gup_team.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "gup-team.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "xReXTyTcXiSn",
        "colab_type": "code",
        "outputId": "b99be392-a6a6-4b19-b5ba-4a31bf5af18d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/gdrive')"
      ],
      "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 /gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xoU7X03r76Ak",
        "colab_type": "code",
        "outputId": "f8782a50-8b05-4ca5-b786-31590edb3b0f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!pip install numpy==1.17.0\n",
        "!pip install tensorflow-gpu==1.15.0\n",
        "!apt-get install -qq protobuf-compiler python-pil python-lxml python-tk\n",
        "!pip install -qq Cython contextlib2 pillow lxml matplotlib pycocotools\n",
        "#restart runtime"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting numpy==1.17.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/19/b9/bda9781f0a74b90ebd2e046fde1196182900bd4a8e1ea503d3ffebc50e7c/numpy-1.17.0-cp36-cp36m-manylinux1_x86_64.whl (20.4MB)\n",
            "\u001b[K     |████████████████████████████████| 20.4MB 60.2MB/s \n",
            "\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: numpy\n",
            "  Found existing installation: numpy 1.18.2\n",
            "    Uninstalling numpy-1.18.2:\n",
            "      Successfully uninstalled numpy-1.18.2\n",
            "Successfully installed numpy-1.17.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "numpy"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorflow-gpu==1.15.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/a5/ad/933140e74973fb917a194ab814785e7c23680ca5dee6d663a509fe9579b6/tensorflow_gpu-1.15.0-cp36-cp36m-manylinux2010_x86_64.whl (411.5MB)\n",
            "\u001b[K     |████████████████████████████████| 411.5MB 40kB/s \n",
            "\u001b[?25hRequirement already satisfied: google-pasta>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (0.2.0)\n",
            "Requirement already satisfied: numpy<2.0,>=1.16.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.17.0)\n",
            "Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.28.1)\n",
            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (0.34.2)\n",
            "Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (0.8.1)\n",
            "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.12.0)\n",
            "Collecting tensorflow-estimator==1.15.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/de/62/2ee9cd74c9fa2fa450877847ba560b260f5d0fb70ee0595203082dafcc9d/tensorflow_estimator-1.15.1-py2.py3-none-any.whl (503kB)\n",
            "\u001b[K     |████████████████████████████████| 512kB 35.9MB/s \n",
            "\u001b[?25hCollecting tensorboard<1.16.0,>=1.15.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1e/e9/d3d747a97f7188f48aa5eda486907f3b345cd409f0a0850468ba867db246/tensorboard-1.15.0-py3-none-any.whl (3.8MB)\n",
            "\u001b[K     |████████████████████████████████| 3.8MB 40.8MB/s \n",
            "\u001b[?25hCollecting gast==0.2.2\n",
            "  Downloading https://files.pythonhosted.org/packages/4e/35/11749bf99b2d4e3cceb4d55ca22590b0d7c2c62b9de38ac4a4a7f4687421/gast-0.2.2.tar.gz\n",
            "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (3.2.1)\n",
            "Requirement already satisfied: wrapt>=1.11.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.12.1)\n",
            "Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.1.0)\n",
            "Requirement already satisfied: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (3.10.0)\n",
            "Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.1.0)\n",
            "Requirement already satisfied: absl-py>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (0.9.0)\n",
            "Requirement already satisfied: keras-applications>=1.0.8 in /usr/local/lib/python3.6/dist-packages (from tensorflow-gpu==1.15.0) (1.0.8)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu==1.15.0) (3.2.1)\n",
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu==1.15.0) (46.1.3)\n",
            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu==1.15.0) (1.0.1)\n",
            "Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.8->tensorflow-gpu==1.15.0) (2.10.0)\n",
            "Building wheels for collected packages: gast\n",
            "  Building wheel for gast (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gast: filename=gast-0.2.2-cp36-none-any.whl size=7540 sha256=5e55249d18869e49c6d07ee55b0562e7b153a1f3e89868f8caf9b34d5b9fb1a0\n",
            "  Stored in directory: /root/.cache/pip/wheels/5c/2e/7e/a1d4d4fcebe6c381f378ce7743a3ced3699feb89bcfbdadadd\n",
            "Successfully built gast\n",
            "\u001b[31mERROR: tensorflow 2.2.0rc3 has requirement gast==0.3.3, but you'll have gast 0.2.2 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: tensorflow 2.2.0rc3 has requirement tensorboard<2.3.0,>=2.2.0, but you'll have tensorboard 1.15.0 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: tensorflow 2.2.0rc3 has requirement tensorflow-estimator<2.3.0,>=2.2.0rc0, but you'll have tensorflow-estimator 1.15.1 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: tensorflow-probability 0.10.0rc0 has requirement gast>=0.3.2, but you'll have gast 0.2.2 which is incompatible.\u001b[0m\n",
            "Installing collected packages: tensorflow-estimator, tensorboard, gast, tensorflow-gpu\n",
            "  Found existing installation: tensorflow-estimator 2.2.0\n",
            "    Uninstalling tensorflow-estimator-2.2.0:\n",
            "      Successfully uninstalled tensorflow-estimator-2.2.0\n",
            "  Found existing installation: tensorboard 2.2.1\n",
            "    Uninstalling tensorboard-2.2.1:\n",
            "      Successfully uninstalled tensorboard-2.2.1\n",
            "  Found existing installation: gast 0.3.3\n",
            "    Uninstalling gast-0.3.3:\n",
            "      Successfully uninstalled gast-0.3.3\n",
            "Successfully installed gast-0.2.2 tensorboard-1.15.0 tensorflow-estimator-1.15.1 tensorflow-gpu-1.15.0\n",
            "Selecting previously unselected package python-bs4.\n",
            "(Reading database ... 144568 files and directories currently installed.)\n",
            "Preparing to unpack .../0-python-bs4_4.6.0-1_all.deb ...\n",
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            "Preparing to unpack .../1-python-pkg-resources_39.0.1-2_all.deb ...\n",
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            "Preparing to unpack .../6-python-lxml_4.2.1-1ubuntu0.1_amd64.deb ...\n",
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            "Preparing to unpack .../7-python-olefile_0.45.1-1_all.deb ...\n",
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            "Preparing to unpack .../8-python-pil_5.1.0-1ubuntu0.2_amd64.deb ...\n",
            "Unpacking python-pil:amd64 (5.1.0-1ubuntu0.2) ...\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",
            "Setting up python-pil:amd64 (5.1.0-1ubuntu0.2) ...\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",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PM_nB6Vv39_B",
        "colab_type": "code",
        "outputId": "18771694-37c8-415a-e526-39c8e09d4483",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd /gdrive/'My Drive'/object_detection/models/research"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/gdrive/My Drive/object_detection/models/research\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fDs0uYOy79c7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from __future__ import division, print_function, absolute_import\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import csv\n",
        "import warnings\n",
        "import re\n",
        "import os\n",
        "import io\n",
        "import glob\n",
        "import shutil\n",
        "import urllib.request\n",
        "import tarfile\n",
        "import xml.etree.ElementTree as ET\n",
        "\n",
        "import tensorflow.compat.v1 as tf\n",
        "\n",
        "from PIL import Image\n",
        "from collections import namedtuple, OrderedDict\n",
        "\n",
        "from google.colab import files\n",
        "os.environ['PYTHONPATH'] += ':./:./slim/'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yQjpZvzmTXxk",
        "colab_type": "code",
        "outputId": "ac5b7cc2-b95f-4b67-a932-7e74624a771b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!python3 object_detection/model_main.py \\\n",
        "    --pipeline_config_path='/gdrive/My Drive/object_detection/models/research/object_detection/samples/configs/ssd_inception_v2_coco.config' \\\n",
        "    --model_dir=training/"
      ],
      "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 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:02.525198 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:04.773919 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:04.774155 140373722052480 model_lib.py:629] Forced number of epochs for all eval validations to be 1.\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:04.774287 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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: None\n",
            "I0422 02:59:04.774371 140373722052480 config_util.py:488] Maybe overwriting train_steps: None\n",
            "INFO:tensorflow:Maybe overwriting use_bfloat16: False\n",
            "I0422 02:59:04.774446 140373722052480 config_util.py:488] Maybe overwriting use_bfloat16: False\n",
            "INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1\n",
            "I0422 02:59:04.774521 140373722052480 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1\n",
            "INFO:tensorflow:Maybe overwriting eval_num_epochs: 1\n",
            "I0422 02:59:04.774597 140373722052480 config_util.py:488] Maybe overwriting eval_num_epochs: 1\n",
            "INFO:tensorflow:Maybe overwriting load_pretrained: True\n",
            "I0422 02:59:04.774665 140373722052480 config_util.py:488] Maybe overwriting load_pretrained: True\n",
            "INFO:tensorflow:Ignoring config override key: load_pretrained\n",
            "I0422 02:59:04.774732 140373722052480 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",
            "W0422 02:59:04.775511 140373722052480 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",
            "I0422 02:59:04.775622 140373722052480 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 0x7faad11d84a8>, '_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",
            "I0422 02:59:04.776093 140373722052480 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 0x7faad11d84a8>, '_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 0x7faad1172d08>) includes params argument, but params are not passed to Estimator.\n",
            "W0422 02:59:04.776317 140373722052480 model_fn.py:630] Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x7faad1172d08>) includes params argument, but params are not passed to Estimator.\n",
            "INFO:tensorflow:Not using Distribute Coordinator.\n",
            "I0422 02:59:04.777140 140373722052480 estimator_training.py:186] Not using Distribute Coordinator.\n",
            "INFO:tensorflow:Running training and evaluation locally (non-distributed).\n",
            "I0422 02:59:04.777356 140373722052480 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",
            "I0422 02:59:04.777578 140373722052480 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",
            "W0422 02:59:04.783511 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:04.793925 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:04.794134 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:06.515239 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:06.516694 140373722052480 dataset_builder.py:72] num_readers has been reduced to 1 to match input file shards.\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:06.522896 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:06.523076 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:06.543113 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:08.991670 140373722052480 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",
            "W0422 02:59:16.192215 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:16.260312 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:18.568651 140373722052480 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/converters/directives.py:119: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.\n",
            "\n",
            "W0422 02:59:20.533513 140373722052480 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",
            "W0422 02:59:20.534435 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:21.154612 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:24.090741 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:24.503586 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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",
            "I0422 02:59:24.515455 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "W0422 02:59:24.914535 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:24.914819 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:24.917032 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:27.720754 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "I0422 02:59:27.730033 140373722052480 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",
            "I0422 02:59:27.758460 140373722052480 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",
            "I0422 02:59:27.786430 140373722052480 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",
            "I0422 02:59:27.813585 140373722052480 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",
            "I0422 02:59:27.840466 140373722052480 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",
            "I0422 02:59:27.867148 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:27.899341 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:27.900541 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:28.479349 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:29.520192 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:32.854866 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:32.860381 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:32.861468 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:33.426400 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:33.431002 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:33.431362 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:33.441821 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:33.442076 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "W0422 02:59:35.828716 140373722052480 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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:42.000829 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:43.118301 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 02:59:43.118568 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "I0422 02:59:43.119109 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Create CheckpointSaverHook.\n",
            "I0422 02:59:43.120238 140373722052480 basic_session_run_hooks.py:541] Create CheckpointSaverHook.\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 02:59:47.233064 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 02:59:47.233438: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n",
            "2020-04-22 02:59:47.237749: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz\n",
            "2020-04-22 02:59:47.237985: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19ef100 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-04-22 02:59:47.238013: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-04-22 02:59:47.240047: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2020-04-22 02:59:47.394028: 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",
            "2020-04-22 02:59:47.394732: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19ef640 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2020-04-22 02:59:47.394790: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2020-04-22 02:59:47.395815: 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",
            "2020-04-22 02:59:47.396369: 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",
            "2020-04-22 02:59:47.406389: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 02:59:47.617229: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 02:59:47.704419: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 02:59:47.724205: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 02:59:47.959400: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 02:59:48.105065: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 02:59:48.604691: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 02:59:48.604942: 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",
            "2020-04-22 02:59:48.605591: 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",
            "2020-04-22 02:59:48.606158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 02:59:48.606286: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 02:59:48.607803: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 02:59:48.607832: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 02:59:48.607850: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 02:59:48.607968: 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",
            "2020-04-22 02:59:48.608520: 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",
            "2020-04-22 02:59:48.609111: 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",
            "2020-04-22 02:59:48.609153: 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",
            "I0422 02:59:57.660683 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 02:59:58.063302 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Saving checkpoints for 0 into training/model.ckpt.\n",
            "I0422 03:00:09.116291 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 0 into training/model.ckpt.\n",
            "2020-04-22 03:00:30.761422: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 03:00:35.134401: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "INFO:tensorflow:loss = 47.083736, step = 0\n",
            "I0422 03:00:37.926118 140373722052480 basic_session_run_hooks.py:262] loss = 47.083736, step = 0\n",
            "INFO:tensorflow:global_step/sec: 1.81495\n",
            "I0422 03:01:33.023334 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 1.81495\n",
            "INFO:tensorflow:loss = 7.4544635, step = 100 (55.099 sec)\n",
            "I0422 03:01:33.024598 140373722052480 basic_session_run_hooks.py:260] loss = 7.4544635, step = 100 (55.099 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06163\n",
            "I0422 03:02:21.528610 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06163\n",
            "INFO:tensorflow:loss = 5.916724, step = 200 (48.506 sec)\n",
            "I0422 03:02:21.530288 140373722052480 basic_session_run_hooks.py:260] loss = 5.916724, step = 200 (48.506 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05747\n",
            "I0422 03:03:10.132093 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05747\n",
            "INFO:tensorflow:loss = 6.35221, step = 300 (48.603 sec)\n",
            "I0422 03:03:10.133184 140373722052480 basic_session_run_hooks.py:260] loss = 6.35221, step = 300 (48.603 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07275\n",
            "I0422 03:03:58.377244 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07275\n",
            "INFO:tensorflow:loss = 4.8533072, step = 400 (48.245 sec)\n",
            "I0422 03:03:58.378316 140373722052480 basic_session_run_hooks.py:260] loss = 4.8533072, step = 400 (48.245 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07127\n",
            "I0422 03:04:46.656804 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07127\n",
            "INFO:tensorflow:loss = 3.9672418, step = 500 (48.280 sec)\n",
            "I0422 03:04:46.658214 140373722052480 basic_session_run_hooks.py:260] loss = 3.9672418, step = 500 (48.280 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.09299\n",
            "I0422 03:05:34.435312 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.09299\n",
            "INFO:tensorflow:loss = 4.9017706, step = 600 (47.778 sec)\n",
            "I0422 03:05:34.436341 140373722052480 basic_session_run_hooks.py:260] loss = 4.9017706, step = 600 (47.778 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06705\n",
            "I0422 03:06:22.813519 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06705\n",
            "INFO:tensorflow:loss = 4.1473336, step = 700 (48.378 sec)\n",
            "I0422 03:06:22.814583 140373722052480 basic_session_run_hooks.py:260] loss = 4.1473336, step = 700 (48.378 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08205\n",
            "I0422 03:07:10.843152 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08205\n",
            "INFO:tensorflow:loss = 5.0352416, step = 800 (48.030 sec)\n",
            "I0422 03:07:10.844629 140373722052480 basic_session_run_hooks.py:260] loss = 5.0352416, step = 800 (48.030 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08526\n",
            "I0422 03:07:58.798787 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08526\n",
            "INFO:tensorflow:loss = 4.654995, step = 900 (47.955 sec)\n",
            "I0422 03:07:58.799750 140373722052480 basic_session_run_hooks.py:260] loss = 4.654995, step = 900 (47.955 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07537\n",
            "I0422 03:08:46.982972 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07537\n",
            "INFO:tensorflow:loss = 4.142875, step = 1000 (48.184 sec)\n",
            "I0422 03:08:46.984017 140373722052480 basic_session_run_hooks.py:260] loss = 4.142875, step = 1000 (48.184 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08922\n",
            "I0422 03:09:34.847869 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08922\n",
            "INFO:tensorflow:loss = 3.2933264, step = 1100 (47.866 sec)\n",
            "I0422 03:09:34.849793 140373722052480 basic_session_run_hooks.py:260] loss = 3.2933264, step = 1100 (47.866 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 1179 into training/model.ckpt.\n",
            "I0422 03:10:12.605952 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 1179 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 03:10:16.459796 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 03:10:18.846627 140373722052480 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",
            "I0422 03:10:18.875505 140373722052480 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",
            "I0422 03:10:18.902784 140373722052480 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",
            "I0422 03:10:18.929596 140373722052480 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",
            "I0422 03:10:18.956838 140373722052480 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",
            "I0422 03:10:18.990698 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 03:10:19.902898 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 03:10:20.087227 140373722052480 deprecation.py:323] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 03:10:20.223735 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 03:10:20.294994 140373722052480 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "I0422 03:10:20.607470 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T03:10:20Z\n",
            "I0422 03:10:20.622216 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T03:10:20Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 03:10:21.092615 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 03:10:21.093696: 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",
            "2020-04-22 03:10:21.094153: 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",
            "2020-04-22 03:10:21.094259: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 03:10:21.094287: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 03:10:21.094314: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 03:10:21.094340: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 03:10:21.094370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 03:10:21.094394: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 03:10:21.094419: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 03:10:21.094520: 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",
            "2020-04-22 03:10:21.094962: 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",
            "2020-04-22 03:10:21.095333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 03:10:21.095383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 03:10:21.095398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 03:10:21.095408: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 03:10:21.095504: 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",
            "2020-04-22 03:10:21.095943: 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",
            "2020-04-22 03:10:21.096321: 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-1179\n",
            "I0422 03:10:21.098247 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-1179\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 03:10:22.266835 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 03:10:22.401412 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 03:11:10.369863 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 03:11:10.375756 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 03:11:10.416946 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=5.32s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.69s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.083\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.154\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.082\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 ] = 0.030\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.094\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.132\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.294\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.306\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 ] = 0.088\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.322\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-03:11:16\n",
            "I0422 03:11:16.616524 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-03:11:16\n",
            "INFO:tensorflow:Saving dict for global step 1179: DetectionBoxes_Precision/mAP = 0.083171465, DetectionBoxes_Precision/mAP (large) = 0.09392997, DetectionBoxes_Precision/mAP (medium) = 0.02969298, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.15416075, DetectionBoxes_Precision/mAP@.75IOU = 0.082481496, DetectionBoxes_Recall/AR@1 = 0.13153796, DetectionBoxes_Recall/AR@10 = 0.29444546, DetectionBoxes_Recall/AR@100 = 0.30586883, DetectionBoxes_Recall/AR@100 (large) = 0.3222437, DetectionBoxes_Recall/AR@100 (medium) = 0.08807943, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 3.6018302, Loss/localization_loss = 0.84113675, Loss/regularization_loss = 0.558963, Loss/total_loss = 5.001934, global_step = 1179, learning_rate = 0.004, loss = 5.001934\n",
