pest_detection_weights.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "pest_detection_weights.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/shivam1423/Pest_detection/blob/master/pest_detection_weights.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T5e0BrUueyez",
        "colab_type": "text"
      },
      "source": [
        "# **Training configuration**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bCbVVj6cJuxh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "repo_url = 'https://github.com/Tony607/object_detection_demo'\n",
        "\n",
        "# Number of training steps.\n",
        "num_steps = 5000  # 200000\n",
        "\n",
        "# Number of evaluation steps.\n",
        "num_eval_steps = 100\n",
        "\n",
        "MODELS_CONFIG = {\n",
        "    'ssd_mobilenet_v2': {\n",
        "        'model_name': 'ssd_mobilenet_v2_coco_2018_03_29',\n",
        "        'pipeline_file': 'ssd_inception_v2_coco.config',\n",
        "        'batch_size': 16\n",
        "    }\n",
        "}\n",
        "selected_model = 'ssd_mobilenet_v2'\n",
        "\n",
        "MODEL = MODELS_CONFIG[selected_model]['model_name']\n",
        "\n",
        "pipeline_file = MODELS_CONFIG[selected_model]['pipeline_file']\n",
        "\n",
        "batch_size = MODELS_CONFIG[selected_model]['batch_size']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RJtunD-7eYXU",
        "colab_type": "text"
      },
      "source": [
        "# **Clone the object_detection_demo repository.**\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oA2TmY1cJ9vb",
        "colab_type": "code",
        "outputId": "f9cc93cf-c8c5-4315-98b3-f5fe50a2b397",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "import os\n",
        "\n",
        "%cd /content\n",
        "\n",
        "repo_dir_path = os.path.abspath(os.path.join('.', os.path.basename(repo_url)))\n",
        "\n",
        "!git clone {repo_url}\n",
        "%cd {repo_dir_path}\n",
        "!git pull"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n",
            "Cloning into 'object_detection_demo'...\n",
            "remote: Enumerating objects: 124, done.\u001b[K\n",
            "remote: Total 124 (delta 0), reused 0 (delta 0), pack-reused 124\u001b[K\n",
            "Receiving objects: 100% (124/124), 11.16 MiB | 6.19 MiB/s, done.\n",
            "Resolving deltas: 100% (55/55), done.\n",
            "/content/object_detection_demo\n",
            "Already up to date.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FF_keKR0fNEw",
        "colab_type": "text"
      },
      "source": [
        "# **Clone the Tensorflow predefine models repository.**\n",
        "\n",
        "# **Install required packages**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RbIEOPNhKA0j",
        "colab_type": "code",
        "outputId": "5a044213-2267-41f9-f91b-caabc451d14e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1584
        }
      },
      "source": [
        "%cd /content\n",
        "!git clone --quiet https://github.com/tensorflow/models.git\n",
        "\n",
        "!apt-get install -qq protobuf-compiler python-pil python-lxml python-tk\n",
        "\n",
        "!pip install -q Cython contextlib2 pillow lxml matplotlib\n",
        "\n",
        "!pip install -q pycocotools\n",
        "\n",
        "%cd /content/models/research\n",
        "!protoc object_detection/protos/*.proto --python_out=.\n",
        "\n",
        "import os\n",
        "os.environ['PYTHONPATH'] += ':/content/models/research/:/content/models/research/slim/'\n",
        "\n",
        "!python object_detection/builders/model_builder_test.py"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n",
            "Selecting previously unselected package python-bs4.\n",
            "(Reading database ... 145605 files and directories currently installed.)\n",
            "Preparing to unpack .../0-python-bs4_4.6.0-1_all.deb ...\n",
            "Unpacking python-bs4 (4.6.0-1) ...\n",
            "Selecting previously unselected package python-pkg-resources.\n",
            "Preparing to unpack .../1-python-pkg-resources_39.0.1-2_all.deb ...\n",
            "Unpacking python-pkg-resources (39.0.1-2) ...\n",
            "Selecting previously unselected package python-chardet.\n",
            "Preparing to unpack .../2-python-chardet_3.0.4-1_all.deb ...\n",
            "Unpacking python-chardet (3.0.4-1) ...\n",
            "Selecting previously unselected package python-six.\n",
            "Preparing to unpack .../3-python-six_1.11.0-2_all.deb ...\n",
            "Unpacking python-six (1.11.0-2) ...\n",
            "Selecting previously unselected package python-webencodings.\n",
            "Preparing to unpack .../4-python-webencodings_0.5-2_all.deb ...\n",
            "Unpacking python-webencodings (0.5-2) ...\n",
            "Selecting previously unselected package python-html5lib.\n",
            "Preparing to unpack .../5-python-html5lib_0.999999999-1_all.deb ...\n",
            "Unpacking python-html5lib (0.999999999-1) ...\n",
            "Selecting previously unselected package python-lxml:amd64.\n",
            "Preparing to unpack .../6-python-lxml_4.2.1-1ubuntu0.1_amd64.deb ...\n",
            "Unpacking python-lxml:amd64 (4.2.1-1ubuntu0.1) ...\n",
            "Selecting previously unselected package python-olefile.\n",
            "Preparing to unpack .../7-python-olefile_0.45.1-1_all.deb ...\n",
            "Unpacking python-olefile (0.45.1-1) ...\n",
            "Selecting previously unselected package python-pil:amd64.\n",
            "Preparing to unpack .../8-python-pil_5.1.0-1_amd64.deb ...\n",
            "Unpacking python-pil:amd64 (5.1.0-1) ...\n",
            "Setting up python-pkg-resources (39.0.1-2) ...\n",
            "Setting up python-six (1.11.0-2) ...\n",
            "Setting up python-bs4 (4.6.0-1) ...\n",
            "Setting up python-lxml:amd64 (4.2.1-1ubuntu0.1) ...\n",
            "Setting up python-olefile (0.45.1-1) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Setting up python-pil:amd64 (5.1.0-1) ...\n",
            "Setting up python-webencodings (0.5-2) ...\n",
            "Setting up python-chardet (3.0.4-1) ...\n",
            "Setting up python-html5lib (0.999999999-1) ...\n",
            "/content/models/research\n",
            "WARNING:tensorflow:\n",
            "The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
            "For more information, please see:\n",
            "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
            "  * https://github.com/tensorflow/addons\n",
            "  * https://github.com/tensorflow/io (for I/O related ops)\n",
            "If you depend on functionality not listed there, please file an issue.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/slim/nets/inception_resnet_v2.py:374: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/slim/nets/mobilenet/mobilenet.py:397: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.\n",
            "\n",
            "Running tests under Python 3.6.8: /usr/bin/python3\n",
            "[ RUN      ] ModelBuilderTest.test_create_experimental_model\n",
            "[       OK ] ModelBuilderTest.test_create_experimental_model\n",
            "[ RUN      ] ModelBuilderTest.test_create_faster_rcnn_model_from_config_with_example_miner\n",
            "[       OK ] ModelBuilderTest.test_create_faster_rcnn_model_from_config_with_example_miner\n",
            "[ RUN      ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_faster_rcnn_with_matmul\n",
            "[       OK ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_faster_rcnn_with_matmul\n",
            "[ RUN      ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_faster_rcnn_without_matmul\n",
            "[       OK ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_faster_rcnn_without_matmul\n",
            "[ RUN      ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_mask_rcnn_with_matmul\n",
            "[       OK ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_mask_rcnn_with_matmul\n",
            "[ RUN      ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_mask_rcnn_without_matmul\n",
            "[       OK ] ModelBuilderTest.test_create_faster_rcnn_models_from_config_mask_rcnn_without_matmul\n",
            "[ RUN      ] ModelBuilderTest.test_create_rfcn_model_from_config\n",
            "[       OK ] ModelBuilderTest.test_create_rfcn_model_from_config\n",
            "[ RUN      ] ModelBuilderTest.test_create_ssd_fpn_model_from_config\n",
            "[       OK ] ModelBuilderTest.test_create_ssd_fpn_model_from_config\n",
            "[ RUN      ] ModelBuilderTest.test_create_ssd_models_from_config\n",
            "[       OK ] ModelBuilderTest.test_create_ssd_models_from_config\n",
            "[ RUN      ] ModelBuilderTest.test_invalid_faster_rcnn_batchnorm_update\n",
            "[       OK ] ModelBuilderTest.test_invalid_faster_rcnn_batchnorm_update\n",
            "[ RUN      ] ModelBuilderTest.test_invalid_first_stage_nms_iou_threshold\n",
            "[       OK ] ModelBuilderTest.test_invalid_first_stage_nms_iou_threshold\n",
            "[ RUN      ] ModelBuilderTest.test_invalid_model_config_proto\n",
            "[       OK ] ModelBuilderTest.test_invalid_model_config_proto\n",
            "[ RUN      ] ModelBuilderTest.test_invalid_second_stage_batch_size\n",
            "[       OK ] ModelBuilderTest.test_invalid_second_stage_batch_size\n",
            "[ RUN      ] ModelBuilderTest.test_session\n",
            "[  SKIPPED ] ModelBuilderTest.test_session\n",
            "[ RUN      ] ModelBuilderTest.test_unknown_faster_rcnn_feature_extractor\n",
            "[       OK ] ModelBuilderTest.test_unknown_faster_rcnn_feature_extractor\n",
            "[ RUN      ] ModelBuilderTest.test_unknown_meta_architecture\n",
            "[       OK ] ModelBuilderTest.test_unknown_meta_architecture\n",
            "[ RUN      ] ModelBuilderTest.test_unknown_ssd_feature_extractor\n",
            "[       OK ] ModelBuilderTest.test_unknown_ssd_feature_extractor\n",
            "----------------------------------------------------------------------\n",
            "Ran 17 tests in 0.171s\n",
            "\n",
            "OK (skipped=1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NkzlZVs9fkK4",
        "colab_type": "text"
      },
      "source": [
        "# **Mounting Google Drive**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KCPzXZGRKUVq",
        "colab_type": "code",
        "outputId": "15578bc3-9903-408a-d9a4-8579a360d928",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hdExwmGof7s4",
        "colab_type": "text"
      },
      "source": [
        "# **Coping Pest data into local space**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dd20uxbyKGW0",
        "colab_type": "code",
        "outputId": "543d3be0-e0be-4947-c97b-14f5688eca8f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "%cd ..\n",
        "%cd ..\n",
        "%cd /content/drive/My\\ Drive\n",
        "import shutil\n",
        "shutil.copy(\"Pest_Train.zip\",\"/content/\")\n",
        "shutil.copy(\"Pest_val.zip\",\"/content/\")\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/\n",
            "/\n",
            "/content/drive/My Drive\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/Pest_val.zip'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OweW2R9bgF9D",
        "colab_type": "text"
      },
      "source": [
        "# **Unzip the zip files**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kuw0jOrhKeMa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%cd ..\n",
        "%cd ..\n",
        "!unzip Pest_Train.zip\n",
        "#%cd ..\n",
        "#%cd Train1\n",
        "!unzip Pest_val.zip"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kHXAH2tfgf4y",
        "colab_type": "text"
      },
      "source": [
        "# **Prepare tfrecord files**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9td3qg8wKiZL",
        "colab_type": "code",
        "outputId": "03d7b156-d6ca-4ff2-adf9-f06b39b30fab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        }
      },
      "source": [
        "%cd {repo_dir_path}\n",
        "\n",
        "\n",
        "!python xml_to_csv.py -i /content/Train/Annotation -o /content/Train/train_labels.csv \n",
        "\n",
        "\n",
        "\n",
        "!python xml_to_csv.py -i /content/val/Annotation -o /content/val/test_labels.csv\n",
        "\n",
        "\n",
        "%cd {repo_dir_path}\n",
        "!python generate_tfrecord.py --csv_input=/content/Train/train_labels.csv --output_path=/content/Train.record --img_path=/content/Train/Images --label_map /content/labelmap.pbtxt\n",
        "\n",
        "\n",
        "!python generate_tfrecord.py --csv_input=/content/val/test_labels.csv --output_path=/content/Test.record --img_path=/content/val/Images --label_map /content/labelmap.pbtxt"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/object_detection_demo\n",
            "Successfully converted xml to csv.\n",
            "Successfully converted xml to csv.\n",
            "/content/object_detection_demo\n",
            "WARNING:tensorflow:From generate_tfrecord.py:134: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.\n",
            "\n",
            "WARNING:tensorflow:From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.\n",
            "\n",
            "W1126 05:28:10.614344 139817153316736 module_wrapper.py:139] From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "W1126 05:28:10.626941 139817153316736 module_wrapper.py:139] From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "Successfully created the TFRecords: /content/Train.record\n",
            "WARNING:tensorflow:From generate_tfrecord.py:134: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.\n",
            "\n",
            "WARNING:tensorflow:From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.\n",
            "\n",
            "W1126 05:28:18.708747 140435929073536 module_wrapper.py:139] From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "W1126 05:28:18.715644 140435929073536 module_wrapper.py:139] From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "Successfully created the TFRecords: /content/Test.record\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pBCvHLK0K1zs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_record_fname = '/content/Test.record'\n",
        "train_record_fname = '/content/Train.record'\n",
        "label_map_pbtxt_fname = '/content/labelmap.pbtxt'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VQReuUM9gkkf",
        "colab_type": "text"
      },
      "source": [
        "# **Download base model**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZC3yIzAGLJPU",
        "colab_type": "code",
        "outputId": "fbabe04d-3f5a-41ff-ec28-103f61471c6d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd /content/models/research\n",
        "\n",
        "import os\n",
        "import shutil\n",
        "import glob\n",
        "import urllib.request\n",
        "import tarfile\n",
        "MODEL_FILE = MODEL + '.tar.gz'\n",
        "DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'\n",
        "DEST_DIR = '/content/models/research/pretrained_model'\n",
        "\n",
        "if not (os.path.exists(MODEL_FILE)):\n",
        "    urllib.request.urlretrieve(DOWNLOAD_BASE + MODEL_FILE, MODEL_FILE)\n",
        "\n",
        "tar = tarfile.open(MODEL_FILE)\n",
        "tar.extractall()\n",
        "tar.close()\n",
        "\n",
        "os.remove(MODEL_FILE)\n",
        "if (os.path.exists(DEST_DIR)):\n",
        "    shutil.rmtree(DEST_DIR)\n",
        "os.rename(MODEL, DEST_DIR)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/models/research\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tHf4OiJkLMoA",
        "colab_type": "code",
        "outputId": "2b398a70-56dd-4d17-c9fe-181ec5ef2303",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "!echo {DEST_DIR}\n",
        "!ls -alh {DEST_DIR}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/models/research/pretrained_model\n",
            "total 135M\n",
            "drwxr-xr-x  3 345018 89939 4.0K Mar 30  2018 .\n",
            "drwxr-xr-x 70 root   root  4.0K Nov 26 05:28 ..\n",
            "-rw-r--r--  1 345018 89939   77 Mar 30  2018 checkpoint\n",
            "-rw-r--r--  1 345018 89939  67M Mar 30  2018 frozen_inference_graph.pb\n",
            "-rw-r--r--  1 345018 89939  65M Mar 30  2018 model.ckpt.data-00000-of-00001\n",
            "-rw-r--r--  1 345018 89939  15K Mar 30  2018 model.ckpt.index\n",
            "-rw-r--r--  1 345018 89939 3.4M Mar 30  2018 model.ckpt.meta\n",
            "-rw-r--r--  1 345018 89939 4.2K Mar 30  2018 pipeline.config\n",
            "drwxr-xr-x  3 345018 89939 4.0K Mar 30  2018 saved_model\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m1S72fLxLP0A",
        "colab_type": "code",
        "outputId": "5559a985-8b14-497f-b3ed-604f1a424095",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "fine_tune_checkpoint = os.path.join(DEST_DIR, \"model.ckpt\")\n",
        "fine_tune_checkpoint"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/models/research/pretrained_model/model.ckpt'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g6RtZIhGg2oZ",
        "colab_type": "text"
      },
      "source": [
        "# **Configuring a Training Pipeline**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XMXRcl19LU0k",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "pipeline_fname = os.path.join('/content/models/research/object_detection/samples/configs/', pipeline_file)\n",
        "assert os.path.isfile(pipeline_fname), '`{}` not exist'.format(pipeline_fname)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y_6x9vyCLabR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_num_classes(pbtxt_fname):\n",
        "    from object_detection.utils import label_map_util\n",
        "    label_map = label_map_util.load_labelmap(pbtxt_fname)\n",
        "    categories = label_map_util.convert_label_map_to_categories(\n",
        "        label_map, max_num_classes=90, use_display_name=True)\n",
        "    category_index = label_map_util.create_category_index(categories)\n",
        "    return len(category_index.keys())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "39V_-dFGLc8I",
        "colab_type": "code",
        "outputId": "bcd40724-140a-42e9-d878-afee9a8e54b1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 134
        }
      },
      "source": [
        "import re\n",
        "\n",
        "num_classes = get_num_classes(label_map_pbtxt_fname)\n",
        "print(num_classes)\n",
        "#print('hi')\n",
        "with open(pipeline_fname) as f:\n",
        "    s = f.read()\n",
        "with open(pipeline_fname, 'w') as f:\n",
        "    \n",
        "    # fine_tune_checkpoint\n",
        "    s = re.sub('fine_tune_checkpoint: \".*?\"',\n",
        "               'fine_tune_checkpoint: \"{}\"'.format(fine_tune_checkpoint), s)\n",
        "    \n",
        "    # tfrecord files train and test.\n",
        "    s = re.sub(\n",
        "        '(input_path: \".*?)(train.record)(.*?\")', 'input_path: \"{}\"'.format(train_record_fname), s)\n",
        "    s = re.sub(\n",
        "        '(input_path: \".*?)(val.record)(.*?\")', 'input_path: \"{}\"'.format(test_record_fname), s)\n",
        "\n",
        "    # label_map_path\n",
        "    s = re.sub(\n",
        "        'label_map_path: \".*?\"', 'label_map_path: \"{}\"'.format(label_map_pbtxt_fname), s)\n",
        "\n",
        "    # Set training batch_size.\n",
        "    s = re.sub('batch_size: [0-9]+',\n",
        "               'batch_size: {}'.format(batch_size), s)\n",
        "\n",
        "    # Set training steps, num_steps\n",
        "    s = re.sub('num_steps: [0-9]+',\n",
        "               'num_steps: {}'.format(num_steps), s)\n",
        "    \n",
        "    # Set number of classes num_classes.\n",
        "    s = re.sub('num_classes: [0-9]+',\n",
        "               'num_classes: {}'.format(num_classes), s)\n",
        "    f.write(s)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<p style=\"color: red;\">\n",
              "The default version of TensorFlow in Colab will soon switch to TensorFlow 2.x.<br>\n",
              "We recommend you <a href=\"https://www.tensorflow.org/guide/migrate\" target=\"_blank\">upgrade</a> now \n",
              "or ensure your notebook will continue to use TensorFlow 1.x via the <code>%tensorflow_version 1.x</code> magic:\n",
              "<a href=\"https://colab.research.google.com/notebooks/tensorflow_version.ipynb\" target=\"_blank\">more info</a>.</p>\n"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DgQqFefKLlBp",
