
            "Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision>=0.4->pytorch3d) (7.0.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torchvision>=0.4->pytorch3d) (1.18.5)\n",
            "Collecting yacs>=0.1.6\n",
            "  Downloading https://files.pythonhosted.org/packages/38/4f/fe9a4d472aa867878ce3bb7efb16654c5d63672b86dc0e6e953a67018433/yacs-0.1.8-py3-none-any.whl\n",
            "Collecting pyyaml>=5.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/64/c2/b80047c7ac2478f9501676c988a5411ed5572f35d1beff9cae07d321512c/PyYAML-5.3.1.tar.gz (269kB)\n",
            "\u001b[K     |████████████████████████████████| 276kB 55.5MB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from fvcore->pytorch3d) (4.41.1)\n",
            "Collecting portalocker\n",
            "  Downloading https://files.pythonhosted.org/packages/89/a6/3814b7107e0788040870e8825eebf214d72166adf656ba7d4bf14759a06a/portalocker-2.0.0-py2.py3-none-any.whl\n",
            "Requirement already satisfied: termcolor>=1.1 in /usr/local/lib/python3.6/dist-packages (from fvcore->pytorch3d) (1.1.0)\n",
            "Requirement already satisfied: tabulate in /usr/local/lib/python3.6/dist-packages (from fvcore->pytorch3d) (0.8.7)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch==1.6.0->torchvision>=0.4->pytorch3d) (0.16.0)\n",
            "Building wheels for collected packages: fvcore, pyyaml\n",
            "  Building wheel for fvcore (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fvcore: filename=fvcore-0.1.2.post20200912-cp36-none-any.whl size=43996 sha256=c909924514060594f33d2b89eebab272ec41521930d676fe13df615db185ed8e\n",
            "  Stored in directory: /root/.cache/pip/wheels/34/41/7b/f0a0b5800bea0474ae553342bde52093fdd5852764463aa2ec\n",
            "  Building wheel for pyyaml (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyyaml: filename=PyYAML-5.3.1-cp36-cp36m-linux_x86_64.whl size=44619 sha256=053e3afa08f155ed0d0df1ce1fabb493c4351298b73a2b810ca85b8cceaf8800\n",
            "  Stored in directory: /root/.cache/pip/wheels/a7/c1/ea/cf5bd31012e735dc1dfea3131a2d5eae7978b251083d6247bd\n",
            "Successfully built fvcore pyyaml\n",
            "Installing collected packages: pyyaml, yacs, portalocker, fvcore, pytorch3d\n",
            "  Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed fvcore-0.1.2.post20200912 portalocker-2.0.0 pytorch3d-0.2.5 pyyaml-5.3.1 yacs-0.1.8\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "afwL_-ROCmDf",
        "outputId": "e32a93f7-6275-4662-a6a1-1dd5921999c5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320,
          "referenced_widgets": [
            "ed606237efeb4c6aac395ae66bf755bd",
            "0c6eec5f94a446b6a0c44bd4fc17f9e8",
            "110b4127756e407586dde1916fdcd75c",
            "bb1ef22ac0734732a79c8fef3816c87a",
            "ce5157aadfd840338268188170301c5f",
            "7d5743f6e2134b9fbe6244e473c4b453",
            "4777d5060ba8470697ded02191b1e260",
            "99fceff3830547e9b75fb29571dfe51c"
          ]
        }
      },
      "source": [
        "from lib.colab_util import generate_video_from_obj, set_renderer, video\n",
        "\n",
        "renderer = set_renderer()\n",
        "generate_video_from_obj(obj_path, out_img_path, video_path, renderer)\n",
        "\n",
        "# we cannot play a mp4 video generated by cv2\n",
        "!ffmpeg -i $video_path -vcodec libx264 $video_display_path -y -loglevel quiet\n",
        "video(video_display_path)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ed606237efeb4c6aac395ae66bf755bd",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=90.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<video width=500 controls loop> <source 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type=\"video/mp4\"></video>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eUEXAvcvkVYV"
      },
      "source": [
        "## Tips for Inputs: My results are broken!\n",
        "\n",
        "(Kudos to those who share results on twitter with [#pifuhd](https://twitter.com/search?q=%23pifuhd&src=recent_search_click&f=live) tag!!!!)\n",
        "\n",
        "Due to the limited variation in the training data, your results might be broken sometimes. Here I share some useful tips to get resonable results. \n",
