LastMinWorks.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Untitled4.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "[View in Colaboratory](https://colab.research.google.com/github/Prady96/CarDetectionProgramme/blob/master/LastMinWorks.ipynb)"
      ]
    },
    {
      "metadata": {
        "id": "touOkv66GZ9Z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "73f32e04-9d38-476a-83a6-e89f15b9e916"
      },
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/matterport/Mask_RCNN/tree/master/samples/balloon"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'balloon'...\n",
            "fatal: repository 'https://github.com/matterport/Mask_RCNN/tree/master/samples/balloon/' not found\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "P7-omS87GdYg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "0c6d08e0-8e05-4948-b805-6bab3bb7b215"
      },
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/matterport/Mask_RCNN"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Mask_RCNN'...\n",
            "remote: Counting objects: 775, done.\u001b[K\n",
            "remote: Total 775 (delta 0), reused 0 (delta 0), pack-reused 774\u001b[K\n",
            "Receiving objects: 100% (775/775), 107.33 MiB | 44.91 MiB/s, done.\n",
            "Resolving deltas: 100% (446/446), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "-4gFrZSVGuP0",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# changed dir images\n",
        "import os\n",
        "os.chdir('/content/Mask_RCNN/')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "cxwceKBhZF87",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "rm -rf mask_rcnn_balloon.h5"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "kU_3tcLeHEek",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "outputId": "cda46dd3-6541-4d46-92b8-bb0001f55dd5"
      },
      "cell_type": "code",
      "source": [
        "!wget https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2018-08-31 19:10:37--  https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5\r\n",
            "Resolving github.com (github.com)... 192.30.253.113, 192.30.253.112\r\n",
            "Connecting to github.com (github.com)|192.30.253.113|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://github-production-release-asset-2e65be.s3.amazonaws.com/107595270/872d3234-d21f-11e7-9a51-7b4bc8075835?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20180831%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20180831T191037Z&X-Amz-Expires=300&X-Amz-Signature=78ff184e40495a28643baeeedf6e77815740af5c0e99f647f22ce86bd0fbfa11&X-Amz-SignedHeaders=host&actor_id=0&response-content-disposition=attachment%3B%20filename%3Dmask_rcnn_coco.h5&response-content-type=application%2Foctet-stream [following]\n",
            "--2018-08-31 19:10:37--  https://github-production-release-asset-2e65be.s3.amazonaws.com/107595270/872d3234-d21f-11e7-9a51-7b4bc8075835?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20180831%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20180831T191037Z&X-Amz-Expires=300&X-Amz-Signature=78ff184e40495a28643baeeedf6e77815740af5c0e99f647f22ce86bd0fbfa11&X-Amz-SignedHeaders=host&actor_id=0&response-content-disposition=attachment%3B%20filename%3Dmask_rcnn_coco.h5&response-content-type=application%2Foctet-stream\n",
            "Resolving github-production-release-asset-2e65be.s3.amazonaws.com (github-production-release-asset-2e65be.s3.amazonaws.com)... 54.231.72.19\n",
            "Connecting to github-production-release-asset-2e65be.s3.amazonaws.com (github-production-release-asset-2e65be.s3.amazonaws.com)|54.231.72.19|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 257557808 (246M) [application/octet-stream]\n",
            "Saving to: ‘mask_rcnn_coco.h5’\n",
            "\n",
            "mask_rcnn_coco.h5   100%[===================>] 245.63M  72.4MB/s    in 3.4s    \n",
            "\n",
            "2018-08-31 19:10:40 (72.4 MB/s) - ‘mask_rcnn_coco.h5’ saved [257557808/257557808]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "HNWODy5TZRAZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "outputId": "ecff0e79-d3b6-4250-90e1-f3817d7face2"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 251604\r\n",
            "drwxr-xr-x 9 root root      4096 Aug 31 19:10 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 1 root root      4096 Aug 31 17:49 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 2 root root      4096 Aug 31 17:49 \u001b[01;34massets\u001b[0m/\r\n",
            "drwxr-xr-x 3 root root      4096 Aug 31 17:55 \u001b[01;34mdatasets\u001b[0m/\r\n",
            "drwxr-xr-x 8 root root      4096 Aug 31 17:49 \u001b[01;34m.git\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root       569 Aug 31 17:49 .gitignore\r\n",
            "drwxr-xr-x 2 root root      4096 Aug 31 17:49 \u001b[01;34mimages\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root      1095 Aug 31 17:49 LICENSE\r\n",
