Landslide_detection_using_Mask_RCNN.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Landslide_detection_using_Mask_RCNN.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPRHCRSATOFEFhsOBzumnuf",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/scumechanics/Landslide_detection_using_Mask_RCNN_new/blob/main/Landslide_detection_using_Mask_RCNN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B18RY0a2hKH8",
        "outputId": "0d5a44c5-ff85-4242-d455-b17d791f19dd"
      },
      "source": [
        "!git clone https://github.com/tanishakumbhakar/Landslide_detection_using_Mask_RCNN.git"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Landslide_detection_using_Mask_RCNN'...\n",
            "remote: Enumerating objects: 203, done.\u001b[K\n",
            "remote: Counting objects: 100% (203/203), done.\u001b[K\n",
            "remote: Compressing objects: 100% (200/200), done.\u001b[K\n",
            "remote: Total 203 (delta 5), reused 196 (delta 2), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (203/203), 42.88 MiB | 29.21 MiB/s, done.\n",
            "Resolving deltas: 100% (5/5), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QYahoVWghluq",
        "outputId": "3961ca14-a751-443b-a317-dc224feee672"
      },
      "source": [
        "%cd /content/Landslide_detection_using_Mask_RCNN\n",
        "!ls"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Landslide_detection_using_Mask_RCNN\n",
            " calculate_iou.ipynb   inspect_custom_data.ipynb      README.md\n",
            " custom.py\t       inspect_custom_model.ipynb     requirements.txt\n",
            " datasets\t       inspect_custom_weights.ipynb\n",
            "'image aug.ipynb'      mrcnn\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8inyR8gmhrRL",
        "outputId": "90f3aead-f2c9-4a72-cc06-6ce2de7ad4cf"
      },
      "source": [
        "!pip install -r requirements.txt"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 1)) (1.19.5)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 2)) (1.4.1)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 3)) (7.1.2)\n",
            "Requirement already satisfied: cython in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 4)) (0.29.24)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 5)) (3.2.2)\n",
            "Requirement already satisfied: scikit-image in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 6)) (0.16.2)\n",
            "Requirement already satisfied: tensorflow>=1.3.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 7)) (2.6.0)\n",
            "Requirement already satisfied: keras>=2.0.8 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 8)) (2.6.0)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 9)) (4.1.2.30)\n",
            "Requirement already satisfied: h5py in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 10)) (3.1.0)\n",
            "Requirement already satisfied: imgaug in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 11)) (0.2.9)\n",
            "Requirement already satisfied: IPython[all] in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 12)) (5.5.0)\n",
            "Requirement already satisfied: wheel~=0.35 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.37.0)\n",
            "Requirement already satisfied: six~=1.15.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.15.0)\n",
            "Requirement already satisfied: grpcio<2.0,>=1.37.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.39.0)\n",
            "Requirement already satisfied: google-pasta~=0.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.2.0)\n",
            "Requirement already satisfied: absl-py~=0.10 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.12.0)\n",
            "Requirement already satisfied: clang~=5.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (5.0)\n",
            "Requirement already satisfied: termcolor~=1.1.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.1.0)\n",
            "Requirement already satisfied: gast==0.4.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.4.0)\n",
            "Requirement already satisfied: typing-extensions~=3.7.4 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.7.4.3)\n",
            "Requirement already satisfied: flatbuffers~=1.12.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.12)\n",
            "Requirement already satisfied: tensorboard~=2.6 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (2.6.0)\n",
            "Requirement already satisfied: protobuf>=3.9.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.17.3)\n",
            "Requirement already satisfied: astunparse~=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.6.3)\n",
            "Requirement already satisfied: opt-einsum~=3.3.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.3.0)\n",
            "Requirement already satisfied: tensorflow-estimator~=2.6 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (2.6.0)\n",
            "Requirement already satisfied: keras-preprocessing~=1.1.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.1.2)\n",
            "Requirement already satisfied: wrapt~=1.12.1 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.12.1)\n",
            "Requirement already satisfied: cached-property in /usr/local/lib/python3.7/dist-packages (from h5py->-r requirements.txt (line 10)) (1.5.2)\n",
            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.0.1)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.3.4)\n",
            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.8.0)\n",
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (57.4.0)\n",
            "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (2.23.0)\n",
            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.6.1)\n",
            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.34.0)\n",
            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.4.5)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.2.8)\n",
            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (4.2.2)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (4.7.2)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.3.0)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (4.6.3)\n",
            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (0.4.8)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (2021.5.30)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.0.4)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.1.1)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->-r requirements.txt (line 5)) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->-r requirements.txt (line 5)) (1.3.1)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->-r requirements.txt (line 5)) (2.8.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->-r requirements.txt (line 5)) (0.10.0)\n",
            "Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->-r requirements.txt (line 6)) (1.1.1)\n",
            "Requirement already satisfied: imageio>=2.3.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->-r requirements.txt (line 6)) (2.4.1)\n",
            "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->-r requirements.txt (line 6)) (2.6.2)\n",
            "Requirement already satisfied: Shapely in /usr/local/lib/python3.7/dist-packages (from imgaug->-r requirements.txt (line 11)) (1.7.1)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard~=2.6->tensorflow>=1.3.0->-r requirements.txt (line 7)) (3.5.0)\n",
            "Requirement already satisfied: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (1.0.18)\n",
            "Requirement already satisfied: pexpect in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (4.8.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (4.4.2)\n",
            "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (5.0.5)\n",
            "Requirement already satisfied: simplegeneric>0.8 in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (0.8.1)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (0.7.5)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (2.6.1)\n",
            "Requirement already satisfied: qtconsole in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (5.1.1)\n",
            "Requirement already satisfied: ipykernel in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (4.10.1)\n",
            "Collecting ipyparallel\n",
            "  Downloading ipyparallel-6.3.0-py3-none-any.whl (199 kB)\n",
            "\u001b[K     |████████████████████████████████| 199 kB 7.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: nbconvert in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (5.6.1)\n",
            "Requirement already satisfied: ipywidgets in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (7.6.3)\n",
            "Requirement already satisfied: testpath in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (0.5.0)\n",
            "Requirement already satisfied: Sphinx>=1.3 in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (1.8.5)\n",
            "Requirement already satisfied: nbformat in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (5.1.3)\n",
            "Requirement already satisfied: notebook in /usr/local/lib/python3.7/dist-packages (from IPython[all]->-r requirements.txt (line 12)) (5.3.1)\n",
            "Collecting nose>=0.10.1\n",
            "  Downloading nose-1.3.7-py3-none-any.whl (154 kB)\n",
            "\u001b[K     |████████████████████████████████| 154 kB 27.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->IPython[all]->-r requirements.txt (line 12)) (0.2.5)\n",
            "Requirement already satisfied: Jinja2>=2.3 in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (2.11.3)\n",
            "Requirement already satisfied: alabaster<0.8,>=0.7 in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (0.7.12)\n",
            "Requirement already satisfied: docutils>=0.11 in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (0.17.1)\n",
            "Requirement already satisfied: imagesize in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (1.2.0)\n",
            "Requirement already satisfied: snowballstemmer>=1.1 in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (2.1.0)\n",
            "Requirement already satisfied: babel!=2.0,>=1.3 in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (2.9.1)\n",
            "Requirement already satisfied: sphinxcontrib-websupport in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (1.2.4)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (21.0)\n",
            "Requirement already satisfied: pytz>=2015.7 in /usr/local/lib/python3.7/dist-packages (from babel!=2.0,>=1.3->Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (2018.9)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2>=2.3->Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (2.0.1)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.7/dist-packages (from traitlets>=4.2->IPython[all]->-r requirements.txt (line 12)) (0.2.0)\n",
            "Requirement already satisfied: tornado>=4.0 in /usr/local/lib/python3.7/dist-packages (from ipykernel->IPython[all]->-r requirements.txt (line 12)) (5.1.1)\n",
            "Requirement already satisfied: jupyter-client in /usr/local/lib/python3.7/dist-packages (from ipykernel->IPython[all]->-r requirements.txt (line 12)) (5.3.5)\n",
            "Requirement already satisfied: pyzmq>=13 in /usr/local/lib/python3.7/dist-packages (from ipyparallel->IPython[all]->-r requirements.txt (line 12)) (22.2.1)\n",
            "Requirement already satisfied: widgetsnbextension~=3.5.0 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->IPython[all]->-r requirements.txt (line 12)) (3.5.1)\n",
            "Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->IPython[all]->-r requirements.txt (line 12)) (1.0.0)\n",
            "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /usr/local/lib/python3.7/dist-packages (from nbformat->IPython[all]->-r requirements.txt (line 12)) (2.6.0)\n",
            "Requirement already satisfied: jupyter-core in /usr/local/lib/python3.7/dist-packages (from nbformat->IPython[all]->-r requirements.txt (line 12)) (4.7.1)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.7/dist-packages (from notebook->IPython[all]->-r requirements.txt (line 12)) (1.8.0)\n",
            "Requirement already satisfied: terminado>=0.8.1 in /usr/local/lib/python3.7/dist-packages (from notebook->IPython[all]->-r requirements.txt (line 12)) (0.11.0)\n",
            "Requirement already satisfied: ptyprocess in /usr/local/lib/python3.7/dist-packages (from terminado>=0.8.1->notebook->IPython[all]->-r requirements.txt (line 12)) (0.7.0)\n",
            "Requirement already satisfied: entrypoints>=0.2.2 in /usr/local/lib/python3.7/dist-packages (from nbconvert->IPython[all]->-r requirements.txt (line 12)) (0.3)\n",
            "Requirement already satisfied: defusedxml in /usr/local/lib/python3.7/dist-packages (from nbconvert->IPython[all]->-r requirements.txt (line 12)) (0.7.1)\n",
