SHOW_demo.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "JQBzL7WTdYKC"
      },
      "outputs": [],
      "source": [
        "# please commment %%capture in the first line of the follwing code block,\n",
        "# , if you want to see the output. \n",
        "!pip install -q gwpy"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "yk6FWIzLq78J"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "!pip install openmim\n",
        "!mim install mmcv-full"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "7hTKwxWsujLV"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "!mkdir -p ~/.insightface/models\n",
        "%cd ~/.insightface/models\n",
        "!wget https://keeper.mpdl.mpg.de/f/2d58b7fed5a74cb5be83/?dl=1 -O antelopev2.zip\n",
        "!wget https://keeper.mpdl.mpg.de/f/8faabd353cfc457fa5c5/?dl=1 -O buffalo_l.zip\n",
        "!mkdir -p antelopev2 && cd antelopev2 && unzip -o ../antelopev2.zip\n",
        "!mkdir -p buffalo_l && cd buffalo_l && unzip -o ../buffalo_l.zip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "Vx-Vk7S_dF0H"
      },
      "outputs": [],
      "source": [
        "# !curl -LO https://github.com/open-mmlab/mmcv/archive/refs/tags/v1.6.0.tar.gz\n",
        "# !tar xzf v1.6.0.tar.gz\n",
        "# %cd mmcv-1.6.0\n",
        "# !pip install -r requirements/optional.txt\n",
        "# !MMCV_WITH_OPS=1 pip install -e . -v\n",
        "# %cd /content"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "6qxwz7jrORsM"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "%cd /content\n",
        "!git clone https://github.com/yhw-yhw/SHOW.git\n",
        "!wget https://www.dropbox.com/s/gqdcu51ilo44k3i/models.zip?dl=0 -O models.zip\n",
        "!wget https://www.dropbox.com/s/r14bl9mhvngohla/data.zip?dl=0 -O data.zip\n",
        "!unzip data.zip\n",
        "!7za x models.zip"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "_Pu-qnq3gBfA"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "%cd /content\n",
        "!cd /content/SHOW/modules/MICA && pip install -r requirements.txt\n",
        "!cd /content/SHOW/modules/PIXIE && pip install -r requirements.txt\n",
        "!cd /content/SHOW/modules/PyMAF && pip install -r requirements.txt\n",
        "!cd /content/SHOW/modules/DECA && pip install -r requirements.txt\n",
        "!cd /content/SHOW && pip install -r requirements.txt\n",
        "!pip uninstall -y xtcocotools && pip install xtcocotools --no-binary xtcocotools"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "Rd6Gxfj3s5FU"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "%cd /content\n",
        "!git clone https://github.com/open-mmlab/mmdetection\n",
        "!cd /content/mmdetection && python setup.py install\n",
        "!git clone https://github.com/open-mmlab/mmpose\n",
        "!cd /content/mmpose && python setup.py install"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "44O8Tbne7XtB",
        "outputId": "95681678-fd6c-45cb-ebcd-dd53a50524f1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "env: mmpose_root=/content/mmpose\n"
          ]
        }
      ],
      "source": [
        "%env mmpose_root = /content/mmpose"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "QxrrDUw-xZJP"
      },
      "outputs": [],
      "source": [
        "!rm /usr/local/lib/python3.8/dist-packages/torchgeometry/core/conversions.py\n",
        "!cp /content/SHOW/conversions.py /usr/local/lib/python3.8/dist-packages/torchgeometry/core/conversions.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "m6NhsC33shky"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "import os\n",
        "import sys\n",
        "import torch\n",
        "need_pytorch3d=False\n",
        "try:\n",
        "    import pytorch3d\n",
        "except ModuleNotFoundError:\n",
        "    need_pytorch3d=True\n",
        "if need_pytorch3d:\n",
        "    if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
        "        # We try to install PyTorch3D via a released wheel.\n",
        "        pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
        "        version_str=\"\".join([\n",
        "            f\"py3{sys.version_info.minor}_cu\",\n",
        "            torch.version.cuda.replace(\".\",\"\"),\n",
        "            f\"_pyt{pyt_version_str}\"\n",
        "        ])\n",
        "        !pip install fvcore iopath\n",
        "        !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
        "    else:\n",
        "        # We try to install PyTorch3D from source.\n",
        "        !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
        "        !tar xzf 1.10.0.tar.gz\n",
        "        os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
        "        !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "8Jci8Eqs0Wxq"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "import os\n",
        "from os.path import exists, join, basename, splitext\n",
        "\n",
        "git_repo_url = 'https://github.com/CMU-Perceptual-Computing-Lab/openpose.git'\n",
        "project_name = splitext(basename(git_repo_url))[0]\n",
        "if not exists(project_name):\n",
        "  # see: https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/949\n",
        "  # install new CMake becaue of CUDA10\n",
        "  !wget -q https://cmake.org/files/v3.13/cmake-3.13.0-Linux-x86_64.tar.gz\n",
        "  !tar xfz cmake-3.13.0-Linux-x86_64.tar.gz --strip-components=1 -C /usr/local\n",
        "\n",
        "  # clone openpose\n",
        "  !git clone -q --depth 1 $git_repo_url\n",
        "  # download models\n",
        "  !wget -O /content/openpose/models/hand/pose_iter_102000.caffemodel https://polybox.ethz.ch/index.php/s/Oim76cuqrDVbdxm/download\n",
        "  !wget -O /content/openpose/models/pose/body_25/pose_iter_584000.caffemodel https://polybox.ethz.ch/index.php/s/m5NQAhd7ukVPRoL/download\n",
        "  !wget -O /content/openpose/models/face/pose_iter_116000.caffemodel https://polybox.ethz.ch/index.php/s/cEaF1FTpKjjJZbH/download\n",