            "drwxr-xr-x 5 root root      4096 Aug 31 18:06 \u001b[01;34mlogs\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root        58 Aug 31 17:49 MANIFEST.in\r\n",
            "-rw-r--r-- 1 root root 257557808 Nov 26  2017 mask_rcnn_coco.h5\r\n",
            "drwxr-xr-x 2 root root      4096 Aug 31 17:49 \u001b[01;34mmrcnn\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root     12524 Aug 31 17:49 README.md\r\n",
            "-rw-r--r-- 1 root root       119 Aug 31 17:49 requirements.txt\r\n",
            "drwxr-xr-x 6 root root      4096 Aug 31 17:49 \u001b[01;34msamples\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root        99 Aug 31 17:49 setup.cfg\r\n",
            "-rw-r--r-- 1 root root      2518 Aug 31 17:49 setup.py\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "FRyHM-lRHPI9",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mkdir datasets\n",
        "# # changed dir images\n",
        "# import os\n",
        "# os.chdir('/content/Mask_RCNN/datasets/balloon/')\n",
        "\n",
        "# mask_rcnn/datasets/balloon/\n",
        "# https://github.com/matterport/Mask_RCNN/releases/download/v2.1/balloon_dataset.zip"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "2AZP2yL9Hb75",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# changed dir images\n",
        "import os\n",
        "os.chdir('/content/Mask_RCNN/datasets/')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "iGYO27MtZVqU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "4b9e1953-8032-4803-d2e9-e7bcf81ef3b2"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 12\r\n",
            "drwxr-xr-x 3 root root 4096 Aug 31 19:15 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 9 root root 4096 Aug 31 19:10 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root 4096 Aug 31 19:13 \u001b[01;34mballoon\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "T2bOGLhQZjon",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "rm -rf balloon/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "rpWM6R8dZnGh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "e4114258-60b1-4f56-98cf-bee4786824bd"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 8\r\n",
            "drwxr-xr-x 2 root root 4096 Aug 31 20:02 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 9 root root 4096 Aug 31 19:10 \u001b[01;34m..\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "BtW6ANgCZopI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "outputId": "52eeaf77-f5af-41e3-8d91-2c2012ae2921"
      },
      "cell_type": "code",
      "source": [
        "!wget https://github.com/Prady96/Objecte-Detection/archive/EDated.zip"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2018-08-31 20:04:30--  https://github.com/Prady96/Objecte-Detection/archive/EDated.zip\r\n",
            "Resolving github.com (github.com)... 192.30.253.113, 192.30.253.112\r\n",
            "Connecting to github.com (github.com)|192.30.253.113|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://codeload.github.com/Prady96/Objecte-Detection/zip/EDated [following]\n",
            "--2018-08-31 20:04:30--  https://codeload.github.com/Prady96/Objecte-Detection/zip/EDated\n",
            "Resolving codeload.github.com (codeload.github.com)... 192.30.253.120, 192.30.253.121\n",
            "Connecting to codeload.github.com (codeload.github.com)|192.30.253.120|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [application/zip]\n",
            "Saving to: ‘EDated.zip’\n",
            "\n",
            "EDated.zip              [           <=>      ] 175.05M  19.4MB/s    in 8.7s    \n",
            "\n",
            "2018-08-31 20:04:39 (20.2 MB/s) - ‘EDated.zip’ saved [183550225]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "B_NYb0U1Zr8W",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "50daf530-42f6-4e40-e3a2-30cf15eb1d14"
      },
      "cell_type": "code",
      "source": [
        "cd Objecte-Detection-EDated/"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets/Objecte-Detection-EDated\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "mNIu3Blml126",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "outputId": "201cd0c7-9236-464c-9a20-bbdf4d4efa4c"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 96\r\n",
            "drwxr-xr-x 7 root root  4096 Aug 31 20:01 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 3 root root  4096 Aug 31 20:05 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root  4096 Aug 31 20:01 \u001b[01;34mballoon\u001b[0m/\r\n",
            "drwxr-xr-x 2 root root  4096 Aug 31 20:01 \u001b[01;34mdata\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root  4538 Aug 31 20:01 elephant_labels.csv\r\n",
            "-rw-r--r-- 1 root root  3570 Aug 31 20:01 generate_tfRecord.py\r\n",
            "-rw-r--r-- 1 root root  2104 Aug 31 20:01 .gitignore\r\n",
            "drwxr-xr-x 4 root root  4096 Aug 31 20:01 \u001b[01;34mimages\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root  4260 Aug 31 20:01 mask_rcnn_inception_v2_coco.config\r\n",
