simpson.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "simpson.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/sai2043/eec23451a51c68557b2a65a3b2fde6e3/simpson.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7-N8ARMPsNi1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import files\n",
        "# Install Kaggle library\n",
        "!pip install -q kaggle"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fteQy6FwY6gu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6463d1d4-22ed-411b-fa94-b34591a5f979"
      },
      "source": [
        "!mkdir /root/.kaggle"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mkdir: cannot create directory ‘/root/.kaggle’: File exists\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DLZFuKW-f-_Z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!echo '{\"username\":\"saikr0\",\"key\":\"c6c32e0ac7500277d37020084b58cc01\"}' > kaggle.json"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oeefIgG6bmqg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!cp /content/kaggle.json /root/.kaggle/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "znODAfo_b1gG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!chmod 600 /root/.kaggle/kaggle.json"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7l2ISfm4aSWm",
        "colab_type": "code",
        "outputId": "dac37ba7-9a0e-4da6-e71b-88276a9f8170",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "!kaggle datasets download -d alexattia/the-simpsons-characters-dataset"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading the-simpsons-characters-dataset.zip to /content\n",
            " 99% 1.06G/1.08G [00:11<00:00, 74.5MB/s]\n",
            "100% 1.08G/1.08G [00:11<00:00, 103MB/s] \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f_LMJpUb6yFj",
        "colab_type": "code",
        "outputId": "1ee0ebb1-839c-431a-b879-0e94011ad794",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!unzip the-simpsons-characters-dataset.zip -d Simpson/"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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            "  inflating: Simpson/weights.best.hdf5  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "haEbhaQq6-jD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!rm -rf /content/Simpson/simpsons_dataset/simpsons_dataset/\n",
        "!rm -rf Simpson/weights.best.hdf5  "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q0H1CUSDgxII",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!echo 'fastai2>=0.0.11' >> requirements.txt\n",
        "!echo 'graphviz' >> requirements.txt\n",
        "!echo 'ipywidgets' >> requirements.txt\n",
        "!echo 'matplotlib' >> requirements.txt\n",
        "!echo 'nbdev>=0.2.12' >> requirements.txt\n",
        "!echo 'pandas' >> requirements.txt\n",
        "!echo 'scikit_learn' >> requirements.txt\n",
        "!echo 'azure-cognitiveservices-search-imagesearch' >> requirements.txt\n",
        "!echo 'sentencepiece' >> requirements.txt\n",
        "!echo 'utils' >> requirements.txt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I-xnPUPI7o-0",
        "colab_type": "code",
        "outputId": "4c4577cf-40cc-492a-9a48-e913be9dc2a6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        }
      },
      "source": [
        "!pip install -q -r requirements.txt\n",
        "#!pip install -q utils"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[K     |████████████████████████████████| 194kB 2.8MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 4.6MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 5.1MB/s \n",
            "\u001b[K     |████████████████████████████████| 1.1MB 8.4MB/s \n",
            "\u001b[K     |████████████████████████████████| 92kB 8.1MB/s \n",
            "\u001b[K     |████████████████████████████████| 40kB 4.5MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 6.4MB/s \n",
            "\u001b[K     |████████████████████████████████| 61kB 6.8MB/s \n",
            "\u001b[K     |████████████████████████████████| 2.7MB 16.8MB/s \n",
            "\u001b[?25h"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s1dmQfcr7eaI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from fastai2.vision.all import *\n",
        "from utils import *\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_pUAb5jx7JWI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img_dir = '/content/Simpson/simpsons_dataset'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HIbIc6bLi9R-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# def get_files(path:PathOrStr, extensions:Collection[str]=None, recurse:bool=False, exclude:Optional[Collection[str]]=None,\n",
        "#               include:Optional[Collection[str]]=None, presort:bool=False, followlinks:bool=False)->FilePathList:\n",
        "#     \"Return list of files in `path` that have a suffix in `extensions`; optionally `recurse`.\"\n",
        "#     if recurse:\n",
        "#         res = []\n",
        "#         for i,(p,d,f) in enumerate(os.walk(path, followlinks=followlinks)):\n",
        "#             # skip hidden dirs\n",