        "  !sed -i 's/execute_process(COMMAND git checkout master WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}\\/3rdparty\\/caffe)/execute_process(COMMAND git checkout f019d0dfe86f49d1140961f8c7dec22130c83154 WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}\\/3rdparty\\/caffe)/g' openpose/CMakeLists.txt\n",
        "  # install system dependencies\n",
        "  !apt-get -qq install -y libatlas-base-dev libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler libgflags-dev libgoogle-glog-dev liblmdb-dev opencl-headers ocl-icd-opencl-dev libviennacl-dev\n",
        "  # install python dependencies\n",
        "  !pip install -q youtube-dl\n",
        "  # build openpose\n",
        "  !cd openpose && rm -rf build || true && mkdir build && cd build && cmake .. -DUSE_CUDNN=OFF && make -j`nproc`\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rQHzIiw8biUy",
        "outputId": "14e95ac9-03b0-49bb-f866-a82bea3ecb67"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/mmcv/__init__.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.\n",
            "  warnings.warn(\n",
            "2023-02-24 05:57:24.668226: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F FMA\n",
            "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2023-02-24 05:57:25.683403: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:/usr/lib64-nvidia\n",
            "2023-02-24 05:57:25.683543: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:/usr/lib64-nvidia\n",
            "2023-02-24 05:57:25.683563: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n",
            "tmp_dir: /content/SHOW/test/demo_video/half.mp4\n",
            "(\"machine_info: {'host_name': 'd12dd4ebb354', 'gpu_info': {'gpu_count': 1, \"\n",
            " \"'gpu_name': 'Tesla T4', 'gpu_version': '510.47.03', 'gpu_Total': 15360.0, \"\n",
            " \"'gpu_Free': 14303.875, 'gpu_Used': 1056.125}}\")\n",
            "\u001b[32m2023-02-24 05:57:34.447\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mstage1_main\u001b[0m:\u001b[36mupdate_betas_name_cfg\u001b[0m:\u001b[36m110\u001b[0m - \u001b[1mnot loading betas\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:34.449\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mstage1_main\u001b[0m:\u001b[36mupdate_betas_name_cfg\u001b[0m:\u001b[36m120\u001b[0m - \u001b[1mover_write_cfg: {'to_dict': <bound method attr_dict.to_dict of {'to_dict': <bound method attr_dict.to_dict of {...}>}>}\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:34\u001b[0m | \u001b[33m\u001b[1mWARNING \u001b[0m | \u001b[36mstage1_main\u001b[0m:\u001b[36m155\u001b[0m - \u001b[33m\u001b[1mno need to optimize\u001b[0m\n",
            "(\"machine_info: {'host_name': 'd12dd4ebb354', 'gpu_info': {'gpu_count': 1, \"\n",
            " \"'gpu_name': 'Tesla T4', 'gpu_version': '510.47.03', 'gpu_Total': 15360.0, \"\n",
            " \"'gpu_Free': 14303.875, 'gpu_Used': 1056.125}}\")\n",
            "\u001b[32m2023-02-24 05:57:34\u001b[0m | \u001b[33m\u001b[1mWARNING \u001b[0m | \u001b[36mstage2_main\u001b[0m:\u001b[36m108\u001b[0m - \u001b[33m\u001b[1mbs_at_a_time: 9\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:36\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m110\u001b[0m - \u001b[1mshape_id/speaker_name: -1\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:36\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m114\u001b[0m - \u001b[1mcurrent shape_id: -1\u001b[0m\n",
            "load checkpoint from http path: https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth\n",
            "load checkpoint from http path: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth\n",
            "\u001b[32m2023-02-24 05:57:41\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m48\u001b[0m - \u001b[1mmmpose det length before: 1\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:41\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m55\u001b[0m - \u001b[1mmmpose det length after: 1\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:41\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m66\u001b[0m - \u001b[1mpose_results_size_list: [374564.94]\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:41\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m71\u001b[0m - \u001b[1mcropped image from left:580,top:40,right:1140,bottom:708\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:52\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mmicalib.flame\u001b[0m:\u001b[36m54\u001b[0m - \u001b[1m[FLAME] creating the FLAME Decoder\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:54\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mmicalib.flame\u001b[0m:\u001b[36m54\u001b[0m - \u001b[1m[FLAME] creating the FLAME Decoder\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:54\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mmicalib.mica\u001b[0m:\u001b[36m52\u001b[0m - \u001b[1m[MICA] Trained model found. Path: /content/models/models_MICA/pretrained/mica.tar | GPU: cuda:0\u001b[0m\n",
            "/usr/local/lib/python3.8/dist-packages/pytorch3d/io/obj_io.py:542: UserWarning: No mtl file provided\n",
            "  warnings.warn(\"No mtl file provided\")\n",
            "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
            "find model: /root/.insightface/models/antelopev2/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
            "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
            "find model: /root/.insightface/models/antelopev2/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
            "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
            "find model: /root/.insightface/models/antelopev2/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
            "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
            "find model: /root/.insightface/models/antelopev2/glintr100.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
            "Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}\n",
            "find model: /root/.insightface/models/antelopev2/scrfd_10g_bnkps.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