            "-rw-r--r-- 1 root root    42 Aug 31 20:01 README.md\r\n",
            "-rw-r--r-- 1 root root 35141 Aug 31 20:01 testing.ipynb\r\n",
            "drwxr-xr-x 2 root root  4096 Aug 31 20:01 \u001b[01;34mtraining\u001b[0m/\r\n",
            "drwxr-xr-x 2 root root  4096 Aug 31 20:01 \u001b[01;34mxml\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root  1185 Aug 31 20:01 xml_to_csv.py\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "rdm7h0B2l3zS",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "mv balloon/ /content/Mask_RCNN/datasets/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "KBAOxq-HZ3rP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        },
        "outputId": "48d9a159-8da7-4f45-a5ed-a290ca51128f"
      },
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/Prady96/Objecte-Detection"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Objecte-Detection'...\n",
            "remote: Counting objects: 268, done.\u001b[K\n",
            "remote: Compressing objects: 100% (24/24), done.\u001b[K\n",
            "remote: Total 268 (delta 1), reused 0 (delta 0), pack-reused 244\u001b[K\n",
            "Receiving objects: 100% (268/268), 194.95 MiB | 15.34 MiB/s, done.\n",
            "Resolving deltas: 100% (59/59), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "QEQwQ5CWaDaA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ce9ec3af-0a23-43d5-e6da-ef02559c5195"
      },
      "cell_type": "code",
      "source": [
        "cd .."
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "mgJRoKxomOZV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        },
        "outputId": "ac351925-c610-461b-b57d-1dbb84b18890"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 179272\r\n",
            "drwxr-xr-x 4 root root      4096 Aug 31 20:06 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 9 root root      4096 Aug 31 19:10 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root      4096 Aug 31 20:01 \u001b[01;34mballoon\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root 183550225 Aug 31 20:04 EDated.zip\r\n",
            "drwxr-xr-x 6 root root      4096 Aug 31 20:06 \u001b[01;34mObjecte-Detection-EDated\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "krgA9mjrmQys",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "rm -rf EDated.zip"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "onwvpLXUmUiw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "f7b6cde3-65f0-46ca-a892-79a344ebce9e"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 12\r\n",
            "drwxr-xr-x 3 root root 4096 Aug 31 20:08 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 9 root root 4096 Aug 31 19:10 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root 4096 Aug 31 20:01 \u001b[01;34mballoon\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "wteedr0zaFo_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "aa4bf570-8cc4-434e-f477-9410cf6f37d5"
      },
      "cell_type": "code",
      "source": [
        "# cd Objecte-Detection/"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets/Objecte-Detection\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "lhDaFO7XaFjy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        },
        "outputId": "c37599bd-38f9-466e-9290-288756d81899"
      },
      "cell_type": "code",
      "source": [
        "# ls -la"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 28440\r\n",
            "drwxr-xr-x 5 root root     4096 Aug 31 19:13 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 3 root root     4096 Aug 31 19:13 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root     4096 Aug 31 19:13 \u001b[01;34mballoon\u001b[0m/\r\n",
            "drwxr-xr-x 2 root root     4096 Aug 31 19:13 \u001b[01;34mdogs\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root 12481377 Aug 31 19:13 EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%.png\r\n",
            "drwxr-xr-x 8 root root     4096 Aug 31 19:13 \u001b[01;34m.git\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root     1203 Aug 31 19:13 .gitignore\r\n",
            "-rw-r--r-- 1 root root  1499938 Aug 31 19:13 M_2Test_MRCNN.ipynb\r\n",
            "-rw-r--r-- 1 root root  1226837 Aug 31 19:13 MaskRCNNTesting.ipynb\r\n",
            "-rw-r--r-- 1 root root  1391963 Aug 31 19:13 M_RCNN.ipynb\r\n",
            "-rw-r--r-- 1 root root       42 Aug 31 19:13 README.md\r\n",
            "-rw-r--r-- 1 root root 12481377 Aug 31 19:13 Sample_1.png\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "DQ1H9q6KaFft",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# mv balloon/ /content/Mask_RCNN/datasets/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "lY-1bDiUaS1x",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "9e162baa-f9c1-4fa5-ca58-9af3ca00ceb3"
      },
      "cell_type": "code",
      "source": [
        "# cd .."