            "I0422 03:11:16.616884 140373722052480 estimator.py:2049] Saving dict for global step 1179: DetectionBoxes_Precision/mAP = 0.083171465, DetectionBoxes_Precision/mAP (large) = 0.09392997, DetectionBoxes_Precision/mAP (medium) = 0.02969298, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.15416075, DetectionBoxes_Precision/mAP@.75IOU = 0.082481496, DetectionBoxes_Recall/AR@1 = 0.13153796, DetectionBoxes_Recall/AR@10 = 0.29444546, DetectionBoxes_Recall/AR@100 = 0.30586883, DetectionBoxes_Recall/AR@100 (large) = 0.3222437, DetectionBoxes_Recall/AR@100 (medium) = 0.08807943, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 3.6018302, Loss/localization_loss = 0.84113675, Loss/regularization_loss = 0.558963, Loss/total_loss = 5.001934, global_step = 1179, learning_rate = 0.004, loss = 5.001934\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1179: training/model.ckpt-1179\n",
            "I0422 03:11:17.517698 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 1179: training/model.ckpt-1179\n",
            "INFO:tensorflow:global_step/sec: 0.881945\n",
            "I0422 03:11:28.233613 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.881945\n",
            "INFO:tensorflow:loss = 3.4999518, step = 1200 (113.385 sec)\n",
            "I0422 03:11:28.234775 140373722052480 basic_session_run_hooks.py:260] loss = 3.4999518, step = 1200 (113.385 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06877\n",
            "I0422 03:12:16.571504 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06877\n",
            "INFO:tensorflow:loss = 3.4884865, step = 1300 (48.338 sec)\n",
            "I0422 03:12:16.572709 140373722052480 basic_session_run_hooks.py:260] loss = 3.4884865, step = 1300 (48.338 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06642\n",
            "I0422 03:13:04.964447 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06642\n",
            "INFO:tensorflow:loss = 3.9352238, step = 1400 (48.393 sec)\n",
            "I0422 03:13:04.965648 140373722052480 basic_session_run_hooks.py:260] loss = 3.9352238, step = 1400 (48.393 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07621\n",
            "I0422 03:13:53.129091 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07621\n",
            "INFO:tensorflow:loss = 4.4840226, step = 1500 (48.165 sec)\n",
            "I0422 03:13:53.130170 140373722052480 basic_session_run_hooks.py:260] loss = 4.4840226, step = 1500 (48.165 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07101\n",
            "I0422 03:14:41.414594 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07101\n",
            "INFO:tensorflow:loss = 3.494255, step = 1600 (48.286 sec)\n",
            "I0422 03:14:41.416238 140373722052480 basic_session_run_hooks.py:260] loss = 3.494255, step = 1600 (48.286 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06943\n",
            "I0422 03:15:29.737227 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06943\n",
            "INFO:tensorflow:loss = 3.5508442, step = 1700 (48.322 sec)\n",
            "I0422 03:15:29.738480 140373722052480 basic_session_run_hooks.py:260] loss = 3.5508442, step = 1700 (48.322 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08097\n",
            "I0422 03:16:17.791724 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08097\n",
            "INFO:tensorflow:loss = 3.6952975, step = 1800 (48.054 sec)\n",
            "I0422 03:16:17.792968 140373722052480 basic_session_run_hooks.py:260] loss = 3.6952975, step = 1800 (48.054 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06183\n",
            "I0422 03:17:06.292337 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06183\n",
            "INFO:tensorflow:loss = 2.9722629, step = 1900 (48.501 sec)\n",
            "I0422 03:17:06.294011 140373722052480 basic_session_run_hooks.py:260] loss = 2.9722629, step = 1900 (48.501 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06184\n",
            "I0422 03:17:54.792737 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06184\n",
            "INFO:tensorflow:loss = 3.4224808, step = 2000 (48.500 sec)\n",
            "I0422 03:17:54.793850 140373722052480 basic_session_run_hooks.py:260] loss = 3.4224808, step = 2000 (48.500 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08366\n",
            "I0422 03:18:42.785212 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08366\n",
            "INFO:tensorflow:loss = 2.3904305, step = 2100 (47.992 sec)\n",
            "I0422 03:18:42.786141 140373722052480 basic_session_run_hooks.py:260] loss = 2.3904305, step = 2100 (47.992 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07333\n",
            "I0422 03:19:31.016826 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07333\n",
            "INFO:tensorflow:loss = 2.6193118, step = 2200 (48.232 sec)\n",
            "I0422 03:19:31.018198 140373722052480 basic_session_run_hooks.py:260] loss = 2.6193118, step = 2200 (48.232 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 2288 into training/model.ckpt.\n",
            "I0422 03:20:12.888146 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 2288 into training/model.ckpt.\n",
            "INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "I0422 03:20:15.375547 140373722052480 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "INFO:tensorflow:global_step/sec: 1.96896\n",
            "I0422 03:20:21.804988 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 1.96896\n",
            "INFO:tensorflow:loss = 2.3568516, step = 2300 (50.788 sec)\n",
            "I0422 03:20:21.805984 140373722052480 basic_session_run_hooks.py:260] loss = 2.3568516, step = 2300 (50.788 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06288\n",
            "I0422 03:21:10.280899 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06288\n",
            "INFO:tensorflow:loss = 2.156621, step = 2400 (48.476 sec)\n",
            "I0422 03:21:10.282177 140373722052480 basic_session_run_hooks.py:260] loss = 2.156621, step = 2400 (48.476 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07006\n",
            "I0422 03:21:58.588589 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07006\n",
            "INFO:tensorflow:loss = 2.4746423, step = 2500 (48.308 sec)\n",
            "I0422 03:21:58.590587 140373722052480 basic_session_run_hooks.py:260] loss = 2.4746423, step = 2500 (48.308 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07862\n",
            "I0422 03:22:46.697331 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07862\n",
            "INFO:tensorflow:loss = 2.3760395, step = 2600 (48.108 sec)\n",
            "I0422 03:22:46.698454 140373722052480 basic_session_run_hooks.py:260] loss = 2.3760395, step = 2600 (48.108 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08569\n",
            "I0422 03:23:34.643177 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08569\n",
            "INFO:tensorflow:loss = 2.9591327, step = 2700 (47.946 sec)\n",
            "I0422 03:23:34.644282 140373722052480 basic_session_run_hooks.py:260] loss = 2.9591327, step = 2700 (47.946 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08803\n",
            "I0422 03:24:22.535045 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08803\n",
            "INFO:tensorflow:loss = 2.0259302, step = 2800 (47.892 sec)\n",
            "I0422 03:24:22.536444 140373722052480 basic_session_run_hooks.py:260] loss = 2.0259302, step = 2800 (47.892 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.09209\n",
            "I0422 03:25:10.334089 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.09209\n",
            "INFO:tensorflow:loss = 2.2503617, step = 2900 (47.799 sec)\n",
            "I0422 03:25:10.335280 140373722052480 basic_session_run_hooks.py:260] loss = 2.2503617, step = 2900 (47.799 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07999\n",
            "I0422 03:25:58.411240 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07999\n",
            "INFO:tensorflow:loss = 2.4566941, step = 3000 (48.077 sec)\n",
            "I0422 03:25:58.412348 140373722052480 basic_session_run_hooks.py:260] loss = 2.4566941, step = 3000 (48.077 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0843\n",
            "I0422 03:26:46.388945 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0843\n",
            "INFO:tensorflow:loss = 2.5735426, step = 3100 (47.978 sec)\n",
            "I0422 03:26:46.390371 140373722052480 basic_session_run_hooks.py:260] loss = 2.5735426, step = 3100 (47.978 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08371\n",
            "I0422 03:27:34.380299 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08371\n",
            "INFO:tensorflow:loss = 1.9838951, step = 3200 (47.991 sec)\n",
            "I0422 03:27:34.381259 140373722052480 basic_session_run_hooks.py:260] loss = 1.9838951, step = 3200 (47.991 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07356\n",
            "I0422 03:28:22.606647 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07356\n",
            "INFO:tensorflow:loss = 2.4165797, step = 3300 (48.226 sec)\n",
            "I0422 03:28:22.607591 140373722052480 basic_session_run_hooks.py:260] loss = 2.4165797, step = 3300 (48.226 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.09083\n",
            "I0422 03:29:10.434546 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.09083\n",
            "INFO:tensorflow:loss = 1.8288605, step = 3400 (47.829 sec)\n",
            "I0422 03:29:10.436286 140373722052480 basic_session_run_hooks.py:260] loss = 1.8288605, step = 3400 (47.829 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07775\n",
            "I0422 03:29:58.563417 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07775\n",
            "INFO:tensorflow:loss = 2.328054, step = 3500 (48.128 sec)\n",
            "I0422 03:29:58.564458 140373722052480 basic_session_run_hooks.py:260] loss = 2.328054, step = 3500 (48.128 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 3531 into training/model.ckpt.\n",
            "I0422 03:30:13.070302 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 3531 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 03:30:16.606590 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 03:30:18.967202 140373722052480 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",
            "I0422 03:30:18.995011 140373722052480 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",
            "I0422 03:30:19.021731 140373722052480 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",
            "I0422 03:30:19.048299 140373722052480 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",
            "I0422 03:30:19.075010 140373722052480 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",
            "I0422 03:30:19.102326 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 03:30:21.025511 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T03:30:21Z\n",
            "I0422 03:30:21.040697 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T03:30:21Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 03:30:21.507440 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 03:30:21.508194: 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",
            "2020-04-22 03:30:21.508602: 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",
            "2020-04-22 03:30:21.508711: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 03:30:21.508737: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 03:30:21.508780: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 03:30:21.508809: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 03:30:21.508830: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 03:30:21.508853: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 03:30:21.508881: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 03:30:21.508963: 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",
            "2020-04-22 03:30:21.509345: 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",
            "2020-04-22 03:30:21.509716: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 03:30:21.509804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 03:30:21.509817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 03:30:21.509826: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 03:30:21.509924: 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",
            "2020-04-22 03:30:21.510302: 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",
            "2020-04-22 03:30:21.510632: 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-3531\n",
            "I0422 03:30:21.512480 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-3531\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 03:30:22.719215 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 03:30:22.870476 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 03:31:09.869833 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 03:31:09.872220 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 03:31:09.910439 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=4.85s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.67s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.278\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.419\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.318\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 ] = 0.073\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.292\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.227\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.479\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.498\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 ] = 0.135\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.518\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-03:31:15\n",
            "I0422 03:31:15.613206 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-03:31:15\n",
            "INFO:tensorflow:Saving dict for global step 3531: DetectionBoxes_Precision/mAP = 0.2777317, DetectionBoxes_Precision/mAP (large) = 0.29227474, DetectionBoxes_Precision/mAP (medium) = 0.073116824, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.41923842, DetectionBoxes_Precision/mAP@.75IOU = 0.31830332, DetectionBoxes_Recall/AR@1 = 0.2270109, DetectionBoxes_Recall/AR@10 = 0.4787722, DetectionBoxes_Recall/AR@100 = 0.49843186, DetectionBoxes_Recall/AR@100 (large) = 0.51792026, DetectionBoxes_Recall/AR@100 (medium) = 0.13457325, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 3.396165, Loss/localization_loss = 0.5601889, Loss/regularization_loss = 0.55990523, Loss/total_loss = 4.5162554, global_step = 3531, learning_rate = 0.004, loss = 4.5162554\n",
            "I0422 03:31:15.613488 140373722052480 estimator.py:2049] Saving dict for global step 3531: DetectionBoxes_Precision/mAP = 0.2777317, DetectionBoxes_Precision/mAP (large) = 0.29227474, DetectionBoxes_Precision/mAP (medium) = 0.073116824, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.41923842, DetectionBoxes_Precision/mAP@.75IOU = 0.31830332, DetectionBoxes_Recall/AR@1 = 0.2270109, DetectionBoxes_Recall/AR@10 = 0.4787722, DetectionBoxes_Recall/AR@100 = 0.49843186, DetectionBoxes_Recall/AR@100 (large) = 0.51792026, DetectionBoxes_Recall/AR@100 (medium) = 0.13457325, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 3.396165, Loss/localization_loss = 0.5601889, Loss/regularization_loss = 0.55990523, Loss/total_loss = 4.5162554, global_step = 3531, learning_rate = 0.004, loss = 4.5162554\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 3531: training/model.ckpt-3531\n",
            "I0422 03:31:15.622157 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 3531: training/model.ckpt-3531\n",
            "INFO:tensorflow:global_step/sec: 0.902258\n",
            "I0422 03:31:49.396421 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.902258\n",
            "INFO:tensorflow:loss = 1.8267635, step = 3600 (110.833 sec)\n",
            "I0422 03:31:49.397898 140373722052480 basic_session_run_hooks.py:260] loss = 1.8267635, step = 3600 (110.833 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06452\n",
            "I0422 03:32:37.833940 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06452\n",
            "INFO:tensorflow:loss = 1.7672045, step = 3700 (48.437 sec)\n",
            "I0422 03:32:37.834866 140373722052480 basic_session_run_hooks.py:260] loss = 1.7672045, step = 3700 (48.437 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07412\n",
            "I0422 03:33:26.047250 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07412\n",
            "INFO:tensorflow:loss = 1.3222818, step = 3800 (48.213 sec)\n",
            "I0422 03:33:26.048316 140373722052480 basic_session_run_hooks.py:260] loss = 1.3222818, step = 3800 (48.213 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07412\n",
            "I0422 03:34:14.260438 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07412\n",
            "INFO:tensorflow:loss = 2.0568526, step = 3900 (48.214 sec)\n",
            "I0422 03:34:14.262048 140373722052480 basic_session_run_hooks.py:260] loss = 2.0568526, step = 3900 (48.214 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03507\n",
            "I0422 03:35:03.398754 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03507\n",
            "INFO:tensorflow:loss = 3.528157, step = 4000 (49.138 sec)\n",
            "I0422 03:35:03.399999 140373722052480 basic_session_run_hooks.py:260] loss = 3.528157, step = 4000 (49.138 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05162\n",
            "I0422 03:35:52.140615 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05162\n",
            "INFO:tensorflow:loss = 1.7758211, step = 4100 (48.742 sec)\n",
            "I0422 03:35:52.141614 140373722052480 basic_session_run_hooks.py:260] loss = 1.7758211, step = 4100 (48.742 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07846\n",
            "I0422 03:36:40.253075 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07846\n",
            "INFO:tensorflow:loss = 2.0790265, step = 4200 (48.113 sec)\n",
            "I0422 03:36:40.254822 140373722052480 basic_session_run_hooks.py:260] loss = 2.0790265, step = 4200 (48.113 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07667\n",
            "I0422 03:37:28.407170 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07667\n",
            "INFO:tensorflow:loss = 2.0411835, step = 4300 (48.153 sec)\n",
            "I0422 03:37:28.408239 140373722052480 basic_session_run_hooks.py:260] loss = 2.0411835, step = 4300 (48.153 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07127\n",
            "I0422 03:38:16.686787 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07127\n",
            "INFO:tensorflow:loss = 2.010875, step = 4400 (48.279 sec)\n",
            "I0422 03:38:16.687645 140373722052480 basic_session_run_hooks.py:260] loss = 2.010875, step = 4400 (48.279 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07217\n",
            "I0422 03:39:04.945423 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07217\n",
            "INFO:tensorflow:loss = 1.7538847, step = 4500 (48.260 sec)\n",
            "I0422 03:39:04.947158 140373722052480 basic_session_run_hooks.py:260] loss = 1.7538847, step = 4500 (48.260 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06536\n",
            "I0422 03:39:53.363115 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06536\n",
            "INFO:tensorflow:loss = 1.779592, step = 4600 (48.417 sec)\n",
            "I0422 03:39:53.364178 140373722052480 basic_session_run_hooks.py:260] loss = 1.779592, step = 4600 (48.417 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 4643 into training/model.ckpt.\n",
            "I0422 03:40:13.384912 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 4643 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 03:40:16.710840 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 03:40:19.038397 140373722052480 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",
            "I0422 03:40:19.066961 140373722052480 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",
            "I0422 03:40:19.094200 140373722052480 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",
            "I0422 03:40:19.120968 140373722052480 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",
            "I0422 03:40:19.148056 140373722052480 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",
            "I0422 03:40:19.179287 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 03:40:20.773877 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T03:40:20Z\n",
            "I0422 03:40:20.788819 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T03:40:20Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 03:40:21.259214 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 03:40:21.259819: 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",
            "2020-04-22 03:40:21.260225: 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",
            "2020-04-22 03:40:21.260327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 03:40:21.260353: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 03:40:21.260371: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 03:40:21.260390: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 03:40:21.260409: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 03:40:21.260428: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 03:40:21.260448: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 03:40:21.260525: 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",
            "2020-04-22 03:40:21.260929: 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",
            "2020-04-22 03:40:21.261249: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 03:40:21.261291: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 03:40:21.261304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 03:40:21.261313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 03:40:21.261394: 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",
            "2020-04-22 03:40:21.261783: 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",
            "2020-04-22 03:40:21.262111: 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-4643\n",
            "I0422 03:40:21.263932 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-4643\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 03:40:22.440050 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 03:40:22.582400 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 03:41:10.061238 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 03:41:10.064022 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 03:41:10.101804 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=4.76s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.68s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.246\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.402\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.267\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 ] = 0.062\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.260\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.222\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.446\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.468\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 ] = 0.131\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.488\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-03:41:15\n",
            "I0422 03:41:15.737809 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-03:41:15\n",
            "INFO:tensorflow:Saving dict for global step 4643: DetectionBoxes_Precision/mAP = 0.24591687, DetectionBoxes_Precision/mAP (large) = 0.2599309, DetectionBoxes_Precision/mAP (medium) = 0.06174307, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.40219748, DetectionBoxes_Precision/mAP@.75IOU = 0.26675665, DetectionBoxes_Recall/AR@1 = 0.22191228, DetectionBoxes_Recall/AR@10 = 0.44589204, DetectionBoxes_Recall/AR@100 = 0.46799558, DetectionBoxes_Recall/AR@100 (large) = 0.48843965, DetectionBoxes_Recall/AR@100 (medium) = 0.13135256, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 3.7968342, Loss/localization_loss = 0.58871144, Loss/regularization_loss = 0.56267095, Loss/total_loss = 4.9482164, global_step = 4643, learning_rate = 0.004, loss = 4.9482164\n",
            "I0422 03:41:15.738087 140373722052480 estimator.py:2049] Saving dict for global step 4643: DetectionBoxes_Precision/mAP = 0.24591687, DetectionBoxes_Precision/mAP (large) = 0.2599309, DetectionBoxes_Precision/mAP (medium) = 0.06174307, DetectionBoxes_Precision/mAP (small) = 0.0, DetectionBoxes_Precision/mAP@.50IOU = 0.40219748, DetectionBoxes_Precision/mAP@.75IOU = 0.26675665, DetectionBoxes_Recall/AR@1 = 0.22191228, DetectionBoxes_Recall/AR@10 = 0.44589204, DetectionBoxes_Recall/AR@100 = 0.46799558, DetectionBoxes_Recall/AR@100 (large) = 0.48843965, DetectionBoxes_Recall/AR@100 (medium) = 0.13135256, DetectionBoxes_Recall/AR@100 (small) = 0.0, Loss/classification_loss = 3.7968342, Loss/localization_loss = 0.58871144, Loss/regularization_loss = 0.56267095, Loss/total_loss = 4.9482164, global_step = 4643, learning_rate = 0.004, loss = 4.9482164\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 4643: training/model.ckpt-4643\n",
            "I0422 03:41:15.746383 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 4643: training/model.ckpt-4643\n",
            "INFO:tensorflow:global_step/sec: 0.908196\n",
            "I0422 03:41:43.471529 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.908196\n",
            "INFO:tensorflow:loss = 1.4859766, step = 4700 (110.109 sec)\n",
            "I0422 03:41:43.473170 140373722052480 basic_session_run_hooks.py:260] loss = 1.4859766, step = 4700 (110.109 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04717\n",
            "I0422 03:42:32.319464 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04717\n",
            "INFO:tensorflow:loss = 1.3668296, step = 4800 (48.847 sec)\n",
            "I0422 03:42:32.320559 140373722052480 basic_session_run_hooks.py:260] loss = 1.3668296, step = 4800 (48.847 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07447\n",
            "I0422 03:43:20.524649 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07447\n",
            "INFO:tensorflow:loss = 1.3439738, step = 4900 (48.205 sec)\n",
            "I0422 03:43:20.525839 140373722052480 basic_session_run_hooks.py:260] loss = 1.3439738, step = 4900 (48.205 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06585\n",
            "I0422 03:44:08.930892 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06585\n",
            "INFO:tensorflow:loss = 1.524591, step = 5000 (48.407 sec)\n",
            "I0422 03:44:08.932504 140373722052480 basic_session_run_hooks.py:260] loss = 1.524591, step = 5000 (48.407 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07127\n",
            "I0422 03:44:57.210331 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07127\n",
            "INFO:tensorflow:loss = 1.3048856, step = 5100 (48.279 sec)\n",
            "I0422 03:44:57.211461 140373722052480 basic_session_run_hooks.py:260] loss = 1.3048856, step = 5100 (48.279 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05995\n",
            "I0422 03:45:45.755140 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05995\n",