            "set det-size: (224, 224)\n",
            "\u001b[32m2023-02-24 05:57:58\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mmodules.MICA.api_MICA\u001b[0m:\u001b[36m51\u001b[0m - \u001b[1mMICA api init done.\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:58\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mmodules.MICA.api_MICA\u001b[0m:\u001b[36m110\u001b[0m - \u001b[1mread and process arcface done.\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:59\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mmodules.MICA.api_MICA\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1mMICA ply: /tmp/cd89627fad95c9be9c16d039475fbab105870343ba6545ad.ply\u001b[0m\n",
            "\u001b[32m2023-02-24 05:57:59\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mSHOW.load_assets\u001b[0m:\u001b[36m194\u001b[0m - \u001b[1mshape_id/speaker_name: cd89627fad95c9be9c16d039475fbab105870343ba6545ad\u001b[0m\n",
            "2023-02-24 05:57:59 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:57:59 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: BUILD_VARS_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "INFO: Created TensorFlow Lite XNNPACK delegate for CPU.\n",
            "/usr/local/lib/python3.8/dist-packages/pytorch3d/io/obj_io.py:546: UserWarning: Mtl file does not exist: /content/SHOW/../data/template.mtl\n",
            "  warnings.warn(f\"Mtl file does not exist: {f}\")\n",
            "2023-02-24 05:58:10 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: BUILD_VARS_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:58:10 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:58:10 | INFO     | SHOW.utils.timer:90 - Average BUILD_VARS_STAGE = 11.5125 seconds\n",
            "2023-02-24 05:58:10 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 05:58:10 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 05:58:10 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:58:10 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.face_iders.utils:15 - found sim:0.856342077255249\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:226 - matched face from lmk\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:228 - match failed: 0.00078125 0.03333333333333333\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:226 - matched face from lmk\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:228 - match failed: 0.0 0.002777777777777778\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:226 - matched face from lmk\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:228 - match failed: 0.0 0.005555555555555556\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:226 - matched face from lmk\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:228 - match failed: 0.00078125 0.005555555555555556\n",
            "2023-02-24 05:59:37 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 05:59:38 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 05:59:38 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 87.5183 seconds\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 05:59:38 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:48<00:00,  4.10it/s] lmk=0.1775 lmk_mount=0.211 lmk_oval=0.0296 jaw_reg=0.0463 exp_reg=1.5563 tex_reg=1.9312 loss_sexp=0.0475 loss_sjaw=0.0004 pho=39.7885 all_loss=43.7881: \n",
            "2023-02-24 06:01:27 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:27 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:27 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 108.9336 seconds\n",
            "2023-02-24 06:01:27 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:01:27 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:27 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:27 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_0_9_0_23.pkl\n",
            "2023-02-24 06:01:27 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:03<00:00,  2.75it/s]\n",
            "2023-02-24 06:01:38 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:38 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:38 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 10.7471 seconds\n",
            "2023-02-24 06:01:38 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:01:38 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:01:38 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:38 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:49 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8327088356018066\n",
            "2023-02-24 06:01:49 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:01:50 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:01:50 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 12.3520 seconds\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:01:50 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "  0%|          | 0/447 [00:00<?, ?it/s]2023-02-24 06:01:50 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:51<00:00,  4.01it/s] pre_exp=0.0063 lmk=0.1614 lmk_mount=0.1826 lmk_oval=0.0264 jaw_reg=0.0382 exp_reg=1.654 tex_reg=1.8805 loss_sexp=0.0203 loss_sjaw=0.0001 pho=41.764 all_loss=45.734: \n",
            "2023-02-24 06:03:41 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:41 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:41 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 111.4301 seconds\n",
            "2023-02-24 06:03:41 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:03:41 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:41 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:41 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_9_18_1_23.pkl\n",
            "2023-02-24 06:03:41 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:03<00:00,  2.92it/s]\n",
            "2023-02-24 06:03:51 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:51 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:51 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 9.7956 seconds\n",