            "Requirement already satisfied: bleach in /usr/local/lib/python3.7/dist-packages (from nbconvert->IPython[all]->-r requirements.txt (line 12)) (4.0.0)\n",
            "Requirement already satisfied: mistune<2,>=0.8.1 in /usr/local/lib/python3.7/dist-packages (from nbconvert->IPython[all]->-r requirements.txt (line 12)) (0.8.4)\n",
            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.7/dist-packages (from nbconvert->IPython[all]->-r requirements.txt (line 12)) (1.4.3)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.7/dist-packages (from bleach->nbconvert->IPython[all]->-r requirements.txt (line 12)) (0.5.1)\n",
            "Requirement already satisfied: qtpy in /usr/local/lib/python3.7/dist-packages (from qtconsole->IPython[all]->-r requirements.txt (line 12)) (1.9.0)\n",
            "Requirement already satisfied: sphinxcontrib-serializinghtml in /usr/local/lib/python3.7/dist-packages (from sphinxcontrib-websupport->Sphinx>=1.3->IPython[all]->-r requirements.txt (line 12)) (1.1.5)\n",
            "Installing collected packages: nose, ipyparallel\n",
            "Successfully installed ipyparallel-6.3.0 nose-1.3.7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GMp4ebBhhybw",
        "outputId": "71476ceb-5189-4602-f306-9cabfada5e1c"
      },
      "source": [
        "!pip install tensorflow-gpu\n",
        "!pip install 'h5py<3.0.0'\n",
        "!pip install keras==2.1.5"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorflow-gpu\n",
            "  Downloading tensorflow_gpu-2.6.0-cp37-cp37m-manylinux2010_x86_64.whl (458.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 458.3 MB 11 kB/s \n",
            "\u001b[?25hRequirement already satisfied: termcolor~=1.1.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.1.0)\n",
            "Requirement already satisfied: grpcio<2.0,>=1.37.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.39.0)\n",
            "Requirement already satisfied: numpy~=1.19.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.19.5)\n",
            "Requirement already satisfied: tensorflow-estimator~=2.6 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (2.6.0)\n",
            "Requirement already satisfied: flatbuffers~=1.12.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.12)\n",
            "Requirement already satisfied: wheel~=0.35 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.37.0)\n",
            "Requirement already satisfied: absl-py~=0.10 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.12.0)\n",
            "Requirement already satisfied: google-pasta~=0.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.2.0)\n",
            "Requirement already satisfied: protobuf>=3.9.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.17.3)\n",
            "Requirement already satisfied: keras-preprocessing~=1.1.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.1.2)\n",
            "Requirement already satisfied: opt-einsum~=3.3.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.3.0)\n",
            "Requirement already satisfied: astunparse~=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.6.3)\n",
            "Requirement already satisfied: wrapt~=1.12.1 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.12.1)\n",
            "Requirement already satisfied: six~=1.15.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.15.0)\n",
            "Requirement already satisfied: gast==0.4.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.4.0)\n",
            "Requirement already satisfied: tensorboard~=2.6 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (2.6.0)\n",
            "Requirement already satisfied: h5py~=3.1.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.1.0)\n",
            "Requirement already satisfied: clang~=5.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (5.0)\n",
            "Requirement already satisfied: keras~=2.6 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (2.6.0)\n",
            "Requirement already satisfied: typing-extensions~=3.7.4 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.7.4.3)\n",
            "Requirement already satisfied: cached-property in /usr/local/lib/python3.7/dist-packages (from h5py~=3.1.0->tensorflow-gpu) (1.5.2)\n",
            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (1.0.1)\n",
            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (1.34.0)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (3.3.4)\n",
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (57.4.0)\n",
            "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (2.23.0)\n",
            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (1.8.0)\n",
            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (0.6.1)\n",
            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.6->tensorflow-gpu) (0.4.5)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow-gpu) (4.7.2)\n",
            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow-gpu) (4.2.2)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow-gpu) (0.2.8)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.6->tensorflow-gpu) (1.3.0)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard~=2.6->tensorflow-gpu) (4.6.3)\n",
            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard~=2.6->tensorflow-gpu) (0.4.8)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow-gpu) (2021.5.30)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow-gpu) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow-gpu) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.6->tensorflow-gpu) (2.10)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.6->tensorflow-gpu) (3.1.1)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard~=2.6->tensorflow-gpu) (3.5.0)\n",
            "Installing collected packages: tensorflow-gpu\n",
            "Successfully installed tensorflow-gpu-2.6.0\n",
            "Collecting h5py<3.0.0\n",
            "  Downloading h5py-2.10.0-cp37-cp37m-manylinux1_x86_64.whl (2.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.9 MB 8.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.7 in /usr/local/lib/python3.7/dist-packages (from h5py<3.0.0) (1.19.5)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from h5py<3.0.0) (1.15.0)\n",
            "Installing collected packages: h5py\n",
            "  Attempting uninstall: h5py\n",
            "    Found existing installation: h5py 3.1.0\n",
            "    Uninstalling h5py-3.1.0:\n",
            "      Successfully uninstalled h5py-3.1.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.6.0 requires h5py~=3.1.0, but you have h5py 2.10.0 which is incompatible.\n",
            "tensorflow-gpu 2.6.0 requires h5py~=3.1.0, but you have h5py 2.10.0 which is incompatible.\u001b[0m\n",
            "Successfully installed h5py-2.10.0\n",
            "Collecting keras==2.1.5\n",
            "  Downloading Keras-2.1.5-py2.py3-none-any.whl (334 kB)\n",
            "\u001b[K     |████████████████████████████████| 334 kB 9.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from keras==2.1.5) (3.13)\n",
            "Requirement already satisfied: scipy>=0.14 in /usr/local/lib/python3.7/dist-packages (from keras==2.1.5) (1.4.1)\n",
            "Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.7/dist-packages (from keras==2.1.5) (1.15.0)\n",
            "Requirement already satisfied: numpy>=1.9.1 in /usr/local/lib/python3.7/dist-packages (from keras==2.1.5) (1.19.5)\n",
            "Installing collected packages: keras\n",
            "  Attempting uninstall: keras\n",
            "    Found existing installation: keras 2.6.0\n",
            "    Uninstalling keras-2.6.0:\n",
            "      Successfully uninstalled keras-2.6.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.6.0 requires h5py~=3.1.0, but you have h5py 2.10.0 which is incompatible.\n",
            "tensorflow 2.6.0 requires keras~=2.6, but you have keras 2.1.5 which is incompatible.\n",
            "tensorflow-gpu 2.6.0 requires h5py~=3.1.0, but you have h5py 2.10.0 which is incompatible.\n",
            "tensorflow-gpu 2.6.0 requires keras~=2.6, but you have keras 2.1.5 which is incompatible.\u001b[0m\n",
            "Successfully installed keras-2.1.5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9TYuLgGch7-h",
        "outputId": "b511d3fb-01d4-4305-a338-f8ae4b754420"
      },
      "source": [
        "%tensorflow_version 1.x\n",
        "import tensorflow as tf\n",
        "print(tf.__version__)\n",
        "device_name = tf.test.gpu_device_name()\n",
        "if device_name != '/device:GPU:0':\n",
        "  raise SystemError('GPU device not found')\n",
        "print('Found GPU at: {}'.format(device_name))"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TensorFlow 1.x selected.\n",
            "1.15.2\n",
            "Found GPU at: /device:GPU:0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0w0PBTVbh8u-",
        "outputId": "745c94fd-d618-4366-b70b-fe1d93fd1188"
      },
      "source": [
        "!nvidia-smi"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Wed Aug 18 09:29:06 2021       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 470.57.02    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   38C    P0    33W / 250W |    257MiB / 16280MiB |      0%      Default |\n",
            "|                               |                      |                  N/A |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5IVzR_Csh-PS",
        "outputId": "eff7a919-10f8-466e-926d-14094d7c9348"
      },
      "source": [
        "import keras\n",
        "print(keras.__version__)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.3.1\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_cdYpvGMiMoD",
        "outputId": "2bbc631f-f914-417e-d0e3-a74a7e2020f2"
      },
      "source": [
        "!pip install imgaug"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: imgaug in /usr/local/lib/python3.7/dist-packages (0.2.9)\n",
            "Requirement already satisfied: scikit-image>=0.11.0 in /usr/local/lib/python3.7/dist-packages (from imgaug) (0.16.2)\n",
            "Requirement already satisfied: numpy>=1.15.0 in /usr/local/lib/python3.7/dist-packages (from imgaug) (1.19.5)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (from imgaug) (4.1.2.30)\n",
            "Requirement already satisfied: imageio in /usr/local/lib/python3.7/dist-packages (from imgaug) (2.4.1)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.7/dist-packages (from imgaug) (7.1.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from imgaug) (1.15.0)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from imgaug) (1.4.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from imgaug) (3.2.2)\n",
            "Requirement already satisfied: Shapely in /usr/local/lib/python3.7/dist-packages (from imgaug) (1.7.1)\n",
            "Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image>=0.11.0->imgaug) (1.1.1)\n",
            "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image>=0.11.0->imgaug) (2.6.2)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->imgaug) (2.8.2)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->imgaug) (1.3.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->imgaug) (0.10.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->imgaug) (2.4.7)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a6xgjsGtiSD9"
      },
      "source": [
        "!rm -rf datasets"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e1AMdc88iXLQ",
        "outputId": "0105fcca-a73f-4d7d-81c5-c05085ebe057"
      },
      "source": [
        "!git clone https://github.com/amritamohan61/Landslide-data-and-code_Mask-R-CNN.git"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Landslide-data-and-code_Mask-R-CNN'...\n",
            "remote: Enumerating objects: 300, done.\u001b[K\n",
            "remote: Counting objects: 100% (300/300), done.\u001b[K\n",
            "remote: Compressing objects: 100% (278/278), done.\u001b[K\n",
            "remote: Total 300 (delta 39), reused 262 (delta 19), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (300/300), 53.59 MiB | 30.02 MiB/s, done.\n",
            "Resolving deltas: 100% (39/39), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T3sILQlUixde"
      },
      "source": [
        "!mv /content/Landslide_detection_using_Mask_RCNN/Landslide-data-and-code_Mask-R-CNN/datasets /content/Landslide_detection_using_Mask_RCNN"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eCLGIA41i6Wn"
      },
      "source": [
        "!rm -rf Landslide-data-and-code_Mask-R-CNN"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8kAhmNOJjiV7",
        "outputId": "05ea80e1-af81-4a15-b7b6-3951bb5c8657"
      },
      "source": [
        "%cd /content"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_Q70rA-PmWg3",
        "outputId": "f83d25cd-f8dc-460c-fe6f-ec9110940357"