        "\n",
        "*   Use high-res image. The model is trained with 1024x1024 images. Use at least 512x512 with fine-details. Low-res images and JPEG artifacts may result in unsatisfactory results. \n",
        "*   Use an image with a single person. If the image contain multiple people, reconstruction quality is likely degraded.\n",
        "*   Front facing with standing works best (or with fashion pose)\n",
        "*   The entire body is covered within the image. (Note: now missing legs is partially supported)\n",
        "*   Make sure the input image is well lit. Exteremy dark or bright image and strong shadow often create artifacts.\n",
        "*   I recommend nearly parallel camera angle to the ground. High camera height may result in distorted legs or high heels. \n",
        "*   If the background is cluttered, use less complex background or try removing it using https://www.remove.bg/ before processing.\n",
        "*   It's trained with human only. Anime characters may not work well (To my surprise, indeed many people tried it!!).\n",
        "*   Search on twitter with [#pifuhd](https://twitter.com/search?q=%23pifuhd&src=recent_search_click&f=live) tag to get a better sense of what succeeds and what fails. \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u6U0K5CNAO_u"
      },
      "source": [
        "## Share your result! \n",
        "Please share your results with[ #pifuhd](https://twitter.com/search?q=%23pifuhd&src=recent_search_click&f=live) tag on Twitter. Sharing your good/bad results helps and encourages the authors to further push towards producition-quality human digitization at home.\n",
        "**As the tweet buttom below doesn't add the result video automatically, please download the result video above and manually add it to the tweet.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1CBxbdrM9F-9",
        "outputId": "066da2e3-4934-4133-d9fc-525365b49176",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49
        }
      },
      "source": [
        "import IPython\n",
        "IPython.display.HTML('<a href=\"https://twitter.com/intent/tweet?button_hashtag=pifuhd&ref_src=twsrc%5Etfw\" class=\"twitter-hashtag-button\" data-size=\"large\" data-text=\"Google Colab Link: \" data-url=\"https://bit.ly/37sfogZ\" data-show-count=\"false\">Tweet #pifuhd</a><script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>  (Don\\'t forget to add your result to the tweet!)')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<a href=\"https://twitter.com/intent/tweet?button_hashtag=pifuhd&ref_src=twsrc%5Etfw\" class=\"twitter-hashtag-button\" data-size=\"large\" data-text=\"Google Colab Link: \" data-url=\"https://bit.ly/37sfogZ\" data-show-count=\"false\">Tweet #pifuhd</a><script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>  (Don't forget to add your result to the tweet!)"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2d-1pR8UR7PR"
      },
      "source": [
        "## Cool Applications\n",
        "Special thanks to those who play with PIFuHD and came up with many creative applications!! If you made any cool applications, please tweet your demo with [#pifuhd](https://twitter.com/search?q=%23pifuhd&src=recent_search_click&f=live). I'm constantly checking results there.\n",
        "If you need complete texture on the mesh, please try my previous work [PIFu](https://github.com/shunsukesaito/PIFu) as well! It supports 3D reconstruction + texturing from a single image although the geometry quality may not be as good as PIFuHD."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "68JDAYJFSFMV",
        "outputId": "77edbec3-987a-4feb-bc0a-edb1aab173b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "IPython.display.HTML('<h2>Rigging (Mixamo) + Photoreal Rendering (Blender)</h2><blockquote class=\"twitter-tweet\"><p lang=\"pt\" dir=\"ltr\">vcs ainda tem a PACHORRA de me dizer que eu não sei dançar<a href=\"https://twitter.com/hashtag/b3d?src=hash&amp;ref_src=twsrc%5Etfw\">#b3d</a> <a href=\"https://twitter.com/hashtag/pifuhd?src=hash&amp;ref_src=twsrc%5Etfw\">#pifuhd</a> <a href=\"https://t.co/kHCnLh6zxH\">pic.twitter.com/kHCnLh6zxH</a></p>&mdash; lukas arendero (@lukazvd) <a href=\"https://twitter.com/lukazvd/status/1274810484798128131?ref_src=twsrc%5Etfw\">June 21, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script><h2>FaceApp + Rigging (Mixamo)</h2><blockquote class=\"twitter-tweet\"><p lang=\"ja\" dir=\"ltr\">カツラかぶってる自分に見える <a href=\"https://twitter.com/hashtag/pifuhd?src=hash&amp;ref_src=twsrc%5Etfw\">#pifuhd</a> <a href=\"https://t.co/V8o7VduTiG\">pic.twitter.com/V8o7VduTiG</a></p>&mdash; Shuhei Tsuchida (@shuhei2306) <a href=\"https://twitter.com/shuhei2306/status/1274507242910314498?ref_src=twsrc%5Etfw\">June 21, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script><h2>Rigging (Mixamo) + AR (Adobe Aero)</AR><blockquote class=\"twitter-tweet\"><p lang=\"ja\" dir=\"ltr\">写真→PIFuHD→Mixamo→AdobeAeroでサウンド付きARを作成。Zip化してLINEでARコンテンツを共有。<br>写真が1枚あれば簡単にARの3Dアニメーションが作れる時代…凄い。<a href=\"https://twitter.com/hashtag/PIFuHD?src=hash&amp;ref_src=twsrc%5Etfw\">#PIFuHD</a> <a href=\"https://twitter.com/hashtag/AdobeAero?src=hash&amp;ref_src=twsrc%5Etfw\">#AdobeAero</a> <a href=\"https://twitter.com/hashtag/Mixamo?src=hash&amp;ref_src=twsrc%5Etfw\">#Mixamo</a> <a href=\"https://t.co/CbiMi4gZ0K\">pic.twitter.com/CbiMi4gZ0K</a></p>&mdash; モジョン (@mojon1) <a href=\"https://twitter.com/mojon1/status/1273217947872317441?ref_src=twsrc%5Etfw\">June 17, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script><h2>3D Printing</h2><blockquote class=\"twitter-tweet\"><p lang=\"ja\" dir=\"ltr\"><a href=\"https://twitter.com/hashtag/pifuhd?src=hash&amp;ref_src=twsrc%5Etfw\">#pifuhd</a> 楽しい〜<br>小さい自分プリントした <a href=\"https://t.co/4qyWuij0Hs\">pic.twitter.com/4qyWuij0Hs</a></p>&mdash; isb (@vxzxzxzxv) <a href=\"https://twitter.com/vxzxzxzxv/status/1273136266406694913?ref_src=twsrc%5Etfw\">June 17, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>')"
      ],
      "execution_count": null,
      "outputs": [
        {
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              "<h2>Rigging (Mixamo) + Photoreal Rendering (Blender)</h2><blockquote class=\"twitter-tweet\"><p lang=\"pt\" dir=\"ltr\">vcs ainda tem a PACHORRA de me dizer que eu não sei dançar<a href=\"https://twitter.com/hashtag/b3d?src=hash&amp;ref_src=twsrc%5Etfw\">#b3d</a> <a href=\"https://twitter.com/hashtag/pifuhd?src=hash&amp;ref_src=twsrc%5Etfw\">#pifuhd</a> <a href=\"https://t.co/kHCnLh6zxH\">pic.twitter.com/kHCnLh6zxH</a></p>&mdash; lukas arendero (@lukazvd) <a href=\"https://twitter.com/lukazvd/status/1274810484798128131?ref_src=twsrc%5Etfw\">June 21, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script><h2>FaceApp + Rigging (Mixamo)</h2><blockquote class=\"twitter-tweet\"><p lang=\"ja\" dir=\"ltr\">カツラかぶってる自分に見える <a href=\"https://twitter.com/hashtag/pifuhd?src=hash&amp;ref_src=twsrc%5Etfw\">#pifuhd</a> <a href=\"https://t.co/V8o7VduTiG\">pic.twitter.com/V8o7VduTiG</a></p>&mdash; Shuhei Tsuchida (@shuhei2306) <a href=\"https://twitter.com/shuhei2306/status/1274507242910314498?ref_src=twsrc%5Etfw\">June 21, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script><h2>Rigging (Mixamo) + AR (Adobe Aero)</AR><blockquote class=\"twitter-tweet\"><p lang=\"ja\" dir=\"ltr\">写真→PIFuHD→Mixamo→AdobeAeroでサウンド付きARを作成。Zip化してLINEでARコンテンツを共有。<br>写真が1枚あれば簡単にARの3Dアニメーションが作れる時代…凄い。<a href=\"https://twitter.com/hashtag/PIFuHD?src=hash&amp;ref_src=twsrc%5Etfw\">#PIFuHD</a> <a href=\"https://twitter.com/hashtag/AdobeAero?src=hash&amp;ref_src=twsrc%5Etfw\">#AdobeAero</a> <a href=\"https://twitter.com/hashtag/Mixamo?src=hash&amp;ref_src=twsrc%5Etfw\">#Mixamo</a> <a href=\"https://t.co/CbiMi4gZ0K\">pic.twitter.com/CbiMi4gZ0K</a></p>&mdash; モジョン (@mojon1) <a href=\"https://twitter.com/mojon1/status/1273217947872317441?ref_src=twsrc%5Etfw\">June 17, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script><h2>3D Printing</h2><blockquote class=\"twitter-tweet\"><p lang=\"ja\" dir=\"ltr\"><a href=\"https://twitter.com/hashtag/pifuhd?src=hash&amp;ref_src=twsrc%5Etfw\">#pifuhd</a> 楽しい〜<br>小さい自分プリントした <a href=\"https://t.co/4qyWuij0Hs\">pic.twitter.com/4qyWuij0Hs</a></p>&mdash; isb (@vxzxzxzxv) <a href=\"https://twitter.com/vxzxzxzxv/status/1273136266406694913?ref_src=twsrc%5Etfw\">June 17, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>"
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        ""
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      "execution_count": null,
      "outputs": []
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}