        "colab_type": "code",
        "outputId": "a6c24aa4-9dcb-4c2b-957b-6448696d152b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 3230
        }
      },
      "source": [
        "!cat {pipeline_fname}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "# SSD with Inception v2 configuration for MSCOCO Dataset.\n",
            "# Users should configure the fine_tune_checkpoint field in the train config as\n",
            "# well as the label_map_path and input_path fields in the train_input_reader and\n",
            "# eval_input_reader. Search for \"PATH_TO_BE_CONFIGURED\" to find the fields that\n",
            "# should be configured.\n",
            "\n",
            "model {\n",
            "  ssd {\n",
            "    num_classes: 1\n",
            "    box_coder {\n",
            "      faster_rcnn_box_coder {\n",
            "        y_scale: 10.0\n",
            "        x_scale: 10.0\n",
            "        height_scale: 5.0\n",
            "        width_scale: 5.0\n",
            "      }\n",
            "    }\n",
            "    matcher {\n",
            "      argmax_matcher {\n",
            "        matched_threshold: 0.5\n",
            "        unmatched_threshold: 0.5\n",
            "        ignore_thresholds: false\n",
            "        negatives_lower_than_unmatched: true\n",
            "        force_match_for_each_row: true\n",
            "      }\n",
            "    }\n",
            "    similarity_calculator {\n",
            "      iou_similarity {\n",
            "      }\n",
            "    }\n",
            "    anchor_generator {\n",
            "      ssd_anchor_generator {\n",
            "        num_layers: 6\n",
            "        min_scale: 0.2\n",
            "        max_scale: 0.95\n",
            "        aspect_ratios: 1.0\n",
            "        aspect_ratios: 2.0\n",
            "        aspect_ratios: 0.5\n",
            "        aspect_ratios: 3.0\n",
            "        aspect_ratios: 0.3333\n",
            "        reduce_boxes_in_lowest_layer: true\n",
            "      }\n",
            "    }\n",
            "    image_resizer {\n",
            "      fixed_shape_resizer {\n",
            "        height: 300\n",
            "        width: 300\n",
            "      }\n",
            "    }\n",
            "    box_predictor {\n",
            "      convolutional_box_predictor {\n",
            "        min_depth: 0\n",
            "        max_depth: 0\n",
            "        num_layers_before_predictor: 0\n",
            "        use_dropout: false\n",
            "        dropout_keep_probability: 0.8\n",
            "        kernel_size: 3\n",
            "        box_code_size: 4\n",
            "        apply_sigmoid_to_scores: false\n",
            "        conv_hyperparams {\n",
            "          activation: RELU_6,\n",
            "          regularizer {\n",
            "            l2_regularizer {\n",
            "              weight: 0.00004\n",
            "            }\n",
            "          }\n",
            "          initializer {\n",
            "            truncated_normal_initializer {\n",
            "              stddev: 0.03\n",
            "              mean: 0.0\n",
            "            }\n",
            "          }\n",
            "        }\n",
            "      }\n",
            "    }\n",
            "    feature_extractor {\n",
            "      type: 'ssd_inception_v2'\n",
            "      min_depth: 16\n",
            "      depth_multiplier: 1.0\n",
            "      conv_hyperparams {\n",
            "        activation: RELU_6,\n",
            "        regularizer {\n",
            "          l2_regularizer {\n",
            "            weight: 0.00004\n",
            "          }\n",
            "        }\n",
            "        initializer {\n",
            "          truncated_normal_initializer {\n",
            "            stddev: 0.03\n",
            "            mean: 0.0\n",
            "          }\n",
            "        }\n",
            "        batch_norm {\n",
            "          train: true,\n",
            "          scale: true,\n",
            "          center: true,\n",
            "          decay: 0.9997,\n",
            "          epsilon: 0.001,\n",
            "        }\n",
            "      }\n",
            "      override_base_feature_extractor_hyperparams: true\n",
            "    }\n",
            "    loss {\n",
            "      classification_loss {\n",
            "        weighted_sigmoid {\n",
            "        }\n",
            "      }\n",
            "      localization_loss {\n",
            "        weighted_smooth_l1 {\n",
            "        }\n",
            "      }\n",
            "      hard_example_miner {\n",
            "        num_hard_examples: 3000\n",
            "        iou_threshold: 0.99\n",
            "        loss_type: CLASSIFICATION\n",
            "        max_negatives_per_positive: 3\n",
            "        min_negatives_per_image: 0\n",
            "      }\n",
            "      classification_weight: 1.0\n",
            "      localization_weight: 1.0\n",
            "    }\n",
            "    normalize_loss_by_num_matches: true\n",
            "    post_processing {\n",
            "      batch_non_max_suppression {\n",
            "        score_threshold: 1e-8\n",
            "        iou_threshold: 0.6\n",
            "        max_detections_per_class: 100\n",
            "        max_total_detections: 100\n",
            "      }\n",
            "      score_converter: SIGMOID\n",
            "    }\n",
            "  }\n",
            "}\n",
            "\n",
            "train_config: {\n",
            "  batch_size: 16\n",
            "  optimizer {\n",
            "    rms_prop_optimizer: {\n",
            "      learning_rate: {\n",
            "        exponential_decay_learning_rate {\n",
            "          initial_learning_rate: 0.004\n",
            "          decay_steps: 800720\n",
            "          decay_factor: 0.95\n",
            "        }\n",
            "      }\n",
            "      momentum_optimizer_value: 0.9\n",
            "      decay: 0.9\n",
            "      epsilon: 1.0\n",
            "    }\n",
            "  }\n",
            "  fine_tune_checkpoint: \"/content/models/research/pretrained_model/model.ckpt\"\n",
            "  from_detection_checkpoint: true\n",
            "  # Note: The below line limits the training process to 200K steps, which we\n",
            "  # empirically found to be sufficient enough to train the pets dataset. This\n",
            "  # effectively bypasses the learning rate schedule (the learning rate will\n",
            "  # never decay). Remove the below line to train indefinitely.\n",
            "  num_steps: 5000\n",
            "  data_augmentation_options {\n",
            "    random_horizontal_flip {\n",
            "    }\n",
            "  }\n",
            "  data_augmentation_options {\n",
            "    ssd_random_crop {\n",
            "    }\n",
            "  }\n",
            "}\n",
            "\n",
            "train_input_reader: {\n",
            "  tf_record_input_reader {\n",
            "    input_path: \"/content/Train.record\"\n",
            "  }\n",
            "  label_map_path: \"/content/labelmap.pbtxt\"\n",
            "}\n",
            "\n",
            "eval_config: {\n",
            "  num_examples: 8000\n",
            "  # Note: The below line limits the evaluation process to 10 evaluations.\n",
            "  # Remove the below line to evaluate indefinitely.\n",
            "  max_evals: 10\n",
            "}\n",
            "\n",
            "eval_input_reader: {\n",
            "  tf_record_input_reader {\n",
            "    input_path: \"/content/Test.record\"\n",
            "  }\n",
            "  label_map_path: \"/content/labelmap.pbtxt\"\n",
            "  shuffle: false\n",
            "  num_readers: 1\n",
            "}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7kfxBWTiL2Zo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model_dir = 'training/'\n",
        "# Optionally remove content in output model directory to fresh start.\n",
        "!rm -rf {model_dir}\n",
        "os.makedirs(model_dir, exist_ok=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XzCfdxcHhGGK",
        "colab_type": "text"
      },
      "source": [
        "# **Run Tensorboard**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RoNBn9ddL47M",
        "colab_type": "code",
        "outputId": "3493873d-839a-4815-9255-68ef29614c04",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "source": [
        "!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
        "!unzip -o ngrok-stable-linux-amd64.zip"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2019-11-26 05:29:33--  https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
            "Resolving bin.equinox.io (bin.equinox.io)... 34.232.34.240, 3.227.43.216, 34.235.200.97, ...\n",
            "Connecting to bin.equinox.io (bin.equinox.io)|34.232.34.240|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 13773305 (13M) [application/octet-stream]\n",
            "Saving to: ‘ngrok-stable-linux-amd64.zip’\n",
            "\n",
            "ngrok-stable-linux- 100%[===================>]  13.13M  6.50MB/s    in 2.0s    \n",
            "\n",
            "2019-11-26 05:29:36 (6.50 MB/s) - ‘ngrok-stable-linux-amd64.zip’ saved [13773305/13773305]\n",
            "\n",
            "Archive:  ngrok-stable-linux-amd64.zip\n",
            "  inflating: ngrok                   \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pv-0ub3NL6_s",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "LOG_DIR = model_dir\n",
        "get_ipython().system_raw(\n",
        "    'tensorboard --logdir {} --host 0.0.0.0 --port 6006 &'\n",
        "    .format(LOG_DIR)\n",
        ")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eswPdHMaL9pO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "get_ipython().system_raw('./ngrok http 6006 &')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yFkO2nHmhPQi",
        "colab_type": "text"
      },
      "source": [
        "# **Get Tensorboard link**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2RKXaXWkMF0Z",
        "colab_type": "code",
        "outputId": "7228d3a4-a648-4c34-e843-a2c6bf0cde90",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "! curl -s http://localhost:4040/api/tunnels | python3 -c \\\n",
        "    \"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])\""
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "https://9ea8f3bf.ngrok.io\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V7PDj6rcMHq2",
        "colab_type": "code",
        "outputId": "0b036ae0-3211-4a6d-f798-a25dbbba5571",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!pwd"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/models/research\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "01TcMegBhUZA",
        "colab_type": "text"
      },
      "source": [
        "# **Train the model**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aU6PX4VIMJ4r",
        "colab_type": "code",
        "outputId": "5e44b8a4-19f2-42f5-9cee-f7dd7b173b52",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 20947
        }
      },
      "source": [
        "!python /content/models/research/object_detection/model_main.py \\\n",
        "    --pipeline_config_path={pipeline_fname} \\\n",
        "    --model_dir={model_dir} \\\n",
        "    --alsologtostderr \\\n",
        "    --num_train_steps={num_steps} \\\n",
        "    --num_eval_steps={num_eval_steps}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:\n",
            "The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
            "For more information, please see:\n",
            "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
            "  * https://github.com/tensorflow/addons\n",
            "  * https://github.com/tensorflow/io (for I/O related ops)\n",
            "If you depend on functionality not listed there, please file an issue.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/slim/nets/inception_resnet_v2.py:374: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/slim/nets/mobilenet/mobilenet.py:397: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_main.py:109: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "W1126 05:30:47.597582 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.\n",
            "\n",
            "W1126 05:30:47.601265 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.\n",
            "\n",
            "WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.\n",
            "W1126 05:30:47.601416 139673122871168 model_lib.py:629] Forced number of epochs for all eval validations to be 1.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.\n",
            "\n",
            "W1126 05:30:47.601547 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.\n",
            "\n",
            "INFO:tensorflow:Maybe overwriting train_steps: 5000\n",
            "I1126 05:30:47.601640 139673122871168 config_util.py:488] Maybe overwriting train_steps: 5000\n",
            "INFO:tensorflow:Maybe overwriting use_bfloat16: False\n",
            "I1126 05:30:47.601755 139673122871168 config_util.py:488] Maybe overwriting use_bfloat16: False\n",
            "INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1\n",
            "I1126 05:30:47.601848 139673122871168 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1\n",
            "INFO:tensorflow:Maybe overwriting eval_num_epochs: 1\n",
            "I1126 05:30:47.601936 139673122871168 config_util.py:488] Maybe overwriting eval_num_epochs: 1\n",
            "INFO:tensorflow:Maybe overwriting load_pretrained: True\n",
            "I1126 05:30:47.602012 139673122871168 config_util.py:488] Maybe overwriting load_pretrained: True\n",
            "INFO:tensorflow:Ignoring config override key: load_pretrained\n",
            "I1126 05:30:47.602096 139673122871168 config_util.py:498] Ignoring config override key: load_pretrained\n",
            "WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.\n",
            "W1126 05:30:47.602231 139673122871168 model_lib.py:645] Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.\n",
            "INFO:tensorflow:create_estimator_and_inputs: use_tpu False, export_to_tpu False\n",
            "I1126 05:30:47.602325 139673122871168 model_lib.py:680] create_estimator_and_inputs: use_tpu False, export_to_tpu False\n",
            "INFO:tensorflow:Using config: {'_model_dir': 'training/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n",
            "graph_options {\n",
            "  rewrite_options {\n",
            "    meta_optimizer_iterations: ONE\n",
            "  }\n",
            "}\n",
            ", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f07c8e3c5c0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}\n",
            "I1126 05:30:47.602757 139673122871168 estimator.py:212] Using config: {'_model_dir': 'training/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n",
            "graph_options {\n",
            "  rewrite_options {\n",
            "    meta_optimizer_iterations: ONE\n",
            "  }\n",
            "}\n",
            ", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f07c8e3c5c0>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}\n",
            "WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x7f07c8e39730>) includes params argument, but params are not passed to Estimator.\n",
            "W1126 05:30:47.602988 139673122871168 model_fn.py:630] Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x7f07c8e39730>) includes params argument, but params are not passed to Estimator.\n",
            "INFO:tensorflow:Not using Distribute Coordinator.\n",
            "I1126 05:30:47.603800 139673122871168 estimator_training.py:186] Not using Distribute Coordinator.\n",
            "INFO:tensorflow:Running training and evaluation locally (non-distributed).\n",
            "I1126 05:30:47.604019 139673122871168 training.py:612] Running training and evaluation locally (non-distributed).\n",
            "INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.\n",
            "I1126 05:30:47.604260 139673122871168 training.py:700] Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.\n",
            "W1126 05:30:47.609506 139673122871168 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.\n",
            "\n",
            "W1126 05:30:47.620543 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.\n",
            "\n",
            "W1126 05:30:47.620802 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.\n",
            "\n",
            "W1126 05:30:47.631850 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/builders/dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.\n",
            "\n",
            "WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.\n",
            "W1126 05:30:47.632943 139673122871168 dataset_builder.py:72] num_readers has been reduced to 1 to match input file shards.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:86: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.experimental.parallel_interleave(...)`.\n",
            "W1126 05:30:47.638133 139673122871168 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:86: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.experimental.parallel_interleave(...)`.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/data/python/ops/interleave_ops.py:77: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_determinstic`.\n",
            "W1126 05:30:47.638296 139673122871168 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/data/python/ops/interleave_ops.py:77: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_determinstic`.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:155: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.Dataset.map()\n",
            "W1126 05:30:47.660646 139673122871168 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:155: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.Dataset.map()\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.logging.warn is deprecated. Please use tf.compat.v1.logging.warn instead.\n",
            "\n",
            "W1126 05:30:48.869709 139673122871168 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.logging.warn is deprecated. Please use tf.compat.v1.logging.warn instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.\n",
            "\n",
            "W1126 05:30:55.646867 139673122871168 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/ops.py:493: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "W1126 05:30:55.723866 139673122871168 deprecation.py:323] From /content/models/research/object_detection/utils/ops.py:493: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "W1126 05:30:57.826702 139673122871168 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/operators/control_flow.py:1004: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "`seed2` arg is deprecated.Use sample_distorted_bounding_box_v2 instead.\n",
            "W1126 05:31:00.957557 139673122871168 api.py:332] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/operators/control_flow.py:1004: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "`seed2` arg is deprecated.Use sample_distorted_bounding_box_v2 instead.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.\n",
            "\n",
            "W1126 05:31:04.199231 139673122871168 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.\n",
            "\n",
            "W1126 05:31:04.200278 139673122871168 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/inputs.py:166: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.cast` instead.\n",
            "W1126 05:31:04.592964 139673122871168 deprecation.py:323] From /content/models/research/object_detection/inputs.py:166: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.cast` instead.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.\n",
            "\n",
            "W1126 05:31:06.269043 139673122871168 module_wrapper.py:139] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:158: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.Dataset.batch(..., drop_remainder=True)`.\n",
            "W1126 05:31:06.727989 139673122871168 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:158: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.data.Dataset.batch(..., drop_remainder=True)`.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I1126 05:31:06.740624 139673122871168 estimator.py:1148] Calling model_fn.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
