car_classifier_data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "car-classifier--data",
      "version": "0.3.2",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gdoteof/neuralnet_stuff/blob/master/car_classifier_data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "mt9ebzNigC41",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### Set up colab to use fastai\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "metadata": {
        "id": "bgC6qTtHf-kB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1640
        },
        "outputId": "2e0bac0e-0d7b-4399-9044-dd81ab871346"
      },
      "cell_type": "code",
      "source": [
        "  !curl https://course-v3.fast.ai/setup/colab | bash"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "Collecting pillow==4.1.1\n",
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            "\u001b[?25hRequirement already satisfied, skipping upgrade: olefile in /usr/local/lib/python3.6/dist-packages (from pillow==4.1.1) (0.46)\n",
            "Installing collected packages: pillow\n",
            "  Found existing installation: Pillow 4.0.0\n",
            "    Uninstalling Pillow-4.0.0:\n",
            "      Successfully uninstalled Pillow-4.0.0\n",
            "Successfully installed pillow-4.1.1\n",
            "Looking in links: https://download.pytorch.org/whl/nightly/cu92/torch_nightly.html\n",
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            "\u001b[?25hInstalling collected packages: torch-nightly\n",
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            "remote: Total 2583 (delta 0), reused 0 (delta 0), pack-reused 2583\u001b[K\n",
            "Receiving objects: 100% (2583/2583), 74.87 MiB | 33.05 MiB/s, done.\n",
            "Resolving deltas: 100% (1406/1406), done.\n",
            "Collecting fastai\n",
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            "\u001b[K    100% |████████████████████████████████| 143kB 4.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: cymem==2.0.2 in /usr/local/lib/python3.6/dist-packages (from fastai) (2.0.2)\n",
            "Collecting torchvision-nightly (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ca/bd/d0f9a33c81c79710eb7ee428b66869b49a8be16c7f1e446c211a7fbfb7be/torchvision_nightly-0.2.1-py2.py3-none-any.whl (54kB)\n",
            "\u001b[K    100% |████████████████████████████████| 61kB 5.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: scipy in /usr/local/lib/python3.6/dist-packages (from fastai) (1.1.0)\n",
            "Requirement already satisfied, skipping upgrade: pandas in /usr/local/lib/python3.6/dist-packages (from fastai) (0.22.0)\n",
            "Collecting fastprogress>=0.1.18 (from fastai)\n",
            "  Downloading https://files.pythonhosted.org/packages/78/57/24a5e20f4a357f7f1c90dd5250071951c832b2480fd4fefd7be48edf4180/fastprogress-0.1.18-py3-none-any.whl\n",
            "Requirement already satisfied, skipping upgrade: pyyaml in /usr/local/lib/python3.6/dist-packages (from fastai) (3.13)\n",
            "Requirement already satisfied, skipping upgrade: numpy>=1.12 in /usr/local/lib/python3.6/dist-packages (from fastai) (1.14.6)\n",
            "Collecting bottleneck (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/05/ae/cedf5323f398ab4e4ff92d6c431a3e1c6a186f9b41ab3e8258dff786a290/Bottleneck-1.2.1.tar.gz (105kB)\n",
            "\u001b[K    100% |████████████████████████████████| 112kB 4.9MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: requests in /usr/local/lib/python3.6/dist-packages (from fastai) (2.18.4)\n",
            "Collecting thinc==6.12.0 (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1f/18/e320bfc57c20df39cc5ffa1915c7b5402a9038f290ddd85b5b72689bd57a/thinc-6.12.0-cp36-cp36m-manylinux1_x86_64.whl (1.9MB)\n",
            "\u001b[K    100% |████████████████████████████████| 1.9MB 6.6MB/s \n",
            "\u001b[?25hCollecting dataclasses; python_version < \"3.7\" (from fastai)\n",
            "  Downloading https://files.pythonhosted.org/packages/26/2f/1095cdc2868052dd1e64520f7c0d5c8c550ad297e944e641dbf1ffbb9a5d/dataclasses-0.6-py3-none-any.whl\n",
            "Collecting numexpr (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/db/ea/efd9e16283637eb5b6c0042b6cc3521f1b9a5b47767ac463c88bbd37670c/numexpr-2.6.8-cp36-cp36m-manylinux1_x86_64.whl (162kB)\n",
            "\u001b[K    100% |████████████████████████████████| 163kB 9.8MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: Pillow in /usr/local/lib/python3.6/dist-packages (from fastai) (4.1.1)\n",
            "Requirement already satisfied, skipping upgrade: regex in /usr/local/lib/python3.6/dist-packages (from fastai) (2018.1.10)\n",
            "Requirement already satisfied, skipping upgrade: typing in /usr/local/lib/python3.6/dist-packages (from fastai) (3.6.6)\n",
            "Collecting spacy==2.0.16 (from fastai)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ed/39/288640f591b29aac6996c97ddfafc3262ae0be7513e06bc560921b112d7c/spacy-2.0.16-cp36-cp36m-manylinux1_x86_64.whl (23.3MB)\n",