            "2023-02-24 06:03:51 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:03:51 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:03:51 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:03:51 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8284585475921631\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:03 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:04:04 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:04:04 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:04:04 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:04:04 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:04:04 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 12.4406 seconds\n",
            "2023-02-24 06:04:04 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:04:04 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:04:04 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:50<00:00,  4.05it/s] pre_exp=0.0024 lmk=0.1632 lmk_mount=0.1987 lmk_oval=0.0274 jaw_reg=0.0571 exp_reg=1.6341 tex_reg=1.8871 loss_sexp=0.0153 loss_sjaw=0.0003 pho=41.3434 all_loss=45.3289: \n",
            "2023-02-24 06:05:54 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:05:54 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:05:54 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 110.2389 seconds\n",
            "2023-02-24 06:05:54 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:05:54 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:05:54 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:05:54 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_18_27_2_23.pkl\n",
            "2023-02-24 06:05:54 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:03<00:00,  2.45it/s]\n",
            "2023-02-24 06:06:04 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:04 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:04 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 10.2724 seconds\n",
            "2023-02-24 06:06:04 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:06:04 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:06:04 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:04 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8033020496368408\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:06:16 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:06:16 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 12.2375 seconds\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:06:16 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:50<00:00,  4.05it/s] pre_exp=0.0053 lmk=0.1863 lmk_mount=0.2516 lmk_oval=0.0293 jaw_reg=0.0737 exp_reg=1.9688 tex_reg=1.8676 loss_sexp=0.039 loss_sjaw=0.0004 pho=41.2096 all_loss=45.6315: \n",
            "2023-02-24 06:08:07 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:07 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:07 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 110.2611 seconds\n",
            "2023-02-24 06:08:07 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:08:07 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:07 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:07 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_27_36_3_23.pkl\n",
            "2023-02-24 06:08:07 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  2.06it/s]\n",
            "2023-02-24 06:08:18 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:18 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:18 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 10.9582 seconds\n",
            "2023-02-24 06:08:18 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:08:18 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:08:18 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:18 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8496730327606201\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:29 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:08:30 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:08:30 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:08:30 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:30 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:30 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.9283 seconds\n",
            "2023-02-24 06:08:30 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:08:30 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:08:30 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:52<00:00,  3.97it/s] pre_exp=0.018 lmk=0.2006 lmk_mount=0.257 lmk_oval=0.0307 jaw_reg=0.0743 exp_reg=2.2348 tex_reg=1.7538 loss_sexp=0.0383 loss_sjaw=0.0003 pho=41.1194 all_loss=45.727: \n",
            "2023-02-24 06:10:22 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:22 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:22 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 112.6364 seconds\n",
            "2023-02-24 06:10:22 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:10:22 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:22 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:22 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_36_45_4_23.pkl\n",
            "2023-02-24 06:10:22 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  2.20it/s]\n",
            "2023-02-24 06:10:33 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:33 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:33 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 10.6965 seconds\n",
            "2023-02-24 06:10:33 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:10:33 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:10:33 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:33 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:44 | INFO     | SHOW.face_iders.utils:15 - found sim:0.7728760838508606\n",
            "2023-02-24 06:10:44 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:44 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:44 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:44 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:44 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:10:45 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:10:45 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.9945 seconds\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:10:45 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:50<00:00,  4.04it/s] pre_exp=0.0074 lmk=0.1872 lmk_mount=0.2303 lmk_oval=0.0307 jaw_reg=0.0376 exp_reg=1.6659 tex_reg=1.8812 loss_sexp=0.0431 loss_sjaw=0.0007 pho=39.4913 all_loss=43.5754: \n",