            "\n",
            "W1126 05:31:06.945159 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/layers/python/layers/layers.py:2784: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `layer.__call__` method instead.\n",
            "W1126 05:31:06.947672 139673122871168 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/layers/python/layers/layers.py:2784: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `layer.__call__` method instead.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.\n",
            "\n",
            "W1126 05:31:10.217365 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.\n",
            "\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:31:10.227904 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:31:10.258450 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:31:10.287610 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:31:10.315576 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:31:10.348156 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:31:10.379479 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "W1126 05:31:10.414152 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/utils/variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.\n",
            "\n",
            "W1126 05:31:10.415466 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/utils/variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.\n",
            "\n",
            "W1126 05:31:10.417653 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.417789 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.417856 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.417927 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.417983 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_1a_7x7/depthwise_weights] is not available in checkpoint\n",
            "W1126 05:31:10.418047 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_1a_7x7/pointwise_weights] is not available in checkpoint\n",
            "W1126 05:31:10.418101 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.418151 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.418199 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.418247 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.418295 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.418342 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.418389 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.418435 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.418482 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.418529 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Conv2d_2c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.418575 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.418622 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.418668 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.418715 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.418784 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.418833 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.418881 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.418929 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.418977 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.419025 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.419073 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.419121 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.419169 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.419217 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.419265 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.419314 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.419362 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.419409 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.419457 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.419553 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.419603 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.419652 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.419700 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.419764 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.419814 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.419862 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.419910 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.419957 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.420005 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.420052 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.420100 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.420147 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.420195 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.420264 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.420318 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.420369 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.420419 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.420470 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.420524 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.420575 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.420635 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.420683 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.420752 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.420804 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.420856 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.420904 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.420953 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.421000 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.421048 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.421097 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.421146 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.421194 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.421241 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.421290 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.421339 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.421387 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.421435 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.421482 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.421530 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.421577 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.421625 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.421672 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.421751 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.445950 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.446056 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.446128 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.446198 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.446261 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.446325 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.446389 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.446452 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.446516 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.446578 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.446640 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.446714 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.446804 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.446868 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.446932 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.446992 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.447049 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.447111 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.447171 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.447236 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.447296 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.447373 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.447432 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.447504 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.447559 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.447617 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.447695 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.447786 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.447854 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.447916 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.447973 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.448029 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.448095 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.448148 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.448200 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.448252 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.448305 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.448360 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.448415 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.448471 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.448529 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.448606 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.448668 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.448751 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.448818 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.448882 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.448943 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.449007 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.449072 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.449135 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.449199 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.449264 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.449329 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.449390 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.449450 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.449509 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.449571 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.449636 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.449699 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.449778 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.449851 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.449909 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.449968 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.450026 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.450084 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.450139 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.450206 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.450260 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.450320 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.450379 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.450441 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.450516 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.450575 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.450644 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.450700 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.450801 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.450878 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.450957 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.451032 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.451097 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.451197 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.451267 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.451320 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.451372 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.546338 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.546481 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.546573 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.546649 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.546722 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.546837 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.546925 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.546994 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.547061 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.547129 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.547195 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.547277 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.547343 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.547411 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.547479 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.547547 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.547615 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.547680 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.547766 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.547839 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.547905 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.547970 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.548036 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.548103 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.548171 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.548248 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.548317 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.548384 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.548451 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.548545 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.548611 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.548689 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.548770 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.548837 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.548900 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.548963 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.549027 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.549091 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.549156 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.549221 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.549292 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.549356 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.549421 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.549485 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.549548 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.549630 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.549698 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.549790 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.549862 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.549930 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.549997 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.550065 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.550133 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.550201 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.550277 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.550345 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.550413 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.550480 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.550546 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.550614 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.550682 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.550767 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.550841 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.550909 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.550976 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.551042 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.551109 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.551176 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.551251 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.551320 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.551389 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.551457 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.551541 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.551609 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.551678 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.551766 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.551838 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.551906 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.551973 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.552041 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.552108 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.552185 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.552256 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.552323 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.552388 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.552450 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.552512 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.552575 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.552640 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.552705 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.552783 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.552847 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.552912 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.552977 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.553039 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.553101 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.553164 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.553236 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.553303 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.553384 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.553451 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.553520 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.553589 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.553655 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.553722 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.553810 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.553880 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.553948 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.554015 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.554081 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.554150 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.554244 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.554343 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.554415 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.554487 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.554560 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.554631 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.554712 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.554798 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.554868 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.554937 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.555003 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.555069 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.555137 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.555205 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.555282 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.555350 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.555417 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.555495 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.555560 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.555622 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.555684 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.555760 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.555827 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.555891 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.555953 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.556017 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.556081 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.556162 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.556236 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.556305 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.556373 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.556441 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.556507 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.556574 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.556641 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.556709 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.556795 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.556863 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.556931 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.556998 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.557065 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.557133 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.557200 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.557276 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.557352 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.557421 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.557488 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.557577 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.557659 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.557741 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.557813 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.557881 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.557948 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.558016 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.558083 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.558151 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.558218 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.558313 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.558398 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.558464 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.558531 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.558598 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.558668 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.558750 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.558821 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.558888 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.558956 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights] is not available in checkpoint\n",