            "INFO:tensorflow:loss = 1.1410011, step = 5200 (48.545 sec)\n",
            "I0422 03:45:45.756198 140373722052480 basic_session_run_hooks.py:260] loss = 1.1410011, step = 5200 (48.545 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05036\n",
            "I0422 03:46:34.526947 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05036\n",
            "INFO:tensorflow:loss = 1.4232256, step = 5300 (48.773 sec)\n",
            "I0422 03:46:34.528754 140373722052480 basic_session_run_hooks.py:260] loss = 1.4232256, step = 5300 (48.773 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0623\n",
            "I0422 03:47:23.016618 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0623\n",
            "INFO:tensorflow:loss = 1.3146436, step = 5400 (48.489 sec)\n",
            "I0422 03:47:23.018004 140373722052480 basic_session_run_hooks.py:260] loss = 1.3146436, step = 5400 (48.489 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06815\n",
            "I0422 03:48:11.368858 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06815\n",
            "INFO:tensorflow:loss = 1.3306525, step = 5500 (48.352 sec)\n",
            "I0422 03:48:11.370060 140373722052480 basic_session_run_hooks.py:260] loss = 1.3306525, step = 5500 (48.352 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0591\n",
            "I0422 03:48:59.933902 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0591\n",
            "INFO:tensorflow:loss = 1.5921954, step = 5600 (48.566 sec)\n",
            "I0422 03:48:59.935610 140373722052480 basic_session_run_hooks.py:260] loss = 1.5921954, step = 5600 (48.566 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08054\n",
            "I0422 03:49:47.998365 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08054\n",
            "INFO:tensorflow:loss = 1.2298746, step = 5700 (48.064 sec)\n",
            "I0422 03:49:47.999505 140373722052480 basic_session_run_hooks.py:260] loss = 1.2298746, step = 5700 (48.064 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 5754 into training/model.ckpt.\n",
            "I0422 03:50:13.872042 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 5754 into training/model.ckpt.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py:963: remove_checkpoint (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 delete files with this prefix.\n",
            "W0422 03:50:14.591257 140373722052480 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py:963: remove_checkpoint (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 delete files with this prefix.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 03:50:16.976555 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 03:50:19.333586 140373722052480 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",
            "I0422 03:50:19.361999 140373722052480 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",
            "I0422 03:50:19.392652 140373722052480 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",
            "I0422 03:50:19.421717 140373722052480 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",
            "I0422 03:50:19.448883 140373722052480 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",
            "I0422 03:50:19.476089 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 03:50:21.106393 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T03:50:21Z\n",
            "I0422 03:50:21.121439 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T03:50:21Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 03:50:21.586612 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 03:50:21.587322: 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",
            "2020-04-22 03:50:21.587725: 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",
            "2020-04-22 03:50:21.587842: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 03:50:21.587869: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 03:50:21.587895: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 03:50:21.587915: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 03:50:21.587934: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 03:50:21.587957: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 03:50:21.587981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 03:50:21.588060: 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",
            "2020-04-22 03:50:21.588452: 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",
            "2020-04-22 03:50:21.588838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 03:50:21.588912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 03:50:21.588926: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 03:50:21.588935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 03:50:21.589033: 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",
            "2020-04-22 03:50:21.589426: 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",
            "2020-04-22 03:50:21.589778: 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-5754\n",
            "I0422 03:50:21.591807 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-5754\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 03:50:22.746286 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 03:50:22.889991 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 03:51:10.626004 140369762354944 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 03:51:10.629473 140369762354944 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 03:51:10.669240 140369762354944 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=4.74s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.69s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.360\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.525\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.413\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.039\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.097\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.381\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.283\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.559\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.573\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.050\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.301\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.590\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-03:51:16\n",
            "I0422 03:51:16.299230 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-03:51:16\n",
            "INFO:tensorflow:Saving dict for global step 5754: DetectionBoxes_Precision/mAP = 0.35994092, DetectionBoxes_Precision/mAP (large) = 0.38142464, DetectionBoxes_Precision/mAP (medium) = 0.097010784, DetectionBoxes_Precision/mAP (small) = 0.03861386, DetectionBoxes_Precision/mAP@.50IOU = 0.5247826, DetectionBoxes_Precision/mAP@.75IOU = 0.41309467, DetectionBoxes_Recall/AR@1 = 0.2833219, DetectionBoxes_Recall/AR@10 = 0.5591539, DetectionBoxes_Recall/AR@100 = 0.57272613, DetectionBoxes_Recall/AR@100 (large) = 0.589691, DetectionBoxes_Recall/AR@100 (medium) = 0.3009072, DetectionBoxes_Recall/AR@100 (small) = 0.05, Loss/classification_loss = 3.5155416, Loss/localization_loss = 0.50876814, Loss/regularization_loss = 0.5624268, Loss/total_loss = 4.5867357, global_step = 5754, learning_rate = 0.004, loss = 4.5867357\n",
            "I0422 03:51:16.299529 140373722052480 estimator.py:2049] Saving dict for global step 5754: DetectionBoxes_Precision/mAP = 0.35994092, DetectionBoxes_Precision/mAP (large) = 0.38142464, DetectionBoxes_Precision/mAP (medium) = 0.097010784, DetectionBoxes_Precision/mAP (small) = 0.03861386, DetectionBoxes_Precision/mAP@.50IOU = 0.5247826, DetectionBoxes_Precision/mAP@.75IOU = 0.41309467, DetectionBoxes_Recall/AR@1 = 0.2833219, DetectionBoxes_Recall/AR@10 = 0.5591539, DetectionBoxes_Recall/AR@100 = 0.57272613, DetectionBoxes_Recall/AR@100 (large) = 0.589691, DetectionBoxes_Recall/AR@100 (medium) = 0.3009072, DetectionBoxes_Recall/AR@100 (small) = 0.05, Loss/classification_loss = 3.5155416, Loss/localization_loss = 0.50876814, Loss/regularization_loss = 0.5624268, Loss/total_loss = 4.5867357, global_step = 5754, learning_rate = 0.004, loss = 4.5867357\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 5754: training/model.ckpt-5754\n",
            "I0422 03:51:16.308609 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 5754: training/model.ckpt-5754\n",
            "INFO:tensorflow:global_step/sec: 0.898922\n",
            "I0422 03:51:39.242741 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.898922\n",
            "INFO:tensorflow:loss = 1.2655504, step = 5800 (111.245 sec)\n",
            "I0422 03:51:39.244132 140373722052480 basic_session_run_hooks.py:260] loss = 1.2655504, step = 5800 (111.245 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06292\n",
            "I0422 03:52:27.717821 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06292\n",
            "INFO:tensorflow:loss = 1.3415374, step = 5900 (48.475 sec)\n",
            "I0422 03:52:27.718888 140373722052480 basic_session_run_hooks.py:260] loss = 1.3415374, step = 5900 (48.475 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05662\n",
            "I0422 03:53:16.341189 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05662\n",
            "INFO:tensorflow:loss = 1.1406596, step = 6000 (48.623 sec)\n",
            "I0422 03:53:16.342228 140373722052480 basic_session_run_hooks.py:260] loss = 1.1406596, step = 6000 (48.623 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05832\n",
            "I0422 03:54:04.924558 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05832\n",
            "INFO:tensorflow:loss = 0.99926716, step = 6100 (48.584 sec)\n",
            "I0422 03:54:04.925956 140373722052480 basic_session_run_hooks.py:260] loss = 0.99926716, step = 6100 (48.584 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07518\n",
            "I0422 03:54:53.113227 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07518\n",
            "INFO:tensorflow:loss = 0.95200527, step = 6200 (48.188 sec)\n",
            "I0422 03:54:53.114169 140373722052480 basic_session_run_hooks.py:260] loss = 0.95200527, step = 6200 (48.188 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0565\n",
            "I0422 03:55:41.739496 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0565\n",
            "INFO:tensorflow:loss = 1.1188223, step = 6300 (48.626 sec)\n",
            "I0422 03:55:41.740532 140373722052480 basic_session_run_hooks.py:260] loss = 1.1188223, step = 6300 (48.626 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07329\n",
            "I0422 03:56:29.971958 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07329\n",
            "INFO:tensorflow:loss = 1.077766, step = 6400 (48.233 sec)\n",
            "I0422 03:56:29.973676 140373722052480 basic_session_run_hooks.py:260] loss = 1.077766, step = 6400 (48.233 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05489\n",
            "I0422 03:57:18.636216 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05489\n",
            "INFO:tensorflow:loss = 1.0361186, step = 6500 (48.664 sec)\n",
            "I0422 03:57:18.637278 140373722052480 basic_session_run_hooks.py:260] loss = 1.0361186, step = 6500 (48.664 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04703\n",
            "I0422 03:58:07.487393 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04703\n",
            "INFO:tensorflow:loss = 0.927734, step = 6600 (48.851 sec)\n",
            "I0422 03:58:07.488327 140373722052480 basic_session_run_hooks.py:260] loss = 0.927734, step = 6600 (48.851 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06445\n",
            "I0422 03:58:55.926415 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06445\n",
            "INFO:tensorflow:loss = 0.93803424, step = 6700 (48.440 sec)\n",
            "I0422 03:58:55.928191 140373722052480 basic_session_run_hooks.py:260] loss = 0.93803424, step = 6700 (48.440 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05772\n",
            "I0422 03:59:44.523846 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05772\n",
            "INFO:tensorflow:loss = 0.913641, step = 6800 (48.597 sec)\n",
            "I0422 03:59:44.524970 140373722052480 basic_session_run_hooks.py:260] loss = 0.913641, step = 6800 (48.597 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 6862 into training/model.ckpt.\n",
            "I0422 04:00:14.125053 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 6862 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 04:00:17.667201 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 04:00:20.034959 140373722052480 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",
            "I0422 04:00:20.062803 140373722052480 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",
            "I0422 04:00:20.090201 140373722052480 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",
            "I0422 04:00:20.117366 140373722052480 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",
            "I0422 04:00:20.144063 140373722052480 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",
            "I0422 04:00:20.171485 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 04:00:21.776230 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T04:00:21Z\n",
            "I0422 04:00:21.791646 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T04:00:21Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 04:00:22.257863 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 04:00:22.258539: 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",
            "2020-04-22 04:00:22.258992: 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",
            "2020-04-22 04:00:22.259097: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 04:00:22.259123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 04:00:22.259149: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 04:00:22.259171: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 04:00:22.259191: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 04:00:22.259214: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 04:00:22.259238: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 04:00:22.259318: 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",
            "2020-04-22 04:00:22.259701: 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",
            "2020-04-22 04:00:22.260037: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 04:00:22.260078: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 04:00:22.260091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 04:00:22.260100: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 04:00:22.260194: 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",
            "2020-04-22 04:00:22.260562: 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",
            "2020-04-22 04:00:22.260903: 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-6862\n",
            "I0422 04:00:22.262738 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-6862\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 04:00:23.440874 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 04:00:23.585003 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 04:01:12.146980 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 04:01:12.150449 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 04:01:12.190652 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=4.19s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.67s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.446\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.634\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.520\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.019\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.126\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.470\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.307\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.593\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.601\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.037\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.316\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.618\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-04:01:17\n",
            "I0422 04:01:17.249636 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-04:01:17\n",
            "INFO:tensorflow:Saving dict for global step 6862: DetectionBoxes_Precision/mAP = 0.4457661, DetectionBoxes_Precision/mAP (large) = 0.46999133, DetectionBoxes_Precision/mAP (medium) = 0.12570623, DetectionBoxes_Precision/mAP (small) = 0.019059407, DetectionBoxes_Precision/mAP@.50IOU = 0.63394934, DetectionBoxes_Precision/mAP@.75IOU = 0.52029544, DetectionBoxes_Recall/AR@1 = 0.3073188, DetectionBoxes_Recall/AR@10 = 0.5928392, DetectionBoxes_Recall/AR@100 = 0.6010169, DetectionBoxes_Recall/AR@100 (large) = 0.61763644, DetectionBoxes_Recall/AR@100 (medium) = 0.31631914, DetectionBoxes_Recall/AR@100 (small) = 0.0375, Loss/classification_loss = 3.7942374, Loss/localization_loss = 0.4741599, Loss/regularization_loss = 0.56162703, Loss/total_loss = 4.8300242, global_step = 6862, learning_rate = 0.004, loss = 4.8300242\n",
            "I0422 04:01:17.249942 140373722052480 estimator.py:2049] Saving dict for global step 6862: DetectionBoxes_Precision/mAP = 0.4457661, DetectionBoxes_Precision/mAP (large) = 0.46999133, DetectionBoxes_Precision/mAP (medium) = 0.12570623, DetectionBoxes_Precision/mAP (small) = 0.019059407, DetectionBoxes_Precision/mAP@.50IOU = 0.63394934, DetectionBoxes_Precision/mAP@.75IOU = 0.52029544, DetectionBoxes_Recall/AR@1 = 0.3073188, DetectionBoxes_Recall/AR@10 = 0.5928392, DetectionBoxes_Recall/AR@100 = 0.6010169, DetectionBoxes_Recall/AR@100 (large) = 0.61763644, DetectionBoxes_Recall/AR@100 (medium) = 0.31631914, DetectionBoxes_Recall/AR@100 (small) = 0.0375, Loss/classification_loss = 3.7942374, Loss/localization_loss = 0.4741599, Loss/regularization_loss = 0.56162703, Loss/total_loss = 4.8300242, global_step = 6862, learning_rate = 0.004, loss = 4.8300242\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 6862: training/model.ckpt-6862\n",
            "I0422 04:01:17.258818 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 6862: training/model.ckpt-6862\n",
            "INFO:tensorflow:global_step/sec: 0.894947\n",
            "I0422 04:01:36.262263 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.894947\n",
            "INFO:tensorflow:loss = 1.0006903, step = 6900 (111.739 sec)\n",
            "I0422 04:01:36.263520 140373722052480 basic_session_run_hooks.py:260] loss = 1.0006903, step = 6900 (111.739 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05096\n",
            "I0422 04:02:25.019825 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05096\n",
            "INFO:tensorflow:loss = 0.9724871, step = 7000 (48.757 sec)\n",
            "I0422 04:02:25.020715 140373722052480 basic_session_run_hooks.py:260] loss = 0.9724871, step = 7000 (48.757 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03537\n",
            "I0422 04:03:14.150975 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03537\n",
            "INFO:tensorflow:loss = 1.1030538, step = 7100 (49.131 sec)\n",
            "I0422 04:03:14.152165 140373722052480 basic_session_run_hooks.py:260] loss = 1.1030538, step = 7100 (49.131 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0332\n",
            "I0422 04:04:03.334549 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0332\n",
            "INFO:tensorflow:loss = 1.0006995, step = 7200 (49.184 sec)\n",
            "I0422 04:04:03.336130 140373722052480 basic_session_run_hooks.py:260] loss = 1.0006995, step = 7200 (49.184 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05045\n",
            "I0422 04:04:52.104368 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05045\n",
            "INFO:tensorflow:loss = 1.2070613, step = 7300 (48.769 sec)\n",
            "I0422 04:04:52.105614 140373722052480 basic_session_run_hooks.py:260] loss = 1.2070613, step = 7300 (48.769 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04599\n",
            "I0422 04:05:40.980535 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04599\n",
            "INFO:tensorflow:loss = 0.85166824, step = 7400 (48.876 sec)\n",
            "I0422 04:05:40.981739 140373722052480 basic_session_run_hooks.py:260] loss = 0.85166824, step = 7400 (48.876 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04316\n",
            "I0422 04:06:29.924351 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04316\n",
            "INFO:tensorflow:loss = 0.96036124, step = 7500 (48.945 sec)\n",
            "I0422 04:06:29.926246 140373722052480 basic_session_run_hooks.py:260] loss = 0.96036124, step = 7500 (48.945 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04359\n",
            "I0422 04:07:18.857938 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04359\n",
            "INFO:tensorflow:loss = 0.9892158, step = 7600 (48.933 sec)\n",
            "I0422 04:07:18.859030 140373722052480 basic_session_run_hooks.py:260] loss = 0.9892158, step = 7600 (48.933 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04438\n",
            "I0422 04:08:07.772515 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04438\n",
            "INFO:tensorflow:loss = 0.935498, step = 7700 (48.915 sec)\n",
            "I0422 04:08:07.773534 140373722052480 basic_session_run_hooks.py:260] loss = 0.935498, step = 7700 (48.915 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04958\n",
            "I0422 04:08:56.562913 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04958\n",
            "INFO:tensorflow:loss = 0.93767047, step = 7800 (48.791 sec)\n",
            "I0422 04:08:56.564569 140373722052480 basic_session_run_hooks.py:260] loss = 0.93767047, step = 7800 (48.791 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04083\n",
            "I0422 04:09:45.562520 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04083\n",
            "INFO:tensorflow:loss = 0.90051407, step = 7900 (48.999 sec)\n",
            "I0422 04:09:45.563685 140373722052480 basic_session_run_hooks.py:260] loss = 0.90051407, step = 7900 (48.999 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 7960 into training/model.ckpt.\n",
            "I0422 04:10:14.470906 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 7960 into training/model.ckpt.\n",
            "INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "I0422 04:10:17.063822 140373722052480 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "INFO:tensorflow:global_step/sec: 1.9315\n",
            "I0422 04:10:37.335662 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 1.9315\n",
            "INFO:tensorflow:loss = 0.8663713, step = 8000 (51.773 sec)\n",
            "I0422 04:10:37.336572 140373722052480 basic_session_run_hooks.py:260] loss = 0.8663713, step = 8000 (51.773 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03858\n",
            "I0422 04:11:26.389312 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03858\n",
            "INFO:tensorflow:loss = 0.9009384, step = 8100 (49.054 sec)\n",
            "I0422 04:11:26.390756 140373722052480 basic_session_run_hooks.py:260] loss = 0.9009384, step = 8100 (49.054 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03464\n",
            "I0422 04:12:15.538007 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03464\n",
            "INFO:tensorflow:loss = 0.87983215, step = 8200 (49.148 sec)\n",
            "I0422 04:12:15.539240 140373722052480 basic_session_run_hooks.py:260] loss = 0.87983215, step = 8200 (49.148 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04431\n",
            "I0422 04:13:04.454295 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04431\n",
            "INFO:tensorflow:loss = 0.9753181, step = 8300 (48.916 sec)\n",
            "I0422 04:13:04.455481 140373722052480 basic_session_run_hooks.py:260] loss = 0.9753181, step = 8300 (48.916 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03689\n",
            "I0422 04:13:53.548793 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03689\n",
            "INFO:tensorflow:loss = 0.9614959, step = 8400 (49.095 sec)\n",
            "I0422 04:13:53.550341 140373722052480 basic_session_run_hooks.py:260] loss = 0.9614959, step = 8400 (49.095 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.01523\n",
            "I0422 04:14:43.170831 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.01523\n",
            "INFO:tensorflow:loss = 0.8934722, step = 8500 (49.622 sec)\n",
            "I0422 04:14:43.172004 140373722052480 basic_session_run_hooks.py:260] loss = 0.8934722, step = 8500 (49.622 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04742\n",
            "I0422 04:15:32.012852 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04742\n",
            "INFO:tensorflow:loss = 0.9543201, step = 8600 (48.842 sec)\n",
            "I0422 04:15:32.013998 140373722052480 basic_session_run_hooks.py:260] loss = 0.9543201, step = 8600 (48.842 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04529\n",
            "I0422 04:16:20.905548 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04529\n",
            "INFO:tensorflow:loss = 0.79044694, step = 8700 (48.893 sec)\n",
            "I0422 04:16:20.907238 140373722052480 basic_session_run_hooks.py:260] loss = 0.79044694, step = 8700 (48.893 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0464\n",
            "I0422 04:17:09.771851 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0464\n",
            "INFO:tensorflow:loss = 0.7845982, step = 8800 (48.865 sec)\n",
            "I0422 04:17:09.772728 140373722052480 basic_session_run_hooks.py:260] loss = 0.7845982, step = 8800 (48.865 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05467\n",
            "I0422 04:17:58.441481 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05467\n",
            "INFO:tensorflow:loss = 0.73980117, step = 8900 (48.670 sec)\n",
            "I0422 04:17:58.442632 140373722052480 basic_session_run_hooks.py:260] loss = 0.73980117, step = 8900 (48.670 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05876\n",
            "I0422 04:18:47.014466 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05876\n",
            "INFO:tensorflow:loss = 0.7792213, step = 9000 (48.574 sec)\n",
            "I0422 04:18:47.016162 140373722052480 basic_session_run_hooks.py:260] loss = 0.7792213, step = 9000 (48.574 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04824\n",
            "I0422 04:19:35.836801 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04824\n",
            "INFO:tensorflow:loss = 0.85407615, step = 9100 (48.822 sec)\n",
            "I0422 04:19:35.837913 140373722052480 basic_session_run_hooks.py:260] loss = 0.85407615, step = 9100 (48.822 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 9181 into training/model.ckpt.\n",
            "I0422 04:20:14.859328 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 9181 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 04:20:17.993247 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 04:20:20.339861 140373722052480 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",
            "I0422 04:20:20.367806 140373722052480 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",
            "I0422 04:20:20.399250 140373722052480 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",