        "#             if include is not None and i==0:   d[:] = [o for o in d if o in include]\n",
        "#             elif exclude is not None and i==0: d[:] = [o for o in d if o not in exclude]\n",
        "#             else:                              d[:] = [o for o in d if not o.startswith('.')]\n",
        "#             res += _get_files(path, p, f, extensions)\n",
        "#         if presort: res = sorted(res, key=lambda p: _path_to_same_str(p), reverse=False)\n",
        "#         return res\n",
        "#     else:\n",
        "#         f = [o.name for o in os.scandir(path) if o.is_file()]\n",
        "#         res = _get_files(path, path, f, extensions)\n",
        "#         if presort: res = sorted(res, key=lambda p: _path_to_same_str(p), reverse=False)\n",
        "#         return res\n",
        "\n",
        "# def get_image_files(c:PathOrStr, check_ext:bool=True, recurse=True)->FilePathList:\n",
        "#     \"Return list of files in `c` that are images. `check_ext` will filter to `image_extensions`.\"\n",
        "#     return get_files(c, extensions=(image_extensions if check_ext else None), recurse=recurse)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jcVoHIk7jPbI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def _get_files(parent, p, f, extensions):\n",
        "    p = Path(p)#.relative_to(parent)\n",
        "    if isinstance(extensions,str): extensions = [extensions]\n",
        "    low_extensions = [e.lower() for e in extensions] if extensions is not None else None\n",
        "    res = [p/o for o in f if not o.startswith('.')\n",
        "           and (extensions is None or f'.{o.split(\".\")[-1].lower()}' in low_extensions)]\n",
        "    return res"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1kMtHdi77xwM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# path=Path(img_dir)\n",
        "# data = ImageDataBunch.from_folder(path, train=\".\", \n",
        "#                                   valid_pct=0.2,\n",
        "#                                   ds_tfms=get_transforms(do_flip=False,flip_vert=False, max_rotate=0,max_lighting=0.3),\n",
        "#                                   size=224,bs=128, \n",
        "#                                   num_workers=0).normalize(imagenet_stats)\n",
        "# print(f'Classes: \\n {data.classes}')\n",
        "# data.show_batch(rows=8, figsize=(40,40))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TyBzFe8vP2Pc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img_dir = '/content/Simpson/simpsons_dataset'\n",
        "path=Path(img_dir)\n",
        "img = DataBlock(\n",
        "    blocks=(ImageBlock, CategoryBlock), \n",
        "    #get_items=get_image_files,#using_attr(get_image_files(recurse=True)),\n",
        "    get_items=partial(get_image_files,recurse=true),\n",
        "    #splitter=RandomSubsetSplitter(0.2, 0.1),#RandomSplitter(valid_pct=0.2, seed=42),\n",
        "    splitter=RandomSplitter(seed=42),\n",
        "    get_y=parent_label,\n",
        "    item_tfms=Resize(128))\n",
        "#img.summary(path)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3ACU87CGQLS_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img = img.dataloaders(path)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DIkbsJK2p_Zz",
        "colab_type": "code",
        "outputId": "ffe70db8-e40d-4330-889a-b0f1dfe9c7cc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "source": [
        "img.valid.show_batch(max_n=4, nrows=2)"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7yvOKDhYvwX9",
        "colab_type": "code",
        "outputId": "0e2a6749-cbbf-4e2b-c155-64398dbd9838",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "len(img.train_ds.items)"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16740"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f7ZcudQY74WL",
        "colab_type": "code",
        "outputId": "6a141bca-3388-4093-994d-a8569198e034",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "learn = cnn_learner(img, resnet34, metrics=accuracy, opt_func=Adam, model_dir=\"/tmp/model/\")\n",
        "learn.fine_tune(4)\n",
        "#learn.summary"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1.853404</td>\n",
              "      <td>1.088254</td>\n",
              "      <td>0.716368</td>\n",
              "      <td>01:46</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>0.684449</td>\n",
              "      <td>0.410570</td>\n",
              "      <td>0.891756</td>\n",
              "      <td>01:51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>0.372632</td>\n",
              "      <td>0.276991</td>\n",
              "      <td>0.929271</td>\n",
              "      <td>01:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.174470</td>\n",
              "      <td>0.213593</td>\n",
              "      <td>0.948148</td>\n",
              "      <td>01:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>0.082913</td>\n",
              "      <td>0.205869</td>\n",
              "      <td>0.953166</td>\n",