            "2023-02-24 06:12:35 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:35 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:35 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 110.5615 seconds\n",
            "2023-02-24 06:12:35 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:12:35 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:35 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:35 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_45_54_5_23.pkl\n",
            "2023-02-24 06:12:35 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  1.93it/s]\n",
            "2023-02-24 06:12:47 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:47 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:47 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 11.2264 seconds\n",
            "2023-02-24 06:12:47 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:12:47 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:12:47 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:47 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8927409648895264\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:58 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:12:59 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:12:59 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:12:59 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:59 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:59 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.9141 seconds\n",
            "2023-02-24 06:12:59 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:12:59 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:12:59 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:50<00:00,  4.06it/s] pre_exp=0.0082 lmk=0.1744 lmk_mount=0.2367 lmk_oval=0.0284 jaw_reg=0.0394 exp_reg=1.8173 tex_reg=1.8952 loss_sexp=0.0214 loss_sjaw=0.0002 pho=40.2276 all_loss=44.4488: \n",
            "2023-02-24 06:14:49 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:14:49 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:14:49 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 110.1029 seconds\n",
            "2023-02-24 06:14:49 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:14:49 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:14:49 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:14:49 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_54_63_6_23.pkl\n",
            "2023-02-24 06:14:49 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  1.92it/s]\n",
            "2023-02-24 06:15:00 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:00 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:00 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 11.3468 seconds\n",
            "2023-02-24 06:15:00 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:15:00 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:15:00 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:00 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8670264482498169\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:11 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:15:12 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:15:12 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.7571 seconds\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:15:12 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:51<00:00,  4.00it/s] pre_exp=0.0077 lmk=0.1762 lmk_mount=0.2133 lmk_oval=0.0302 jaw_reg=0.0337 exp_reg=1.6503 tex_reg=1.8715 loss_sexp=0.0307 loss_sjaw=0.0005 pho=41.3052 all_loss=45.3192: \n",
            "2023-02-24 06:17:04 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:04 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:04 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 111.7904 seconds\n",
            "2023-02-24 06:17:04 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:17:04 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:04 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:04 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_63_72_7_23.pkl\n",
            "2023-02-24 06:17:04 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  1.93it/s]\n",
            "2023-02-24 06:17:15 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:15 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:15 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 11.2044 seconds\n",
            "2023-02-24 06:17:15 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:17:15 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:17:15 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:15 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.face_iders.utils:15 - found sim:0.9015470147132874\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:17:26 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:17:26 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.7099 seconds\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:17:26 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:50<00:00,  4.05it/s] pre_exp=0.0172 lmk=0.1897 lmk_mount=0.2084 lmk_oval=0.0323 jaw_reg=0.0338 exp_reg=1.5404 tex_reg=1.9095 loss_sexp=0.0448 loss_sjaw=0.0003 pho=41.0291 all_loss=45.0056: \n",
            "2023-02-24 06:19:17 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:17 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:17 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 110.4495 seconds\n",
            "2023-02-24 06:19:17 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:19:17 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:17 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:17 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_72_81_8_23.pkl\n",