            "I0422 04:20:20.426676 140373722052480 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",
            "I0422 04:20:20.461782 140373722052480 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",
            "I0422 04:20:20.493567 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 04:20:22.738957 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T04:20:22Z\n",
            "I0422 04:20:22.757592 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T04:20:22Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 04:20:23.338465 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 04:20:23.339244: 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",
            "2020-04-22 04:20:23.339646: 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",
            "2020-04-22 04:20:23.339744: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 04:20:23.339784: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 04:20:23.339811: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 04:20:23.339832: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 04:20:23.339851: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 04:20:23.339870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 04:20:23.339891: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 04:20:23.339971: 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",
            "2020-04-22 04:20:23.340359: 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",
            "2020-04-22 04:20:23.340743: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 04:20:23.340833: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 04:20:23.340848: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 04:20:23.340856: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 04:20:23.340959: 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",
            "2020-04-22 04:20:23.341352: 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",
            "2020-04-22 04:20:23.341695: 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-9181\n",
            "I0422 04:20:23.343566 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-9181\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 04:20:24.594850 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 04:20:24.757469 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 04:21:12.640718 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 04:21:12.644298 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.05s)\n",
            "I0422 04:21:12.692394 140371090663168 coco_tools.py:137] DONE (t=0.05s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.96s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.68s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.537\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.719\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.635\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.061\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.279\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.557\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.409\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.718\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.727\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.075\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.351\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.743\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-04:21:17\n",
            "I0422 04:21:17.534319 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-04:21:17\n",
            "INFO:tensorflow:Saving dict for global step 9181: DetectionBoxes_Precision/mAP = 0.5373642, DetectionBoxes_Precision/mAP (large) = 0.5571539, DetectionBoxes_Precision/mAP (medium) = 0.2788967, DetectionBoxes_Precision/mAP (small) = 0.061221123, DetectionBoxes_Precision/mAP@.50IOU = 0.7189374, DetectionBoxes_Precision/mAP@.75IOU = 0.6349434, DetectionBoxes_Recall/AR@1 = 0.40867576, DetectionBoxes_Recall/AR@10 = 0.7177809, DetectionBoxes_Recall/AR@100 = 0.7274927, DetectionBoxes_Recall/AR@100 (large) = 0.7431487, DetectionBoxes_Recall/AR@100 (medium) = 0.35123286, DetectionBoxes_Recall/AR@100 (small) = 0.075, Loss/classification_loss = 4.1972427, Loss/localization_loss = 0.4567484, Loss/regularization_loss = 0.5592658, Loss/total_loss = 5.213259, global_step = 9181, learning_rate = 0.004, loss = 5.213259\n",
            "I0422 04:21:17.534578 140373722052480 estimator.py:2049] Saving dict for global step 9181: DetectionBoxes_Precision/mAP = 0.5373642, DetectionBoxes_Precision/mAP (large) = 0.5571539, DetectionBoxes_Precision/mAP (medium) = 0.2788967, DetectionBoxes_Precision/mAP (small) = 0.061221123, DetectionBoxes_Precision/mAP@.50IOU = 0.7189374, DetectionBoxes_Precision/mAP@.75IOU = 0.6349434, DetectionBoxes_Recall/AR@1 = 0.40867576, DetectionBoxes_Recall/AR@10 = 0.7177809, DetectionBoxes_Recall/AR@100 = 0.7274927, DetectionBoxes_Recall/AR@100 (large) = 0.7431487, DetectionBoxes_Recall/AR@100 (medium) = 0.35123286, DetectionBoxes_Recall/AR@100 (small) = 0.075, Loss/classification_loss = 4.1972427, Loss/localization_loss = 0.4567484, Loss/regularization_loss = 0.5592658, Loss/total_loss = 5.213259, global_step = 9181, learning_rate = 0.004, loss = 5.213259\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 9181: training/model.ckpt-9181\n",
            "I0422 04:21:17.542868 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 9181: training/model.ckpt-9181\n",
            "INFO:tensorflow:global_step/sec: 0.89725\n",
            "I0422 04:21:27.288457 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.89725\n",
            "INFO:tensorflow:loss = 0.7775866, step = 9200 (111.452 sec)\n",
            "I0422 04:21:27.290262 140373722052480 basic_session_run_hooks.py:260] loss = 0.7775866, step = 9200 (111.452 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06778\n",
            "I0422 04:22:15.649416 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06778\n",
            "INFO:tensorflow:loss = 0.7493154, step = 9300 (48.360 sec)\n",
            "I0422 04:22:15.650634 140373722052480 basic_session_run_hooks.py:260] loss = 0.7493154, step = 9300 (48.360 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06594\n",
            "I0422 04:23:04.053667 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06594\n",
            "INFO:tensorflow:loss = 0.8205477, step = 9400 (48.404 sec)\n",
            "I0422 04:23:04.054837 140373722052480 basic_session_run_hooks.py:260] loss = 0.8205477, step = 9400 (48.404 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06724\n",
            "I0422 04:23:52.427362 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06724\n",
            "INFO:tensorflow:loss = 0.753451, step = 9500 (48.374 sec)\n",
            "I0422 04:23:52.429006 140373722052480 basic_session_run_hooks.py:260] loss = 0.753451, step = 9500 (48.374 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06803\n",
            "I0422 04:24:40.782532 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06803\n",
            "INFO:tensorflow:loss = 0.7810984, step = 9600 (48.355 sec)\n",
            "I0422 04:24:40.784430 140373722052480 basic_session_run_hooks.py:260] loss = 0.7810984, step = 9600 (48.355 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06939\n",
            "I0422 04:25:29.105950 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06939\n",
            "INFO:tensorflow:loss = 0.7455385, step = 9700 (48.323 sec)\n",
            "I0422 04:25:29.107244 140373722052480 basic_session_run_hooks.py:260] loss = 0.7455385, step = 9700 (48.323 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07362\n",
            "I0422 04:26:17.330878 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07362\n",
            "INFO:tensorflow:loss = 0.88117224, step = 9800 (48.225 sec)\n",
            "I0422 04:26:17.332473 140373722052480 basic_session_run_hooks.py:260] loss = 0.88117224, step = 9800 (48.225 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07699\n",
            "I0422 04:27:05.477351 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07699\n",
            "INFO:tensorflow:loss = 0.8305249, step = 9900 (48.146 sec)\n",
            "I0422 04:27:05.478628 140373722052480 basic_session_run_hooks.py:260] loss = 0.8305249, step = 9900 (48.146 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06296\n",
            "I0422 04:27:53.951464 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06296\n",
            "INFO:tensorflow:loss = 0.72406363, step = 10000 (48.474 sec)\n",
            "I0422 04:27:53.952529 140373722052480 basic_session_run_hooks.py:260] loss = 0.72406363, step = 10000 (48.474 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07012\n",
            "I0422 04:28:42.257871 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07012\n",
            "INFO:tensorflow:loss = 0.76386124, step = 10100 (48.307 sec)\n",
            "I0422 04:28:42.259184 140373722052480 basic_session_run_hooks.py:260] loss = 0.76386124, step = 10100 (48.307 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06929\n",
            "I0422 04:29:30.583532 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06929\n",
            "INFO:tensorflow:loss = 0.738242, step = 10200 (48.325 sec)\n",
            "I0422 04:29:30.584599 140373722052480 basic_session_run_hooks.py:260] loss = 0.738242, step = 10200 (48.325 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 10293 into training/model.ckpt.\n",
            "I0422 04:30:14.997725 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 10293 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 04:30:18.127561 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 04:30:20.480386 140373722052480 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",
            "I0422 04:30:20.509005 140373722052480 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",
            "I0422 04:30:20.537402 140373722052480 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",
            "I0422 04:30:20.565073 140373722052480 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",
            "I0422 04:30:20.592795 140373722052480 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",
            "I0422 04:30:20.619863 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 04:30:22.370278 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T04:30:22Z\n",
            "I0422 04:30:22.395634 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T04:30:22Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 04:30:22.950739 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 04:30:22.951424: 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",
            "2020-04-22 04:30:22.951865: 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",
            "2020-04-22 04:30:22.951959: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 04:30:22.951983: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 04:30:22.952004: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 04:30:22.952023: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 04:30:22.952052: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 04:30:22.952070: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 04:30:22.952090: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 04:30:22.952171: 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",
            "2020-04-22 04:30:22.952550: 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",
            "2020-04-22 04:30:22.952883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 04:30:22.952926: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 04:30:22.952939: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 04:30:22.952948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 04:30:22.953046: 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",
            "2020-04-22 04:30:22.953415: 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",
            "2020-04-22 04:30:22.953750: 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-10293\n",
            "I0422 04:30:22.955711 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-10293\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 04:30:24.270988 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 04:30:24.435481 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 04:31:12.254904 140369762354944 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 04:31:12.258244 140369762354944 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 04:31:12.298458 140369762354944 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.77s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.70s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.573\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.743\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.671\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.101\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.197\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.592\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.424\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.736\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.745\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.113\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.358\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.762\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-04:31:16\n",
            "I0422 04:31:16.971856 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-04:31:16\n",
            "INFO:tensorflow:Saving dict for global step 10293: DetectionBoxes_Precision/mAP = 0.5726172, DetectionBoxes_Precision/mAP (large) = 0.5920329, DetectionBoxes_Precision/mAP (medium) = 0.19692421, DetectionBoxes_Precision/mAP (small) = 0.10148515, DetectionBoxes_Precision/mAP@.50IOU = 0.74255884, DetectionBoxes_Precision/mAP@.75IOU = 0.67063123, DetectionBoxes_Recall/AR@1 = 0.4239141, DetectionBoxes_Recall/AR@10 = 0.7361011, DetectionBoxes_Recall/AR@100 = 0.7452204, DetectionBoxes_Recall/AR@100 (large) = 0.7617873, DetectionBoxes_Recall/AR@100 (medium) = 0.35795552, DetectionBoxes_Recall/AR@100 (small) = 0.1125, Loss/classification_loss = 4.3885407, Loss/localization_loss = 0.43732733, Loss/regularization_loss = 0.5579199, Loss/total_loss = 5.38379, global_step = 10293, learning_rate = 0.004, loss = 5.38379\n",
            "I0422 04:31:16.972137 140373722052480 estimator.py:2049] Saving dict for global step 10293: DetectionBoxes_Precision/mAP = 0.5726172, DetectionBoxes_Precision/mAP (large) = 0.5920329, DetectionBoxes_Precision/mAP (medium) = 0.19692421, DetectionBoxes_Precision/mAP (small) = 0.10148515, DetectionBoxes_Precision/mAP@.50IOU = 0.74255884, DetectionBoxes_Precision/mAP@.75IOU = 0.67063123, DetectionBoxes_Recall/AR@1 = 0.4239141, DetectionBoxes_Recall/AR@10 = 0.7361011, DetectionBoxes_Recall/AR@100 = 0.7452204, DetectionBoxes_Recall/AR@100 (large) = 0.7617873, DetectionBoxes_Recall/AR@100 (medium) = 0.35795552, DetectionBoxes_Recall/AR@100 (small) = 0.1125, Loss/classification_loss = 4.3885407, Loss/localization_loss = 0.43732733, Loss/regularization_loss = 0.5579199, Loss/total_loss = 5.38379, global_step = 10293, learning_rate = 0.004, loss = 5.38379\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 10293: training/model.ckpt-10293\n",
            "I0422 04:31:16.979753 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 10293: training/model.ckpt-10293\n",
            "INFO:tensorflow:global_step/sec: 0.906582\n",
            "I0422 04:31:20.887939 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.906582\n",
            "INFO:tensorflow:loss = 0.8424804, step = 10300 (110.305 sec)\n",
            "I0422 04:31:20.889559 140373722052480 basic_session_run_hooks.py:260] loss = 0.8424804, step = 10300 (110.305 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07702\n",
            "I0422 04:32:09.033756 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07702\n",
            "INFO:tensorflow:loss = 0.7213436, step = 10400 (48.145 sec)\n",
            "I0422 04:32:09.034732 140373722052480 basic_session_run_hooks.py:260] loss = 0.7213436, step = 10400 (48.145 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06492\n",
            "I0422 04:32:57.461664 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06492\n",
            "INFO:tensorflow:loss = 0.7305679, step = 10500 (48.428 sec)\n",
            "I0422 04:32:57.462731 140373722052480 basic_session_run_hooks.py:260] loss = 0.7305679, step = 10500 (48.428 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06079\n",
            "I0422 04:33:45.986817 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06079\n",
            "INFO:tensorflow:loss = 0.74866647, step = 10600 (48.526 sec)\n",
            "I0422 04:33:45.988566 140373722052480 basic_session_run_hooks.py:260] loss = 0.74866647, step = 10600 (48.526 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07096\n",
            "I0422 04:34:34.273543 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07096\n",
            "INFO:tensorflow:loss = 0.8232722, step = 10700 (48.286 sec)\n",
            "I0422 04:34:34.274629 140373722052480 basic_session_run_hooks.py:260] loss = 0.8232722, step = 10700 (48.286 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07306\n",
            "I0422 04:35:22.511391 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07306\n",
            "INFO:tensorflow:loss = 0.69420886, step = 10800 (48.238 sec)\n",
            "I0422 04:35:22.512542 140373722052480 basic_session_run_hooks.py:260] loss = 0.69420886, step = 10800 (48.238 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07727\n",
            "I0422 04:36:10.651455 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07727\n",
            "INFO:tensorflow:loss = 0.7331877, step = 10900 (48.140 sec)\n",
            "I0422 04:36:10.652754 140373722052480 basic_session_run_hooks.py:260] loss = 0.7331877, step = 10900 (48.140 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06825\n",
            "I0422 04:36:59.001608 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06825\n",
            "INFO:tensorflow:loss = 0.8198994, step = 11000 (48.350 sec)\n",
            "I0422 04:36:59.002859 140373722052480 basic_session_run_hooks.py:260] loss = 0.8198994, step = 11000 (48.350 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05978\n",
            "I0422 04:37:47.550546 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05978\n",
            "INFO:tensorflow:loss = 0.7236554, step = 11100 (48.549 sec)\n",
            "I0422 04:37:47.551602 140373722052480 basic_session_run_hooks.py:260] loss = 0.7236554, step = 11100 (48.549 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06042\n",
            "I0422 04:38:36.084272 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06042\n",
            "INFO:tensorflow:loss = 0.72485673, step = 11200 (48.534 sec)\n",
            "I0422 04:38:36.086035 140373722052480 basic_session_run_hooks.py:260] loss = 0.72485673, step = 11200 (48.534 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06848\n",
            "I0422 04:39:24.429052 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06848\n",
            "INFO:tensorflow:loss = 0.82184416, step = 11300 (48.344 sec)\n",
            "I0422 04:39:24.430289 140373722052480 basic_session_run_hooks.py:260] loss = 0.82184416, step = 11300 (48.344 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08089\n",
            "I0422 04:40:12.485418 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08089\n",
            "INFO:tensorflow:loss = 0.780872, step = 11400 (48.056 sec)\n",
            "I0422 04:40:12.486492 140373722052480 basic_session_run_hooks.py:260] loss = 0.780872, step = 11400 (48.056 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 11407 into training/model.ckpt.\n",
            "I0422 04:40:15.279725 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 11407 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 04:40:18.815399 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 04:40:21.164905 140373722052480 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",
            "I0422 04:40:21.192805 140373722052480 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",
            "I0422 04:40:21.220192 140373722052480 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",
            "I0422 04:40:21.248120 140373722052480 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",
            "I0422 04:40:21.275595 140373722052480 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",
            "I0422 04:40:21.302689 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 04:40:23.111739 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T04:40:23Z\n",
            "I0422 04:40:23.127845 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T04:40:23Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 04:40:23.683513 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 04:40:23.684241: 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",
            "2020-04-22 04:40:23.684639: 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",
            "2020-04-22 04:40:23.684740: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 04:40:23.684784: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 04:40:23.684810: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 04:40:23.684833: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 04:40:23.684862: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 04:40:23.684885: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 04:40:23.684909: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 04:40:23.684992: 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",
            "2020-04-22 04:40:23.685367: 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",
            "2020-04-22 04:40:23.685803: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 04:40:23.685910: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 04:40:23.685926: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 04:40:23.685936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 04:40:23.686038: 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",
            "2020-04-22 04:40:23.686432: 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",
            "2020-04-22 04:40:23.686793: 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-11407\n",
            "I0422 04:40:23.690241 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-11407\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 04:40:24.985189 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 04:40:25.133241 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 04:41:13.227812 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 04:41:13.232152 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 04:41:13.272990 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.79s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.69s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.599\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.775\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.702\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.089\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.232\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.616\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.434\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.746\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.755\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.100\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.388\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.770\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-04:41:17\n",
            "I0422 04:41:17.943256 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-04:41:17\n",
            "INFO:tensorflow:Saving dict for global step 11407: DetectionBoxes_Precision/mAP = 0.59912336, DetectionBoxes_Precision/mAP (large) = 0.6160883, DetectionBoxes_Precision/mAP (medium) = 0.23211749, DetectionBoxes_Precision/mAP (small) = 0.08861386, DetectionBoxes_Precision/mAP@.50IOU = 0.7748147, DetectionBoxes_Precision/mAP@.75IOU = 0.7018471, DetectionBoxes_Recall/AR@1 = 0.4339651, DetectionBoxes_Recall/AR@10 = 0.7458571, DetectionBoxes_Recall/AR@100 = 0.754761, DetectionBoxes_Recall/AR@100 (large) = 0.7697637, DetectionBoxes_Recall/AR@100 (medium) = 0.38809845, DetectionBoxes_Recall/AR@100 (small) = 0.1, Loss/classification_loss = 4.518721, Loss/localization_loss = 0.43190345, Loss/regularization_loss = 0.5564882, Loss/total_loss = 5.507114, global_step = 11407, learning_rate = 0.004, loss = 5.507114\n",
            "I0422 04:41:17.943521 140373722052480 estimator.py:2049] Saving dict for global step 11407: DetectionBoxes_Precision/mAP = 0.59912336, DetectionBoxes_Precision/mAP (large) = 0.6160883, DetectionBoxes_Precision/mAP (medium) = 0.23211749, DetectionBoxes_Precision/mAP (small) = 0.08861386, DetectionBoxes_Precision/mAP@.50IOU = 0.7748147, DetectionBoxes_Precision/mAP@.75IOU = 0.7018471, DetectionBoxes_Recall/AR@1 = 0.4339651, DetectionBoxes_Recall/AR@10 = 0.7458571, DetectionBoxes_Recall/AR@100 = 0.754761, DetectionBoxes_Recall/AR@100 (large) = 0.7697637, DetectionBoxes_Recall/AR@100 (medium) = 0.38809845, DetectionBoxes_Recall/AR@100 (small) = 0.1, Loss/classification_loss = 4.518721, Loss/localization_loss = 0.43190345, Loss/regularization_loss = 0.5564882, Loss/total_loss = 5.507114, global_step = 11407, learning_rate = 0.004, loss = 5.507114\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 11407: training/model.ckpt-11407\n",
            "I0422 04:41:17.951963 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 11407: training/model.ckpt-11407\n",
            "INFO:tensorflow:global_step/sec: 0.902804\n",
            "I0422 04:42:03.251476 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.902804\n",
            "INFO:tensorflow:loss = 0.7007448, step = 11500 (110.767 sec)\n",
            "I0422 04:42:03.253035 140373722052480 basic_session_run_hooks.py:260] loss = 0.7007448, step = 11500 (110.767 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08468\n",
            "I0422 04:42:51.220452 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08468\n",
            "INFO:tensorflow:loss = 0.6972656, step = 11600 (47.969 sec)\n",
            "I0422 04:42:51.221582 140373722052480 basic_session_run_hooks.py:260] loss = 0.6972656, step = 11600 (47.969 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06338\n",
            "I0422 04:43:39.684541 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06338\n",
            "INFO:tensorflow:loss = 0.69254446, step = 11700 (48.464 sec)\n",
            "I0422 04:43:39.685751 140373722052480 basic_session_run_hooks.py:260] loss = 0.69254446, step = 11700 (48.464 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06784\n",
            "I0422 04:44:28.044280 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06784\n",
            "INFO:tensorflow:loss = 0.8174728, step = 11800 (48.360 sec)\n",
            "I0422 04:44:28.045789 140373722052480 basic_session_run_hooks.py:260] loss = 0.8174728, step = 11800 (48.360 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06285\n",
            "I0422 04:45:16.520948 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06285\n",
            "INFO:tensorflow:loss = 0.71159124, step = 11900 (48.476 sec)\n",
            "I0422 04:45:16.522243 140373722052480 basic_session_run_hooks.py:260] loss = 0.71159124, step = 11900 (48.476 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05874\n",