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "0KB1Bk5laXuC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "e9285edc-6557-4fb4-ad03-4ba86d697e36"
      },
      "cell_type": "code",
      "source": [
        "# ls -la"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 16\r\n",
            "drwxr-xr-x 4 root root 4096 Aug 31 19:15 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 9 root root 4096 Aug 31 19:10 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root 4096 Aug 31 19:13 \u001b[01;34mballoon\u001b[0m/\r\n",
            "drwxr-xr-x 4 root root 4096 Aug 31 19:15 \u001b[01;34mObjecte-Detection\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "-k2JhcBbaZSS",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# rm -rf Objecte-Detection/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "2RIBePleH71e",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# !mkdir balloon"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "EErIznj1ICu-",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# changed dir images\n",
        "import os\n",
        "os.chdir('/content/Mask_RCNN/datasets/balloon')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "WGPYp-n_IJeU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "outputId": "db5c235b-9abf-4c55-9d4e-d5ded9f7395c"
      },
      "cell_type": "code",
      "source": [
        "# !wget https://github.com/matterport/Mask_RCNN/releases/download/v2.1/balloon_dataset.zip"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2018-08-31 17:56:25--  https://github.com/matterport/Mask_RCNN/releases/download/v2.1/balloon_dataset.zip\r\n",
            "Resolving github.com (github.com)... 192.30.253.112, 192.30.253.113\r\n",
            "Connecting to github.com (github.com)|192.30.253.112|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://github-production-release-asset-2e65be.s3.amazonaws.com/107595270/737339e2-2b83-11e8-856a-188034eb3468?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20180831%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20180831T175625Z&X-Amz-Expires=300&X-Amz-Signature=23cca9be20aab4111ec383d8a463c67e51187d1e5db0d2692618ec3fc33b4d53&X-Amz-SignedHeaders=host&actor_id=0&response-content-disposition=attachment%3B%20filename%3Dballoon_dataset.zip&response-content-type=application%2Foctet-stream [following]\n",
            "--2018-08-31 17:56:25--  https://github-production-release-asset-2e65be.s3.amazonaws.com/107595270/737339e2-2b83-11e8-856a-188034eb3468?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20180831%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20180831T175625Z&X-Amz-Expires=300&X-Amz-Signature=23cca9be20aab4111ec383d8a463c67e51187d1e5db0d2692618ec3fc33b4d53&X-Amz-SignedHeaders=host&actor_id=0&response-content-disposition=attachment%3B%20filename%3Dballoon_dataset.zip&response-content-type=application%2Foctet-stream\n",
            "Resolving github-production-release-asset-2e65be.s3.amazonaws.com (github-production-release-asset-2e65be.s3.amazonaws.com)... 52.216.232.75\n",
            "Connecting to github-production-release-asset-2e65be.s3.amazonaws.com (github-production-release-asset-2e65be.s3.amazonaws.com)|52.216.232.75|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 38741381 (37M) [application/octet-stream]\n",
            "Saving to: ‘balloon_dataset.zip’\n",
            "\n",
            "balloon_dataset.zip 100%[===================>]  36.95M  35.5MB/s    in 1.0s    \n",
            "\n",
            "2018-08-31 17:56:26 (35.5 MB/s) - ‘balloon_dataset.zip’ saved [38741381/38741381]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "_84tdKGdIQAK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 2737
        },
        "outputId": "bd1d23fc-b355-41eb-8774-2ac7e302e83e"
      },
      "cell_type": "code",
      "source": [
        "# !unzip balloon_dataset.zip"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  balloon_dataset.zip\r\n",
            "   creating: balloon/\r\n",
            "   creating: balloon/train/\r\n",
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            "   creating: __MACOSX/balloon/train/\r\n",
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            "  inflating: balloon/val/via_region_data.json  \n",
            "  inflating: __MACOSX/balloon/val/._via_region_data.json  \n",
            "  inflating: balloon/val/4581425993_72b9b15fc0_b.jpg  \n",
            "  inflating: __MACOSX/balloon/val/._4581425993_72b9b15fc0_b.jpg  \n",
            "  inflating: balloon/val/2917282960_06beee649a_b.jpg  \n",
            "  inflating: __MACOSX/balloon/val/._2917282960_06beee649a_b.jpg  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "Sw8_wgV7IUfx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "02a8939e-51ad-40f4-d3aa-06e126c380d6"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 18468\r\n",