      },
      "source": [
        "%cd /content/Landslide_detection_using_Mask_RCNN"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Landslide_detection_using_Mask_RCNN\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ABBZ0Bzcjqkh"
      },
      "source": [
        "!rm -rf mrcnn"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gkhkl7Zcjx6v",
        "outputId": "52b6e94d-7708-4818-abfd-a420d0314fb1"
      },
      "source": [
        "%cd /content"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "acwdxlWNj0Yw",
        "outputId": "d096ee39-0dc2-430c-b32d-2c67f9fe955a"
      },
      "source": [
        "!git clone https://github.com/Cpruce/Mask_RCNN.git"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Mask_RCNN'...\n",
            "remote: Enumerating objects: 1039, done.\u001b[K\n",
            "remote: Total 1039 (delta 0), reused 0 (delta 0), pack-reused 1039\u001b[K\n",
            "Receiving objects: 100% (1039/1039), 125.72 MiB | 5.63 MiB/s, done.\n",
            "Resolving deltas: 100% (617/617), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vMKxtRpzj9li"
      },
      "source": [
        "!mv /content/Mask_RCNN/mrcnn /content/Landslide_detection_using_Mask_RCNN"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tmjcPXlmkHQp"
      },
      "source": [
        "!rm -rf Mask_RCNN"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cyji36GukLWd",
        "outputId": "9bb0831a-0cd6-4a4a-a084-d304ef42fe7a"
      },
      "source": [
        "%cd /content/Landslide_detection_using_Mask_RCNN"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Landslide_detection_using_Mask_RCNN\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VzYcy69Ri_88",
        "outputId": "ba56770e-47c1-4220-db71-7964ce8cab2c"
      },
      "source": [
        "!python custom.py train --dataset='datasets/Set A/' --weights=coco"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n",
            "Weights:  coco\n",
            "Dataset:  datasets/Set A/\n",
            "Logs:  /content/gdrive/My Drive/landslide/logs\n",
            "\n",
            "Configurations:\n",
            "BACKBONE                       resnet101\n",
            "BACKBONE_STRIDES               [4, 8, 16, 32, 64]\n",
            "BATCH_SIZE                     1\n",
            "BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]\n",
            "COMPUTE_BACKBONE_SHAPE         None\n",
            "DETECTION_MAX_INSTANCES        100\n",
            "DETECTION_MIN_CONFIDENCE       0.9\n",
            "DETECTION_NMS_THRESHOLD        0.3\n",
            "FPN_CLASSIF_FC_LAYERS_SIZE     1024\n",
            "GPU_COUNT                      1\n",
            "GRADIENT_CLIP_NORM             5.0\n",
            "IMAGES_PER_GPU                 1\n",
            "IMAGE_CHANNEL_COUNT            3\n",
            "IMAGE_MAX_DIM                  1024\n",
            "IMAGE_META_SIZE                14\n",
            "IMAGE_MIN_DIM                  800\n",
            "IMAGE_MIN_SCALE                0\n",
            "IMAGE_RESIZE_MODE              square\n",
            "IMAGE_SHAPE                    [1024 1024    3]\n",
            "LEARNING_MOMENTUM              0.9\n",
            "LEARNING_RATE                  0.001\n",
            "LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}\n",
            "MASK_POOL_SIZE                 14\n",
            "MASK_SHAPE                     [28, 28]\n",
            "MAX_GT_INSTANCES               100\n",
            "MEAN_PIXEL                     [123.7 116.8 103.9]\n",
            "MINI_MASK_SHAPE                (56, 56)\n",
            "NAME                           landslide\n",
            "NUM_CLASSES                    2\n",
            "POOL_SIZE                      7\n",
            "POST_NMS_ROIS_INFERENCE        1000\n",
            "POST_NMS_ROIS_TRAINING         2000\n",
            "PRE_NMS_LIMIT                  6000\n",
            "ROI_POSITIVE_RATIO             0.33\n",
            "RPN_ANCHOR_RATIOS              [0.5, 1, 2]\n",
            "RPN_ANCHOR_SCALES              (32, 64, 128, 256, 512)\n",
            "RPN_ANCHOR_STRIDE              1\n",
            "RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]\n",
            "RPN_NMS_THRESHOLD              0.7\n",
            "RPN_TRAIN_ANCHORS_PER_IMAGE    256\n",
            "STEPS_PER_EPOCH                500\n",
            "TOP_DOWN_PYRAMID_SIZE          256\n",
            "TRAIN_BN                       False\n",
            "TRAIN_ROIS_PER_IMAGE           200\n",
            "USE_MINI_MASK                  True\n",
            "USE_RPN_ROIS                   True\n",
            "VALIDATION_STEPS               50\n",
            "WEIGHT_DECAY                   0.0001\n",
            "\n",
            "\n",
            "IMAGE_SHPE [1024 1024    3]\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "If using Keras pass *_constraint arguments to layers.\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/backend/tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
            "\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/array_ops.py:1475: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "WARNING:tensorflow:From /content/Landslide_detection_using_Mask_RCNN/mrcnn/model.py:751: The name tf.random_shuffle is deprecated. Please use tf.random.shuffle instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/Landslide_detection_using_Mask_RCNN/mrcnn/utils.py:202: The name tf.log is deprecated. Please use tf.math.log instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/Landslide_detection_using_Mask_RCNN/mrcnn/model.py:798: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "box_ind is deprecated, use box_indices instead\n",
            "Model: \"mask_rcnn\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_image (InputLayer)        (None, 1024, 1024, 3 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "zero_padding2d_1 (ZeroPadding2D (None, 1030, 1030, 3 0           input_image[0][0]                \n",
            "__________________________________________________________________________________________________\n",
            "conv1 (Conv2D)                  (None, 512, 512, 64) 9472        zero_padding2d_1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "bn_conv1 (BatchNorm)            (None, 512, 512, 64) 256         conv1[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "activation_1 (Activation)       (None, 512, 512, 64) 0           bn_conv1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2D)  (None, 256, 256, 64) 0           activation_1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res2a_branch2a (Conv2D)         (None, 256, 256, 64) 4160        max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "bn2a_branch2a (BatchNorm)       (None, 256, 256, 64) 256         res2a_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_2 (Activation)       (None, 256, 256, 64) 0           bn2a_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res2a_branch2b (Conv2D)         (None, 256, 256, 64) 36928       activation_2[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "bn2a_branch2b (BatchNorm)       (None, 256, 256, 64) 256         res2a_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_3 (Activation)       (None, 256, 256, 64) 0           bn2a_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res2a_branch2c (Conv2D)         (None, 256, 256, 256 16640       activation_3[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res2a_branch1 (Conv2D)          (None, 256, 256, 256 16640       max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "bn2a_branch2c (BatchNorm)       (None, 256, 256, 256 1024        res2a_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "bn2a_branch1 (BatchNorm)        (None, 256, 256, 256 1024        res2a_branch1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "add_1 (Add)                     (None, 256, 256, 256 0           bn2a_branch2c[0][0]              \n",
            "                                                                 bn2a_branch1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res2a_out (Activation)          (None, 256, 256, 256 0           add_1[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res2b_branch2a (Conv2D)         (None, 256, 256, 64) 16448       res2a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn2b_branch2a (BatchNorm)       (None, 256, 256, 64) 256         res2b_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_4 (Activation)       (None, 256, 256, 64) 0           bn2b_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res2b_branch2b (Conv2D)         (None, 256, 256, 64) 36928       activation_4[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "bn2b_branch2b (BatchNorm)       (None, 256, 256, 64) 256         res2b_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_5 (Activation)       (None, 256, 256, 64) 0           bn2b_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res2b_branch2c (Conv2D)         (None, 256, 256, 256 16640       activation_5[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "bn2b_branch2c (BatchNorm)       (None, 256, 256, 256 1024        res2b_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_2 (Add)                     (None, 256, 256, 256 0           bn2b_branch2c[0][0]              \n",
            "                                                                 res2a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res2b_out (Activation)          (None, 256, 256, 256 0           add_2[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res2c_branch2a (Conv2D)         (None, 256, 256, 64) 16448       res2b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn2c_branch2a (BatchNorm)       (None, 256, 256, 64) 256         res2c_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_6 (Activation)       (None, 256, 256, 64) 0           bn2c_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res2c_branch2b (Conv2D)         (None, 256, 256, 64) 36928       activation_6[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "bn2c_branch2b (BatchNorm)       (None, 256, 256, 64) 256         res2c_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_7 (Activation)       (None, 256, 256, 64) 0           bn2c_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res2c_branch2c (Conv2D)         (None, 256, 256, 256 16640       activation_7[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "bn2c_branch2c (BatchNorm)       (None, 256, 256, 256 1024        res2c_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_3 (Add)                     (None, 256, 256, 256 0           bn2c_branch2c[0][0]              \n",
            "                                                                 res2b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res2c_out (Activation)          (None, 256, 256, 256 0           add_3[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res3a_branch2a (Conv2D)         (None, 128, 128, 128 32896       res2c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn3a_branch2a (BatchNorm)       (None, 128, 128, 128 512         res3a_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_8 (Activation)       (None, 128, 128, 128 0           bn3a_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3a_branch2b (Conv2D)         (None, 128, 128, 128 147584      activation_8[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "bn3a_branch2b (BatchNorm)       (None, 128, 128, 128 512         res3a_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_9 (Activation)       (None, 128, 128, 128 0           bn3a_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3a_branch2c (Conv2D)         (None, 128, 128, 512 66048       activation_9[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res3a_branch1 (Conv2D)          (None, 128, 128, 512 131584      res2c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn3a_branch2c (BatchNorm)       (None, 128, 128, 512 2048        res3a_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "bn3a_branch1 (BatchNorm)        (None, 128, 128, 512 2048        res3a_branch1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "add_4 (Add)                     (None, 128, 128, 512 0           bn3a_branch2c[0][0]              \n",
            "                                                                 bn3a_branch1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res3a_out (Activation)          (None, 128, 128, 512 0           add_4[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res3b_branch2a (Conv2D)         (None, 128, 128, 128 65664       res3a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn3b_branch2a (BatchNorm)       (None, 128, 128, 128 512         res3b_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_10 (Activation)      (None, 128, 128, 128 0           bn3b_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3b_branch2b (Conv2D)         (None, 128, 128, 128 147584      activation_10[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn3b_branch2b (BatchNorm)       (None, 128, 128, 128 512         res3b_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_11 (Activation)      (None, 128, 128, 128 0           bn3b_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3b_branch2c (Conv2D)         (None, 128, 128, 512 66048       activation_11[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn3b_branch2c (BatchNorm)       (None, 128, 128, 512 2048        res3b_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_5 (Add)                     (None, 128, 128, 512 0           bn3b_branch2c[0][0]              \n",