            "I0422 04:46:05.094367 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05874\n",
            "INFO:tensorflow:loss = 0.6818002, step = 12000 (48.573 sec)\n",
            "I0422 04:46:05.095422 140373722052480 basic_session_run_hooks.py:260] loss = 0.6818002, step = 12000 (48.573 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07265\n",
            "I0422 04:46:53.341677 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07265\n",
            "INFO:tensorflow:loss = 0.7748937, step = 12100 (48.248 sec)\n",
            "I0422 04:46:53.343317 140373722052480 basic_session_run_hooks.py:260] loss = 0.7748937, step = 12100 (48.248 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07338\n",
            "I0422 04:47:41.572151 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07338\n",
            "INFO:tensorflow:loss = 0.75984335, step = 12200 (48.230 sec)\n",
            "I0422 04:47:41.573150 140373722052480 basic_session_run_hooks.py:260] loss = 0.75984335, step = 12200 (48.230 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07588\n",
            "I0422 04:48:29.744434 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07588\n",
            "INFO:tensorflow:loss = 0.66002923, step = 12300 (48.172 sec)\n",
            "I0422 04:48:29.745401 140373722052480 basic_session_run_hooks.py:260] loss = 0.66002923, step = 12300 (48.172 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06655\n",
            "I0422 04:49:18.134229 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06655\n",
            "INFO:tensorflow:loss = 0.7137363, step = 12400 (48.390 sec)\n",
            "I0422 04:49:18.135913 140373722052480 basic_session_run_hooks.py:260] loss = 0.7137363, step = 12400 (48.390 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06399\n",
            "I0422 04:50:06.584107 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06399\n",
            "INFO:tensorflow:loss = 0.7823472, step = 12500 (48.449 sec)\n",
            "I0422 04:50:06.585240 140373722052480 basic_session_run_hooks.py:260] loss = 0.7823472, step = 12500 (48.449 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 12520 into training/model.ckpt.\n",
            "I0422 04:50:15.761484 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 12520 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 04:50:18.839443 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 04:50:21.216543 140373722052480 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",
            "I0422 04:50:21.245584 140373722052480 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",
            "I0422 04:50:21.273869 140373722052480 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",
            "I0422 04:50:21.301383 140373722052480 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",
            "I0422 04:50:21.328803 140373722052480 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",
            "I0422 04:50:21.356250 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 04:50:23.069601 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T04:50:23Z\n",
            "I0422 04:50:23.087347 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T04:50:23Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 04:50:23.600566 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 04:50:23.601201: 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",
            "2020-04-22 04:50:23.601589: 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",
            "2020-04-22 04:50:23.601670: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 04:50:23.601694: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 04:50:23.601716: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 04:50:23.601737: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 04:50:23.601757: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 04:50:23.601791: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 04:50:23.601811: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 04:50:23.601887: 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",
            "2020-04-22 04:50:23.602261: 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",
            "2020-04-22 04:50:23.602577: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 04:50:23.602619: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 04:50:23.602631: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 04:50:23.602640: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 04:50:23.602729: 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",
            "2020-04-22 04:50:23.603121: 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",
            "2020-04-22 04:50:23.603464: 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-12520\n",
            "I0422 04:50:23.605292 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-12520\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 04:50:24.947734 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 04:50:25.113416 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 04:51:13.381505 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 04:51:13.385180 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 04:51:13.425989 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.47s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.68s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.619\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.803\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.737\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.094\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.306\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.637\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.427\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.733\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.742\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.125\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.377\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.757\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-04:51:17\n",
            "I0422 04:51:17.778835 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-04:51:17\n",
            "INFO:tensorflow:Saving dict for global step 12520: DetectionBoxes_Precision/mAP = 0.6191568, DetectionBoxes_Precision/mAP (large) = 0.63680637, DetectionBoxes_Precision/mAP (medium) = 0.30596396, DetectionBoxes_Precision/mAP (small) = 0.0939769, DetectionBoxes_Precision/mAP@.50IOU = 0.80337816, DetectionBoxes_Precision/mAP@.75IOU = 0.73683745, DetectionBoxes_Recall/AR@1 = 0.4265443, DetectionBoxes_Recall/AR@10 = 0.7333706, DetectionBoxes_Recall/AR@100 = 0.7419956, DetectionBoxes_Recall/AR@100 (large) = 0.75732243, DetectionBoxes_Recall/AR@100 (medium) = 0.3768567, DetectionBoxes_Recall/AR@100 (small) = 0.125, Loss/classification_loss = 4.748946, Loss/localization_loss = 0.44756556, Loss/regularization_loss = 0.5549645, Loss/total_loss = 5.7514753, global_step = 12520, learning_rate = 0.004, loss = 5.7514753\n",
            "I0422 04:51:17.779148 140373722052480 estimator.py:2049] Saving dict for global step 12520: DetectionBoxes_Precision/mAP = 0.6191568, DetectionBoxes_Precision/mAP (large) = 0.63680637, DetectionBoxes_Precision/mAP (medium) = 0.30596396, DetectionBoxes_Precision/mAP (small) = 0.0939769, DetectionBoxes_Precision/mAP@.50IOU = 0.80337816, DetectionBoxes_Precision/mAP@.75IOU = 0.73683745, DetectionBoxes_Recall/AR@1 = 0.4265443, DetectionBoxes_Recall/AR@10 = 0.7333706, DetectionBoxes_Recall/AR@100 = 0.7419956, DetectionBoxes_Recall/AR@100 (large) = 0.75732243, DetectionBoxes_Recall/AR@100 (medium) = 0.3768567, DetectionBoxes_Recall/AR@100 (small) = 0.125, Loss/classification_loss = 4.748946, Loss/localization_loss = 0.44756556, Loss/regularization_loss = 0.5549645, Loss/total_loss = 5.7514753, global_step = 12520, learning_rate = 0.004, loss = 5.7514753\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 12520: training/model.ckpt-12520\n",
            "I0422 04:51:17.787117 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 12520: training/model.ckpt-12520\n",
            "INFO:tensorflow:global_step/sec: 0.90613\n",
            "I0422 04:51:56.943557 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.90613\n",
            "INFO:tensorflow:loss = 0.6844708, step = 12600 (110.360 sec)\n",
            "I0422 04:51:56.945224 140373722052480 basic_session_run_hooks.py:260] loss = 0.6844708, step = 12600 (110.360 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07735\n",
            "I0422 04:52:45.081787 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07735\n",
            "INFO:tensorflow:loss = 0.70694304, step = 12700 (48.138 sec)\n",
            "I0422 04:52:45.082835 140373722052480 basic_session_run_hooks.py:260] loss = 0.70694304, step = 12700 (48.138 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06199\n",
            "I0422 04:53:33.578708 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06199\n",
            "INFO:tensorflow:loss = 0.67543757, step = 12800 (48.497 sec)\n",
            "I0422 04:53:33.580010 140373722052480 basic_session_run_hooks.py:260] loss = 0.67543757, step = 12800 (48.497 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06003\n",
            "I0422 04:54:22.121605 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06003\n",
            "INFO:tensorflow:loss = 0.672509, step = 12900 (48.543 sec)\n",
            "I0422 04:54:22.123419 140373722052480 basic_session_run_hooks.py:260] loss = 0.672509, step = 12900 (48.543 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06026\n",
            "I0422 04:55:10.659213 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06026\n",
            "INFO:tensorflow:loss = 0.6768114, step = 13000 (48.537 sec)\n",
            "I0422 04:55:10.660336 140373722052480 basic_session_run_hooks.py:260] loss = 0.6768114, step = 13000 (48.537 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06982\n",
            "I0422 04:55:58.972528 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06982\n",
            "INFO:tensorflow:loss = 0.6912493, step = 13100 (48.313 sec)\n",
            "I0422 04:55:58.973559 140373722052480 basic_session_run_hooks.py:260] loss = 0.6912493, step = 13100 (48.313 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05426\n",
            "I0422 04:56:47.651961 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05426\n",
            "INFO:tensorflow:loss = 0.7062331, step = 13200 (48.680 sec)\n",
            "I0422 04:56:47.653352 140373722052480 basic_session_run_hooks.py:260] loss = 0.7062331, step = 13200 (48.680 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05541\n",
            "I0422 04:57:36.304000 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05541\n",
            "INFO:tensorflow:loss = 0.6805245, step = 13300 (48.652 sec)\n",
            "I0422 04:57:36.305091 140373722052480 basic_session_run_hooks.py:260] loss = 0.6805245, step = 13300 (48.652 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07452\n",
            "I0422 04:58:24.507982 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07452\n",
            "INFO:tensorflow:loss = 0.6867725, step = 13400 (48.204 sec)\n",
            "I0422 04:58:24.509146 140373722052480 basic_session_run_hooks.py:260] loss = 0.6867725, step = 13400 (48.204 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06789\n",
            "I0422 04:59:12.866343 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06789\n",
            "INFO:tensorflow:loss = 0.676048, step = 13500 (48.359 sec)\n",
            "I0422 04:59:12.868036 140373722052480 basic_session_run_hooks.py:260] loss = 0.676048, step = 13500 (48.359 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06155\n",
            "I0422 05:00:01.373604 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06155\n",
            "INFO:tensorflow:loss = 0.6559081, step = 13600 (48.507 sec)\n",
            "I0422 05:00:01.374825 140373722052480 basic_session_run_hooks.py:260] loss = 0.6559081, step = 13600 (48.507 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 13631 into training/model.ckpt.\n",
            "I0422 05:00:15.877478 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 13631 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 05:00:19.378117 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 05:00:21.724864 140373722052480 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",
            "I0422 05:00:21.752362 140373722052480 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",
            "I0422 05:00:21.778943 140373722052480 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",
            "I0422 05:00:21.805543 140373722052480 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",
            "I0422 05:00:21.832066 140373722052480 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",
            "I0422 05:00:21.858536 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 05:00:23.929136 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T05:00:23Z\n",
            "I0422 05:00:23.946638 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T05:00:23Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 05:00:24.495193 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 05:00:24.495968: 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",
            "2020-04-22 05:00:24.496373: 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",
            "2020-04-22 05:00:24.496459: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 05:00:24.496488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 05:00:24.496510: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 05:00:24.496576: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 05:00:24.496607: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 05:00:24.496629: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 05:00:24.496653: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 05:00:24.496754: 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",
            "2020-04-22 05:00:24.497372: 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",
            "2020-04-22 05:00:24.497784: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 05:00:24.497872: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 05:00:24.497887: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 05:00:24.497895: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 05:00:24.497987: 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",
            "2020-04-22 05:00:24.498356: 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",
            "2020-04-22 05:00:24.498715: 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-13631\n",
            "I0422 05:00:24.501615 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-13631\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 05:00:25.918492 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 05:00:26.071732 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 05:01:14.614690 140369762354944 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 05:01:14.618083 140369762354944 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 05:01:14.658298 140369762354944 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.80s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.68s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.710\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.863\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.807\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.120\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.324\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.725\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.461\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.775\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.784\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.138\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.369\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.799\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-05:01:19\n",
            "I0422 05:01:19.330930 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-05:01:19\n",
            "INFO:tensorflow:Saving dict for global step 13631: DetectionBoxes_Precision/mAP = 0.7101849, DetectionBoxes_Precision/mAP (large) = 0.7252177, DetectionBoxes_Precision/mAP (medium) = 0.32420728, DetectionBoxes_Precision/mAP (small) = 0.12029703, DetectionBoxes_Precision/mAP@.50IOU = 0.86256754, DetectionBoxes_Precision/mAP@.75IOU = 0.80704594, DetectionBoxes_Recall/AR@1 = 0.46106422, DetectionBoxes_Recall/AR@10 = 0.77524304, DetectionBoxes_Recall/AR@100 = 0.78358644, DetectionBoxes_Recall/AR@100 (large) = 0.7990903, DetectionBoxes_Recall/AR@100 (medium) = 0.36863053, DetectionBoxes_Recall/AR@100 (small) = 0.1375, Loss/classification_loss = 4.908926, Loss/localization_loss = 0.42709255, Loss/regularization_loss = 0.553387, Loss/total_loss = 5.8894043, global_step = 13631, learning_rate = 0.004, loss = 5.8894043\n",
            "I0422 05:01:19.331197 140373722052480 estimator.py:2049] Saving dict for global step 13631: DetectionBoxes_Precision/mAP = 0.7101849, DetectionBoxes_Precision/mAP (large) = 0.7252177, DetectionBoxes_Precision/mAP (medium) = 0.32420728, DetectionBoxes_Precision/mAP (small) = 0.12029703, DetectionBoxes_Precision/mAP@.50IOU = 0.86256754, DetectionBoxes_Precision/mAP@.75IOU = 0.80704594, DetectionBoxes_Recall/AR@1 = 0.46106422, DetectionBoxes_Recall/AR@10 = 0.77524304, DetectionBoxes_Recall/AR@100 = 0.78358644, DetectionBoxes_Recall/AR@100 (large) = 0.7990903, DetectionBoxes_Recall/AR@100 (medium) = 0.36863053, DetectionBoxes_Recall/AR@100 (small) = 0.1375, Loss/classification_loss = 4.908926, Loss/localization_loss = 0.42709255, Loss/regularization_loss = 0.553387, Loss/total_loss = 5.8894043, global_step = 13631, learning_rate = 0.004, loss = 5.8894043\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 13631: training/model.ckpt-13631\n",
            "I0422 05:01:19.338793 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 13631: training/model.ckpt-13631\n",
            "INFO:tensorflow:global_step/sec: 0.893513\n",
            "I0422 05:01:53.291385 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.893513\n",
            "INFO:tensorflow:loss = 0.64526254, step = 13700 (111.918 sec)\n",
            "I0422 05:01:53.292593 140373722052480 basic_session_run_hooks.py:260] loss = 0.64526254, step = 13700 (111.918 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07229\n",
            "I0422 05:02:41.547070 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07229\n",
            "INFO:tensorflow:loss = 0.67625105, step = 13800 (48.255 sec)\n",
            "I0422 05:02:41.548000 140373722052480 basic_session_run_hooks.py:260] loss = 0.67625105, step = 13800 (48.255 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.09022\n",
            "I0422 05:03:29.389019 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.09022\n",
            "INFO:tensorflow:loss = 0.6771792, step = 13900 (47.842 sec)\n",
            "I0422 05:03:29.390011 140373722052480 basic_session_run_hooks.py:260] loss = 0.6771792, step = 13900 (47.842 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07272\n",
            "I0422 05:04:17.634749 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07272\n",
            "INFO:tensorflow:loss = 0.6805808, step = 14000 (48.247 sec)\n",
            "I0422 05:04:17.636614 140373722052480 basic_session_run_hooks.py:260] loss = 0.6805808, step = 14000 (48.247 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07105\n",
            "I0422 05:05:05.919328 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07105\n",
            "INFO:tensorflow:loss = 0.6953007, step = 14100 (48.284 sec)\n",
            "I0422 05:05:05.920352 140373722052480 basic_session_run_hooks.py:260] loss = 0.6953007, step = 14100 (48.284 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07062\n",
            "I0422 05:05:54.213950 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07062\n",
            "INFO:tensorflow:loss = 0.67978185, step = 14200 (48.295 sec)\n",
            "I0422 05:05:54.215281 140373722052480 basic_session_run_hooks.py:260] loss = 0.67978185, step = 14200 (48.295 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08233\n",
            "I0422 05:06:42.237084 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08233\n",
            "INFO:tensorflow:loss = 0.66092354, step = 14300 (48.023 sec)\n",
            "I0422 05:06:42.238562 140373722052480 basic_session_run_hooks.py:260] loss = 0.66092354, step = 14300 (48.023 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07341\n",
            "I0422 05:07:30.466892 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07341\n",
            "INFO:tensorflow:loss = 0.66368496, step = 14400 (48.229 sec)\n",
            "I0422 05:07:30.467945 140373722052480 basic_session_run_hooks.py:260] loss = 0.66368496, step = 14400 (48.229 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0634\n",
            "I0422 05:08:18.930664 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0634\n",
            "INFO:tensorflow:loss = 1.2453617, step = 14500 (48.464 sec)\n",
            "I0422 05:08:18.931650 140373722052480 basic_session_run_hooks.py:260] loss = 1.2453617, step = 14500 (48.464 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.07155\n",
            "I0422 05:09:07.203612 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.07155\n",
            "INFO:tensorflow:loss = 0.73896015, step = 14600 (48.273 sec)\n",
            "I0422 05:09:07.205142 140373722052480 basic_session_run_hooks.py:260] loss = 0.73896015, step = 14600 (48.273 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.08222\n",
            "I0422 05:09:55.229381 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.08222\n",
            "INFO:tensorflow:loss = 0.6682409, step = 14700 (48.025 sec)\n",
            "I0422 05:09:55.230460 140373722052480 basic_session_run_hooks.py:260] loss = 0.6682409, step = 14700 (48.025 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 14744 into training/model.ckpt.\n",
            "I0422 05:10:16.031151 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 14744 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 05:10:19.612248 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 05:10:22.007820 140373722052480 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",
            "I0422 05:10:22.035631 140373722052480 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",
            "I0422 05:10:22.063052 140373722052480 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",
            "I0422 05:10:22.090863 140373722052480 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",
            "I0422 05:10:22.118170 140373722052480 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",
            "I0422 05:10:22.145807 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 05:10:23.871791 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T05:10:23Z\n",
            "I0422 05:10:23.892380 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T05:10:23Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 05:10:24.421870 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 05:10:24.422563: 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",
            "2020-04-22 05:10:24.423067: 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",
            "2020-04-22 05:10:24.423159: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 05:10:24.423187: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 05:10:24.423211: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 05:10:24.423234: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 05:10:24.423262: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 05:10:24.423285: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 05:10:24.423309: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 05:10:24.423408: 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",
            "2020-04-22 05:10:24.423857: 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",
            "2020-04-22 05:10:24.424174: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 05:10:24.424216: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 05:10:24.424229: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 05:10:24.424238: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 05:10:24.424318: 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",
            "2020-04-22 05:10:24.424684: 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",
            "2020-04-22 05:10:24.425021: 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-14744\n",
            "I0422 05:10:24.426934 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-14744\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 05:10:25.792181 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 05:10:25.967676 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 05:11:13.669228 140369762354944 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 05:11:13.671658 140369762354944 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 05:11:13.709846 140369762354944 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.66s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.71s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.704\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.862\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.808\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.105\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.302\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.722\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.458\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.774\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.783\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.138\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.364\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.799\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-05:11:18\n",
            "I0422 05:11:18.286084 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-05:11:18\n",
            "INFO:tensorflow:Saving dict for global step 14744: DetectionBoxes_Precision/mAP = 0.70391405, DetectionBoxes_Precision/mAP (large) = 0.7216287, DetectionBoxes_Precision/mAP (medium) = 0.30153582, DetectionBoxes_Precision/mAP (small) = 0.10470297, DetectionBoxes_Precision/mAP@.50IOU = 0.86232847, DetectionBoxes_Precision/mAP@.75IOU = 0.8083333, DetectionBoxes_Recall/AR@1 = 0.4582887, DetectionBoxes_Recall/AR@10 = 0.77391756, DetectionBoxes_Recall/AR@100 = 0.78293175, DetectionBoxes_Recall/AR@100 (large) = 0.7990299, DetectionBoxes_Recall/AR@100 (medium) = 0.36446455, DetectionBoxes_Recall/AR@100 (small) = 0.1375, Loss/classification_loss = 5.079962, Loss/localization_loss = 0.4285592, Loss/regularization_loss = 0.55178756, Loss/total_loss = 6.060303, global_step = 14744, learning_rate = 0.004, loss = 6.060303\n",