            "W1126 05:31:10.559026 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.559092 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.559158 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.559232 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.559313 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights] is not available in checkpoint\n",
            "W1126 05:31:10.559376 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.559437 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.559499 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.559563 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.559627 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/weights] is not available in checkpoint\n",
            "W1126 05:31:10.559690 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.559769 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.559835 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.559901 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.559966 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/weights] is not available in checkpoint\n",
            "W1126 05:31:10.560029 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.560092 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.560156 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.560220 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.560292 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/weights] is not available in checkpoint\n",
            "W1126 05:31:10.560356 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.560439 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.560506 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.560574 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.560640 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/weights] is not available in checkpoint\n",
            "W1126 05:31:10.560707 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.560793 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.560863 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.560930 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.561010 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/weights] is not available in checkpoint\n",
            "W1126 05:31:10.561072 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.561137 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.561218 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.561314 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.561378 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/weights] is not available in checkpoint\n",
            "W1126 05:31:10.561463 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.561531 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.561598 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.561675 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.561755 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/weights] is not available in checkpoint\n",
            "W1126 05:31:10.561822 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/beta] is not available in checkpoint\n",
            "W1126 05:31:10.561886 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma] is not available in checkpoint\n",
            "W1126 05:31:10.561947 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean] is not available in checkpoint\n",
            "W1126 05:31:10.562034 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance] is not available in checkpoint\n",
            "W1126 05:31:10.562103 139673122871168 variables_helper.py:157] Variable [FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/weights] is not available in checkpoint\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:353: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.\n",
            "\n",
            "W1126 05:31:10.562575 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:353: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/box_coders/faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.\n",
            "\n",
            "W1126 05:31:10.690303 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/box_coders/faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1163: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.\n",
            "\n",
            "W1126 05:31:12.944281 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1163: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/core/losses.py:177: The name tf.losses.huber_loss is deprecated. Please use tf.compat.v1.losses.huber_loss instead.\n",
            "\n",
            "W1126 05:31:12.950193 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/core/losses.py:177: The name tf.losses.huber_loss is deprecated. Please use tf.compat.v1.losses.huber_loss instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/core/losses.py:183: The name tf.losses.Reduction is deprecated. Please use tf.compat.v1.losses.Reduction instead.\n",
            "\n",
            "W1126 05:31:12.951591 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/core/losses.py:183: The name tf.losses.Reduction is deprecated. Please use tf.compat.v1.losses.Reduction instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1275: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.\n",
            "\n",
            "W1126 05:31:13.321204 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1275: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:380: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.\n",
            "\n",
            "W1126 05:31:13.324397 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:380: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/learning_schedules.py:66: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.\n",
            "\n",
            "W1126 05:31:13.324690 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/utils/learning_schedules.py:66: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/builders/optimizer_builder.py:47: The name tf.train.RMSPropOptimizer is deprecated. Please use tf.compat.v1.train.RMSPropOptimizer instead.\n",
            "\n",
            "W1126 05:31:13.332280 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/builders/optimizer_builder.py:47: The name tf.train.RMSPropOptimizer is deprecated. Please use tf.compat.v1.train.RMSPropOptimizer instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:398: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.\n",
            "\n",
            "W1126 05:31:13.332534 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:398: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/rmsprop.py:119: calling Ones.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
            "W1126 05:31:15.745307 139673122871168 deprecation.py:506] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/rmsprop.py:119: calling Ones.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:515: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
            "\n",
            "W1126 05:31:22.349209 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:515: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:519: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.\n",
            "\n",
            "W1126 05:31:23.183955 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:519: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:520: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.\n",
            "\n",
            "W1126 05:31:23.184279 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:520: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.\n",
            "\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I1126 05:31:23.184869 139673122871168 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Create CheckpointSaverHook.\n",
            "I1126 05:31:23.186053 139673122871168 basic_session_run_hooks.py:541] Create CheckpointSaverHook.\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I1126 05:31:27.206329 139673122871168 monitored_session.py:240] Graph was finalized.\n",
            "2019-11-26 05:31:27.218147: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n",
            "2019-11-26 05:31:27.220385: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x198bb100 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2019-11-26 05:31:27.220433: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2019-11-26 05:31:27.225510: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2019-11-26 05:31:27.403245: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:31:27.404054: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x198bb800 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2019-11-26 05:31:27.404087: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2019-11-26 05:31:27.405223: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:31:27.405786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:31:27.421657: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:31:27.641826: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:31:27.773704: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:31:27.797645: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:31:28.085402: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:31:28.114540: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:31:28.577136: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:31:28.577433: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:31:28.578246: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:31:28.578810: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:31:28.582623: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:31:28.584189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:31:28.584231: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:31:28.584247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:31:28.585318: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:31:28.586031: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:31:28.586598: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n",
            "2019-11-26 05:31:28.586642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I1126 05:31:36.237259 139673122871168 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I1126 05:31:36.635232 139673122871168 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Saving checkpoints for 0 into training/model.ckpt.\n",
            "I1126 05:31:47.142204 139673122871168 basic_session_run_hooks.py:606] Saving checkpoints for 0 into training/model.ckpt.\n",
            "2019-11-26 05:31:58.274468: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:32:01.189927: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "INFO:tensorflow:loss = 29.329863, step = 0\n",
            "I1126 05:32:03.227057 139673122871168 basic_session_run_hooks.py:262] loss = 29.329863, step = 0\n",
            "INFO:tensorflow:global_step/sec: 2.80225\n",
            "I1126 05:32:38.911653 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 2.80225\n",
            "INFO:tensorflow:loss = 8.954749, step = 100 (35.686 sec)\n",
            "I1126 05:32:38.912762 139673122871168 basic_session_run_hooks.py:260] loss = 8.954749, step = 100 (35.686 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.36603\n",
            "I1126 05:33:08.620189 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.36603\n",
            "INFO:tensorflow:loss = 8.1257105, step = 200 (29.709 sec)\n",
            "I1126 05:33:08.621354 139673122871168 basic_session_run_hooks.py:260] loss = 8.1257105, step = 200 (29.709 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.31459\n",
            "I1126 05:33:38.789897 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.31459\n",
            "INFO:tensorflow:loss = 7.7355003, step = 300 (30.170 sec)\n",
            "I1126 05:33:38.791204 139673122871168 basic_session_run_hooks.py:260] loss = 7.7355003, step = 300 (30.170 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.33463\n",
            "I1126 05:34:08.778204 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.33463\n",
            "INFO:tensorflow:loss = 7.4222755, step = 400 (29.988 sec)\n",
            "I1126 05:34:08.779180 139673122871168 basic_session_run_hooks.py:260] loss = 7.4222755, step = 400 (29.988 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.30119\n",
            "I1126 05:34:39.070327 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.30119\n",
            "INFO:tensorflow:loss = 7.707701, step = 500 (30.292 sec)\n",
            "I1126 05:34:39.071304 139673122871168 basic_session_run_hooks.py:260] loss = 7.707701, step = 500 (30.292 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.29169\n",
            "I1126 05:35:09.449918 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.29169\n",
            "INFO:tensorflow:loss = 7.1585407, step = 600 (30.380 sec)\n",
            "I1126 05:35:09.450987 139673122871168 basic_session_run_hooks.py:260] loss = 7.1585407, step = 600 (30.380 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.37583\n",
            "I1126 05:35:39.072221 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.37583\n",
            "INFO:tensorflow:loss = 7.838291, step = 700 (29.622 sec)\n",
            "I1126 05:35:39.073110 139673122871168 basic_session_run_hooks.py:260] loss = 7.838291, step = 700 (29.622 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.41464\n",
            "I1126 05:36:08.357888 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.41464\n",
            "INFO:tensorflow:loss = 6.95062, step = 800 (29.286 sec)\n",
            "I1126 05:36:08.358963 139673122871168 basic_session_run_hooks.py:260] loss = 6.95062, step = 800 (29.286 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.41204\n",
            "I1126 05:36:37.665916 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.41204\n",
            "INFO:tensorflow:loss = 7.6015296, step = 900 (29.308 sec)\n",
            "I1126 05:36:37.666958 139673122871168 basic_session_run_hooks.py:260] loss = 7.6015296, step = 900 (29.308 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.65231\n",
            "I1126 05:37:05.045809 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.65231\n",
            "INFO:tensorflow:loss = 6.5239697, step = 1000 (27.380 sec)\n",
            "I1126 05:37:05.046698 139673122871168 basic_session_run_hooks.py:260] loss = 6.5239697, step = 1000 (27.380 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.55932\n",
            "I1126 05:37:33.140999 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.55932\n",
            "INFO:tensorflow:loss = 6.725933, step = 1100 (28.095 sec)\n",
            "I1126 05:37:33.142029 139673122871168 basic_session_run_hooks.py:260] loss = 6.725933, step = 1100 (28.095 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.554\n",
            "I1126 05:38:01.278297 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.554\n",
            "INFO:tensorflow:loss = 6.3479605, step = 1200 (28.138 sec)\n",
            "I1126 05:38:01.279587 139673122871168 basic_session_run_hooks.py:260] loss = 6.3479605, step = 1200 (28.138 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.56166\n",
            "I1126 05:38:29.355143 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.56166\n",
            "INFO:tensorflow:loss = 6.6806326, step = 1300 (28.077 sec)\n",
            "I1126 05:38:29.356197 139673122871168 basic_session_run_hooks.py:260] loss = 6.6806326, step = 1300 (28.077 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.41513\n",
            "I1126 05:38:58.636627 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.41513\n",
            "INFO:tensorflow:loss = 7.1477256, step = 1400 (29.281 sec)\n",
            "I1126 05:38:58.637662 139673122871168 basic_session_run_hooks.py:260] loss = 7.1477256, step = 1400 (29.281 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.42122\n",
            "I1126 05:39:27.865945 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.42122\n",
            "INFO:tensorflow:loss = 7.7886043, step = 1500 (29.229 sec)\n",
            "I1126 05:39:27.867082 139673122871168 basic_session_run_hooks.py:260] loss = 7.7886043, step = 1500 (29.229 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.37385\n",
            "I1126 05:39:57.505632 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.37385\n",
            "INFO:tensorflow:loss = 6.5963764, step = 1600 (29.640 sec)\n",
            "I1126 05:39:57.506617 139673122871168 basic_session_run_hooks.py:260] loss = 6.5963764, step = 1600 (29.640 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.47058\n",
            "I1126 05:40:26.319238 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.47058\n",
            "INFO:tensorflow:loss = 6.7866597, step = 1700 (28.814 sec)\n",
            "I1126 05:40:26.320533 139673122871168 basic_session_run_hooks.py:260] loss = 6.7866597, step = 1700 (28.814 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.46519\n",
            "I1126 05:40:55.177693 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.46519\n",
            "INFO:tensorflow:loss = 7.1576104, step = 1800 (28.858 sec)\n",
            "I1126 05:40:55.178813 139673122871168 basic_session_run_hooks.py:260] loss = 7.1576104, step = 1800 (28.858 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.56368\n",
            "I1126 05:41:23.238637 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.56368\n",
            "INFO:tensorflow:loss = 6.0241976, step = 1900 (28.061 sec)\n",
            "I1126 05:41:23.239814 139673122871168 basic_session_run_hooks.py:260] loss = 6.0241976, step = 1900 (28.061 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 1995 into training/model.ckpt.\n",
            "I1126 05:41:50.234949 139673122871168 basic_session_run_hooks.py:606] Saving checkpoints for 1995 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I1126 05:41:53.089426 139673122871168 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:41:55.853204 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:41:55.882675 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:41:55.911367 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:41:55.939620 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:41:55.967544 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:41:55.997448 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/eval_util.py:796: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.cast` instead.\n",
            "W1126 05:41:56.637707 139673122871168 deprecation.py:323] From /content/models/research/object_detection/eval_util.py:796: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.cast` instead.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/visualization_utils.py:498: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "tf.py_func is deprecated in TF V2. Instead, there are two\n",
            "    options available in V2.\n",