            "drwxr-xr-x 2 root root     4096 Aug 31 18:07 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 6 root root     4096 Aug 31 17:49 \u001b[01;34m..\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root    13736 Aug 31 17:49 balloon.py\r\n",
            "-rw-r--r-- 1 root root  8176394 Aug 31 17:49 inspect_balloon_data.ipynb\r\n",
            "-rw-r--r-- 1 root root 10473141 Aug 31 17:49 inspect_balloon_model.ipynb\r\n",
            "-rw-r--r-- 1 root root     1983 Aug 31 17:49 README.md\r\n",
            "-rw-r--r-- 1 root root   227434 Aug 31 18:07 splash_20180831T180719.png\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "xoqWhBWZIbLg",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "rm -rf __MACOSX/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "RP5fjIRgIe4w",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "rm -rf balloon_dataset.zip"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "4vuS7FrVIhd4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "707f56aa-7fa5-42b5-9889-c5e8f9c8e89c"
      },
      "cell_type": "code",
      "source": [
        "pwd"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/Mask_RCNN/datasets'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 107
        }
      ]
    },
    {
      "metadata": {
        "id": "ydl4zbvdIiyI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "186fbdd9-78e7-4039-a3e9-2378f4d819e1"
      },
      "cell_type": "code",
      "source": [
        "cd balloon"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets/balloon/balloon\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "dHc4lb4zIkR_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "6838e6a8-6175-458c-eb4c-87db1e3030ab"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 16\r\n",
            "drwxrwxrwx 4 root root 4096 Mar 19 09:54 \u001b[0m\u001b[34;42m.\u001b[0m/\r\n",
            "drwxr-xr-x 3 root root 4096 Aug 31 17:57 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Mar 19 05:47 \u001b[34;42mtrain\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Mar 19 05:47 \u001b[34;42mval\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "43CxqyaaIlZ4",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "mv train /content/Mask_RCNN/datasets/balloon/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "l7pEBgxpIyss",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "mv val /content/Mask_RCNN/datasets/balloon/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "ZnJvkc81I1Pj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d94c34d2-011f-4f24-9b2f-d9cd1f2929be"
      },
      "cell_type": "code",
      "source": [
        "cd .."
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets/balloon\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "c8tLqrIXI4BZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5c9976b4-d645-472e-f1bc-a3bc58affb6a"
      },
      "cell_type": "code",
      "source": [
        "pwd"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/Mask_RCNN/datasets/balloon'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "metadata": {
        "id": "OwZJOJD0I5FB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        },
        "outputId": "30f2ece1-dd8e-45fc-817b-eb3545cfda96"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 20\r\n",
            "drwxr-xr-x 5 root root 4096 Aug 31 17:58 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 3 root root 4096 Aug 31 17:55 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Aug 31 17:58 \u001b[34;42mballoon\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Mar 19 05:47 \u001b[34;42mtrain\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Mar 19 05:47 \u001b[34;42mval\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "lptp_HUrI7MC",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "rm -rf balloon"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "GKLEwtyXI9F6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        },
        "outputId": "a47ee1f8-3656-42fc-e371-29c4088fdadd"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 16\r\n",
            "drwxr-xr-x 4 root root 4096 Aug 31 17:59 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 3 root root 4096 Aug 31 17:55 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Mar 19 05:47 \u001b[34;42mtrain\u001b[0m/\r\n",
            "drwxrwxrwx 2 root root 4096 Mar 19 05:47 \u001b[34;42mval\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "NzFV3pFUJAsp",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "cc788a0a-82ae-41f8-d5f1-a381a599e3f6"
      },
      "cell_type": "code",
      "source": [
        "cd .."