            "\u001b[K    100% |████████████████████████████████| 23.3MB 1.7MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: matplotlib in /usr/local/lib/python3.6/dist-packages (from fastai) (2.1.2)\n",
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            "Requirement already satisfied, skipping upgrade: six in /usr/local/lib/python3.6/dist-packages (from torchvision-nightly->fastai) (1.11.0)\n",
            "Requirement already satisfied, skipping upgrade: python-dateutil>=2 in /usr/local/lib/python3.6/dist-packages (from pandas->fastai) (2.5.3)\n",
            "Requirement already satisfied, skipping upgrade: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas->fastai) (2018.7)\n",
            "Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (2018.11.29)\n",
            "Requirement already satisfied, skipping upgrade: idna<2.7,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (2.6)\n",
            "Requirement already satisfied, skipping upgrade: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->fastai) (3.0.4)\n",
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            "Requirement already satisfied, skipping upgrade: plac<1.0.0,>=0.9.6 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.9.6)\n",
            "Requirement already satisfied, skipping upgrade: msgpack<1.0.0,>=0.5.6 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.5.6)\n",
            "Requirement already satisfied, skipping upgrade: wrapt<1.11.0,>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (1.10.11)\n",
            "Requirement already satisfied, skipping upgrade: cytoolz<0.10,>=0.9.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.9.0.1)\n",
            "Requirement already satisfied, skipping upgrade: preshed<3.0.0,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (2.0.1)\n",
            "Requirement already satisfied, skipping upgrade: msgpack-numpy<0.4.4.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.4.3.2)\n",
            "Requirement already satisfied, skipping upgrade: dill<0.3.0,>=0.2.7 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (0.2.8.2)\n",
            "Requirement already satisfied, skipping upgrade: murmurhash<1.1.0,>=0.28.0 in /usr/local/lib/python3.6/dist-packages (from thinc==6.12.0->fastai) (1.0.1)\n",
            "Requirement already satisfied, skipping upgrade: olefile in /usr/local/lib/python3.6/dist-packages (from Pillow->fastai) (0.46)\n",
            "Requirement already satisfied, skipping upgrade: ujson>=1.35 in /usr/local/lib/python3.6/dist-packages (from spacy==2.0.16->fastai) (1.35)\n",
            "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai) (2.3.0)\n",
            "Requirement already satisfied, skipping upgrade: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai) (0.10.0)\n",
            "Requirement already satisfied, skipping upgrade: toolz>=0.8.0 in /usr/local/lib/python3.6/dist-packages (from cytoolz<0.10,>=0.9.0->thinc==6.12.0->fastai) (0.9.0)\n",
            "Building wheels for collected packages: bottleneck\n",
            "  Running setup.py bdist_wheel for bottleneck ... \u001b[?25l-\b \b\\\b \b|\b \b/\b \b-\b \b\\\b \b|\b \b/\b \bdone\n",
            "\u001b[?25h  Stored in directory: /root/.cache/pip/wheels/f2/bf/ec/e0f39aa27001525ad455139ee57ec7d0776fe074dfd78c97e4\n",
            "Successfully built bottleneck\n",
            "\u001b[31mspacy 2.0.16 has requirement numpy>=1.15.0, but you'll have numpy 1.14.6 which is incompatible.\u001b[0m\n",
            "Installing collected packages: torchvision-nightly, fastprogress, bottleneck, thinc, dataclasses, numexpr, spacy, fastai\n",
            "  Found existing installation: thinc 6.12.1\n",
            "    Uninstalling thinc-6.12.1:\n",
            "      Successfully uninstalled thinc-6.12.1\n",
            "  Found existing installation: spacy 2.0.18\n",
            "    Uninstalling spacy-2.0.18:\n",
            "      Successfully uninstalled spacy-2.0.18\n",
            "Successfully installed bottleneck-1.2.1 dataclasses-0.6 fastai-1.0.34 fastprogress-0.1.18 numexpr-2.6.8 spacy-2.0.16 thinc-6.12.0 torchvision-nightly-0.2.1\n",
            "Already up to date.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "UOOnV3NvhIJB",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Mount our google drive.  (this is convenient when internet is slow, and avoids needing to upload again and again)"
      ]
    },
    {
      "metadata": {
        "id": "U0AmgWRigCWU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        },
        "outputId": "65784ee5-b986-4a68-c563-64ec4c3b7b6b"
      },
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 2,
      "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&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&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "MVA0Ki-dhVb_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "ea23ed89-d284-429e-b420-a9629bcb6407"