            "                                                                 res3a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res3b_out (Activation)          (None, 128, 128, 512 0           add_5[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res3c_branch2a (Conv2D)         (None, 128, 128, 128 65664       res3b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn3c_branch2a (BatchNorm)       (None, 128, 128, 128 512         res3c_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_12 (Activation)      (None, 128, 128, 128 0           bn3c_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3c_branch2b (Conv2D)         (None, 128, 128, 128 147584      activation_12[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn3c_branch2b (BatchNorm)       (None, 128, 128, 128 512         res3c_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_13 (Activation)      (None, 128, 128, 128 0           bn3c_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3c_branch2c (Conv2D)         (None, 128, 128, 512 66048       activation_13[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn3c_branch2c (BatchNorm)       (None, 128, 128, 512 2048        res3c_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_6 (Add)                     (None, 128, 128, 512 0           bn3c_branch2c[0][0]              \n",
            "                                                                 res3b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res3c_out (Activation)          (None, 128, 128, 512 0           add_6[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res3d_branch2a (Conv2D)         (None, 128, 128, 128 65664       res3c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn3d_branch2a (BatchNorm)       (None, 128, 128, 128 512         res3d_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_14 (Activation)      (None, 128, 128, 128 0           bn3d_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3d_branch2b (Conv2D)         (None, 128, 128, 128 147584      activation_14[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn3d_branch2b (BatchNorm)       (None, 128, 128, 128 512         res3d_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_15 (Activation)      (None, 128, 128, 128 0           bn3d_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res3d_branch2c (Conv2D)         (None, 128, 128, 512 66048       activation_15[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn3d_branch2c (BatchNorm)       (None, 128, 128, 512 2048        res3d_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_7 (Add)                     (None, 128, 128, 512 0           bn3d_branch2c[0][0]              \n",
            "                                                                 res3c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res3d_out (Activation)          (None, 128, 128, 512 0           add_7[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res4a_branch2a (Conv2D)         (None, 64, 64, 256)  131328      res3d_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4a_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4a_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_16 (Activation)      (None, 64, 64, 256)  0           bn4a_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4a_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_16[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4a_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4a_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_17 (Activation)      (None, 64, 64, 256)  0           bn4a_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4a_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_17[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4a_branch1 (Conv2D)          (None, 64, 64, 1024) 525312      res3d_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4a_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4a_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "bn4a_branch1 (BatchNorm)        (None, 64, 64, 1024) 4096        res4a_branch1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "add_8 (Add)                     (None, 64, 64, 1024) 0           bn4a_branch2c[0][0]              \n",
            "                                                                 bn4a_branch1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res4a_out (Activation)          (None, 64, 64, 1024) 0           add_8[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res4b_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4b_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4b_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_18 (Activation)      (None, 64, 64, 256)  0           bn4b_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4b_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_18[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4b_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4b_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_19 (Activation)      (None, 64, 64, 256)  0           bn4b_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4b_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_19[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4b_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4b_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_9 (Add)                     (None, 64, 64, 1024) 0           bn4b_branch2c[0][0]              \n",
            "                                                                 res4a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4b_out (Activation)          (None, 64, 64, 1024) 0           add_9[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "res4c_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4c_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4c_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_20 (Activation)      (None, 64, 64, 256)  0           bn4c_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4c_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_20[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4c_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4c_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_21 (Activation)      (None, 64, 64, 256)  0           bn4c_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4c_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_21[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4c_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4c_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_10 (Add)                    (None, 64, 64, 1024) 0           bn4c_branch2c[0][0]              \n",
            "                                                                 res4b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4c_out (Activation)          (None, 64, 64, 1024) 0           add_10[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4d_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4d_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4d_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_22 (Activation)      (None, 64, 64, 256)  0           bn4d_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4d_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_22[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4d_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4d_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_23 (Activation)      (None, 64, 64, 256)  0           bn4d_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4d_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_23[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4d_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4d_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_11 (Add)                    (None, 64, 64, 1024) 0           bn4d_branch2c[0][0]              \n",
            "                                                                 res4c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4d_out (Activation)          (None, 64, 64, 1024) 0           add_11[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4e_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4d_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4e_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4e_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_24 (Activation)      (None, 64, 64, 256)  0           bn4e_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4e_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_24[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4e_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4e_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_25 (Activation)      (None, 64, 64, 256)  0           bn4e_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4e_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_25[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4e_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4e_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_12 (Add)                    (None, 64, 64, 1024) 0           bn4e_branch2c[0][0]              \n",
            "                                                                 res4d_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4e_out (Activation)          (None, 64, 64, 1024) 0           add_12[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4f_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4e_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4f_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4f_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_26 (Activation)      (None, 64, 64, 256)  0           bn4f_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4f_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_26[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4f_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4f_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_27 (Activation)      (None, 64, 64, 256)  0           bn4f_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4f_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_27[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4f_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4f_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_13 (Add)                    (None, 64, 64, 1024) 0           bn4f_branch2c[0][0]              \n",
            "                                                                 res4e_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4f_out (Activation)          (None, 64, 64, 1024) 0           add_13[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4g_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4f_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4g_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4g_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_28 (Activation)      (None, 64, 64, 256)  0           bn4g_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4g_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_28[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4g_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4g_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_29 (Activation)      (None, 64, 64, 256)  0           bn4g_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4g_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_29[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4g_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4g_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_14 (Add)                    (None, 64, 64, 1024) 0           bn4g_branch2c[0][0]              \n",
            "                                                                 res4f_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4g_out (Activation)          (None, 64, 64, 1024) 0           add_14[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4h_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4g_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4h_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4h_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_30 (Activation)      (None, 64, 64, 256)  0           bn4h_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4h_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_30[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4h_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4h_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_31 (Activation)      (None, 64, 64, 256)  0           bn4h_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4h_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_31[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4h_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4h_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_15 (Add)                    (None, 64, 64, 1024) 0           bn4h_branch2c[0][0]              \n",