            "I0422 05:11:18.286353 140373722052480 estimator.py:2049] Saving dict for global step 14744: DetectionBoxes_Precision/mAP = 0.70391405, DetectionBoxes_Precision/mAP (large) = 0.7216287, DetectionBoxes_Precision/mAP (medium) = 0.30153582, DetectionBoxes_Precision/mAP (small) = 0.10470297, DetectionBoxes_Precision/mAP@.50IOU = 0.86232847, DetectionBoxes_Precision/mAP@.75IOU = 0.8083333, DetectionBoxes_Recall/AR@1 = 0.4582887, DetectionBoxes_Recall/AR@10 = 0.77391756, DetectionBoxes_Recall/AR@100 = 0.78293175, DetectionBoxes_Recall/AR@100 (large) = 0.7990299, DetectionBoxes_Recall/AR@100 (medium) = 0.36446455, DetectionBoxes_Recall/AR@100 (small) = 0.1375, Loss/classification_loss = 5.079962, Loss/localization_loss = 0.4285592, Loss/regularization_loss = 0.55178756, Loss/total_loss = 6.060303, global_step = 14744, learning_rate = 0.004, loss = 6.060303\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 14744: training/model.ckpt-14744\n",
            "I0422 05:11:18.294352 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 14744: training/model.ckpt-14744\n",
            "INFO:tensorflow:global_step/sec: 0.905009\n",
            "I0422 05:11:45.725547 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.905009\n",
            "INFO:tensorflow:loss = 0.7416562, step = 14800 (110.496 sec)\n",
            "I0422 05:11:45.726876 140373722052480 basic_session_run_hooks.py:260] loss = 0.7416562, step = 14800 (110.496 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05382\n",
            "I0422 05:12:34.415269 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05382\n",
            "INFO:tensorflow:loss = 0.6912582, step = 14900 (48.690 sec)\n",
            "I0422 05:12:34.416480 140373722052480 basic_session_run_hooks.py:260] loss = 0.6912582, step = 14900 (48.690 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06828\n",
            "I0422 05:13:22.764665 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06828\n",
            "INFO:tensorflow:loss = 0.6524384, step = 15000 (48.349 sec)\n",
            "I0422 05:13:22.765846 140373722052480 basic_session_run_hooks.py:260] loss = 0.6524384, step = 15000 (48.349 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06943\n",
            "I0422 05:14:11.087015 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06943\n",
            "INFO:tensorflow:loss = 0.6586537, step = 15100 (48.323 sec)\n",
            "I0422 05:14:11.088668 140373722052480 basic_session_run_hooks.py:260] loss = 0.6586537, step = 15100 (48.323 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06433\n",
            "I0422 05:14:59.529009 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06433\n",
            "INFO:tensorflow:loss = 0.6642627, step = 15200 (48.442 sec)\n",
            "I0422 05:14:59.530301 140373722052480 basic_session_run_hooks.py:260] loss = 0.6642627, step = 15200 (48.442 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06717\n",
            "I0422 05:15:47.904224 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06717\n",
            "INFO:tensorflow:loss = 0.6440454, step = 15300 (48.375 sec)\n",
            "I0422 05:15:47.905547 140373722052480 basic_session_run_hooks.py:260] loss = 0.6440454, step = 15300 (48.375 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05312\n",
            "I0422 05:16:36.610553 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05312\n",
            "INFO:tensorflow:loss = 0.69709516, step = 15400 (48.707 sec)\n",
            "I0422 05:16:36.612312 140373722052480 basic_session_run_hooks.py:260] loss = 0.69709516, step = 15400 (48.707 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05616\n",
            "I0422 05:17:25.244920 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05616\n",
            "INFO:tensorflow:loss = 0.63952416, step = 15500 (48.634 sec)\n",
            "I0422 05:17:25.245907 140373722052480 basic_session_run_hooks.py:260] loss = 0.63952416, step = 15500 (48.634 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05373\n",
            "I0422 05:18:13.936730 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05373\n",
            "INFO:tensorflow:loss = 0.64825, step = 15600 (48.692 sec)\n",
            "I0422 05:18:13.937876 140373722052480 basic_session_run_hooks.py:260] loss = 0.64825, step = 15600 (48.692 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04748\n",
            "I0422 05:19:02.777266 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04748\n",
            "INFO:tensorflow:loss = 0.65542805, step = 15700 (48.841 sec)\n",
            "I0422 05:19:02.778690 140373722052480 basic_session_run_hooks.py:260] loss = 0.65542805, step = 15700 (48.841 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04518\n",
            "I0422 05:19:51.672842 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04518\n",
            "INFO:tensorflow:loss = 0.6293425, step = 15800 (48.895 sec)\n",
            "I0422 05:19:51.673904 140373722052480 basic_session_run_hooks.py:260] loss = 0.6293425, step = 15800 (48.895 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 15851 into training/model.ckpt.\n",
            "I0422 05:20:16.259113 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 15851 into training/model.ckpt.\n",
            "INFO:tensorflow:Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "I0422 05:20:18.751329 140373722052480 training.py:527] Skip the current checkpoint eval due to throttle secs (600 secs).\n",
            "INFO:tensorflow:global_step/sec: 1.92757\n",
            "I0422 05:20:43.551581 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 1.92757\n",
            "INFO:tensorflow:loss = 0.6181051, step = 15900 (51.879 sec)\n",
            "I0422 05:20:43.552735 140373722052480 basic_session_run_hooks.py:260] loss = 0.6181051, step = 15900 (51.879 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05839\n",
            "I0422 05:21:32.133404 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05839\n",
            "INFO:tensorflow:loss = 0.69874364, step = 16000 (48.583 sec)\n",
            "I0422 05:21:32.135258 140373722052480 basic_session_run_hooks.py:260] loss = 0.69874364, step = 16000 (48.583 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04939\n",
            "I0422 05:22:20.928387 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04939\n",
            "INFO:tensorflow:loss = 0.6752494, step = 16100 (48.794 sec)\n",
            "I0422 05:22:20.929494 140373722052480 basic_session_run_hooks.py:260] loss = 0.6752494, step = 16100 (48.794 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04789\n",
            "I0422 05:23:09.759128 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04789\n",
            "INFO:tensorflow:loss = 0.6699846, step = 16200 (48.831 sec)\n",
            "I0422 05:23:09.760315 140373722052480 basic_session_run_hooks.py:260] loss = 0.6699846, step = 16200 (48.831 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05329\n",
            "I0422 05:23:58.461446 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05329\n",
            "INFO:tensorflow:loss = 0.6640965, step = 16300 (48.703 sec)\n",
            "I0422 05:23:58.463149 140373722052480 basic_session_run_hooks.py:260] loss = 0.6640965, step = 16300 (48.703 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05033\n",
            "I0422 05:24:47.234002 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05033\n",
            "INFO:tensorflow:loss = 0.61243933, step = 16400 (48.772 sec)\n",
            "I0422 05:24:47.235100 140373722052480 basic_session_run_hooks.py:260] loss = 0.61243933, step = 16400 (48.772 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.02509\n",
            "I0422 05:25:36.614599 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.02509\n",
            "INFO:tensorflow:loss = 0.6190507, step = 16500 (49.381 sec)\n",
            "I0422 05:25:36.616066 140373722052480 basic_session_run_hooks.py:260] loss = 0.6190507, step = 16500 (49.381 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04\n",
            "I0422 05:26:25.634231 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04\n",
            "INFO:tensorflow:loss = 0.65474045, step = 16600 (49.020 sec)\n",
            "I0422 05:26:25.636016 140373722052480 basic_session_run_hooks.py:260] loss = 0.65474045, step = 16600 (49.020 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04007\n",
            "I0422 05:27:14.652128 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04007\n",
            "INFO:tensorflow:loss = 0.62494904, step = 16700 (49.017 sec)\n",
            "I0422 05:27:14.653367 140373722052480 basic_session_run_hooks.py:260] loss = 0.62494904, step = 16700 (49.017 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04829\n",
            "I0422 05:28:03.473357 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04829\n",
            "INFO:tensorflow:loss = 0.6281242, step = 16800 (48.821 sec)\n",
            "I0422 05:28:03.474454 140373722052480 basic_session_run_hooks.py:260] loss = 0.6281242, step = 16800 (48.821 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06239\n",
            "I0422 05:28:51.960714 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06239\n",
            "INFO:tensorflow:loss = 0.6328019, step = 16900 (48.488 sec)\n",
            "I0422 05:28:51.962084 140373722052480 basic_session_run_hooks.py:260] loss = 0.6328019, step = 16900 (48.488 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03581\n",
            "I0422 05:29:41.081302 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03581\n",
            "INFO:tensorflow:loss = 0.6446027, step = 17000 (49.120 sec)\n",
            "I0422 05:29:41.082486 140373722052480 basic_session_run_hooks.py:260] loss = 0.6446027, step = 17000 (49.120 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 17074 into training/model.ckpt.\n",
            "I0422 05:30:16.685448 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 17074 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 05:30:19.798892 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 05:30:22.162055 140373722052480 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",
            "I0422 05:30:22.190512 140373722052480 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",
            "I0422 05:30:22.218179 140373722052480 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",
            "I0422 05:30:22.246551 140373722052480 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",
            "I0422 05:30:22.274458 140373722052480 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",
            "I0422 05:30:22.301500 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 05:30:23.921368 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T05:30:23Z\n",
            "I0422 05:30:23.936980 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T05:30:23Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 05:30:24.459274 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 05:30:24.460421: 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",
            "2020-04-22 05:30:24.461148: 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",
            "2020-04-22 05:30:24.461258: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 05:30:24.461283: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 05:30:24.461304: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 05:30:24.461321: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 05:30:24.461340: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 05:30:24.461358: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 05:30:24.461377: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 05:30:24.461468: 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",
            "2020-04-22 05:30:24.461886: 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",
            "2020-04-22 05:30:24.462267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 05:30:24.462380: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 05:30:24.462395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 05:30:24.462404: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 05:30:24.462502: 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",
            "2020-04-22 05:30:24.462897: 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",
            "2020-04-22 05:30:24.463226: 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-17074\n",
            "I0422 05:30:24.465427 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-17074\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 05:30:25.839599 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 05:30:26.015838 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 05:31:16.054482 140369762354944 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 05:31:16.057936 140369762354944 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 05:31:16.093508 140369762354944 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.52s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.71s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.726\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.884\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.829\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.108\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.356\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.741\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.466\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.785\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.793\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.163\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.415\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.808\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-05:31:20\n",
            "I0422 05:31:20.511627 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-05:31:20\n",
            "INFO:tensorflow:Saving dict for global step 17074: DetectionBoxes_Precision/mAP = 0.7262891, DetectionBoxes_Precision/mAP (large) = 0.7408237, DetectionBoxes_Precision/mAP (medium) = 0.35550848, DetectionBoxes_Precision/mAP (small) = 0.1080033, DetectionBoxes_Precision/mAP@.50IOU = 0.88363, DetectionBoxes_Precision/mAP@.75IOU = 0.82862145, DetectionBoxes_Recall/AR@1 = 0.46579373, DetectionBoxes_Recall/AR@10 = 0.7848385, DetectionBoxes_Recall/AR@100 = 0.7933114, DetectionBoxes_Recall/AR@100 (large) = 0.8075846, DetectionBoxes_Recall/AR@100 (medium) = 0.4148304, DetectionBoxes_Recall/AR@100 (small) = 0.1625, Loss/classification_loss = 5.2623515, Loss/localization_loss = 0.426018, Loss/regularization_loss = 0.54830927, Loss/total_loss = 6.2366796, global_step = 17074, learning_rate = 0.004, loss = 6.2366796\n",
            "I0422 05:31:20.511974 140373722052480 estimator.py:2049] Saving dict for global step 17074: DetectionBoxes_Precision/mAP = 0.7262891, DetectionBoxes_Precision/mAP (large) = 0.7408237, DetectionBoxes_Precision/mAP (medium) = 0.35550848, DetectionBoxes_Precision/mAP (small) = 0.1080033, DetectionBoxes_Precision/mAP@.50IOU = 0.88363, DetectionBoxes_Precision/mAP@.75IOU = 0.82862145, DetectionBoxes_Recall/AR@1 = 0.46579373, DetectionBoxes_Recall/AR@10 = 0.7848385, DetectionBoxes_Recall/AR@100 = 0.7933114, DetectionBoxes_Recall/AR@100 (large) = 0.8075846, DetectionBoxes_Recall/AR@100 (medium) = 0.4148304, DetectionBoxes_Recall/AR@100 (small) = 0.1625, Loss/classification_loss = 5.2623515, Loss/localization_loss = 0.426018, Loss/regularization_loss = 0.54830927, Loss/total_loss = 6.2366796, global_step = 17074, learning_rate = 0.004, loss = 6.2366796\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 17074: training/model.ckpt-17074\n",
            "I0422 05:31:20.519710 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 17074: training/model.ckpt-17074\n",
            "INFO:tensorflow:global_step/sec: 0.887296\n",
            "I0422 05:31:33.783315 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.887296\n",
            "INFO:tensorflow:loss = 0.6342277, step = 17100 (112.702 sec)\n",
            "I0422 05:31:33.784755 140373722052480 basic_session_run_hooks.py:260] loss = 0.6342277, step = 17100 (112.702 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05932\n",
            "I0422 05:32:22.343129 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05932\n",
            "INFO:tensorflow:loss = 0.6133009, step = 17200 (48.560 sec)\n",
            "I0422 05:32:22.344425 140373722052480 basic_session_run_hooks.py:260] loss = 0.6133009, step = 17200 (48.560 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.051\n",
            "I0422 05:33:11.099705 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.051\n",
            "INFO:tensorflow:loss = 0.6148952, step = 17300 (48.756 sec)\n",
            "I0422 05:33:11.100892 140373722052480 basic_session_run_hooks.py:260] loss = 0.6148952, step = 17300 (48.756 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04964\n",
            "I0422 05:33:59.888986 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04964\n",
            "INFO:tensorflow:loss = 0.6253307, step = 17400 (48.790 sec)\n",
            "I0422 05:33:59.891034 140373722052480 basic_session_run_hooks.py:260] loss = 0.6253307, step = 17400 (48.790 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03598\n",
            "I0422 05:34:49.005269 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03598\n",
            "INFO:tensorflow:loss = 0.6277163, step = 17500 (49.115 sec)\n",
            "I0422 05:34:49.006347 140373722052480 basic_session_run_hooks.py:260] loss = 0.6277163, step = 17500 (49.115 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05187\n",
            "I0422 05:35:37.741367 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05187\n",
            "INFO:tensorflow:loss = 0.61954993, step = 17600 (48.736 sec)\n",
            "I0422 05:35:37.742372 140373722052480 basic_session_run_hooks.py:260] loss = 0.61954993, step = 17600 (48.736 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05045\n",
            "I0422 05:36:26.511195 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05045\n",
            "INFO:tensorflow:loss = 0.6177247, step = 17700 (48.770 sec)\n",
            "I0422 05:36:26.512533 140373722052480 basic_session_run_hooks.py:260] loss = 0.6177247, step = 17700 (48.770 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03913\n",
            "I0422 05:37:15.551727 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03913\n",
            "INFO:tensorflow:loss = 0.6411895, step = 17800 (49.040 sec)\n",
            "I0422 05:37:15.552639 140373722052480 basic_session_run_hooks.py:260] loss = 0.6411895, step = 17800 (49.040 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06406\n",
            "I0422 05:38:04.000025 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06406\n",
            "INFO:tensorflow:loss = 1.377363, step = 17900 (48.449 sec)\n",
            "I0422 05:38:04.001344 140373722052480 basic_session_run_hooks.py:260] loss = 1.377363, step = 17900 (48.449 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03993\n",
            "I0422 05:38:53.021311 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03993\n",
            "INFO:tensorflow:loss = 0.6878326, step = 18000 (49.022 sec)\n",
            "I0422 05:38:53.023026 140373722052480 basic_session_run_hooks.py:260] loss = 0.6878326, step = 18000 (49.022 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05153\n",
            "I0422 05:39:41.765500 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05153\n",
            "INFO:tensorflow:loss = 0.61980206, step = 18100 (48.744 sec)\n",
            "I0422 05:39:41.766618 140373722052480 basic_session_run_hooks.py:260] loss = 0.61980206, step = 18100 (48.744 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 18173 into training/model.ckpt.\n",
            "I0422 05:40:16.791185 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 18173 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 05:40:19.860997 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 05:40:22.278465 140373722052480 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",
            "I0422 05:40:22.307241 140373722052480 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",
            "I0422 05:40:22.334747 140373722052480 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",
            "I0422 05:40:22.362506 140373722052480 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",
            "I0422 05:40:22.391924 140373722052480 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",
            "I0422 05:40:22.421366 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 05:40:24.056239 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T05:40:24Z\n",
            "I0422 05:40:24.071543 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T05:40:24Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 05:40:24.545065 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 05:40:24.545745: 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",
            "2020-04-22 05:40:24.546316: 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",
            "2020-04-22 05:40:24.546444: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 05:40:24.546480: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 05:40:24.546506: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 05:40:24.546525: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 05:40:24.547301: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 05:40:24.547345: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 05:40:24.547370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 05:40:24.547476: 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",
            "2020-04-22 05:40:24.548047: 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",
            "2020-04-22 05:40:24.548525: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 05:40:24.548575: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 05:40:24.548589: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 05:40:24.548601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 05:40:24.548699: 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",
            "2020-04-22 05:40:24.549110: 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",
            "2020-04-22 05:40:24.549459: 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-18173\n",
            "I0422 05:40:24.551503 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-18173\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 05:40:25.919856 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 05:40:26.082725 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 05:41:15.854918 140369762354944 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 05:41:15.858890 140369762354944 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 05:41:15.900741 140369762354944 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.47s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.72s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.731\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.882\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.825\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.239\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.379\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.744\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.461\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.786\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.796\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.237\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.416\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.809\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-05:41:20\n",
            "I0422 05:41:20.296543 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-05:41:20\n",
            "INFO:tensorflow:Saving dict for global step 18173: DetectionBoxes_Precision/mAP = 0.7310935, DetectionBoxes_Precision/mAP (large) = 0.74368274, DetectionBoxes_Precision/mAP (medium) = 0.37941325, DetectionBoxes_Precision/mAP (small) = 0.23861386, DetectionBoxes_Precision/mAP@.50IOU = 0.8816877, DetectionBoxes_Precision/mAP@.75IOU = 0.82476187, DetectionBoxes_Recall/AR@1 = 0.46127757, DetectionBoxes_Recall/AR@10 = 0.7858838, DetectionBoxes_Recall/AR@100 = 0.7955962, DetectionBoxes_Recall/AR@100 (large) = 0.8086381, DetectionBoxes_Recall/AR@100 (medium) = 0.41611826, DetectionBoxes_Recall/AR@100 (small) = 0.2375, Loss/classification_loss = 5.376895, Loss/localization_loss = 0.42743766, Loss/regularization_loss = 0.5466428, Loss/total_loss = 6.3509793, global_step = 18173, learning_rate = 0.004, loss = 6.3509793\n",
            "I0422 05:41:20.296853 140373722052480 estimator.py:2049] Saving dict for global step 18173: DetectionBoxes_Precision/mAP = 0.7310935, DetectionBoxes_Precision/mAP (large) = 0.74368274, DetectionBoxes_Precision/mAP (medium) = 0.37941325, DetectionBoxes_Precision/mAP (small) = 0.23861386, DetectionBoxes_Precision/mAP@.50IOU = 0.8816877, DetectionBoxes_Precision/mAP@.75IOU = 0.82476187, DetectionBoxes_Recall/AR@1 = 0.46127757, DetectionBoxes_Recall/AR@10 = 0.7858838, DetectionBoxes_Recall/AR@100 = 0.7955962, DetectionBoxes_Recall/AR@100 (large) = 0.8086381, DetectionBoxes_Recall/AR@100 (medium) = 0.41611826, DetectionBoxes_Recall/AR@100 (small) = 0.2375, Loss/classification_loss = 5.376895, Loss/localization_loss = 0.42743766, Loss/regularization_loss = 0.5466428, Loss/total_loss = 6.3509793, global_step = 18173, learning_rate = 0.004, loss = 6.3509793\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 18173: training/model.ckpt-18173\n",
            "I0422 05:41:20.306277 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 18173: training/model.ckpt-18173\n",
            "INFO:tensorflow:global_step/sec: 0.890079\n",
            "I0422 05:41:34.115113 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.890079\n",
            "INFO:tensorflow:loss = 0.6458527, step = 18200 (112.350 sec)\n",
            "I0422 05:41:34.116820 140373722052480 basic_session_run_hooks.py:260] loss = 0.6458527, step = 18200 (112.350 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04852\n",
            "I0422 05:42:22.930745 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04852\n",
            "INFO:tensorflow:loss = 0.72199917, step = 18300 (48.815 sec)\n",
            "I0422 05:42:22.931949 140373722052480 basic_session_run_hooks.py:260] loss = 0.72199917, step = 18300 (48.815 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06508\n",
            "I0422 05:43:11.354975 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06508\n",
            "INFO:tensorflow:loss = 0.6204587, step = 18400 (48.424 sec)\n",
            "I0422 05:43:11.356163 140373722052480 basic_session_run_hooks.py:260] loss = 0.6204587, step = 18400 (48.424 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04337\n",
            "I0422 05:44:00.293812 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04337\n",
            "INFO:tensorflow:loss = 0.60615385, step = 18500 (48.939 sec)\n",
            "I0422 05:44:00.295620 140373722052480 basic_session_run_hooks.py:260] loss = 0.60615385, step = 18500 (48.939 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06432\n",
            "I0422 05:44:48.735809 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06432\n",
            "INFO:tensorflow:loss = 0.6207941, step = 18600 (48.441 sec)\n",
            "I0422 05:44:48.736804 140373722052480 basic_session_run_hooks.py:260] loss = 0.6207941, step = 18600 (48.441 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04362\n",
            "I0422 05:45:37.668634 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04362\n",
            "INFO:tensorflow:loss = 0.639295, step = 18700 (48.933 sec)\n",
            "I0422 05:45:37.669994 140373722052480 basic_session_run_hooks.py:260] loss = 0.639295, step = 18700 (48.933 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05227\n",