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/datasets\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "wQswHl1vapkH",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.chdir('/content/Mask_RCNN/')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "dtc-zqSWJCKI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "91706212-d44c-425b-bcf5-80a863495b0f"
      },
      "cell_type": "code",
      "source": [
        "pwd"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/Mask_RCNN'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "metadata": {
        "id": "-zob3FOdJDcq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "outputId": "12f88f59-7036-432f-dce1-b2ed6249ad92"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 251604\r\n",
            "drwxr-xr-x  9 root root      4096 Aug 31 19:10 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x  1 root root      4096 Aug 31 17:49 \u001b[01;34m..\u001b[0m/\r\n",
            "drwxr-xr-x  2 root root      4096 Aug 31 17:49 \u001b[01;34massets\u001b[0m/\r\n",
            "drwxr-xr-x  3 root root      4096 Aug 31 20:08 \u001b[01;34mdatasets\u001b[0m/\r\n",
            "drwxr-xr-x  8 root root      4096 Aug 31 17:49 \u001b[01;34m.git\u001b[0m/\r\n",
            "-rw-r--r--  1 root root       569 Aug 31 17:49 .gitignore\r\n",
            "drwxr-xr-x  2 root root      4096 Aug 31 17:49 \u001b[01;34mimages\u001b[0m/\r\n",
            "-rw-r--r--  1 root root      1095 Aug 31 17:49 LICENSE\r\n",
            "drwxr-xr-x 12 root root      4096 Aug 31 19:36 \u001b[01;34mlogs\u001b[0m/\r\n",
            "-rw-r--r--  1 root root        58 Aug 31 17:49 MANIFEST.in\r\n",
            "-rw-r--r--  1 root root 257557808 Nov 26  2017 mask_rcnn_coco.h5\r\n",
            "drwxr-xr-x  2 root root      4096 Aug 31 17:49 \u001b[01;34mmrcnn\u001b[0m/\r\n",
            "-rw-r--r--  1 root root     12524 Aug 31 17:49 README.md\r\n",
            "-rw-r--r--  1 root root       119 Aug 31 17:49 requirements.txt\r\n",
            "drwxr-xr-x  6 root root      4096 Aug 31 17:49 \u001b[01;34msamples\u001b[0m/\r\n",
            "-rw-r--r--  1 root root        99 Aug 31 17:49 setup.cfg\r\n",
            "-rw-r--r--  1 root root      2518 Aug 31 17:49 setup.py\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "gyygevwpJEkQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "a538ad02-fe52-4cda-a9a7-9ad2c4e8bb0e"
      },
      "cell_type": "code",
      "source": [
        "cd samples/"
      ],
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/samples\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "z8ICa9bZJRSt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "32708541-b6ee-4388-e06f-32c27e1fdecc"
      },
      "cell_type": "code",
      "source": [
        "ls"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[0m\u001b[01;34mballoon\u001b[0m/  \u001b[01;34mcoco\u001b[0m/  demo.ipynb  \u001b[01;34mnucleus\u001b[0m/  \u001b[01;34mshapes\u001b[0m/\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "qxQWCY3vJRzm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "7c49c194-d4b8-4d2e-d5ad-6f1135e0f5f8"
      },
      "cell_type": "code",
      "source": [
        "cd balloon"
      ],
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Mask_RCNN/samples/balloon\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "07wNY4TgJUB9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "943c1579-34d0-4f6e-cdc4-0f5e7b7223b8"
      },
      "cell_type": "code",
      "source": [
        "ls -la"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 18468\r\n",
            "drwxr-xr-x 2 root root     4096 Aug 31 18:07 \u001b[0m\u001b[01;34m.\u001b[0m/\r\n",
            "drwxr-xr-x 6 root root     4096 Aug 31 17:49 \u001b[01;34m..\u001b[0m/\r\n",
            "-rw-r--r-- 1 root root    13736 Aug 31 17:49 balloon.py\r\n",
            "-rw-r--r-- 1 root root  8176394 Aug 31 17:49 inspect_balloon_data.ipynb\r\n",
            "-rw-r--r-- 1 root root 10473141 Aug 31 17:49 inspect_balloon_model.ipynb\r\n",
            "-rw-r--r-- 1 root root     1983 Aug 31 17:49 README.md\r\n",
            "-rw-r--r-- 1 root root   227434 Aug 31 18:07 splash_20180831T180719.png\r\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "s28i4pj9JVKl",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# %run balloon.py splash --weights=/content/Mask_RCNN/mask_rcnn_coco.h5 --image=https://raw.githubusercontent.com/Prady96/Objecte-Detection/master/balloon/train/Screen%20Shot%202018-08-31%20at%207.28.32%20PM.png"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "rnUOjJxmdlD3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1618