            "    - tf.py_function takes a python function which manipulates tf eager\n",
            "    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to\n",
            "    an ndarray (just call tensor.numpy()) but having access to eager tensors\n",
            "    means `tf.py_function`s can use accelerators such as GPUs as well as\n",
            "    being differentiable using a gradient tape.\n",
            "    - tf.numpy_function maintains the semantics of the deprecated tf.py_func\n",
            "    (it is not differentiable, and manipulates numpy arrays). It drops the\n",
            "    stateful argument making all functions stateful.\n",
            "    \n",
            "W1126 05:41:56.869919 139673122871168 deprecation.py:323] From /content/models/research/object_detection/utils/visualization_utils.py:498: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "tf.py_func is deprecated in TF V2. Instead, there are two\n",
            "    options available in V2.\n",
            "    - tf.py_function takes a python function which manipulates tf eager\n",
            "    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to\n",
            "    an ndarray (just call tensor.numpy()) but having access to eager tensors\n",
            "    means `tf.py_function`s can use accelerators such as GPUs as well as\n",
            "    being differentiable using a gradient tape.\n",
            "    - tf.numpy_function maintains the semantics of the deprecated tf.py_func\n",
            "    (it is not differentiable, and manipulates numpy arrays). It drops the\n",
            "    stateful argument making all functions stateful.\n",
            "    \n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/visualization_utils.py:1044: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.\n",
            "\n",
            "W1126 05:41:57.010355 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/utils/visualization_utils.py:1044: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:484: The name tf.metrics.mean is deprecated. Please use tf.compat.v1.metrics.mean instead.\n",
            "\n",
            "W1126 05:41:57.089479 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:484: The name tf.metrics.mean is deprecated. Please use tf.compat.v1.metrics.mean instead.\n",
            "\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I1126 05:41:57.438938 139673122871168 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2019-11-26T05:41:57Z\n",
            "I1126 05:41:57.454522 139673122871168 evaluation.py:255] Starting evaluation at 2019-11-26T05:41:57Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I1126 05:41:57.949431 139673122871168 monitored_session.py:240] Graph was finalized.\n",
            "2019-11-26 05:41:57.950580: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:41:57.951075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:41:57.954652: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:41:57.954776: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:41:57.954821: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:41:57.954854: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:41:57.954886: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:41:57.954913: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:41:57.954941: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:41:57.955076: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:41:57.955691: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:41:57.956206: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:41:57.956262: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:41:57.956278: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:41:57.956294: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:41:57.956434: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:41:57.957060: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:41:57.957561: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Restoring parameters from training/model.ckpt-1995\n",
            "I1126 05:41:57.958825 139673122871168 saver.py:1284] Restoring parameters from training/model.ckpt-1995\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I1126 05:41:59.083904 139673122871168 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I1126 05:41:59.240688 139673122871168 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 262 images.\n",
            "I1126 05:42:10.506414 139669419251456 coco_evaluation.py:205] Performing evaluation on 262 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I1126 05:42:10.507751 139669419251456 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.02s)\n",
            "I1126 05:42:10.525430 139669419251456 coco_tools.py:137] DONE (t=0.02s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=2.21s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.20s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.018\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.059\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.003\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.001\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.041\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.038\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.052\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.138\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.006\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.062\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.267\n",
            "INFO:tensorflow:Finished evaluation at 2019-11-26-05:42:13\n",
            "I1126 05:42:13.062565 139673122871168 evaluation.py:275] Finished evaluation at 2019-11-26-05:42:13\n",
            "INFO:tensorflow:Saving dict for global step 1995: DetectionBoxes_Precision/mAP = 0.018273853, DetectionBoxes_Precision/mAP (large) = 0.040664505, DetectionBoxes_Precision/mAP (medium) = 0.0006069433, DetectionBoxes_Precision/mAP (small) = 0.00021407547, DetectionBoxes_Precision/mAP@.50IOU = 0.059115387, DetectionBoxes_Precision/mAP@.75IOU = 0.0030518027, DetectionBoxes_Recall/AR@1 = 0.038085938, DetectionBoxes_Recall/AR@10 = 0.05234375, DetectionBoxes_Recall/AR@100 = 0.13769531, DetectionBoxes_Recall/AR@100 (large) = 0.26682693, DetectionBoxes_Recall/AR@100 (medium) = 0.062393162, DetectionBoxes_Recall/AR@100 (small) = 0.0057142857, Loss/classification_loss = 8.591999, Loss/localization_loss = 3.3404784, Loss/regularization_loss = 0.4904999, Loss/total_loss = 12.4229765, global_step = 1995, learning_rate = 0.004, loss = 12.4229765\n",
            "I1126 05:42:13.062898 139673122871168 estimator.py:2049] Saving dict for global step 1995: DetectionBoxes_Precision/mAP = 0.018273853, DetectionBoxes_Precision/mAP (large) = 0.040664505, DetectionBoxes_Precision/mAP (medium) = 0.0006069433, DetectionBoxes_Precision/mAP (small) = 0.00021407547, DetectionBoxes_Precision/mAP@.50IOU = 0.059115387, DetectionBoxes_Precision/mAP@.75IOU = 0.0030518027, DetectionBoxes_Recall/AR@1 = 0.038085938, DetectionBoxes_Recall/AR@10 = 0.05234375, DetectionBoxes_Recall/AR@100 = 0.13769531, DetectionBoxes_Recall/AR@100 (large) = 0.26682693, DetectionBoxes_Recall/AR@100 (medium) = 0.062393162, DetectionBoxes_Recall/AR@100 (small) = 0.0057142857, Loss/classification_loss = 8.591999, Loss/localization_loss = 3.3404784, Loss/regularization_loss = 0.4904999, Loss/total_loss = 12.4229765, global_step = 1995, learning_rate = 0.004, loss = 12.4229765\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1995: training/model.ckpt-1995\n",
            "I1126 05:42:13.915666 139673122871168 estimator.py:2109] Saving 'checkpoint_path' summary for global step 1995: training/model.ckpt-1995\n",
            "INFO:tensorflow:global_step/sec: 1.91409\n",
            "I1126 05:42:15.482669 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 1.91409\n",
            "INFO:tensorflow:loss = 7.2334957, step = 2000 (52.244 sec)\n",
            "I1126 05:42:15.483707 139673122871168 basic_session_run_hooks.py:260] loss = 7.2334957, step = 2000 (52.244 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.563\n",
            "I1126 05:42:43.548939 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.563\n",
            "INFO:tensorflow:loss = 6.9029636, step = 2100 (28.067 sec)\n",
            "I1126 05:42:43.550201 139673122871168 basic_session_run_hooks.py:260] loss = 6.9029636, step = 2100 (28.067 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.58853\n",
            "I1126 05:43:11.415459 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.58853\n",
            "INFO:tensorflow:loss = 5.95193, step = 2200 (27.866 sec)\n",
            "I1126 05:43:11.416617 139673122871168 basic_session_run_hooks.py:260] loss = 5.95193, step = 2200 (27.866 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.63589\n",
            "I1126 05:43:38.919028 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.63589\n",
            "INFO:tensorflow:loss = 6.197767, step = 2300 (27.504 sec)\n",
            "I1126 05:43:38.920470 139673122871168 basic_session_run_hooks.py:260] loss = 6.197767, step = 2300 (27.504 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.53909\n",
            "I1126 05:44:07.174877 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.53909\n",
            "INFO:tensorflow:loss = 6.599953, step = 2400 (28.255 sec)\n",
            "I1126 05:44:07.175781 139673122871168 basic_session_run_hooks.py:260] loss = 6.599953, step = 2400 (28.255 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.57553\n",
            "I1126 05:44:35.142712 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.57553\n",
            "INFO:tensorflow:loss = 6.4740577, step = 2500 (27.968 sec)\n",
            "I1126 05:44:35.143956 139673122871168 basic_session_run_hooks.py:260] loss = 6.4740577, step = 2500 (27.968 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.5655\n",
            "I1126 05:45:03.189342 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.5655\n",
            "INFO:tensorflow:loss = 5.7866693, step = 2600 (28.046 sec)\n",
            "I1126 05:45:03.190391 139673122871168 basic_session_run_hooks.py:260] loss = 5.7866693, step = 2600 (28.046 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.57683\n",
            "I1126 05:45:31.146986 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.57683\n",
            "INFO:tensorflow:loss = 6.1797156, step = 2700 (27.958 sec)\n",
            "I1126 05:45:31.147987 139673122871168 basic_session_run_hooks.py:260] loss = 6.1797156, step = 2700 (27.958 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.57379\n",
            "I1126 05:45:59.128435 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.57379\n",
            "INFO:tensorflow:loss = 6.530318, step = 2800 (27.981 sec)\n",
            "I1126 05:45:59.129426 139673122871168 basic_session_run_hooks.py:260] loss = 6.530318, step = 2800 (27.981 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.56648\n",
            "I1126 05:46:27.167365 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.56648\n",
            "INFO:tensorflow:loss = 6.122555, step = 2900 (28.040 sec)\n",
            "I1126 05:46:27.168956 139673122871168 basic_session_run_hooks.py:260] loss = 6.122555, step = 2900 (28.040 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.62539\n",
            "I1126 05:46:54.750580 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.62539\n",
            "INFO:tensorflow:loss = 6.335319, step = 3000 (27.583 sec)\n",
            "I1126 05:46:54.751740 139673122871168 basic_session_run_hooks.py:260] loss = 6.335319, step = 3000 (27.583 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.62099\n",
            "I1126 05:47:22.367396 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.62099\n",
            "INFO:tensorflow:loss = 5.330768, step = 3100 (27.617 sec)\n",
            "I1126 05:47:22.368745 139673122871168 basic_session_run_hooks.py:260] loss = 5.330768, step = 3100 (27.617 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.56929\n",
            "I1126 05:47:50.384113 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.56929\n",
            "INFO:tensorflow:loss = 6.6208663, step = 3200 (28.016 sec)\n",
            "I1126 05:47:50.385186 139673122871168 basic_session_run_hooks.py:260] loss = 6.6208663, step = 3200 (28.016 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.57581\n",
            "I1126 05:48:18.349759 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.57581\n",
            "INFO:tensorflow:loss = 8.146595, step = 3300 (27.966 sec)\n",
            "I1126 05:48:18.350853 139673122871168 basic_session_run_hooks.py:260] loss = 8.146595, step = 3300 (27.966 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.59018\n",
            "I1126 05:48:46.203527 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.59018\n",
            "INFO:tensorflow:loss = 5.880995, step = 3400 (27.854 sec)\n",
            "I1126 05:48:46.204589 139673122871168 basic_session_run_hooks.py:260] loss = 5.880995, step = 3400 (27.854 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.54155\n",
            "I1126 05:49:14.439770 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.54155\n",
            "INFO:tensorflow:loss = 6.751203, step = 3500 (28.236 sec)\n",
            "I1126 05:49:14.440968 139673122871168 basic_session_run_hooks.py:260] loss = 6.751203, step = 3500 (28.236 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.59187\n",
            "I1126 05:49:42.280328 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.59187\n",
            "INFO:tensorflow:loss = 5.7596045, step = 3600 (27.840 sec)\n",
            "I1126 05:49:42.281409 139673122871168 basic_session_run_hooks.py:260] loss = 5.7596045, step = 3600 (27.840 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.58215\n",
            "I1126 05:50:10.196509 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.58215\n",
            "INFO:tensorflow:loss = 5.9817595, step = 3700 (27.916 sec)\n",
            "I1126 05:50:10.197421 139673122871168 basic_session_run_hooks.py:260] loss = 5.9817595, step = 3700 (27.916 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.68202\n",
            "I1126 05:50:37.355551 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.68202\n",
            "INFO:tensorflow:loss = 6.36169, step = 3800 (27.159 sec)\n",
            "I1126 05:50:37.356525 139673122871168 basic_session_run_hooks.py:260] loss = 6.36169, step = 3800 (27.159 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.60461\n",
            "I1126 05:51:05.097892 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.60461\n",
            "INFO:tensorflow:loss = 5.6577344, step = 3900 (27.743 sec)\n",
            "I1126 05:51:05.099056 139673122871168 basic_session_run_hooks.py:260] loss = 5.6577344, step = 3900 (27.743 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.65998\n",
            "I1126 05:51:32.420331 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.65998\n",
            "INFO:tensorflow:loss = 5.965969, step = 4000 (27.322 sec)\n",
            "I1126 05:51:32.421493 139673122871168 basic_session_run_hooks.py:260] loss = 5.965969, step = 4000 (27.322 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 4066 into training/model.ckpt.\n",
            "I1126 05:51:50.257802 139673122871168 basic_session_run_hooks.py:606] Saving checkpoints for 4066 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I1126 05:51:53.002998 139673122871168 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:51:55.904568 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:51:55.935009 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:51:55.964194 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:51:55.993975 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:51:56.023352 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:51:56.054244 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I1126 05:51:57.497416 139673122871168 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2019-11-26T05:51:57Z\n",
            "I1126 05:51:57.513564 139673122871168 evaluation.py:255] Starting evaluation at 2019-11-26T05:51:57Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I1126 05:51:58.023510 139673122871168 monitored_session.py:240] Graph was finalized.\n",
            "2019-11-26 05:51:58.024284: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:51:58.024822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:51:58.024926: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:51:58.024945: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:51:58.024960: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:51:58.024975: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:51:58.024989: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:51:58.025003: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:51:58.025018: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:51:58.025123: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:51:58.025627: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:51:58.026097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:51:58.026142: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:51:58.026153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:51:58.026163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:51:58.026276: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:51:58.026822: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:51:58.027327: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Restoring parameters from training/model.ckpt-4066\n",
            "I1126 05:51:58.028321 139673122871168 saver.py:1284] Restoring parameters from training/model.ckpt-4066\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I1126 05:51:59.185414 139673122871168 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I1126 05:51:59.341460 139673122871168 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 262 images.\n",
            "I1126 05:52:10.085542 139669419251456 coco_evaluation.py:205] Performing evaluation on 262 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I1126 05:52:10.087095 139669419251456 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.02s)\n",
            "I1126 05:52:10.105376 139669419251456 coco_tools.py:137] DONE (t=0.02s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=2.20s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.20s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.063\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.166\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.031\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.015\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.139\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.087\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.139\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.219\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.118\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.407\n",
            "INFO:tensorflow:Finished evaluation at 2019-11-26-05:52:12\n",
            "I1126 05:52:12.636216 139673122871168 evaluation.py:275] Finished evaluation at 2019-11-26-05:52:12\n",
            "INFO:tensorflow:Saving dict for global step 4066: DetectionBoxes_Precision/mAP = 0.06344833, DetectionBoxes_Precision/mAP (large) = 0.1387983, DetectionBoxes_Precision/mAP (medium) = 0.015075824, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.16642027, DetectionBoxes_Precision/mAP@.75IOU = 0.03126945, DetectionBoxes_Recall/AR@1 = 0.0875, DetectionBoxes_Recall/AR@10 = 0.13945313, DetectionBoxes_Recall/AR@100 = 0.21933594, DetectionBoxes_Recall/AR@100 (large) = 0.40721154, DetectionBoxes_Recall/AR@100 (medium) = 0.11794872, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 5.0084305, Loss/localization_loss = 2.4038324, Loss/regularization_loss = 0.4897366, Loss/total_loss = 7.901998, global_step = 4066, learning_rate = 0.004, loss = 7.901998\n",
            "I1126 05:52:12.636542 139673122871168 estimator.py:2049] Saving dict for global step 4066: DetectionBoxes_Precision/mAP = 0.06344833, DetectionBoxes_Precision/mAP (large) = 0.1387983, DetectionBoxes_Precision/mAP (medium) = 0.015075824, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.16642027, DetectionBoxes_Precision/mAP@.75IOU = 0.03126945, DetectionBoxes_Recall/AR@1 = 0.0875, DetectionBoxes_Recall/AR@10 = 0.13945313, DetectionBoxes_Recall/AR@100 = 0.21933594, DetectionBoxes_Recall/AR@100 (large) = 0.40721154, DetectionBoxes_Recall/AR@100 (medium) = 0.11794872, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 5.0084305, Loss/localization_loss = 2.4038324, Loss/regularization_loss = 0.4897366, Loss/total_loss = 7.901998, global_step = 4066, learning_rate = 0.004, loss = 7.901998\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 4066: training/model.ckpt-4066\n",