            "                                                                 res4g_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4h_out (Activation)          (None, 64, 64, 1024) 0           add_15[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4i_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4h_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4i_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4i_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_32 (Activation)      (None, 64, 64, 256)  0           bn4i_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4i_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_32[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4i_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4i_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_33 (Activation)      (None, 64, 64, 256)  0           bn4i_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4i_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_33[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4i_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4i_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_16 (Add)                    (None, 64, 64, 1024) 0           bn4i_branch2c[0][0]              \n",
            "                                                                 res4h_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4i_out (Activation)          (None, 64, 64, 1024) 0           add_16[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4j_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4i_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4j_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4j_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_34 (Activation)      (None, 64, 64, 256)  0           bn4j_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4j_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_34[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4j_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4j_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_35 (Activation)      (None, 64, 64, 256)  0           bn4j_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4j_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_35[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4j_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4j_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_17 (Add)                    (None, 64, 64, 1024) 0           bn4j_branch2c[0][0]              \n",
            "                                                                 res4i_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4j_out (Activation)          (None, 64, 64, 1024) 0           add_17[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4k_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4j_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4k_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4k_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_36 (Activation)      (None, 64, 64, 256)  0           bn4k_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4k_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_36[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4k_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4k_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_37 (Activation)      (None, 64, 64, 256)  0           bn4k_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4k_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_37[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4k_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4k_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_18 (Add)                    (None, 64, 64, 1024) 0           bn4k_branch2c[0][0]              \n",
            "                                                                 res4j_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4k_out (Activation)          (None, 64, 64, 1024) 0           add_18[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4l_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4k_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4l_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4l_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_38 (Activation)      (None, 64, 64, 256)  0           bn4l_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4l_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_38[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4l_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4l_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_39 (Activation)      (None, 64, 64, 256)  0           bn4l_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4l_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_39[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4l_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4l_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_19 (Add)                    (None, 64, 64, 1024) 0           bn4l_branch2c[0][0]              \n",
            "                                                                 res4k_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4l_out (Activation)          (None, 64, 64, 1024) 0           add_19[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4m_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4l_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4m_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4m_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_40 (Activation)      (None, 64, 64, 256)  0           bn4m_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4m_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_40[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4m_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4m_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_41 (Activation)      (None, 64, 64, 256)  0           bn4m_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4m_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_41[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4m_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4m_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_20 (Add)                    (None, 64, 64, 1024) 0           bn4m_branch2c[0][0]              \n",
            "                                                                 res4l_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4m_out (Activation)          (None, 64, 64, 1024) 0           add_20[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4n_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4m_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4n_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4n_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_42 (Activation)      (None, 64, 64, 256)  0           bn4n_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4n_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_42[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4n_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4n_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_43 (Activation)      (None, 64, 64, 256)  0           bn4n_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4n_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_43[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4n_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4n_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_21 (Add)                    (None, 64, 64, 1024) 0           bn4n_branch2c[0][0]              \n",
            "                                                                 res4m_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4n_out (Activation)          (None, 64, 64, 1024) 0           add_21[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4o_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4n_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4o_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4o_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_44 (Activation)      (None, 64, 64, 256)  0           bn4o_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4o_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_44[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4o_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4o_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_45 (Activation)      (None, 64, 64, 256)  0           bn4o_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4o_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_45[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4o_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4o_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_22 (Add)                    (None, 64, 64, 1024) 0           bn4o_branch2c[0][0]              \n",
            "                                                                 res4n_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4o_out (Activation)          (None, 64, 64, 1024) 0           add_22[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4p_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4o_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4p_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4p_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_46 (Activation)      (None, 64, 64, 256)  0           bn4p_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4p_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_46[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4p_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4p_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_47 (Activation)      (None, 64, 64, 256)  0           bn4p_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4p_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_47[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4p_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4p_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_23 (Add)                    (None, 64, 64, 1024) 0           bn4p_branch2c[0][0]              \n",
            "                                                                 res4o_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4p_out (Activation)          (None, 64, 64, 1024) 0           add_23[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4q_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4p_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4q_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4q_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_48 (Activation)      (None, 64, 64, 256)  0           bn4q_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4q_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_48[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4q_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4q_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_49 (Activation)      (None, 64, 64, 256)  0           bn4q_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4q_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_49[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4q_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4q_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_24 (Add)                    (None, 64, 64, 1024) 0           bn4q_branch2c[0][0]              \n",
            "                                                                 res4p_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4q_out (Activation)          (None, 64, 64, 1024) 0           add_24[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4r_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4q_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4r_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4r_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_50 (Activation)      (None, 64, 64, 256)  0           bn4r_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4r_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_50[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4r_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4r_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_51 (Activation)      (None, 64, 64, 256)  0           bn4r_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4r_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_51[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4r_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4r_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_25 (Add)                    (None, 64, 64, 1024) 0           bn4r_branch2c[0][0]              \n",