            "I0422 05:46:26.395154 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05227\n",
            "INFO:tensorflow:loss = 0.6318528, step = 18800 (48.727 sec)\n",
            "I0422 05:46:26.396510 140373722052480 basic_session_run_hooks.py:260] loss = 0.6318528, step = 18800 (48.727 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03774\n",
            "I0422 05:47:15.469215 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03774\n",
            "INFO:tensorflow:loss = 0.65717626, step = 18900 (49.074 sec)\n",
            "I0422 05:47:15.470508 140373722052480 basic_session_run_hooks.py:260] loss = 0.65717626, step = 18900 (49.074 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.02952\n",
            "I0422 05:48:04.741963 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.02952\n",
            "INFO:tensorflow:loss = 0.5995737, step = 19000 (49.273 sec)\n",
            "I0422 05:48:04.743270 140373722052480 basic_session_run_hooks.py:260] loss = 0.5995737, step = 19000 (49.273 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05749\n",
            "I0422 05:48:53.344927 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05749\n",
            "INFO:tensorflow:loss = 0.6076359, step = 19100 (48.603 sec)\n",
            "I0422 05:48:53.346597 140373722052480 basic_session_run_hooks.py:260] loss = 0.6076359, step = 19100 (48.603 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.0437\n",
            "I0422 05:49:42.275822 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.0437\n",
            "INFO:tensorflow:loss = 0.6060675, step = 19200 (48.930 sec)\n",
            "I0422 05:49:42.276943 140373722052480 basic_session_run_hooks.py:260] loss = 0.6060675, step = 19200 (48.930 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 19272 into training/model.ckpt.\n",
            "I0422 05:50:16.944655 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 19272 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 05:50:20.480488 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 05:50:22.862078 140373722052480 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",
            "I0422 05:50:22.890135 140373722052480 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",
            "I0422 05:50:22.917377 140373722052480 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",
            "I0422 05:50:22.944087 140373722052480 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",
            "I0422 05:50:22.972320 140373722052480 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",
            "I0422 05:50:22.999035 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 05:50:24.952813 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T05:50:24Z\n",
            "I0422 05:50:24.969531 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T05:50:24Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 05:50:25.493643 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 05:50:25.494833: 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",
            "2020-04-22 05:50:25.495570: 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",
            "2020-04-22 05:50:25.495718: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 05:50:25.495826: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 05:50:25.495915: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 05:50:25.495970: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 05:50:25.496036: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 05:50:25.496102: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 05:50:25.496136: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 05:50:25.496290: 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",
            "2020-04-22 05:50:25.497132: 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",
            "2020-04-22 05:50:25.497929: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 05:50:25.498050: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 05:50:25.498091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 05:50:25.498120: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 05:50:25.498286: 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",
            "2020-04-22 05:50:25.499094: 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",
            "2020-04-22 05:50:25.499709: 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-19272\n",
            "I0422 05:50:25.503184 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-19272\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 05:50:26.912129 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 05:50:27.116748 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 05:51:16.555058 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 05:51:16.558228 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 05:51:16.597977 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.72s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.70s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.758\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.889\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.839\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.232\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.372\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.771\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.486\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.805\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.814\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.237\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.404\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.828\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-05:51:21\n",
            "I0422 05:51:21.224997 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-05:51:21\n",
            "INFO:tensorflow:Saving dict for global step 19272: DetectionBoxes_Precision/mAP = 0.7575984, DetectionBoxes_Precision/mAP (large) = 0.7705944, DetectionBoxes_Precision/mAP (medium) = 0.3723502, DetectionBoxes_Precision/mAP (small) = 0.23217821, DetectionBoxes_Precision/mAP@.50IOU = 0.88910985, DetectionBoxes_Precision/mAP@.75IOU = 0.83888865, DetectionBoxes_Recall/AR@1 = 0.48552305, DetectionBoxes_Recall/AR@10 = 0.8053376, DetectionBoxes_Recall/AR@100 = 0.81414986, DetectionBoxes_Recall/AR@100 (large) = 0.828245, DetectionBoxes_Recall/AR@100 (medium) = 0.40353155, DetectionBoxes_Recall/AR@100 (small) = 0.2375, Loss/classification_loss = 5.444001, Loss/localization_loss = 0.42000207, Loss/regularization_loss = 0.54495233, Loss/total_loss = 6.4089556, global_step = 19272, learning_rate = 0.004, loss = 6.4089556\n",
            "I0422 05:51:21.225276 140373722052480 estimator.py:2049] Saving dict for global step 19272: DetectionBoxes_Precision/mAP = 0.7575984, DetectionBoxes_Precision/mAP (large) = 0.7705944, DetectionBoxes_Precision/mAP (medium) = 0.3723502, DetectionBoxes_Precision/mAP (small) = 0.23217821, DetectionBoxes_Precision/mAP@.50IOU = 0.88910985, DetectionBoxes_Precision/mAP@.75IOU = 0.83888865, DetectionBoxes_Recall/AR@1 = 0.48552305, DetectionBoxes_Recall/AR@10 = 0.8053376, DetectionBoxes_Recall/AR@100 = 0.81414986, DetectionBoxes_Recall/AR@100 (large) = 0.828245, DetectionBoxes_Recall/AR@100 (medium) = 0.40353155, DetectionBoxes_Recall/AR@100 (small) = 0.2375, Loss/classification_loss = 5.444001, Loss/localization_loss = 0.42000207, Loss/regularization_loss = 0.54495233, Loss/total_loss = 6.4089556, global_step = 19272, learning_rate = 0.004, loss = 6.4089556\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 19272: training/model.ckpt-19272\n",
            "I0422 05:51:21.234333 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 19272: training/model.ckpt-19272\n",
            "INFO:tensorflow:global_step/sec: 0.883613\n",
            "I0422 05:51:35.447503 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.883613\n",
            "INFO:tensorflow:loss = 0.6074441, step = 19300 (113.172 sec)\n",
            "I0422 05:51:35.449202 140373722052480 basic_session_run_hooks.py:260] loss = 0.6074441, step = 19300 (113.172 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05661\n",
            "I0422 05:52:24.071211 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05661\n",
            "INFO:tensorflow:loss = 0.59587693, step = 19400 (48.623 sec)\n",
            "I0422 05:52:24.072157 140373722052480 basic_session_run_hooks.py:260] loss = 0.59587693, step = 19400 (48.623 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05858\n",
            "I0422 05:53:12.648288 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05858\n",
            "INFO:tensorflow:loss = 0.59753686, step = 19500 (48.577 sec)\n",
            "I0422 05:53:12.649407 140373722052480 basic_session_run_hooks.py:260] loss = 0.59753686, step = 19500 (48.577 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05716\n",
            "I0422 05:54:01.258929 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05716\n",
            "INFO:tensorflow:loss = 0.6004964, step = 19600 (48.611 sec)\n",
            "I0422 05:54:01.260488 140373722052480 basic_session_run_hooks.py:260] loss = 0.6004964, step = 19600 (48.611 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04575\n",
            "I0422 05:54:50.140862 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04575\n",
            "INFO:tensorflow:loss = 0.60746795, step = 19700 (48.881 sec)\n",
            "I0422 05:54:50.141915 140373722052480 basic_session_run_hooks.py:260] loss = 0.60746795, step = 19700 (48.881 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05567\n",
            "I0422 05:55:38.786788 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05567\n",
            "INFO:tensorflow:loss = 0.6105658, step = 19800 (48.646 sec)\n",
            "I0422 05:55:38.788068 140373722052480 basic_session_run_hooks.py:260] loss = 0.6105658, step = 19800 (48.646 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.03959\n",
            "I0422 05:56:27.816251 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.03959\n",
            "INFO:tensorflow:loss = 0.6944959, step = 19900 (49.030 sec)\n",
            "I0422 05:56:27.817637 140373722052480 basic_session_run_hooks.py:260] loss = 0.6944959, step = 19900 (49.030 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04745\n",
            "I0422 05:57:16.657500 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04745\n",
            "INFO:tensorflow:loss = 0.645581, step = 20000 (48.841 sec)\n",
            "I0422 05:57:16.658654 140373722052480 basic_session_run_hooks.py:260] loss = 0.645581, step = 20000 (48.841 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.04014\n",
            "I0422 05:58:05.673613 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.04014\n",
            "INFO:tensorflow:loss = 0.6203317, step = 20100 (49.016 sec)\n",
            "I0422 05:58:05.674932 140373722052480 basic_session_run_hooks.py:260] loss = 0.6203317, step = 20100 (49.016 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.05789\n",
            "I0422 05:58:54.267100 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.05789\n",
            "INFO:tensorflow:loss = 0.6149608, step = 20200 (48.594 sec)\n",
            "I0422 05:58:54.268563 140373722052480 basic_session_run_hooks.py:260] loss = 0.6149608, step = 20200 (48.594 sec)\n",
            "INFO:tensorflow:global_step/sec: 2.06215\n",
            "I0422 05:59:42.760196 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 2.06215\n",
            "INFO:tensorflow:loss = 0.6470956, step = 20300 (48.493 sec)\n",
            "I0422 05:59:42.761394 140373722052480 basic_session_run_hooks.py:260] loss = 0.6470956, step = 20300 (48.493 sec)\n",
            "INFO:tensorflow:Saving checkpoints for 20371 into training/model.ckpt.\n",
            "I0422 06:00:16.964193 140373722052480 basic_session_run_hooks.py:606] Saving checkpoints for 20371 into training/model.ckpt.\n",
            "INFO:tensorflow:Calling model_fn.\n",
            "I0422 06:00:20.484850 140373722052480 estimator.py:1148] Calling model_fn.\n",
            "INFO:tensorflow:depth of additional conv before box predictor: 0\n",
            "I0422 06:00:22.877128 140373722052480 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",
            "I0422 06:00:22.905037 140373722052480 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",
            "I0422 06:00:22.932835 140373722052480 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",
            "I0422 06:00:22.960314 140373722052480 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",
            "I0422 06:00:22.987714 140373722052480 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",
            "I0422 06:00:23.014406 140373722052480 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "INFO:tensorflow:Done calling model_fn.\n",
            "I0422 06:00:24.639559 140373722052480 estimator.py:1150] Done calling model_fn.\n",
            "INFO:tensorflow:Starting evaluation at 2020-04-22T06:00:24Z\n",
            "I0422 06:00:24.654841 140373722052480 evaluation.py:255] Starting evaluation at 2020-04-22T06:00:24Z\n",
            "INFO:tensorflow:Graph was finalized.\n",
            "I0422 06:00:25.129127 140373722052480 monitored_session.py:240] Graph was finalized.\n",
            "2020-04-22 06:00:25.129757: 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",
            "2020-04-22 06:00:25.130181: 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",
            "2020-04-22 06:00:25.130269: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:00:25.130292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:00:25.130315: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:00:25.130335: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:00:25.130355: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:00:25.130375: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:00:25.130401: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:00:25.130486: 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",
            "2020-04-22 06:00:25.130925: 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",
            "2020-04-22 06:00:25.131279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:00:25.131359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 06:00:25.131372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 06:00:25.131387: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 06:00:25.131488: 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",
            "2020-04-22 06:00:25.131886: 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",
            "2020-04-22 06:00:25.132234: 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-20371\n",
            "I0422 06:00:25.134171 140373722052480 saver.py:1284] Restoring parameters from training/model.ckpt-20371\n",
            "INFO:tensorflow:Running local_init_op.\n",
            "I0422 06:00:26.508497 140373722052480 session_manager.py:500] Running local_init_op.\n",
            "INFO:tensorflow:Done running local_init_op.\n",
            "I0422 06:00:26.671182 140373722052480 session_manager.py:502] Done running local_init_op.\n",
            "INFO:tensorflow:Performing evaluation on 570 images.\n",
            "I0422 06:01:16.376150 140371090663168 coco_evaluation.py:205] Performing evaluation on 570 images.\n",
            "creating index...\n",
            "index created!\n",
            "INFO:tensorflow:Loading and preparing annotation results...\n",
            "I0422 06:01:16.379390 140371090663168 coco_tools.py:115] Loading and preparing annotation results...\n",
            "INFO:tensorflow:DONE (t=0.04s)\n",
            "I0422 06:01:16.419813 140371090663168 coco_tools.py:137] DONE (t=0.04s)\n",
            "creating index...\n",
            "index created!\n",
            "Running per image evaluation...\n",
            "Evaluate annotation type *bbox*\n",
            "DONE (t=3.73s).\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.71s).\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.760\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.889\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.834\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.130\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.399\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.773\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.484\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.808\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.817\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.163\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.454\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.830\n",
            "INFO:tensorflow:Finished evaluation at 2020-04-22-06:01:21\n",
            "I0422 06:01:21.075626 140373722052480 evaluation.py:275] Finished evaluation at 2020-04-22-06:01:21\n",
            "INFO:tensorflow:Saving dict for global step 20371: DetectionBoxes_Precision/mAP = 0.7601145, DetectionBoxes_Precision/mAP (large) = 0.7725075, DetectionBoxes_Precision/mAP (medium) = 0.3993448, DetectionBoxes_Precision/mAP (small) = 0.13019802, DetectionBoxes_Precision/mAP@.50IOU = 0.8888912, DetectionBoxes_Precision/mAP@.75IOU = 0.8339549, DetectionBoxes_Recall/AR@1 = 0.48423415, DetectionBoxes_Recall/AR@10 = 0.80818284, DetectionBoxes_Recall/AR@100 = 0.81746143, DetectionBoxes_Recall/AR@100 (large) = 0.83024114, DetectionBoxes_Recall/AR@100 (medium) = 0.4541554, DetectionBoxes_Recall/AR@100 (small) = 0.1625, Loss/classification_loss = 5.44823, Loss/localization_loss = 0.41970113, Loss/regularization_loss = 0.5432529, Loss/total_loss = 6.41118, global_step = 20371, learning_rate = 0.004, loss = 6.41118\n",
            "I0422 06:01:21.075945 140373722052480 estimator.py:2049] Saving dict for global step 20371: DetectionBoxes_Precision/mAP = 0.7601145, DetectionBoxes_Precision/mAP (large) = 0.7725075, DetectionBoxes_Precision/mAP (medium) = 0.3993448, DetectionBoxes_Precision/mAP (small) = 0.13019802, DetectionBoxes_Precision/mAP@.50IOU = 0.8888912, DetectionBoxes_Precision/mAP@.75IOU = 0.8339549, DetectionBoxes_Recall/AR@1 = 0.48423415, DetectionBoxes_Recall/AR@10 = 0.80818284, DetectionBoxes_Recall/AR@100 = 0.81746143, DetectionBoxes_Recall/AR@100 (large) = 0.83024114, DetectionBoxes_Recall/AR@100 (medium) = 0.4541554, DetectionBoxes_Recall/AR@100 (small) = 0.1625, Loss/classification_loss = 5.44823, Loss/localization_loss = 0.41970113, Loss/regularization_loss = 0.5432529, Loss/total_loss = 6.41118, global_step = 20371, learning_rate = 0.004, loss = 6.41118\n",
            "INFO:tensorflow:Saving 'checkpoint_path' summary for global step 20371: training/model.ckpt-20371\n",
            "I0422 06:01:21.084302 140373722052480 estimator.py:2109] Saving 'checkpoint_path' summary for global step 20371: training/model.ckpt-20371\n",
            "INFO:tensorflow:global_step/sec: 0.883674\n",
            "I0422 06:01:35.924041 140373722052480 basic_session_run_hooks.py:692] global_step/sec: 0.883674\n",
            "INFO:tensorflow:loss = 0.59930825, step = 20400 (113.164 sec)\n",
            "I0422 06:01:35.925891 140373722052480 basic_session_run_hooks.py:260] loss = 0.59930825, step = 20400 (113.164 sec)\n",
            "Traceback (most recent call last):\n",
            "  File \"object_detection/model_main.py\", line 109, in <module>\n",
            "    tf.app.run()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/platform/app.py\", line 40, in run\n",
            "    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/absl/app.py\", line 299, in run\n",
            "    _run_main(main, args)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/absl/app.py\", line 250, in _run_main\n",
            "    sys.exit(main(argv))\n",
            "  File \"object_detection/model_main.py\", line 105, in main\n",
            "    tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py\", line 473, in train_and_evaluate\n",
            "    return executor.run()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py\", line 613, in run\n",
            "    return self.run_local()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py\", line 714, in run_local\n",
            "    saving_listeners=saving_listeners)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 370, in train\n",
            "    loss = self._train_model(input_fn, hooks, saving_listeners)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 1161, in _train_model\n",
            "    return self._train_model_default(input_fn, hooks, saving_listeners)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 1195, in _train_model_default\n",
            "    saving_listeners)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py\", line 1494, in _train_with_estimator_spec\n",
            "    _, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py\", line 754, in run\n",
            "    run_metadata=run_metadata)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py\", line 1259, in run\n",
            "    run_metadata=run_metadata)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py\", line 1345, in run\n",
            "    return self._sess.run(*args, **kwargs)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py\", line 1418, in run\n",
            "    run_metadata=run_metadata)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py\", line 1176, in run\n",
            "    return self._sess.run(*args, **kwargs)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py\", line 956, in run\n",
            "    run_metadata_ptr)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py\", line 1180, in _run\n",
            "    feed_dict_tensor, options, run_metadata)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py\", line 1359, in _do_run\n",
            "    run_metadata)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py\", line 1365, in _do_call\n",
            "    return fn(*args)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py\", line 1350, in _run_fn\n",
            "    target_list, run_metadata)\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py\", line 1443, in _call_tf_sessionrun\n",
            "    run_metadata)\n",
            "KeyboardInterrupt\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mUUqE_Znn5mG",
        "colab_type": "code",
        "outputId": "0f535b80-f4b5-4886-d309-f2a814ffde02",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 921
        }
      },
      "source": [
        "#Run example in test_images\n",
        "!python object_detection/gup-detector.py"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From object_detection/gup-detector.py:20: The name tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.\n",
            "\n",
            "WARNING:tensorflow:From object_detection/gup-detector.py:21: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
            "\n",
            "WARNING:tensorflow:From object_detection/gup-detector.py:34: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "2020-04-22 06:11:01.701784: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2020-04-22 06:11:01.714442: 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",
            "2020-04-22 06:11:01.715020: 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",
            "2020-04-22 06:11:01.715290: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:11:01.716296: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:11:01.717282: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:11:01.717605: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:11:01.718862: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:11:01.719782: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:11:01.722717: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:11:01.722848: 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",
            "2020-04-22 06:11:01.723466: 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",
            "2020-04-22 06:11:01.723970: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:11:01.724275: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n",
            "2020-04-22 06:11:01.728781: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz\n",
            "2020-04-22 06:11:01.728955: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19d72c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-04-22 06:11:01.728980: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-04-22 06:11:01.802844: 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",
            "2020-04-22 06:11:01.803493: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19d7100 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2020-04-22 06:11:01.803522: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2020-04-22 06:11:01.803696: 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",
            "2020-04-22 06:11:01.804235: 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",
            "2020-04-22 06:11:01.804313: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:11:01.804338: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:11:01.804359: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:11:01.804380: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:11:01.804400: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:11:01.804417: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:11:01.804435: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:11:01.804508: 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",
            "2020-04-22 06:11:01.805069: 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",
            "2020-04-22 06:11:01.805552: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:11:01.805618: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:11:01.806649: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 06:11:01.806682: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 06:11:01.806691: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 06:11:01.806820: 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",
            "2020-04-22 06:11:01.807359: 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",
            "2020-04-22 06:11:01.807858: 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",
            "2020-04-22 06:11:01.807897: 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",
            "2020-04-22 06:11:03.799076: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:11:04.887941: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-Cxtzzr0Hx-9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Save model\n",
        "#dir where the model will be saved\n",
        "output_directory = './fine_tuned_model'\n",
        "\n",
        "lst = os.listdir('training')\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('training', last_model)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TnIimGpv5jNR",
        "colab_type": "code",
        "outputId": "ebed2d51-9242-452b-fad9-de4613c8178a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "last_model_path = 'training/model.ckpt-19272'\n",
        "last_model_path"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'training/model.ckpt-19272'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dVku0oXMH3DJ",
        "colab_type": "code",
        "outputId": "7a9191e9-36d7-4728-b58e-040fc7803937",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "#Convert to graph\n",