      },
      "cell_type": "code",
      "source": [
        "BASE='/content/drive/My Drive/ai/'\n",
        "!ls \"{BASE}\""
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "first_pass_joke.pth  models\t\t\t   rjokes_finetunes.pth\n",
            "joke_lm\t\t     reddit_jokes.csv\t\t   rjokes.itos.pkl\n",
            "jokeout\t\t     rjokes_finetuned_encoder.pth\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "sPbdGAQHhhr1",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mkdir -p \"/content/drive/My Drive/ai/cars\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "kGIgNugOh0Jr",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "BASE='/content/drive/My Drive/ai/cars/'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "NOAnAVSIh3e1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "outputId": "d75766e8-80a2-4ee3-8219-6cfaba53a7b5"
      },
      "cell_type": "code",
      "source": [
        "!wget -c http://imagenet.stanford.edu/internal/car196/cars_train.tgz -O \"{ BASE + cars_train.tgz }\""
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2018-12-06 22:00:43--  http://imagenet.stanford.edu/internal/car196/cars_train.tgz\n",
            "Resolving imagenet.stanford.edu (imagenet.stanford.edu)... 171.64.68.16\n",
            "Connecting to imagenet.stanford.edu (imagenet.stanford.edu)|171.64.68.16|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 979269282 (934M) [application/x-gzip]\n",
            "Saving to: ‘{ BASE + cars_train.tgz }’\n",
            "\n",
            "{ BASE + cars_train 100%[===================>] 933.90M  8.72MB/s    in 93s     \n",
            "\n",
            "2018-12-06 22:02:16 (10.0 MB/s) - ‘{ BASE + cars_train.tgz }’ saved [979269282/979269282]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "2_-E89PjiYYw",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mv {\\ BASE\\ +\\ cars_train.tgz\\ \\} \"{BASE}\" "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "vVsgG1Ici6Ut",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5e79b038-3e18-4e04-cf24-7e50b0da5c04"
      },
      "cell_type": "code",
      "source": [
        "c = \"{BASE}\"\n",
        "!mv \"/content/drive/My Drive/cars/ai/{c}\" /content/drive/My\\ Drive/cars/ai/cartrain.tgz"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mv: cannot stat '/content/drive/My Drive/cars/ai/{BASE}': No such file or directory\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "TiEwddUzi835",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "184f0b60-dab1-4262-d562-320ecf86a880"
      },
      "cell_type": "code",
      "source": [
        "!ls \"/content/drive/My Drive/ai/cars\""
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "cartrain.tgz\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "pw54K6rPi_li",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "!mv {BASE\\} /content/drive/My\\ Drive/ai/cars"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "Zg1-xn8JjLLL",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143480
        },
        "outputId": "0083fca4-7026-4598-a6ac-981fa2856e21"
      },
      "cell_type": "code",
      "source": [
        "!tar xfzv /content/drive/My\\ Drive/ai/cars/train/cartrain.tgz"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "cars_train/\n",
            "cars_train/00001.jpg\n",
            "cars_train/00002.jpg\n",
            "cars_train/00003.jpg\n",
            "cars_train/00004.jpg\n",
            "cars_train/00005.jpg\n",
            "cars_train/00006.jpg\n",
            "cars_train/00007.jpg\n",
            "cars_train/00008.jpg\n",
            "cars_train/00009.jpg\n",
            "cars_train/00010.jpg\n",
            "cars_train/00011.jpg\n",
            "cars_train/00012.jpg\n",
            "cars_train/00013.jpg\n",
            "cars_train/00014.jpg\n",
            "cars_train/00015.jpg\n",
            "cars_train/00016.jpg\n",
            "cars_train/00017.jpg\n",
            "cars_train/00018.jpg\n",
            "cars_train/00019.jpg\n",
            "cars_train/00020.jpg\n",
            "cars_train/00021.jpg\n",
            "cars_train/00022.jpg\n",
            "cars_train/00023.jpg\n",
            "cars_train/00024.jpg\n",
            "cars_train/00025.jpg\n",
            "cars_train/00026.jpg\n",
            "cars_train/00027.jpg\n",
            "cars_train/00028.jpg\n",
            "cars_train/00029.jpg\n",
            "cars_train/00030.jpg\n",
            "cars_train/00031.jpg\n",
            "cars_train/00032.jpg\n",
            "cars_train/00033.jpg\n",
            "cars_train/00034.jpg\n",
            "cars_train/00035.jpg\n",
            "cars_train/00036.jpg\n",
            "cars_train/00037.jpg\n",
            "cars_train/00038.jpg\n",
            "cars_train/00039.jpg\n",
            "cars_train/00040.jpg\n",
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      "source": [
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      "execution_count": 0,
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}