nbs/00_setup.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "00_setup.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "culxY92n_-sg",
        "colab_type": "text"
      },
      "source": [
        "Make sure the right version of kaggle is installed. The commented parts of this notebook have to be executed only once"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LS6zJtHp_9Rv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# !pip uninstall -y kaggle\n",
        "# !pip install --upgrade pip\n",
        "# !pip install kaggle==1.5.6\n",
        "# !kaggle -v\n",
        "# !pip install kaggleDownloader"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6CAFAWpfvwBz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# from kaggleDownloader import get_dataset\n",
        "import os\n",
        "from google.colab import drive"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CtY87jBC93p-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "os.environ[\"KAGGLE_USERNAME\"] = \"your_username_here\"\n",
        "os.environ[\"KAGGLE_KEY\"] = \"your_key_here\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "52SrQZ-zxVvu",
        "colab_type": "code",
        "outputId": "c63e44db-8d03-4e5f-d493-fcff01d6ec28",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "# download kaggle.json and upload it on drive\n",
        "drive.mount('/content/drive', force_remount = True)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "404FTil2xoI4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# copy kaggle.json to cwd\n",
        "# !cp drive/My\\ Drive/kaggle.json /content"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0X5s5dETv02E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# one way to download the data\n",
        "# downloads only test files for some reason\n",
        "# get_dataset(\"kaggle competitions download -c rsna-intracranial-hemorrhage-detection\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WlXlqs1QAgCC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# another way to download data, doesn't fir in colab disk space\n",
        "# !kaggle competitions download -c rsna-intracranial-hemorrhage-detection"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lhC8PX_dN7v5",
        "colab_type": "code",
        "outputId": "da32a517-83ca-448d-f8c7-5224a9113328",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "# download jeremy's clean dataset\n",
        "!kaggle datasets download -d jhoward/rsna-hemorrhage-jpg --force"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading rsna-hemorrhage-jpg.zip to /content\n",
            "100% 3.81G/3.82G [02:37<00:00, 45.3MB/s]\n",
            "100% 3.82G/3.82G [02:37<00:00, 26.0MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hPMCjgqkWs3N",
        "colab_type": "code",
        "outputId": "16888f8a-3470-4a67-e16d-fd82adac73ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%ls"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[0m\u001b[01;34mdrive\u001b[0m/  rsna-hemorrhage-jpg.zip  \u001b[01;34msample_data\u001b[0m/\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "azvPJLcMWuc1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "4016e8f2-c3cd-4f08-cb60-844becfda1d4"
      },
      "source": [
        "%ls drive/My\\ Drive/"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " \u001b[0m\u001b[01;34mclean-data\u001b[0m/  \u001b[01;34m'Colab Notebooks'\u001b[0m/  'Getting started.pdf'   kaggle.json\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lQIgK1eYP07v",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# make a folder on drive to upload it, takes too long\n",
        "!mkdir drive/My\\ Drive/rsna-data\n",
        "\n",
        "# upload it on colab disk, goes away everytime session expires\n",
        "# !mkdir rsna-data"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ee_WLp5jiIwo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%mv rsna-hemorrhage-jpg.zip drive/My\\ Drive/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BCAp_qfYiNX-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "944ae1e3-10c1-4eb2-9f25-14975bf61166"
      },
      "source": [
        "%cd drive/My\\ Drive\n",
        "%ls"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive\n",
            " \u001b[0m\u001b[01;34mclean-data\u001b[0m/        'Getting started.pdf'   \u001b[01;34mrsna-data\u001b[0m/\n",
            "\u001b[01;34m'Colab Notebooks'\u001b[0m/   kaggle.json            rsna-hemorrhage-jpg.zip\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "joXc3arcjLqq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 785
        },
        "outputId": "2ec785e7-3a6b-4c4b-97aa-e26418d69e03"
      },
      "source": [