            "I1126 05:52:12.639240 139673122871168 estimator.py:2109] Saving 'checkpoint_path' summary for global step 4066: training/model.ckpt-4066\n",
            "INFO:tensorflow:global_step/sec: 2.01775\n",
            "I1126 05:52:21.980500 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 2.01775\n",
            "INFO:tensorflow:loss = 8.03347, step = 4100 (49.560 sec)\n",
            "I1126 05:52:21.981820 139673122871168 basic_session_run_hooks.py:260] loss = 8.03347, step = 4100 (49.560 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.61608\n",
            "I1126 05:52:49.634765 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.61608\n",
            "INFO:tensorflow:loss = 6.8455486, step = 4200 (27.654 sec)\n",
            "I1126 05:52:49.635911 139673122871168 basic_session_run_hooks.py:260] loss = 6.8455486, step = 4200 (27.654 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.74562\n",
            "I1126 05:53:16.332662 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.74562\n",
            "INFO:tensorflow:loss = 5.085469, step = 4300 (26.698 sec)\n",
            "I1126 05:53:16.333815 139673122871168 basic_session_run_hooks.py:260] loss = 5.085469, step = 4300 (26.698 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.71038\n",
            "I1126 05:53:43.283980 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.71038\n",
            "INFO:tensorflow:loss = 5.8347735, step = 4400 (26.951 sec)\n",
            "I1126 05:53:43.284960 139673122871168 basic_session_run_hooks.py:260] loss = 5.8347735, step = 4400 (26.951 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.67608\n",
            "I1126 05:54:10.486893 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.67608\n",
            "INFO:tensorflow:loss = 6.1159883, step = 4500 (27.203 sec)\n",
            "I1126 05:54:10.487974 139673122871168 basic_session_run_hooks.py:260] loss = 6.1159883, step = 4500 (27.203 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.67517\n",
            "I1126 05:54:37.696565 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.67517\n",
            "INFO:tensorflow:loss = 6.1346645, step = 4600 (27.210 sec)\n",
            "I1126 05:54:37.698008 139673122871168 basic_session_run_hooks.py:260] loss = 6.1346645, step = 4600 (27.210 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.71266\n",
            "I1126 05:55:04.631397 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.71266\n",
            "INFO:tensorflow:loss = 5.708528, step = 4700 (26.934 sec)\n",
            "I1126 05:55:04.632466 139673122871168 basic_session_run_hooks.py:260] loss = 5.708528, step = 4700 (26.934 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.72346\n",
            "I1126 05:55:31.488116 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.72346\n",
            "INFO:tensorflow:loss = 5.357915, step = 4800 (26.857 sec)\n",
            "I1126 05:55:31.489235 139673122871168 basic_session_run_hooks.py:260] loss = 5.357915, step = 4800 (26.857 sec)\n",
            "INFO:tensorflow:global_step/sec: 3.70327\n",
            "I1126 05:55:58.491284 139673122871168 basic_session_run_hooks.py:692] global_step/sec: 3.70327\n",
            "INFO:tensorflow:loss = 5.662825, step = 4900 (27.003 sec)\n",
            "I1126 05:55:58.492531 139673122871168 basic_session_run_hooks.py:260] loss = 5.662825, step = 4900 (27.003 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 5000 into training/model.ckpt.\n",
            "I1126 05:56:25.517313 139673122871168 basic_session_run_hooks.py:606] Saving checkpoints for 5000 into training/model.ckpt.\n",
            "INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "I1126 05:56:27.537954 139673122871168 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I1126 05:56:28.196595 139673122871168 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:30.746009 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:30.779567 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:30.811615 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:30.842101 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:30.874934 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:30.903105 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I1126 05:56:32.608548 139673122871168 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2019-11-26T05:56:32Z\n",
            "I1126 05:56:32.624305 139673122871168 evaluation.py:255] Starting evaluation at 2019-11-26T05:56:32Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I1126 05:56:33.131897 139673122871168 monitored_session.py:240] Graph was finalized.\n",
            "2019-11-26 05:56:33.132605: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:33.133170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:56:33.133283: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:56:33.133303: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:56:33.133321: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:56:33.133336: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:56:33.133350: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:56:33.133366: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:56:33.133385: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:56:33.133480: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:33.134024: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:33.134407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:56:33.134445: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:56:33.134455: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:56:33.134463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:56:33.134556: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:33.135037: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:33.135452: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Restoring parameters from training/model.ckpt-5000\n",
            "I1126 05:56:33.136695 139673122871168 saver.py:1284] Restoring parameters from training/model.ckpt-5000\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I1126 05:56:34.322831 139673122871168 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I1126 05:56:34.483440 139673122871168 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 262 images.\n",
            "I1126 05:56:46.096529 139669419251456 coco_evaluation.py:205] Performing evaluation on 262 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I1126 05:56:46.099987 139669419251456 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.02s)\n",
            "I1126 05:56:46.119392 139669419251456 coco_tools.py:137] DONE (t=0.02s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=2.38s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.23s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.073\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.190\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.038\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.002\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.022\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.156\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.096\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.152\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.221\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.001\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.117\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.412\n",
            "INFO:tensorflow:Finished evaluation at 2019-11-26-05:56:48\n",
            "I1126 05:56:48.878572 139673122871168 evaluation.py:275] Finished evaluation at 2019-11-26-05:56:48\n",
            "INFO:tensorflow:Saving dict for global step 5000: DetectionBoxes_Precision/mAP = 0.07302679, DetectionBoxes_Precision/mAP (large) = 0.15640971, DetectionBoxes_Precision/mAP (medium) = 0.021941101, DetectionBoxes_Precision/mAP (small) = 0.001980198, DetectionBoxes_Precision/mAP@.50IOU = 0.18984595, DetectionBoxes_Precision/mAP@.75IOU = 0.0384775, DetectionBoxes_Recall/AR@1 = 0.095507815, DetectionBoxes_Recall/AR@10 = 0.15214844, DetectionBoxes_Recall/AR@100 = 0.22089843, DetectionBoxes_Recall/AR@100 (large) = 0.41201922, DetectionBoxes_Recall/AR@100 (medium) = 0.11666667, DetectionBoxes_Recall/AR@100 (small) = 0.0014285714, Loss/classification_loss = 5.192253, Loss/localization_loss = 2.264297, Loss/regularization_loss = 0.4896301, Loss/total_loss = 7.946177, global_step = 5000, learning_rate = 0.004, loss = 7.946177\n",
            "I1126 05:56:48.879089 139673122871168 estimator.py:2049] Saving dict for global step 5000: DetectionBoxes_Precision/mAP = 0.07302679, DetectionBoxes_Precision/mAP (large) = 0.15640971, DetectionBoxes_Precision/mAP (medium) = 0.021941101, DetectionBoxes_Precision/mAP (small) = 0.001980198, DetectionBoxes_Precision/mAP@.50IOU = 0.18984595, DetectionBoxes_Precision/mAP@.75IOU = 0.0384775, DetectionBoxes_Recall/AR@1 = 0.095507815, DetectionBoxes_Recall/AR@10 = 0.15214844, DetectionBoxes_Recall/AR@100 = 0.22089843, DetectionBoxes_Recall/AR@100 (large) = 0.41201922, DetectionBoxes_Recall/AR@100 (medium) = 0.11666667, DetectionBoxes_Recall/AR@100 (small) = 0.0014285714, Loss/classification_loss = 5.192253, Loss/localization_loss = 2.264297, Loss/regularization_loss = 0.4896301, Loss/total_loss = 7.946177, global_step = 5000, learning_rate = 0.004, loss = 7.946177\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 5000: training/model.ckpt-5000\n",
            "I1126 05:56:48.882122 139673122871168 estimator.py:2109] Saving 'checkpoint_path' summary for global step 5000: training/model.ckpt-5000\n",
            "INFO:tensorflow:Performing the final export in the end of training.\n",
            "I1126 05:56:48.882923 139673122871168 exporter.py:410] Performing the final export in the end of training.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/inputs.py:750: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "W1126 05:56:48.888055 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/inputs.py:750: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I1126 05:56:49.118599 139673122871168 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:51.768029 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:51.801829 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:51.833683 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:51.866298 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:51.898139 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:56:51.930529 139673122871168 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:426: The name tf.saved_model.signature_constants.PREDICT_METHOD_NAME is deprecated. Please use tf.saved_model.PREDICT_METHOD_NAME instead.\n",
            "\n",
            "W1126 05:56:52.364538 139673122871168 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:426: The name tf.saved_model.signature_constants.PREDICT_METHOD_NAME is deprecated. Please use tf.saved_model.PREDICT_METHOD_NAME instead.\n",
            "\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I1126 05:56:52.707244 139673122871168 estimator.py:1150] Done calling model_fn.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n",
            "W1126 05:56:52.707671 139673122871168 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n",
            "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
            "I1126 05:56:52.708487 139673122871168 export_utils.py:170] Signatures INCLUDED in export for Classify: None\n",
            "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
            "I1126 05:56:52.708621 139673122871168 export_utils.py:170] Signatures INCLUDED in export for Regress: None\n",
            "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['tensorflow/serving/predict', 'serving_default']\n",
            "I1126 05:56:52.708716 139673122871168 export_utils.py:170] Signatures INCLUDED in export for Predict: ['tensorflow/serving/predict', 'serving_default']\n",
            "INFO:tensorflow:Signatures INCLUDED in export for Train: None\n",
            "I1126 05:56:52.708812 139673122871168 export_utils.py:170] Signatures INCLUDED in export for Train: None\n",
            "INFO:tensorflow:Signatures INCLUDED in export for Eval: None\n",
            "I1126 05:56:52.708886 139673122871168 export_utils.py:170] Signatures INCLUDED in export for Eval: None\n",
            "2019-11-26 05:56:52.709657: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:52.710278: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:56:52.710391: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:56:52.710420: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:56:52.710446: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:56:52.710475: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:56:52.710519: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:56:52.710546: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:56:52.710573: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:56:52.710696: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:52.711304: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:52.711796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:56:52.711909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:56:52.711930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:56:52.711940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:56:52.712067: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:52.712624: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:56:52.713123: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Restoring parameters from training/model.ckpt-5000\n",
            "I1126 05:56:52.715978 139673122871168 saver.py:1284] Restoring parameters from training/model.ckpt-5000\n",
            "INFO:tensorflow:Assets added to graph.\n",
            "I1126 05:56:53.392756 139673122871168 builder_impl.py:665] Assets added to graph.\n",
            "INFO:tensorflow:No assets to write.\n",
            "I1126 05:56:53.393007 139673122871168 builder_impl.py:460] No assets to write.\n",
            "INFO:tensorflow:SavedModel written to: training/export/Servo/temp-b'1574747808'/saved_model.pb\n",
            "I1126 05:56:54.358370 139673122871168 builder_impl.py:425] SavedModel written to: training/export/Servo/temp-b'1574747808'/saved_model.pb\n",
            "INFO:tensorflow:Loss for final step: 4.843994.\n",
            "I1126 05:56:54.786884 139673122871168 estimator.py:371] Loss for final step: 4.843994.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r8xU9wkGMMXH",
        "colab_type": "code",
        "outputId": "4efdec4b-35f2-43cc-a9f8-eb5efcf55f4b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "!ls {model_dir}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "checkpoint\n",
            "eval_0\n",
            "events.out.tfevents.1574746284.5fea76352f2f\n",
            "export\n",
            "graph.pbtxt\n",
            "model.ckpt-0.data-00000-of-00001\n",
            "model.ckpt-0.index\n",
            "model.ckpt-0.meta\n",
            "model.ckpt-1995.data-00000-of-00001\n",
            "model.ckpt-1995.index\n",
            "model.ckpt-1995.meta\n",
            "model.ckpt-4066.data-00000-of-00001\n",
            "model.ckpt-4066.index\n",
            "model.ckpt-4066.meta\n",
            "model.ckpt-5000.data-00000-of-00001\n",
            "model.ckpt-5000.index\n",
            "model.ckpt-5000.meta\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XFnbfnXMhf0M",
        "colab_type": "text"
      },
      "source": [
        "# **Exporting a Trained Inference Graph**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NXGrgHFJMPd1",
        "colab_type": "code",
        "outputId": "16ce120d-f140-459f-b6e6-88d0941af104",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 13365
        }
      },
      "source": [
        "import re\n",
        "import numpy as np\n",
        "\n",
        "output_directory = './fine_tuned_model'\n",
        "\n",
        "lst = os.listdir(model_dir)\n",
        "lst = [l for l in lst if 'model.ckpt-' in l and '.meta' in l]\n",
        "steps=np.array([int(re.findall('\\d+', l)[0]) for l in lst])\n",
        "last_model = lst[steps.argmax()].replace('.meta', '')\n",
        "\n",
        "last_model_path = os.path.join(model_dir, last_model)\n",
        "print(last_model_path)\n",
        "!python /content/models/research/object_detection/export_inference_graph.py \\\n",
        "    --input_type=image_tensor \\\n",
        "    --pipeline_config_path={pipeline_fname} \\\n",
        "    --output_directory={output_directory} \\\n",
        "    --trained_checkpoint_prefix={last_model_path}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "training/model.ckpt-5000\n",
            "WARNING:tensorflow:\n",
            "The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
            "For more information, please see:\n",
            "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
            "  * https://github.com/tensorflow/addons\n",
            "  * https://github.com/tensorflow/io (for I/O related ops)\n",
            "If you depend on functionality not listed there, please file an issue.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/slim/nets/inception_resnet_v2.py:374: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/slim/nets/mobilenet/mobilenet.py:397: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/export_inference_graph.py:162: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/export_inference_graph.py:145: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "W1126 05:57:05.259989 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/export_inference_graph.py:145: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:402: The name tf.gfile.MakeDirs is deprecated. Please use tf.io.gfile.makedirs instead.\n",
            "\n",
            "W1126 05:57:05.265626 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:402: The name tf.gfile.MakeDirs is deprecated. Please use tf.io.gfile.makedirs instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:121: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "W1126 05:57:05.265919 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:121: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.\n",
            "\n",
            "W1126 05:57:05.297756 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
            "\n",
            "W1126 05:57:05.324040 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/layers/python/layers/layers.py:2784: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `layer.__call__` method instead.\n",
            "W1126 05:57:05.326324 140355811338112 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/layers/python/layers/layers.py:2784: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `layer.__call__` method instead.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.\n",
            "\n",
            "W1126 05:57:07.989288 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/predictors/convolutional_box_predictor.py:150: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.\n",
            "\n",
            "W1126 05:57:08.000038 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/predictors/convolutional_box_predictor.py:150: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.\n",
            "\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:57:08.000222 140355811338112 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:57:08.036690 140355811338112 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:57:08.073754 140355811338112 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:57:08.110149 140355811338112 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:57:08.146165 140355811338112 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I1126 05:57:08.183167 140355811338112 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/core/post_processing.py:581: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "W1126 05:57:08.431256 140355811338112 deprecation.py:323] From /content/models/research/object_detection/core/post_processing.py:581: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:278: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.\n",
            "\n",
            "W1126 05:57:08.750135 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:278: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:383: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please switch to tf.train.get_or_create_global_step\n",