        "!python /gdrive/'My Drive'/object_detection/models/research/object_detection/export_inference_graph.py \\\n",
        "    --input_type=image_tensor \\\n",
        "    --pipeline_config_path=/gdrive/My\\ Drive/object_detection/models/research/object_detection/samples/configs/ssd_inception_v2_coco.config \\\n",
        "    --output_directory={output_directory} \\\n",
        "    --trained_checkpoint_prefix={last_model_path}"
      ],
      "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 /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:33.061151 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/models/research/object_detection/exporter.py:402: The name tf.gfile.MakeDirs is deprecated. Please use tf.io.gfile.makedirs instead.\n",
            "\n",
            "W0422 06:10:33.068606 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/models/research/object_detection/exporter.py:121: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "W0422 06:10:33.070971 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.\n",
            "\n",
            "W0422 06:10:33.102664 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "W0422 06:10:33.127189 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.\n",
            "\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 06:10:33.127399 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "W0422 06:10:33.129601 140686791862144 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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:35.597903 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:35.607425 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "I0422 06:10:35.607592 140686791862144 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",
            "I0422 06:10:35.642962 140686791862144 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",
            "I0422 06:10:35.683560 140686791862144 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",
            "I0422 06:10:35.717829 140686791862144 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",
            "I0422 06:10:35.752636 140686791862144 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",
            "I0422 06:10:35.787627 140686791862144 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 06:10:36.031141 140686791862144 deprecation.py:323] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:36.657686 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:36.657979 140686791862144 deprecation.py:323] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:36.661527 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:36.661791 140686791862144 deprecation.py:323] From /gdrive/My Drive/object_detection/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",
            "W0422 06:10:36.663275 140686791862144 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",
            "183 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 (--/14.49m params)\n",
            "  BoxPredictor_0 (--/248.88k 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 (--/186.66k params)\n",
            "      BoxPredictor_0/ClassPredictor/biases (36, 36/36 params)\n",
            "      BoxPredictor_0/ClassPredictor/weights (3x3x576x36, 186.62k/186.62k params)\n",
            "  BoxPredictor_1 (--/884.83k 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 (--/663.62k params)\n",
            "      BoxPredictor_1/ClassPredictor/biases (72, 72/72 params)\n",
            "      BoxPredictor_1/ClassPredictor/weights (3x3x1024x72, 663.55k/663.55k params)\n",
            "  BoxPredictor_2 (--/442.46k 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 (--/331.85k params)\n",
            "      BoxPredictor_2/ClassPredictor/biases (72, 72/72 params)\n",
            "      BoxPredictor_2/ClassPredictor/weights (3x3x512x72, 331.78k/331.78k params)\n",
            "  BoxPredictor_3 (--/221.28k 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 (--/165.96k params)\n",
            "      BoxPredictor_3/ClassPredictor/biases (72, 72/72 params)\n",
            "      BoxPredictor_3/ClassPredictor/weights (3x3x256x72, 165.89k/165.89k params)\n",
            "  BoxPredictor_4 (--/221.28k 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 (--/165.96k params)\n",
            "      BoxPredictor_4/ClassPredictor/biases (72, 72/72 params)\n",
            "      BoxPredictor_4/ClassPredictor/weights (3x3x256x72, 165.89k/165.89k params)\n",
            "  BoxPredictor_5 (--/110.69k 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 (--/83.02k params)\n",
            "      BoxPredictor_5/ClassPredictor/biases (72, 72/72 params)\n",
            "      BoxPredictor_5/ClassPredictor/weights (3x3x128x72, 82.94k/82.94k 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",
            "183 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 (--/13.74k 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/sub_1 (1.20k/1.20k flops)\n",
            "  MultipleGridAnchorGenerator/mul_28 (1.20k/1.20k flops)\n",
            "  MultipleGridAnchorGenerator/mul_21 (1.08k/1.08k flops)\n",
            "  MultipleGridAnchorGenerator/mul_29 (600/600 flops)\n",
            "  MultipleGridAnchorGenerator/sub_2 (300/300 flops)\n",
            "  MultipleGridAnchorGenerator/mul_36 (300/300 flops)\n",
            "  MultipleGridAnchorGenerator/mul_35 (300/300 flops)\n",
            "  MultipleGridAnchorGenerator/mul_37 (150/150 flops)\n",
            "  MultipleGridAnchorGenerator/sub_3 (108/108 flops)\n",
            "  MultipleGridAnchorGenerator/mul_44 (108/108 flops)\n",
            "  MultipleGridAnchorGenerator/mul_43 (108/108 flops)\n",
            "  MultipleGridAnchorGenerator/mul_45 (54/54 flops)\n",
            "  MultipleGridAnchorGenerator/mul_51 (48/48 flops)\n",
            "  MultipleGridAnchorGenerator/sub_4 (48/48 flops)\n",
            "  MultipleGridAnchorGenerator/mul_52 (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/mul_59 (12/12 flops)\n",
            "  MultipleGridAnchorGenerator/mul_60 (12/12 flops)\n",
            "  MultipleGridAnchorGenerator/sub_5 (12/12 flops)\n",
            "  MultipleGridAnchorGenerator/mul_25 (10/10 flops)\n",
            "  MultipleGridAnchorGenerator/mul_26 (10/10 flops)\n",
            "  MultipleGridAnchorGenerator/mul_38 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_54 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_55 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_48 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_47 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_46 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_56 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_61 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_40 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_39 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_19 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_18 (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_22 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_23 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_24 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_30 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_31 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_32 (6/6 flops)\n",
            "  MultipleGridAnchorGenerator/mul_33 (5/5 flops)\n",
            "  MultipleGridAnchorGenerator/mul_34 (5/5 flops)\n",
            "  MultipleGridAnchorGenerator/mul_42 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_41 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_14 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_15 (3/3 flops)\n",
            "  MultipleGridAnchorGenerator/mul_16 (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/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/sub_18 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_7 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_5 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_8 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_9 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_18 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_10 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_11 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_12 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_13 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_14 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_15 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_16 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_17 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_6 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_19 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_2 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_20 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_21 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_3 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_4 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_5 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_17 (1/1 flops)\n",
            "  Preprocessor/map/while/Less_1 (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_2 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_19 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_3 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_6 (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",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_1 (1/1 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/PadOrClipBoxList/Greater_8 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_7 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_58 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_4 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/Minimum (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",
            "  MultipleGridAnchorGenerator/truediv_10 (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/truediv_5 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_57 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_5 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/mul_4 (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",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_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",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_9 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_8 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_7 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_6 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_5 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_4 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_3 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_2 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_11 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_10 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_1 (1/1 flops)\n",
            "  Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum (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",
            "  MultipleGridAnchorGenerator/truediv_7 (1/1 flops)\n",
            "  MultipleGridAnchorGenerator/truediv_6 (1/1 flops)\n",
            "\n",
            "======================End of Report==========================\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/models/research/object_detection/exporter.py:432: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
            "\n",
            "W0422 06:10:37.908058 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/models/research/object_detection/exporter.py:342: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "W0422 06:10:38.897889 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/models/research/object_detection/exporter.py:342: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "2020-04-22 06:10:38.899150: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2020-04-22 06:10:38.911397: 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",
            "2020-04-22 06:10:38.911955: 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",
            "2020-04-22 06:10:38.912235: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:10:38.913326: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:10:38.914356: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:10:38.914672: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:10:38.915931: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:10:38.916878: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:10:38.920841: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:10:38.920953: 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",
            "2020-04-22 06:10:38.921536: 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",
            "2020-04-22 06:10:38.922037: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:10:38.922357: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\n",
            "2020-04-22 06:10:38.940721: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz\n",
            "2020-04-22 06:10:38.940940: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x152cd80 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-04-22 06:10:38.940969: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-04-22 06:10:39.031328: 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",
            "2020-04-22 06:10:39.032004: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x152cbc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2020-04-22 06:10:39.032035: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2020-04-22 06:10:39.032216: 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",
            "2020-04-22 06:10:39.032855: 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",
            "2020-04-22 06:10:39.032937: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:10:39.032967: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:10:39.032989: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:10:39.033014: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:10:39.033038: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:10:39.033059: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:10:39.033080: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:10:39.033158: 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",
            "2020-04-22 06:10:39.033747: 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",
            "2020-04-22 06:10:39.034247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:10:39.034310: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:10:39.035460: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 06:10:39.035488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 06:10:39.035506: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 06:10:39.035611: 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",
            "2020-04-22 06:10:39.036184: 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",
            "2020-04-22 06:10:39.036678: 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",
            "2020-04-22 06:10:39.036715: 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-19272\n",
            "I0422 06:10:39.039688 140686791862144 saver.py:1284] Restoring parameters from training/model.ckpt-19272\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",
            "W0422 06:10:41.189514 140686791862144 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",
            "2020-04-22 06:10:41.939171: 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",
            "2020-04-22 06:10:41.939734: 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",
            "2020-04-22 06:10:41.939837: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:10:41.939868: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:10:41.939890: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:10:41.939912: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:10:41.939950: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:10:41.939981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:10:41.940000: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:10:41.940081: 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",
            "2020-04-22 06:10:41.940620: 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",
            "2020-04-22 06:10:41.941105: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:10:41.941146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 06:10:41.941161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 06:10:41.941169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 06:10:41.941262: 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",
            "2020-04-22 06:10:41.941805: 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",
            "2020-04-22 06:10:41.942294: 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-19272\n",
            "I0422 06:10:41.944010 140686791862144 saver.py:1284] Restoring parameters from training/model.ckpt-19272\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",
            "W0422 06:10:42.827591 140686791862144 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",
            "W0422 06:10:42.827926 140686791862144 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",
            "I0422 06:10:43.279524 140686791862144 graph_util_impl.py:334] Froze 410 variables.\n",
            "INFO:tensorflow:Converted 410 variables to const ops.\n",
            "I0422 06:10:43.407006 140686791862144 graph_util_impl.py:394] Converted 410 variables to const ops.\n",
            "2020-04-22 06:10:43.761969: 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",
            "2020-04-22 06:10:43.762540: 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",
            "2020-04-22 06:10:43.762626: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0\n",
            "2020-04-22 06:10:43.762649: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0\n",
            "2020-04-22 06:10:43.762667: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0\n",
            "2020-04-22 06:10:43.762686: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0\n",
            "2020-04-22 06:10:43.762705: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0\n",
            "2020-04-22 06:10:43.762723: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0\n",
            "2020-04-22 06:10:43.762743: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2020-04-22 06:10:43.762848: 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",
            "2020-04-22 06:10:43.763409: 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",
            "2020-04-22 06:10:43.763900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0\n",
            "2020-04-22 06:10:43.763941: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2020-04-22 06:10:43.763960: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0 \n",
            "2020-04-22 06:10:43.763969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N \n",
            "2020-04-22 06:10:43.764057: 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",
            "2020-04-22 06:10:43.764587: 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",
            "2020-04-22 06:10:43.765167: 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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.263687 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.266220 140686791862144 deprecation.py:323] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.266662 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.266871 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.267098 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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 /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.267241 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "I0422 06:10:44.267498 140686791862144 builder_impl.py:640] No assets to save.\n",
            "INFO:tensorflow:No assets to write.\n",
            "I0422 06:10:44.267593 140686791862144 builder_impl.py:460] No assets to write.\n",
            "INFO:tensorflow:SavedModel written to: ./fine_tuned_model/saved_model/saved_model.pb\n",
            "I0422 06:10:44.810261 140686791862144 builder_impl.py:425] SavedModel written to: ./fine_tuned_model/saved_model/saved_model.pb\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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",
            "W0422 06:10:44.857624 140686791862144 module_wrapper.py:139] From /gdrive/My Drive/object_detection/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",
            "I0422 06:10:44.857930 140686791862144 config_util.py:190] Writing pipeline config file to ./fine_tuned_model/pipeline.config\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xOGSKs8ALw-q",
        "colab_type": "text"
      },
      "source": [
        "[Guide to convert video to images and images to video](https://medium.com/@iKhushPatel/convert-video-to-images-images-to-video-using-opencv-python-db27a128a481)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z3i4R_puY1m1",
        "colab_type": "code",
        "outputId": "f5a81432-e8d2-40ad-db4c-9093a54e8a65",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd /gdrive/'My Drive'/object_detection/models/research"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/gdrive/My Drive/object_detection/models/research\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XEAzdEnQifl7",
        "colab_type": "code",
        "outputId": "020f83a3-6071-40d0-e6e9-a94bd79e5dc6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "!apt-get install ffmpeg"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "ffmpeg is already the newest version (7:3.4.6-0ubuntu0.18.04.1).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 25 not upgraded.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Duc0gwXjH7N9",
        "colab_type": "code",
        "outputId": "1b8c9d64-a0cc-47f8-def2-e684d284ba80",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 156
        }
      },
      "source": [
        "import cv2\n",
        "from object_detection.utils import label_map_util\n",
        "from object_detection.utils import visualization_utils as vis_util\n",
        "\n",
        "# path to the frozen graph:\n",
        "PATH_TO_FROZEN_GRAPH = '/gdrive/My Drive/object_detection/models/research/fine_tuned_model/frozen_inference_graph.pb'\n",
        "\n",
        "# path to the label map\n",
        "PATH_TO_LABEL_MAP = '/gdrive/My Drive/object_detection/data/label_map.pbtxt'\n",
        "\n",
        "# number of classes \n",
        "NUM_CLASSES = 11\n",
        "\n",
        "#reads the frozen graph\n",
        "detection_graph = tf.Graph()\n",
        "with detection_graph.as_default():\n",
        "    od_graph_def = tf.GraphDef()\n",
        "    with tf.gfile.GFile(PATH_TO_FROZEN_GRAPH, 'rb') as fid:\n",
        "        serialized_graph = fid.read()\n",
        "        od_graph_def.ParseFromString(serialized_graph)\n",
        "        tf.import_graph_def(od_graph_def, name='')\n",
        "\n",
        "label_map = label_map_util.load_labelmap(PATH_TO_LABEL_MAP)\n",
        "categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)\n",
        "category_index = label_map_util.create_category_index(categories)\n",
        "\n",
        "#Extract frames from video\n",
        "PATH_TO_VIDEO = 'object_detection/test_images/film.mp4'\n",
        "PATH_TO_OUTPUT_VIDEO = 'object_detection/output_images/film(detected).mp4'\n",
        "with detection_graph.as_default():\n",
        "    with tf.Session(graph=detection_graph) as sess:\n",
        "        cap = cv2.VideoCapture(PATH_TO_VIDEO)\n",
        "        out = cv2.VideoWriter(PATH_TO_OUTPUT_VIDEO,cv2.VideoWriter_fourcc(*\"MP4V\"), cap.get(cv2.CAP_PROP_FPS), (1280,720))\n",
        "        while(cap.isOpened()):\n",
        "            ret, image_np = cap.read()\n",
        "            if ret == False:\n",
        "                break\n",
        "            # Expand dimensions since the model expects images to have shape: [1, None, None, 3]\n",
        "            image_np_expanded = np.expand_dims(image_np, axis=0)\n",
        "            # Extract image tensor\n",
        "            image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')\n",
        "            # Extract detection boxes\n",
        "            boxes = detection_graph.get_tensor_by_name('detection_boxes:0')\n",
        "            # Extract detection scores\n",
        "            scores = detection_graph.get_tensor_by_name('detection_scores:0')\n",
        "            # Extract detection classes\n",
        "            classes = detection_graph.get_tensor_by_name('detection_classes:0')\n",
        "            # Extract number of detections\n",
        "            num_detections = detection_graph.get_tensor_by_name(\n",
        "                'num_detections:0')\n",
        "            # Actual detection.\n",
        "            (boxes, scores, classes, num_detections) = sess.run(\n",
        "                [boxes, scores, classes, num_detections],\n",
        "                feed_dict={image_tensor: image_np_expanded})\n",
        "            # Visualization of the results of a detection.\n",
        "            vis_util.visualize_boxes_and_labels_on_image_array(\n",
        "                image_np,\n",
        "                np.squeeze(boxes),\n",
        "                np.squeeze(classes).astype(np.int32),\n",
        "                np.squeeze(scores),\n",
        "                category_index,\n",
        "                use_normalized_coordinates=True,\n",
        "                line_thickness=3,\n",
        "                )\n",
        "        # Display output\n",
        "            out.write(image_np)\n",
        "        cap.release()\n",
        "        out.release()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Imageio: 'ffmpeg-linux64-v3.3.1' was not found on your computer; downloading it now.\n",
            "Try 1. Download from https://github.com/imageio/imageio-binaries/raw/master/ffmpeg/ffmpeg-linux64-v3.3.1 (43.8 MB)\n",
            "Downloading: 8192/45929032 bytes (0.0%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b3719168/45929032 bytes (8.1%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b7528448/45929032 bytes (16.4%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b11542528/45929032 bytes (25.1%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b15441920/45929032 bytes (33.6%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b19611648/45929032 bytes (42.7%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b23756800/45929032 bytes (51.7%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b27615232/45929032 bytes (60.1%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b31522816/45929032 bytes (68.6%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b35553280/45929032 bytes (77.4%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b39411712/45929032 bytes (85.8%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b43466752/45929032 bytes (94.6%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b45929032/45929032 bytes (100.0%)\n",
            "  Done\n",
            "File saved as /root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1.\n",
            "WARNING:tensorflow:From /gdrive/My Drive/object_detection/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"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "de337H3B6-WQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}