            "                                                                 res4q_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4r_out (Activation)          (None, 64, 64, 1024) 0           add_25[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4s_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4r_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4s_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4s_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_52 (Activation)      (None, 64, 64, 256)  0           bn4s_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4s_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_52[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4s_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4s_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_53 (Activation)      (None, 64, 64, 256)  0           bn4s_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4s_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_53[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4s_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4s_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_26 (Add)                    (None, 64, 64, 1024) 0           bn4s_branch2c[0][0]              \n",
            "                                                                 res4r_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4s_out (Activation)          (None, 64, 64, 1024) 0           add_26[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4t_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4s_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4t_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4t_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_54 (Activation)      (None, 64, 64, 256)  0           bn4t_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4t_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_54[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4t_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4t_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_55 (Activation)      (None, 64, 64, 256)  0           bn4t_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4t_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_55[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4t_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4t_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_27 (Add)                    (None, 64, 64, 1024) 0           bn4t_branch2c[0][0]              \n",
            "                                                                 res4s_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4t_out (Activation)          (None, 64, 64, 1024) 0           add_27[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4u_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4t_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4u_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4u_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_56 (Activation)      (None, 64, 64, 256)  0           bn4u_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4u_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_56[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4u_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4u_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_57 (Activation)      (None, 64, 64, 256)  0           bn4u_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4u_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_57[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4u_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4u_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_28 (Add)                    (None, 64, 64, 1024) 0           bn4u_branch2c[0][0]              \n",
            "                                                                 res4t_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4u_out (Activation)          (None, 64, 64, 1024) 0           add_28[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4v_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4u_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4v_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4v_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_58 (Activation)      (None, 64, 64, 256)  0           bn4v_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4v_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_58[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4v_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4v_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_59 (Activation)      (None, 64, 64, 256)  0           bn4v_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4v_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_59[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4v_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4v_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_29 (Add)                    (None, 64, 64, 1024) 0           bn4v_branch2c[0][0]              \n",
            "                                                                 res4u_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4v_out (Activation)          (None, 64, 64, 1024) 0           add_29[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res4w_branch2a (Conv2D)         (None, 64, 64, 256)  262400      res4v_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn4w_branch2a (BatchNorm)       (None, 64, 64, 256)  1024        res4w_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_60 (Activation)      (None, 64, 64, 256)  0           bn4w_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4w_branch2b (Conv2D)         (None, 64, 64, 256)  590080      activation_60[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4w_branch2b (BatchNorm)       (None, 64, 64, 256)  1024        res4w_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_61 (Activation)      (None, 64, 64, 256)  0           bn4w_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res4w_branch2c (Conv2D)         (None, 64, 64, 1024) 263168      activation_61[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn4w_branch2c (BatchNorm)       (None, 64, 64, 1024) 4096        res4w_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_30 (Add)                    (None, 64, 64, 1024) 0           bn4w_branch2c[0][0]              \n",
            "                                                                 res4v_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res4w_out (Activation)          (None, 64, 64, 1024) 0           add_30[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res5a_branch2a (Conv2D)         (None, 32, 32, 512)  524800      res4w_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn5a_branch2a (BatchNorm)       (None, 32, 32, 512)  2048        res5a_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_62 (Activation)      (None, 32, 32, 512)  0           bn5a_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5a_branch2b (Conv2D)         (None, 32, 32, 512)  2359808     activation_62[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn5a_branch2b (BatchNorm)       (None, 32, 32, 512)  2048        res5a_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_63 (Activation)      (None, 32, 32, 512)  0           bn5a_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5a_branch2c (Conv2D)         (None, 32, 32, 2048) 1050624     activation_63[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5a_branch1 (Conv2D)          (None, 32, 32, 2048) 2099200     res4w_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn5a_branch2c (BatchNorm)       (None, 32, 32, 2048) 8192        res5a_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "bn5a_branch1 (BatchNorm)        (None, 32, 32, 2048) 8192        res5a_branch1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "add_31 (Add)                    (None, 32, 32, 2048) 0           bn5a_branch2c[0][0]              \n",
            "                                                                 bn5a_branch1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "res5a_out (Activation)          (None, 32, 32, 2048) 0           add_31[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res5b_branch2a (Conv2D)         (None, 32, 32, 512)  1049088     res5a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn5b_branch2a (BatchNorm)       (None, 32, 32, 512)  2048        res5b_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_64 (Activation)      (None, 32, 32, 512)  0           bn5b_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5b_branch2b (Conv2D)         (None, 32, 32, 512)  2359808     activation_64[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn5b_branch2b (BatchNorm)       (None, 32, 32, 512)  2048        res5b_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_65 (Activation)      (None, 32, 32, 512)  0           bn5b_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5b_branch2c (Conv2D)         (None, 32, 32, 2048) 1050624     activation_65[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn5b_branch2c (BatchNorm)       (None, 32, 32, 2048) 8192        res5b_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_32 (Add)                    (None, 32, 32, 2048) 0           bn5b_branch2c[0][0]              \n",
            "                                                                 res5a_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res5b_out (Activation)          (None, 32, 32, 2048) 0           add_32[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "res5c_branch2a (Conv2D)         (None, 32, 32, 512)  1049088     res5b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "bn5c_branch2a (BatchNorm)       (None, 32, 32, 512)  2048        res5c_branch2a[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_66 (Activation)      (None, 32, 32, 512)  0           bn5c_branch2a[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5c_branch2b (Conv2D)         (None, 32, 32, 512)  2359808     activation_66[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn5c_branch2b (BatchNorm)       (None, 32, 32, 512)  2048        res5c_branch2b[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "activation_67 (Activation)      (None, 32, 32, 512)  0           bn5c_branch2b[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "res5c_branch2c (Conv2D)         (None, 32, 32, 2048) 1050624     activation_67[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bn5c_branch2c (BatchNorm)       (None, 32, 32, 2048) 8192        res5c_branch2c[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "add_33 (Add)                    (None, 32, 32, 2048) 0           bn5c_branch2c[0][0]              \n",
            "                                                                 res5b_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "res5c_out (Activation)          (None, 32, 32, 2048) 0           add_33[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "fpn_c5p5 (Conv2D)               (None, 32, 32, 256)  524544      res5c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p5upsampled (UpSampling2D)  (None, 64, 64, 256)  0           fpn_c5p5[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "fpn_c4p4 (Conv2D)               (None, 64, 64, 256)  262400      res4w_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p4add (Add)                 (None, 64, 64, 256)  0           fpn_p5upsampled[0][0]            \n",
            "                                                                 fpn_c4p4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p4upsampled (UpSampling2D)  (None, 128, 128, 256 0           fpn_p4add[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_c3p3 (Conv2D)               (None, 128, 128, 256 131328      res3d_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p3add (Add)                 (None, 128, 128, 256 0           fpn_p4upsampled[0][0]            \n",
            "                                                                 fpn_c3p3[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p3upsampled (UpSampling2D)  (None, 256, 256, 256 0           fpn_p3add[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_c2p2 (Conv2D)               (None, 256, 256, 256 65792       res2c_out[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p2add (Add)                 (None, 256, 256, 256 0           fpn_p3upsampled[0][0]            \n",
            "                                                                 fpn_c2p2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p5 (Conv2D)                 (None, 32, 32, 256)  590080      fpn_c5p5[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p2 (Conv2D)                 (None, 256, 256, 256 590080      fpn_p2add[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p3 (Conv2D)                 (None, 128, 128, 256 590080      fpn_p3add[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p4 (Conv2D)                 (None, 64, 64, 256)  590080      fpn_p4add[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "fpn_p6 (MaxPooling2D)           (None, 16, 16, 256)  0           fpn_p5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "rpn_model (Model)               [(None, None, 2), (N 1189394     fpn_p2[0][0]                     \n",