        },
        "outputId": "0b69a536-259f-4a8c-d004-bb47a745ea8b"
      },
      "cell_type": "code",
      "source": [
        "%run balloon.py train --dataset=/content/Mask_RCNN/datasets/balloon/ --weights=coco"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Weights:  coco\n",
            "Dataset:  /content/Mask_RCNN/datasets/balloon/\n",
            "Logs:  /content/Mask_RCNN/logs\n",
            "\n",
            "Configurations:\n",
            "BACKBONE                       resnet101\n",
            "BACKBONE_STRIDES               [4, 8, 16, 32, 64]\n",
            "BATCH_SIZE                     2\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                 2\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                           balloon\n",
            "NUM_CLASSES                    2\n",
            "POOL_SIZE                      7\n",
            "POST_NMS_ROIS_INFERENCE        1000\n",
            "POST_NMS_ROIS_TRAINING         2000\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                100\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",
            "Loading weights  /content/Mask_RCNN/mask_rcnn_coco.h5\n",
            "Training network heads\n",
            "\n",
            "Starting at epoch 0. LR=0.001\n",
            "\n",
            "Checkpoint Path: /content/Mask_RCNN/logs/balloon20180831T2009/mask_rcnn_balloon_{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"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gradients_impl.py:108: 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",
            "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py:2087: UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/30\n",
            "  3/100 [..............................] - ETA: 3:43:12 - loss: 4.8644 - rpn_class_loss: 0.0613 - rpn_bbox_loss: 1.4893 - mrcnn_class_loss: 0.5164 - mrcnn_bbox_loss: 0.9800 - mrcnn_mask_loss: 1.8174"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "ECakYqJxKA38",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "outputId": "fd88094b-5bba-44ae-85b3-b7046ce4092a"
      },
      "cell_type": "code",
      "source": [
        "!pip install -U keras"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting keras\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/34/7d/b1dedde8af99bd82f20ed7e9697aac0597de3049b1f786aa2aac3b9bd4da/Keras-2.2.2-py2.py3-none-any.whl (299kB)\n",
            "\u001b[K    100% |████████████████████████████████| 307kB 4.7MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: scipy>=0.14 in /usr/local/lib/python3.6/dist-packages (from keras) (0.19.1)\n",
            "Requirement already satisfied, skipping upgrade: h5py in /usr/local/lib/python3.6/dist-packages (from keras) (2.8.0)\n",
            "Requirement already satisfied, skipping upgrade: six>=1.9.0 in /usr/local/lib/python3.6/dist-packages (from keras) (1.11.0)\n",
            "Collecting keras-preprocessing==1.0.2 (from keras)\n",
            "  Downloading https://files.pythonhosted.org/packages/71/26/1e778ebd737032749824d5cba7dbd3b0cf9234b87ab5ec79f5f0403ca7e9/Keras_Preprocessing-1.0.2-py2.py3-none-any.whl\n",
            "Requirement already satisfied, skipping upgrade: pyyaml in /usr/local/lib/python3.6/dist-packages (from keras) (3.13)\n",
            "Collecting keras-applications==1.0.4 (from keras)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/54/90/8f327deaa37a71caddb59b7b4aaa9d4b3e90c0e76f8c2d1572005278ddc5/Keras_Applications-1.0.4-py2.py3-none-any.whl (43kB)\n",
            "\u001b[K    100% |████████████████████████████████| 51kB 7.3MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: numpy>=1.9.1 in /usr/local/lib/python3.6/dist-packages (from keras) (1.14.5)\n",
            "Installing collected packages: keras-preprocessing, keras-applications, keras\n",
            "  Found existing installation: Keras 2.1.6\n",
            "    Uninstalling Keras-2.1.6:\n",
            "      Successfully uninstalled Keras-2.1.6\n",
            "Successfully installed keras-2.2.2 keras-applications-1.0.4 keras-preprocessing-1.0.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "65V-VK5vKIIL",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}