            "W1126 05:57:08.750425 140355811338112 deprecation.py:323] From /content/models/research/object_detection/exporter.py:383: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please switch to tf.train.get_or_create_global_step\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:415: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "W1126 05:57:08.753417 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:415: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:539: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.\n",
            "Instructions for updating:\n",
            "Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details\n",
            "W1126 05:57:08.753590 140355811338112 deprecation.py:323] From /content/models/research/object_detection/exporter.py:539: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.\n",
            "Instructions for updating:\n",
            "Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`\n",
            "W1126 05:57:08.754545 140355811338112 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`\n",
            "163 ops no flops stats due to incomplete shapes.\n",
            "Parsing Inputs...\n",
            "Incomplete shape.\n",
            "\n",
            "=========================Options=============================\n",
            "-max_depth                  10000\n",
            "-min_bytes                  0\n",
            "-min_peak_bytes             0\n",
            "-min_residual_bytes         0\n",
            "-min_output_bytes           0\n",
            "-min_micros                 0\n",
            "-min_accelerator_micros     0\n",
            "-min_cpu_micros             0\n",
            "-min_params                 0\n",
            "-min_float_ops              0\n",
            "-min_occurrence             0\n",
            "-step                       -1\n",
            "-order_by                   name\n",
            "-account_type_regexes       _trainable_variables\n",
            "-start_name_regexes         .*\n",
            "-trim_name_regexes          .*BatchNorm.*\n",
            "-show_name_regexes          .*\n",
            "-hide_name_regexes          \n",
            "-account_displayed_op_only  true\n",
            "-select                     params\n",
            "-output                     stdout:\n",
            "\n",
            "==================Model Analysis Report======================\n",
            "Incomplete shape.\n",
            "\n",
            "Doc:\n",
            "scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.\n",
            "param: Number of parameters (in the Variable).\n",
            "\n",
            "Profile:\n",
            "node name | # parameters\n",
            "_TFProfRoot (--/13.16m params)\n",
            "  BoxPredictor_0 (--/93.33k params)\n",
            "    BoxPredictor_0/BoxEncodingPredictor (--/62.22k params)\n",
            "      BoxPredictor_0/BoxEncodingPredictor/biases (12, 12/12 params)\n",
            "      BoxPredictor_0/BoxEncodingPredictor/weights (3x3x576x12, 62.21k/62.21k params)\n",
            "    BoxPredictor_0/ClassPredictor (--/31.11k params)\n",
            "      BoxPredictor_0/ClassPredictor/biases (6, 6/6 params)\n",
            "      BoxPredictor_0/ClassPredictor/weights (3x3x576x6, 31.10k/31.10k params)\n",
            "  BoxPredictor_1 (--/331.81k params)\n",
            "    BoxPredictor_1/BoxEncodingPredictor (--/221.21k params)\n",
            "      BoxPredictor_1/BoxEncodingPredictor/biases (24, 24/24 params)\n",
            "      BoxPredictor_1/BoxEncodingPredictor/weights (3x3x1024x24, 221.18k/221.18k params)\n",
            "    BoxPredictor_1/ClassPredictor (--/110.60k params)\n",
            "      BoxPredictor_1/ClassPredictor/biases (12, 12/12 params)\n",
            "      BoxPredictor_1/ClassPredictor/weights (3x3x1024x12, 110.59k/110.59k params)\n",
            "  BoxPredictor_2 (--/165.92k params)\n",
            "    BoxPredictor_2/BoxEncodingPredictor (--/110.62k params)\n",
            "      BoxPredictor_2/BoxEncodingPredictor/biases (24, 24/24 params)\n",
            "      BoxPredictor_2/BoxEncodingPredictor/weights (3x3x512x24, 110.59k/110.59k params)\n",
            "    BoxPredictor_2/ClassPredictor (--/55.31k params)\n",
            "      BoxPredictor_2/ClassPredictor/biases (12, 12/12 params)\n",
            "      BoxPredictor_2/ClassPredictor/weights (3x3x512x12, 55.30k/55.30k params)\n",
            "  BoxPredictor_3 (--/82.98k params)\n",
            "    BoxPredictor_3/BoxEncodingPredictor (--/55.32k params)\n",
            "      BoxPredictor_3/BoxEncodingPredictor/biases (24, 24/24 params)\n",
            "      BoxPredictor_3/BoxEncodingPredictor/weights (3x3x256x24, 55.30k/55.30k params)\n",
            "    BoxPredictor_3/ClassPredictor (--/27.66k params)\n",
            "      BoxPredictor_3/ClassPredictor/biases (12, 12/12 params)\n",
            "      BoxPredictor_3/ClassPredictor/weights (3x3x256x12, 27.65k/27.65k params)\n",
            "  BoxPredictor_4 (--/82.98k params)\n",
            "    BoxPredictor_4/BoxEncodingPredictor (--/55.32k params)\n",
            "      BoxPredictor_4/BoxEncodingPredictor/biases (24, 24/24 params)\n",
            "      BoxPredictor_4/BoxEncodingPredictor/weights (3x3x256x24, 55.30k/55.30k params)\n",
            "    BoxPredictor_4/ClassPredictor (--/27.66k params)\n",
            "      BoxPredictor_4/ClassPredictor/biases (12, 12/12 params)\n",
            "      BoxPredictor_4/ClassPredictor/weights (3x3x256x12, 27.65k/27.65k params)\n",
            "  BoxPredictor_5 (--/41.51k params)\n",
            "    BoxPredictor_5/BoxEncodingPredictor (--/27.67k params)\n",
            "      BoxPredictor_5/BoxEncodingPredictor/biases (24, 24/24 params)\n",
            "      BoxPredictor_5/BoxEncodingPredictor/weights (3x3x128x24, 27.65k/27.65k params)\n",
            "    BoxPredictor_5/ClassPredictor (--/13.84k params)\n",
            "      BoxPredictor_5/ClassPredictor/biases (12, 12/12 params)\n",
            "      BoxPredictor_5/ClassPredictor/weights (3x3x128x12, 13.82k/13.82k params)\n",
            "  FeatureExtractor (--/12.36m params)\n",
            "    FeatureExtractor/InceptionV2 (--/12.36m params)\n",
            "      FeatureExtractor/InceptionV2/Conv2d_1a_7x7 (--/2.71k params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_1a_7x7/depthwise_weights (7x7x3x8, 1.18k/1.18k params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_1a_7x7/pointwise_weights (1x1x24x64, 1.54k/1.54k params)\n",
            "      FeatureExtractor/InceptionV2/Conv2d_2b_1x1 (--/4.10k params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_2b_1x1/weights (1x1x64x64, 4.10k/4.10k params)\n",
            "      FeatureExtractor/InceptionV2/Conv2d_2c_3x3 (--/110.59k params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Conv2d_2c_3x3/weights (3x3x64x192, 110.59k/110.59k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_3b (--/218.11k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3b/Branch_0 (--/12.29k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1 (--/12.29k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/weights (1x1x192x64, 12.29k/12.29k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3b/Branch_1 (--/49.15k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1 (--/12.29k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/weights (1x1x192x64, 12.29k/12.29k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3 (--/36.86k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/weights (3x3x64x64, 36.86k/36.86k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3b/Branch_2 (--/150.53k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1 (--/12.29k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/weights (1x1x192x64, 12.29k/12.29k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3 (--/82.94k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/weights (3x3x96x96, 82.94k/82.94k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3b/Branch_3 (--/6.14k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1 (--/6.14k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/weights (1x1x192x32, 6.14k/6.14k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_3c (--/259.07k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3c/Branch_0 (--/16.38k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1 (--/16.38k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/weights (1x1x256x64, 16.38k/16.38k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3c/Branch_1 (--/71.68k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1 (--/16.38k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/weights (1x1x256x64, 16.38k/16.38k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3c/Branch_2 (--/154.62k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1 (--/16.38k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/weights (1x1x256x64, 16.38k/16.38k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3 (--/82.94k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/weights (3x3x96x96, 82.94k/82.94k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_3c/Branch_3 (--/16.38k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1 (--/16.38k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/weights (1x1x256x64, 16.38k/16.38k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_4a (--/384.00k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4a/Branch_0 (--/225.28k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1 (--/40.96k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/weights (1x1x320x128, 40.96k/40.96k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3 (--/184.32k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/weights (3x3x128x160, 184.32k/184.32k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4a/Branch_1 (--/158.72k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1 (--/20.48k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/weights (1x1x320x64, 20.48k/20.48k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3 (--/82.94k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights (3x3x96x96, 82.94k/82.94k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_4b (--/608.26k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4b/Branch_0 (--/129.02k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1 (--/129.02k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/weights (1x1x576x224, 129.02k/129.02k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4b/Branch_1 (--/92.16k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1 (--/36.86k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/weights (1x1x576x64, 36.86k/36.86k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4b/Branch_2 (--/313.34k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3 (--/110.59k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/weights (3x3x96x128, 110.59k/110.59k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3 (--/147.46k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/weights (3x3x128x128, 147.46k/147.46k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4b/Branch_3 (--/73.73k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1 (--/73.73k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/weights (1x1x576x128, 73.73k/73.73k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_4c (--/663.55k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4c/Branch_0 (--/110.59k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1 (--/110.59k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/weights (1x1x576x192, 110.59k/110.59k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4c/Branch_1 (--/165.89k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3 (--/110.59k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/weights (3x3x96x128, 110.59k/110.59k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4c/Branch_2 (--/313.34k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3 (--/110.59k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/weights (3x3x96x128, 110.59k/110.59k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3 (--/147.46k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/weights (3x3x128x128, 147.46k/147.46k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4c/Branch_3 (--/73.73k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1 (--/73.73k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/weights (1x1x576x128, 73.73k/73.73k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_4d (--/893.95k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4d/Branch_0 (--/92.16k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1 (--/92.16k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/weights (1x1x576x160, 92.16k/92.16k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4d/Branch_1 (--/258.05k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1 (--/73.73k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3 (--/184.32k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/weights (3x3x128x160, 184.32k/184.32k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4d/Branch_2 (--/488.45k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1 (--/73.73k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3 (--/184.32k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/weights (3x3x128x160, 184.32k/184.32k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3 (--/230.40k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/weights (3x3x160x160, 230.40k/230.40k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4d/Branch_3 (--/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/weights (1x1x576x96, 55.30k/55.30k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_4e (--/1.11m params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4e/Branch_0 (--/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4e/Branch_1 (--/294.91k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1 (--/73.73k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3 (--/221.18k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/weights (3x3x128x192, 221.18k/221.18k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4e/Branch_2 (--/700.42k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1 (--/92.16k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/weights (1x1x576x160, 92.16k/92.16k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3 (--/276.48k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/weights (3x3x160x192, 276.48k/276.48k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3 (--/331.78k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/weights (3x3x192x192, 331.78k/331.78k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_4e/Branch_3 (--/55.30k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1 (--/55.30k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/weights (1x1x576x96, 55.30k/55.30k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5a (--/1.44m params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5a/Branch_0 (--/294.91k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1 (--/73.73k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3 (--/221.18k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/weights (3x3x128x192, 221.18k/221.18k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5a/Branch_1 (--/1.14m params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1 (--/110.59k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/weights (1x1x576x192, 110.59k/110.59k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3 (--/442.37k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/weights (3x3x192x256, 442.37k/442.37k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3 (--/589.82k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/weights (3x3x256x256, 589.82k/589.82k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5b (--/2.18m params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5b/Branch_0 (--/360.45k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1 (--/360.45k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/weights (1x1x1024x352, 360.45k/360.45k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5b/Branch_1 (--/749.57k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1 (--/196.61k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/weights (1x1x1024x192, 196.61k/196.61k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3 (--/552.96k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights (3x3x192x320, 552.96k/552.96k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5b/Branch_2 (--/937.98k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1 (--/163.84k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights (1x1x1024x160, 163.84k/163.84k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3 (--/322.56k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights (3x3x160x224, 322.56k/322.56k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3 (--/451.58k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights (3x3x224x224, 451.58k/451.58k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5b/Branch_3 (--/131.07k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1 (--/131.07k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights (1x1x1024x128, 131.07k/131.07k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c (--/2.28m params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c/Branch_0 (--/360.45k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1 (--/360.45k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights (1x1x1024x352, 360.45k/360.45k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c/Branch_1 (--/749.57k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1 (--/196.61k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights (1x1x1024x192, 196.61k/196.61k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3 (--/552.96k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights (3x3x192x320, 552.96k/552.96k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c/Branch_2 (--/1.04m params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1 (--/196.61k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights (1x1x1024x192, 196.61k/196.61k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3 (--/387.07k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights (3x3x192x224, 387.07k/387.07k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3 (--/451.58k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights (3x3x224x224, 451.58k/451.58k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c/Branch_3 (--/131.07k params)\n",
            "          FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1 (--/131.07k params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)\n",
            "            FeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights (1x1x1024x128, 131.07k/131.07k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256 (--/262.14k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_2_1x1_256/weights (1x1x1024x256, 262.14k/262.14k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128 (--/65.54k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_3_1x1_128/weights (1x1x512x128, 65.54k/65.54k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128 (--/32.77k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_4_1x1_128/weights (1x1x256x128, 32.77k/32.77k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64 (--/16.38k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_1_Conv2d_5_1x1_64/weights (1x1x256x64, 16.38k/16.38k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512 (--/1.18m params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_2_3x3_s2_512/weights (3x3x256x512, 1.18m/1.18m params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256 (--/294.91k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_3_3x3_s2_256/weights (3x3x128x256, 294.91k/294.91k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256 (--/294.91k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_4_3x3_s2_256/weights (3x3x128x256, 294.91k/294.91k params)\n",
            "      FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128 (--/73.73k params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/BatchNorm (--/0 params)\n",
            "        FeatureExtractor/InceptionV2/Mixed_5c_2_Conv2d_5_3x3_s2_128/weights (3x3x64x128, 73.73k/73.73k params)\n",
            "\n",
            "======================End of Report==========================\n",
            "163 ops no flops stats due to incomplete shapes.\n",
            "Parsing Inputs...\n",
            "Incomplete shape.\n",
            "\n",
            "=========================Options=============================\n",
            "-max_depth                  10000\n",
            "-min_bytes                  0\n",
            "-min_peak_bytes             0\n",