            "                                                                 fpn_p3[0][0]                     \n",
            "                                                                 fpn_p4[0][0]                     \n",
            "                                                                 fpn_p5[0][0]                     \n",
            "                                                                 fpn_p6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "rpn_class (Concatenate)         (None, None, 2)      0           rpn_model[1][1]                  \n",
            "                                                                 rpn_model[2][1]                  \n",
            "                                                                 rpn_model[3][1]                  \n",
            "                                                                 rpn_model[4][1]                  \n",
            "                                                                 rpn_model[5][1]                  \n",
            "__________________________________________________________________________________________________\n",
            "rpn_bbox (Concatenate)          (None, None, 4)      0           rpn_model[1][2]                  \n",
            "                                                                 rpn_model[2][2]                  \n",
            "                                                                 rpn_model[3][2]                  \n",
            "                                                                 rpn_model[4][2]                  \n",
            "                                                                 rpn_model[5][2]                  \n",
            "__________________________________________________________________________________________________\n",
            "anchors (Lambda)                (1, 261888, 4)       0           input_image[0][0]                \n",
            "__________________________________________________________________________________________________\n",
            "input_gt_boxes (InputLayer)     (None, None, 4)      0                                            \n",
            "__________________________________________________________________________________________________\n",
            "ROI (ProposalLayer)             (None, 2000, 4)      0           rpn_class[0][0]                  \n",
            "                                                                 rpn_bbox[0][0]                   \n",
            "                                                                 anchors[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "input_gt_class_ids (InputLayer) (None, None)         0                                            \n",
            "__________________________________________________________________________________________________\n",
            "lambda_1 (Lambda)               (None, None, 4)      0           input_gt_boxes[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "input_gt_masks (InputLayer)     (None, 56, 56, None) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "proposal_targets (DetectionTarg [(None, 200, 4), (No 0           ROI[0][0]                        \n",
            "                                                                 input_gt_class_ids[0][0]         \n",
            "                                                                 lambda_1[0][0]                   \n",
            "                                                                 input_gt_masks[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "input_image_meta (InputLayer)   (None, 14)           0                                            \n",
            "__________________________________________________________________________________________________\n",
            "roi_align_mask (PyramidROIAlign (None, 200, 14, 14,  0           proposal_targets[0][0]           \n",
            "                                                                 input_image_meta[0][0]           \n",
            "                                                                 fpn_p2[0][0]                     \n",
            "                                                                 fpn_p3[0][0]                     \n",
            "                                                                 fpn_p4[0][0]                     \n",
            "                                                                 fpn_p5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_conv1 (TimeDistribut (None, 200, 14, 14,  590080      roi_align_mask[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_bn1 (TimeDistributed (None, 200, 14, 14,  1024        mrcnn_mask_conv1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "activation_71 (Activation)      (None, 200, 14, 14,  0           mrcnn_mask_bn1[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_conv2 (TimeDistribut (None, 200, 14, 14,  590080      activation_71[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "roi_align_classifier (PyramidRO (None, 200, 7, 7, 25 0           proposal_targets[0][0]           \n",
            "                                                                 input_image_meta[0][0]           \n",
            "                                                                 fpn_p2[0][0]                     \n",
            "                                                                 fpn_p3[0][0]                     \n",
            "                                                                 fpn_p4[0][0]                     \n",
            "                                                                 fpn_p5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_bn2 (TimeDistributed (None, 200, 14, 14,  1024        mrcnn_mask_conv2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class_conv1 (TimeDistribu (None, 200, 1, 1, 10 12846080    roi_align_classifier[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "activation_72 (Activation)      (None, 200, 14, 14,  0           mrcnn_mask_bn2[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class_bn1 (TimeDistribute (None, 200, 1, 1, 10 4096        mrcnn_class_conv1[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_conv3 (TimeDistribut (None, 200, 14, 14,  590080      activation_72[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_68 (Activation)      (None, 200, 1, 1, 10 0           mrcnn_class_bn1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_bn3 (TimeDistributed (None, 200, 14, 14,  1024        mrcnn_mask_conv3[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class_conv2 (TimeDistribu (None, 200, 1, 1, 10 1049600     activation_68[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_73 (Activation)      (None, 200, 14, 14,  0           mrcnn_mask_bn3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class_bn2 (TimeDistribute (None, 200, 1, 1, 10 4096        mrcnn_class_conv2[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_conv4 (TimeDistribut (None, 200, 14, 14,  590080      activation_73[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_69 (Activation)      (None, 200, 1, 1, 10 0           mrcnn_class_bn2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_bn4 (TimeDistributed (None, 200, 14, 14,  1024        mrcnn_mask_conv4[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "pool_squeeze (Lambda)           (None, 200, 1024)    0           activation_69[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_74 (Activation)      (None, 200, 14, 14,  0           mrcnn_mask_bn4[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_bbox_fc (TimeDistributed) (None, 200, 8)       8200        pool_squeeze[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_deconv (TimeDistribu (None, 200, 28, 28,  262400      activation_74[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "rpn_class_logits (Concatenate)  (None, None, 2)      0           rpn_model[1][0]                  \n",
            "                                                                 rpn_model[2][0]                  \n",
            "                                                                 rpn_model[3][0]                  \n",
            "                                                                 rpn_model[4][0]                  \n",
            "                                                                 rpn_model[5][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class_logits (TimeDistrib (None, 200, 2)       2050        pool_squeeze[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_bbox (Reshape)            (None, 200, 2, 4)    0           mrcnn_bbox_fc[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask (TimeDistributed)    (None, 200, 28, 28,  514         mrcnn_mask_deconv[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "input_rpn_match (InputLayer)    (None, None, 1)      0                                            \n",
            "__________________________________________________________________________________________________\n",
            "input_rpn_bbox (InputLayer)     (None, None, 4)      0                                            \n",
            "__________________________________________________________________________________________________\n",
            "lambda_4 (Lambda)               (None, 2)            0           input_image_meta[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class (TimeDistributed)   (None, 200, 2)       0           mrcnn_class_logits[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "output_rois (Lambda)            (None, 200, 4)       0           proposal_targets[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "rpn_class_loss (Lambda)         ()                   0           input_rpn_match[0][0]            \n",
            "                                                                 rpn_class_logits[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "rpn_bbox_loss (Lambda)          ()                   0           input_rpn_bbox[0][0]             \n",
            "                                                                 input_rpn_match[0][0]            \n",
            "                                                                 rpn_bbox[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_class_loss (Lambda)       ()                   0           proposal_targets[0][1]           \n",
            "                                                                 mrcnn_class_logits[0][0]         \n",
            "                                                                 lambda_4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_bbox_loss (Lambda)        ()                   0           proposal_targets[0][2]           \n",
            "                                                                 proposal_targets[0][1]           \n",
            "                                                                 mrcnn_bbox[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "mrcnn_mask_loss (Lambda)        ()                   0           proposal_targets[0][3]           \n",
            "                                                                 proposal_targets[0][1]           \n",
            "                                                                 mrcnn_mask[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 63,733,406\n",
            "Trainable params: 63,621,918\n",
            "Non-trainable params: 111,488\n",
            "__________________________________________________________________________________________________\n",
            "Downloading pretrained model to /content/gdrive/My Drive/landslide/mask_rcnn_coco.h5 ...\n",
            "... done downloading pretrained model!\n",
            "Loading weights  /content/gdrive/My Drive/landslide/mask_rcnn_coco.h5\n",
            "2021-08-18 09:35:56.882167: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2021-08-18 09:35:56.887230: 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",
            "2021-08-18 09:35:56.887834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] 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",
            "2021-08-18 09:35:56.888133: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2021-08-18 09:35:56.895253: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2021-08-18 09:35:56.896967: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2021-08-18 09:35:56.897344: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2021-08-18 09:35:56.903595: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2021-08-18 09:35:56.904523: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2021-08-18 09:35:56.919871: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2021-08-18 09:35:56.920011: 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",