            "2023-02-24 06:19:17 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  1.89it/s]\n",
            "2023-02-24 06:19:28 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:28 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:28 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 11.5461 seconds\n",
            "2023-02-24 06:19:28 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:19:28 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:19:28 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:28 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:39 | INFO     | SHOW.face_iders.utils:15 - found sim:0.7881507873535156\n",
            "2023-02-24 06:19:39 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:39 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:19:40 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:19:40 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.4917 seconds\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:19:40 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:50<00:00,  4.06it/s] pre_exp=0.0061 lmk=0.2024 lmk_mount=0.2711 lmk_oval=0.0316 jaw_reg=0.0575 exp_reg=1.8935 tex_reg=1.7684 loss_sexp=0.0158 loss_sjaw=0.0005 pho=40.9206 all_loss=45.1675: \n",
            "2023-02-24 06:21:30 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:30 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:30 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 110.0992 seconds\n",
            "2023-02-24 06:21:30 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:21:30 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:30 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:30 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_81_90_9_23.pkl\n",
            "2023-02-24 06:21:30 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  1.87it/s]\n",
            "2023-02-24 06:21:42 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:42 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:42 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 11.8540 seconds\n",
            "2023-02-24 06:21:42 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:21:42 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:21:42 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:42 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8399513959884644\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:53 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:21:54 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:21:54 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.6874 seconds\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:21:54 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "100%|##########| 447/447 [01:51<00:00,  4.00it/s] pre_exp=0.0029 lmk=0.1987 lmk_mount=0.2511 lmk_oval=0.0317 jaw_reg=0.0478 exp_reg=1.6984 tex_reg=1.7379 loss_sexp=0.0158 loss_sjaw=0.0004 pho=40.2277 all_loss=44.2126: \n",
            "2023-02-24 06:23:45 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:45 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:45 | INFO     | SHOW.utils.timer:90 - Average OPTIMIZE_STAGE = 111.6407 seconds\n",
            "2023-02-24 06:23:45 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:23:45 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:45 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:45 | INFO     | stage2_main:748 - mica pkl part path: /content/SHOW/test/demo_video/ours_exp/w_mica_part_90_99_10_23.pkl\n",
            "2023-02-24 06:23:45 | INFO     | stage2_main:752 - mica render to origin path: /content/SHOW/test/demo_video/ours_exp/mica_org\n",
            "saving ours final pyrender images: 100%|##########| 9/9 [00:04<00:00,  1.83it/s]\n",
            "2023-02-24 06:23:57 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: SAVING_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:57 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:57 | INFO     | SHOW.utils.timer:90 - Average SAVING_STAGE = 12.1822 seconds\n",
            "2023-02-24 06:23:57 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:23:57 | INFO     | stage2_main:233 - origin input data frame batchsize:9\n",
            "2023-02-24 06:23:57 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:23:57 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.face_iders.utils:15 - found sim:0.8757137656211853\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.smplx_dataset:208 - lmk_list len == 1\n",
            "2023-02-24 06:24:09 | INFO     | stage2_main:259 - valid input data frame batchsize:9\n",
            "2023-02-24 06:24:09 | INFO     | stage2_main:260 - valid_bool: tensor([True, True, True, True, True, True, True, True, True], device='cuda:0')\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.utils.timer:71 - %%%%%%%%%%%%%%%%%%%%EXIT: LOAD_DATASET_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.utils.timer:72 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.utils.timer:90 - Average LOAD_DATASET_STAGE = 11.9876 seconds\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.utils.timer:91 - \n",
            "\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.utils.timer:58 - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
            "2023-02-24 06:24:09 | INFO     | SHOW.utils.timer:59 - %%%%%%%%%%%%%%%%%%%%START: OPTIMIZE_STAGE%%%%%%%%%%%%%%%%%%%%\n",
            " 75%|#######4  | 334/447 [00:57<00:53,  2.12it/s] pre_exp=0.0108 lmk=0.1908 lmk_mount=0.2522 lmk_oval=0.0305 jaw_reg=0.0255 exp_reg=1.5706 tex_reg=1.1046 loss_sexp=0.0335 loss_sjaw=0.0003 pho=42.0938 all_loss=45.3128: "
          ]
        }
      ],
      "source": [
        "!cd /content/SHOW && python main.py --speaker_name -1 --all_top_dir ./test/demo_video/half.mp4"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "my_torch39",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.9.12"
    },
    "vscode": {
      "interpreter": {
        "hash": "bf56b89bcada81c2a71943ee007ada908de7a5f929fa45a89c2c78757211229f"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}