            "-min_residual_bytes         0\n",
            "-min_output_bytes           0\n",
            "-min_micros                 0\n",
            "-min_accelerator_micros     0\n",
            "-min_cpu_micros             0\n",
            "-min_params                 0\n",
            "-min_float_ops              1\n",
            "-min_occurrence             0\n",
            "-step                       -1\n",
            "-order_by                   float_ops\n",
            "-account_type_regexes       .*\n",
            "-start_name_regexes         .*\n",
            "-trim_name_regexes          .*BatchNorm.*,.*Initializer.*,.*Regularizer.*,.*BiasAdd.*\n",
            "-show_name_regexes          .*\n",
            "-hide_name_regexes          \n",
            "-account_displayed_op_only  true\n",
            "-select                     float_ops\n",
            "-output                     stdout:\n",
            "\n",
            "==================Model Analysis Report======================\n",
            "Incomplete shape.\n",
            "\n",
            "Doc:\n",
            "scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.\n",
            "flops: Number of float operations. Note: Please read the implementation for the math behind it.\n",
            "\n",
            "Profile:\n",
            "node name | # float_ops\n",
            "_TFProfRoot (--/13.71k flops)\n",
            "  MultipleGridAnchorGenerator/sub (2.17k/2.17k flops)\n",
            "  MultipleGridAnchorGenerator/mul_20 (2.17k/2.17k flops)\n",
            "  MultipleGridAnchorGenerator/mul_19 (2.17k/2.17k flops)\n",
            "  MultipleGridAnchorGenerator/mul_27 (1.20k/1.20k flops)\n",
            "  MultipleGridAnchorGenerator/mul_28 (1.20k/1.20k flops)\n",
            "  MultipleGridAnchorGenerator/sub_1 (1.20k/1.20k flops)\n",
            "  MultipleGridAnchorGenerator/mul_21 (1.08k/1.08k flops)\n",
            "  MultipleGridAnchorGenerator/mul_29 (600/600 flops)\n",
            "  MultipleGridAnchorGenerator/mul_36 (300/300 flops)\n",
            "  MultipleGridAnchorGenerator/mul_35 (300/300 flops)\n",
            "  MultipleGridAnchorGenerator/sub_2 (300/300 flops)\n",
            "  MultipleGridAnchorGenerator/mul_37 (150/150 flops)\n",
            "  MultipleGridAnchorGenerator/mul_43 (108/108 flops)\n",
            "  MultipleGridAnchorGenerator/mul_44 (108/108 flops)\n",
            "  MultipleGridAnchorGenerator/sub_3 (108/108 flops)\n",
            "  MultipleGridAnchorGenerator/mul_45 (54/54 flops)\n",
            "  MultipleGridAnchorGenerator/mul_52 (48/48 flops)\n",
            "  MultipleGridAnchorGenerator/mul_51 (48/48 flops)\n",
            "  MultipleGridAnchorGenerator/sub_4 (48/48 flops)\n",
            "  MultipleGridAnchorGenerator/mul_53 (24/24 flops)\n",
            "  MultipleGridAnchorGenerator/mul_18 (19/19 flops)\n",
            "  MultipleGridAnchorGenerator/mul_17 (19/19 flops)\n",
            "  MultipleGridAnchorGenerator/sub_5 (12/12 flops)\n",
            "  MultipleGridAnchorGenerator/mul_60 (12/12 flops)\n",
            "  MultipleGridAnchorGenerator/mul_59 (12/12 flops)\n",
            "  MultipleGridAnchorGenerator/mul_25 (10/10 flops)\n",
            "  MultipleGridAnchorGenerator/mul_26 (10/10 flops)\n",
            "  MultipleGridAnchorGenerator/mul_46 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_40 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_54 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_17 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_16 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_15 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_24 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_47 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_48 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_61 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_39 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_38 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_19 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_55 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_56 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_32 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_31 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_30 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_18 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_22 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_23 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_34 (5/5 flops)\n",
            "  MultipleGridAnchorGenerator/mul_33 (5/5 flops)\n",
            "  MultipleGridAnchorGenerator/mul_42 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_41 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_16 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_15 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_14 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_14 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_50 (2/2 flops)\n",
            "  MultipleGridAnchorGenerator/mul_49 (2/2 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_9 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_8 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_7 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_6 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_5 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_4 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_3 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_2 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField_1/Equal (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField/Equal (1/1 flops)\n",
            "  Preprocessor/map/while/Less_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_2 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/Minimum (1/1 flops)\n",
            "  Preprocessor/map/while/Less (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/ones/Less (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_9 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_8 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_7 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_6 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_5 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_4 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_3 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_19 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_18 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_17 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_16 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_15 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_14 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_13 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_12 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_11 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_10 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_4 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_1 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_9 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_8 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_7 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_6 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_58 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_57 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_5 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_10 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_3 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_2 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_13 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_12 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_11 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_10 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_1 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/assert_equal_1/Equal (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_7 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Greater (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/truediv_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/truediv (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/sub_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/sub (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/Less_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/Less (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_9 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_8 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_6 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_5 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_4 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_3 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_2 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_13 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_12 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_11 (1/1 flops)\n",
            "\n",
            "======================End of Report==========================\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:432: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
            "\n",
            "W1126 05:57:09.874801 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:432: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:342: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "W1126 05:57:10.856813 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:342: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "2019-11-26 05:57:10.875080: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2019-11-26 05:57:10.891172: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:10.891777: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:57:10.892042: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:57:10.893531: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:57:10.903248: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:57:10.903600: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:57:10.912367: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:57:10.913374: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:57:10.923479: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:57:10.923629: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:10.924256: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:10.924787: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:57:10.935716: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n",
            "2019-11-26 05:57:10.935946: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2146f40 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2019-11-26 05:57:10.935975: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2019-11-26 05:57:11.034765: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:11.035493: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2146d80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2019-11-26 05:57:11.035525: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2019-11-26 05:57:11.035779: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:11.036332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:57:11.036412: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:57:11.036430: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:57:11.036446: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:57:11.036464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:57:11.036478: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:57:11.036494: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:57:11.036510: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:57:11.036591: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:11.037177: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:11.037661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:57:11.037783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:57:11.039073: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:57:11.039101: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:57:11.039112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:57:11.039263: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:11.039936: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:11.040479: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n",
            "2019-11-26 05:57:11.040515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Restoring parameters from training/model.ckpt-5000\n",
            "I1126 05:57:11.042214 140355811338112 saver.py:1284] Restoring parameters from training/model.ckpt-5000\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use standard file APIs to check for files with this prefix.\n",
            "W1126 05:57:12.997869 140355811338112 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use standard file APIs to check for files with this prefix.\n",
            "2019-11-26 05:57:13.726830: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:13.727505: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:57:13.727596: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:57:13.727614: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:57:13.727629: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:57:13.727644: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:57:13.727658: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:57:13.727673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:57:13.727688: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:57:13.727820: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:13.728369: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:13.728931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:57:13.728976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:57:13.728988: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:57:13.728997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:57:13.729103: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:13.729704: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:13.730248: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "INFO:tensorflow:Restoring parameters from training/model.ckpt-5000\n",
            "I1126 05:57:13.731417 140355811338112 saver.py:1284] Restoring parameters from training/model.ckpt-5000\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n",
            "W1126 05:57:14.506588 140355811338112 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.compat.v1.graph_util.convert_variables_to_constants`\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.compat.v1.graph_util.extract_sub_graph`\n",
            "W1126 05:57:14.506891 140355811338112 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.compat.v1.graph_util.extract_sub_graph`\n",
            "INFO:tensorflow:Froze 410 variables.\n",
            "I1126 05:57:14.942263 140355811338112 graph_util_impl.py:334] Froze 410 variables.\n",
            "INFO:tensorflow:Converted 410 variables to const ops.\n",
            "I1126 05:57:15.063817 140355811338112 graph_util_impl.py:394] Converted 410 variables to const ops.\n",
            "2019-11-26 05:57:15.313871: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:15.314760: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: \n",
            "name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285\n",
            "pciBusID: 0000:00:04.0\n",
            "2019-11-26 05:57:15.314897: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2019-11-26 05:57:15.314925: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2019-11-26 05:57:15.314946: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2019-11-26 05:57:15.314966: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2019-11-26 05:57:15.315004: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2019-11-26 05:57:15.315024: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2019-11-26 05:57:15.315044: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2019-11-26 05:57:15.315197: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:15.316112: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:15.318676: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2019-11-26 05:57:15.318782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2019-11-26 05:57:15.318802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2019-11-26 05:57:15.318814: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2019-11-26 05:57:15.319015: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:15.320802: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
            "2019-11-26 05:57:15.321761: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15216 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:306: The name tf.saved_model.builder.SavedModelBuilder is deprecated. Please use tf.compat.v1.saved_model.builder.SavedModelBuilder instead.\n",
            "\n",
            "W1126 05:57:15.800184 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:306: The name tf.saved_model.builder.SavedModelBuilder is deprecated. Please use tf.compat.v1.saved_model.builder.SavedModelBuilder instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:309: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n",
            "W1126 05:57:15.800685 140355811338112 deprecation.py:323] From /content/models/research/object_detection/exporter.py:309: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:315: The name tf.saved_model.signature_def_utils.build_signature_def is deprecated. Please use tf.compat.v1.saved_model.signature_def_utils.build_signature_def instead.\n",
            "\n",
            "W1126 05:57:15.801170 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:315: The name tf.saved_model.signature_def_utils.build_signature_def is deprecated. Please use tf.compat.v1.saved_model.signature_def_utils.build_signature_def instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:318: The name tf.saved_model.signature_constants.PREDICT_METHOD_NAME is deprecated. Please use tf.saved_model.PREDICT_METHOD_NAME instead.\n",
            "\n",
            "W1126 05:57:15.801347 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:318: The name tf.saved_model.signature_constants.PREDICT_METHOD_NAME is deprecated. Please use tf.saved_model.PREDICT_METHOD_NAME instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:323: The name tf.saved_model.tag_constants.SERVING is deprecated. Please use tf.saved_model.SERVING instead.\n",
            "\n",
            "W1126 05:57:15.801548 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:323: The name tf.saved_model.tag_constants.SERVING is deprecated. Please use tf.saved_model.SERVING instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/exporter.py:325: The name tf.saved_model.signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY is deprecated. Please use tf.saved_model.DEFAULT_SERVING_SIGNATURE_DEF_KEY instead.\n",
            "\n",
            "W1126 05:57:15.801662 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/exporter.py:325: The name tf.saved_model.signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY is deprecated. Please use tf.saved_model.DEFAULT_SERVING_SIGNATURE_DEF_KEY instead.\n",
            "\n",
            "INFO:tensorflow:No assets to save.\n",
            "I1126 05:57:15.801940 140355811338112 builder_impl.py:640] No assets to save.\n",
            "INFO:tensorflow:No assets to write.\n",
            "I1126 05:57:15.802023 140355811338112 builder_impl.py:460] No assets to write.\n",
            "INFO:tensorflow:SavedModel written to: ./fine_tuned_model/saved_model/saved_model.pb\n",
            "I1126 05:57:16.236944 140355811338112 builder_impl.py:425] SavedModel written to: ./fine_tuned_model/saved_model/saved_model.pb\n",
            "WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:188: The name tf.gfile.Open is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "W1126 05:57:16.280088 140355811338112 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:188: The name tf.gfile.Open is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "INFO:tensorflow:Writing pipeline config file to ./fine_tuned_model/pipeline.config\n",
            "I1126 05:57:16.280336 140355811338112 config_util.py:190] Writing pipeline config file to ./fine_tuned_model/pipeline.config\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9zc_uCffNLkf",
        "colab_type": "code",
        "outputId": "4deef77f-caab-43e0-b7a5-ca6ff4f2f69d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "!ls {output_directory}"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "checkpoint\t\t\tmodel.ckpt.index  saved_model\n",
            "frozen_inference_graph.pb\tmodel.ckpt.meta\n",
            "model.ckpt.data-00000-of-00001\tpipeline.config\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}