            "2021-08-18 09:35:56.920635: 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",
            "2021-08-18 09:35:56.921183: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n",
            "2021-08-18 09:35:56.927240: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199995000 Hz\n",
            "2021-08-18 09:35:56.927428: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5604f18acbc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2021-08-18 09:35:56.927456: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2021-08-18 09:35:57.163402: 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",
            "2021-08-18 09:35:57.164278: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5604f18acd80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
            "2021-08-18 09:35:57.164311: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla P100-PCIE-16GB, Compute Capability 6.0\n",
            "2021-08-18 09:35:57.164515: 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",
            "2021-08-18 09:35:57.165151: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] 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",
            "2021-08-18 09:35:57.165248: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2021-08-18 09:35:57.165294: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2021-08-18 09:35:57.165321: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10\n",
            "2021-08-18 09:35:57.165346: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10\n",
            "2021-08-18 09:35:57.165372: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10\n",
            "2021-08-18 09:35:57.165395: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10\n",
            "2021-08-18 09:35:57.165419: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "2021-08-18 09:35:57.165509: 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",
            "2021-08-18 09:35:57.166242: 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",
            "2021-08-18 09:35:57.166827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0\n",
            "2021-08-18 09:35:57.166922: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\n",
            "2021-08-18 09:35:57.168154: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
            "2021-08-18 09:35:57.168181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186]      0 \n",
            "2021-08-18 09:35:57.168233: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0:   N \n",
            "2021-08-18 09:35:57.168372: 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",
            "2021-08-18 09:35:57.168953: 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",
            "2021-08-18 09:35:57.169506: 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",
            "2021-08-18 09:35:57.169551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14982 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0)\n",
            "Training network heads\n",
            "\n",
            "Starting at epoch 0. LR=0.001\n",
            "\n",
            "Checkpoint Path: /content/gdrive/My Drive/landslide/logs/landslide20210818T0936/mask_rcnn_landslide_{epoch:04d}.h5\n",
            "Selecting layers to train\n",
            "fpn_c5p5               (Conv2D)\n",
            "fpn_c4p4               (Conv2D)\n",
            "fpn_c3p3               (Conv2D)\n",
            "fpn_c2p2               (Conv2D)\n",
            "fpn_p5                 (Conv2D)\n",
            "fpn_p2                 (Conv2D)\n",
            "fpn_p3                 (Conv2D)\n",
            "fpn_p4                 (Conv2D)\n",
            "In model:  rpn_model\n",
            "    rpn_conv_shared        (Conv2D)\n",
            "    rpn_class_raw          (Conv2D)\n",
            "    rpn_bbox_pred          (Conv2D)\n",
            "mrcnn_mask_conv1       (TimeDistributed)\n",
            "mrcnn_mask_bn1         (TimeDistributed)\n",
            "mrcnn_mask_conv2       (TimeDistributed)\n",
            "mrcnn_mask_bn2         (TimeDistributed)\n",
            "mrcnn_class_conv1      (TimeDistributed)\n",
            "mrcnn_class_bn1        (TimeDistributed)\n",
            "mrcnn_mask_conv3       (TimeDistributed)\n",
            "mrcnn_mask_bn3         (TimeDistributed)\n",
            "mrcnn_class_conv2      (TimeDistributed)\n",
            "mrcnn_class_bn2        (TimeDistributed)\n",
            "mrcnn_mask_conv4       (TimeDistributed)\n",
            "mrcnn_mask_bn4         (TimeDistributed)\n",
            "mrcnn_bbox_fc          (TimeDistributed)\n",
            "mrcnn_mask_deconv      (TimeDistributed)\n",
            "mrcnn_class_logits     (TimeDistributed)\n",
            "mrcnn_mask             (TimeDistributed)\n",
            "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/indexed_slices.py:424: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"Converting sparse IndexedSlices to a dense Tensor of unknown shape. \"\n",
            "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/indexed_slices.py:424: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"Converting sparse IndexedSlices to a dense Tensor of unknown shape. \"\n",
            "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/indexed_slices.py:424: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"Converting sparse IndexedSlices to a dense Tensor of unknown shape. \"\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/backend/tensorflow_backend.py:431: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
            "\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/backend/tensorflow_backend.py:438: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
            "\n",
            "/tensorflow-1.15.2/python3.7/keras/engine/training_generator.py:49: UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the `keras.utils.Sequence class.\n",
            "  UserWarning('Using a generator with `use_multiprocessing=True`'\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/callbacks/tensorboard_v1.py:200: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.\n",
            "\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/callbacks/tensorboard_v1.py:203: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.\n",
            "\n",
            "Epoch 1/20\n",
            "2021-08-18 09:37:05.870972: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10\n",
            "2021-08-18 09:37:06.597893: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7\n",
            "500/500 [==============================] - 177s 354ms/step - loss: 1.3886 - rpn_class_loss: 0.0163 - rpn_bbox_loss: 0.3830 - mrcnn_class_loss: 0.0612 - mrcnn_bbox_loss: 0.4983 - mrcnn_mask_loss: 0.4297 - val_loss: 1.5721 - val_rpn_class_loss: 0.0110 - val_rpn_bbox_loss: 0.6629 - val_mrcnn_class_loss: 0.0617 - val_mrcnn_bbox_loss: 0.5127 - val_mrcnn_mask_loss: 0.3988\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/keras/callbacks/tensorboard_v1.py:343: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead.\n",
            "\n",
            "Epoch 2/20\n",
            "500/500 [==============================] - 159s 319ms/step - loss: 0.7216 - rpn_class_loss: 0.0075 - rpn_bbox_loss: 0.2217 - mrcnn_class_loss: 0.0449 - mrcnn_bbox_loss: 0.2009 - mrcnn_mask_loss: 0.2466 - val_loss: 0.7379 - val_rpn_class_loss: 0.0098 - val_rpn_bbox_loss: 0.5375 - val_mrcnn_class_loss: 0.0598 - val_mrcnn_bbox_loss: 0.4369 - val_mrcnn_mask_loss: 0.4458\n",
            "Epoch 3/20\n",
            " 87/500 [====>.........................] - ETA: 2:05 - loss: 0.5224 - rpn_class_loss: 0.0061 - rpn_bbox_loss: 0.1420 - mrcnn_class_loss: 0.0499 - mrcnn_bbox_loss: 0.1378 - mrcnn_mask_loss: 0.1865Process ForkPoolWorker-1:\n",
            "Process ForkPoolWorker-3:\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 297, in _bootstrap\n",
            "    self.run()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 99, in run\n",
            "    self._target(*self._args, **self._kwargs)\n",
            "  File \"/usr/lib/python3.7/multiprocessing/pool.py\", line 110, in worker\n",
            "    task = get()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/queues.py\", line 351, in get\n",
            "    with self._rlock:\n",
            "  File \"/usr/lib/python3.7/multiprocessing/synchronize.py\", line 95, in __enter__\n",
            "    return self._semlock.__enter__()\n",
            "KeyboardInterrupt\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 297, in _bootstrap\n",
            "    self.run()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 99, in run\n",
            "    self._target(*self._args, **self._kwargs)\n",
            "  File \"/usr/lib/python3.7/multiprocessing/pool.py\", line 110, in worker\n",
            "    task = get()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/queues.py\", line 352, in get\n",
            "    res = self._reader.recv_bytes()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/connection.py\", line 216, in recv_bytes\n",
            "    buf = self._recv_bytes(maxlength)\n",
            "  File \"/usr/lib/python3.7/multiprocessing/connection.py\", line 407, in _recv_bytes\n",
            "    buf = self._recv(4)\n",
            "  File \"/usr/lib/python3.7/multiprocessing/connection.py\", line 379, in _recv\n",
            "    chunk = read(handle, remaining)\n",
            "KeyboardInterrupt\n",
            "Process ForkPoolWorker-2:\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 297, in _bootstrap\n",
            "    self.run()\n",
            "  File \"/usr/lib/python3.7/multiprocessing/process.py\", line 99, in run\n",
            "    self._target(*self._args, **self._kwargs)\n",
            "  File \"/usr/lib/python3.7/multiprocessing/pool.py\", line 121, in worker\n",
            "    result = (True, func(*args, **kwds))\n",
            "  File \"/tensorflow-1.15.2/python3.7/keras/utils/data_utils.py\", line 650, in next_sample\n",
            "    return six.next(_SHARED_SEQUENCES[uid])\n",
            "  File \"/content/Landslide_detection_using_Mask_RCNN/mrcnn/model.py\", line 1907, in data_generator\n",
            "    use_mini_mask=config.USE_MINI_MASK)\n",
            "  File \"/content/Landslide_detection_using_Mask_RCNN/mrcnn/model.py\", line 1417, in load_image_gt\n",
            "    mode=config.IMAGE_RESIZE_MODE)\n",
            "  File \"/content/Landslide_detection_using_Mask_RCNN/mrcnn/utils.py\", line 448, in resize_image\n",
            "    preserve_range=True)\n",
            "  File \"/content/Landslide_detection_using_Mask_RCNN/mrcnn/utils.py\", line 929, in resize\n",
            "    anti_aliasing_sigma=anti_aliasing_sigma)\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/skimage/transform/_warps.py\", line 166, in resize\n",
            "    preserve_range=preserve_range)\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/skimage/transform/_warps.py\", line 863, in warp\n",
            "    cval=cval))\n",
            "  File \"skimage/transform/_warps_cy.pyx\", line 183, in skimage.transform._warps_cy._warp_fast\n",
            "  File \"/usr/local/lib/python3.7/dist-packages/numpy/core/_asarray.py\", line 14, in asarray\n",
            "    @set_module('numpy')\n",
            "KeyboardInterrupt\n",
            "Traceback (most recent call last):\n",
            "  File \"custom.py\", line 368, in <module>\n",
            "    train(model)\n",
            "  File \"custom.py\", line 199, in train\n",
            "    model.train(dataset_train,dataset_val,learning_rate=config.LEARNING_RATE,epochs=20,layers='heads')\n",
            "  File \"/content/Landslide_detection_using_Mask_RCNN/mrcnn/model.py\", line 2594, in train\n",
            "    use_multiprocessing=True,\n",
            "  File \"/tensorflow-1.15.2/python3.7/keras/legacy/interfaces.py\", line 91, in wrapper\n",
            "    return func(*args, **kwargs)\n",
            "  File \"/tensorflow-1.15.2/python3.7/keras/engine/training.py\", line 1732, in fit_generator\n",
            "    initial_epoch=initial_epoch)\n",
            "  File \"/tensorflow-1.15.2/python3.7/keras/engine/training_generator.py\", line 220, in fit_generator\n",
            "    reset_metrics=False)\n",
            "  File \"/tensorflow-1.15.2/python3.7/keras/engine/training.py\", line 1514, in train_on_batch\n",
            "    outputs = self.train_function(ins)\n",
            "  File \"/tensorflow-1.15.2/python3.7/tensorflow_core/python/keras/backend.py\", line 3476, in __call__\n",
            "    run_metadata=self.run_metadata)\n",
            "  File \"/tensorflow-1.15.2/python3.7/tensorflow_core/python/client/session.py\", line 1472, in __call__\n",
            "    run_metadata_ptr)\n",
            "KeyboardInterrupt\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}