        "!pip install fastai2"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting fastai2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/c6/2d/23274b93f31b7b4bf5418d2d093b46de87aee8c3401bbf03ee1b8ab40a50/fastai2-0.0.15-py3-none-any.whl (181kB)\n",
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            "\u001b[?25hRequirement already satisfied: torchvision>=0.5 in /usr/local/lib/python3.6/dist-packages (from fastai2) (0.5.0)\n",
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            "Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from fastai2) (1.4.1)\n",
            "Requirement already satisfied: torch>=1.3.0 in /usr/local/lib/python3.6/dist-packages (from fastai2) (1.4.0)\n",
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            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from fastai2) (0.22.2.post1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from fastai2) (3.2.1)\n",
            "Collecting fastcore\n",
            "  Downloading https://files.pythonhosted.org/packages/3b/b5/aed836ce5b16ea1088a5d1a41d400bc051abf90bbef58bb74d8fd01a76af/fastcore-0.1.16-py3-none-any.whl\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torchvision>=0.5->fastai2) (1.18.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from torchvision>=0.5->fastai2) (1.12.0)\n",
            "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->fastai2) (2.8)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->fastai2) (2019.11.28)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->fastai2) (3.0.4)\n",
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            "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from spacy->fastai2) (46.0.0)\n",
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            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->fastai2) (0.14.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai2) (1.1.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai2) (2.4.6)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai2) (0.10.0)\n",
            "Requirement already satisfied: dataclasses>='0.7'; python_version < \"3.7\" in /usr/local/lib/python3.6/dist-packages (from fastcore->fastai2) (0.7)\n",
            "Requirement already satisfied: importlib-metadata>=0.20; python_version < \"3.8\" in /usr/local/lib/python3.6/dist-packages (from catalogue<1.1.0,>=0.0.7->spacy->fastai2) (1.5.0)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata>=0.20; python_version < \"3.8\"->catalogue<1.1.0,>=0.0.7->spacy->fastai2) (3.1.0)\n",
            "Installing collected packages: fastcore, fastai2\n",
            "Successfully installed fastai2-0.0.15 fastcore-0.1.16\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9723CdcojWKw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from fastai2.vision.all import *"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hiXkU0Gaiitm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from zipfile import ZipFile\n",
        "with ZipFile('rsna-hemorrhage-jpg.zip', 'r') as archive:\n",
        "  archive.extractall('rsna-data')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8lUkYHbc24sD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "42472842-ac3d-4ed6-9346-69a04b0c859c"
      },
      "source": [
        "fn = get_image_files('rsna-data/train_jpg/train_jpg/')\n",
        "len(fn)"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "194082"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DuBv495LCQpj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "outputId": "67447c12-8bbb-4bf1-bc77-c22e78dc93ff"
      },
      "source": [
        "!pip install pydicom"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting pydicom\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/53/e6/4cae2b4b2fdbea5e2ddd188361139606d8f10f710ba1abecd6600da099c3/pydicom-1.4.2-py2.py3-none-any.whl (35.3MB)\n",
            "\u001b[K     |████████████████████████████████| 35.3MB 125kB/s \n",
            "\u001b[?25hInstalling collected packages: pydicom\n",
            "Successfully installed pydicom-1.4.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JDuj3XsuRZGI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "5dc16e0a-abe0-4acf-c011-621176a11455"
      },
      "source": [
        "from PIL import Image\n",
        "import numpy as np\n",
        "from matplotlib import pyplot as plt\n",
        "import pydicom\n",
        "import glob\n",
        "import pandas as pd\n",
        "\n",
        "im = np.array(Image.open('rsna-data/train_jpg/train_jpg/ID_2dfa9f6f8.jpg').convert('L'))\n",
        "print(im.shape)\n",
        "plt.imshow(im, cmap=plt.cm.bone);"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(256, 256)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JKqiqSoUyL1GW/UGU2xUsce7SpnAZC61RFuTtNBptGKPR7/ddRod0FLjk0JWG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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}