              "      <td>01:51</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb511cc72e8>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb50d058278>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb511cc72e8>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb50d058278>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb511cc72e8>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb50d058278>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb511cc72e8>>\n",
            "AssertionError: can only join a child process\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb50d058278>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb511cc72e8>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb50d058278>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb511cc72e8>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n",
            "Exception ignored in: <bound method _MultiProcessingDataLoaderIter.__del__ of <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0x7fb50d058278>>\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 962, in __del__\n",
            "    self._shutdown_workers()\n",
            "  File \"/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py\", line 942, in _shutdown_workers\n",
            "    w.join()\n",
            "  File \"/usr/lib/python3.6/multiprocessing/process.py\", line 122, in join\n",
            "    assert self._parent_pid == os.getpid(), 'can only join a child process'\n",
            "AssertionError: can only join a child process\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p2aX4bwK9i4B",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 977
        },
        "outputId": "99e9009e-96c0-4007-e566-d2d3a26d2895"
      },
      "source": [
        "interp = ClassificationInterpretation.from_learner(learn)\n",
        "interp.plot_confusion_matrix(figsize=(12,12), dpi=80)"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              ""
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 960x960 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ifJvHq2wptVy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "outputId": "9dbaa1e6-5e9b-4104-8c00-6565212b6ccf"
      },
      "source": [
        "learn.unfreeze()\n",
        "learn.lr_find()"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              ""
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SuggestedLRs(lr_min=3.0199516913853586e-06, lr_steep=7.585775847473997e-07)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f9enubLloU12",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "outputId": "328ca701-d5c9-44b1-adf7-7e72470f028c"
      },
      "source": [
        "learn.fit_one_cycle(6, lr_max=1e-5)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>0.075995</td>\n",
              "      <td>0.200352</td>\n",
              "      <td>0.953644</td>\n",
              "      <td>01:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>0.061885</td>\n",
              "      <td>0.193026</td>\n",
              "      <td>0.957467</td>\n",
              "      <td>01:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.055746</td>\n",
              "      <td>0.192623</td>\n",
              "      <td>0.956750</td>\n",
              "      <td>01:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>0.050458</td>\n",
              "      <td>0.193583</td>\n",
              "      <td>0.957228</td>\n",
              "      <td>01:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>0.038261</td>\n",
              "      <td>0.187343</td>\n",
              "      <td>0.955317</td>\n",
              "      <td>01:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>0.034973</td>\n",
              "      <td>0.189311</td>\n",
              "      <td>0.955795</td>\n",
              "      <td>01:52</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5hWXB7DHpj4P",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        },
        "outputId": "a94d5b0b-1302-4a3b-bf19-d73be40ae5bf"
      },
      "source": [
        "from fastai2.callback.fp16 import *\n",
        "learn = cnn_learner(img, resnet50, metrics=accuracy).to_fp16()\n",
        "learn.fine_tune(10, freeze_epochs=3)"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>2.005684</td>\n",
              "      <td>1.226259</td>\n",
              "      <td>0.682676</td>\n",
              "      <td>02:06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>1.145650</td>\n",
              "      <td>0.797979</td>\n",
              "      <td>0.786380</td>\n",
              "      <td>02:06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.791319</td>\n",
              "      <td>0.549501</td>\n",
              "      <td>0.852569</td>\n",
              "      <td>02:06</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>0.403259</td>\n",
              "      <td>0.301159</td>\n",
              "      <td>0.917324</td>\n",
              "      <td>02:35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>0.272940</td>\n",
              "      <td>0.248592</td>\n",
              "      <td>0.936918</td>\n",
              "      <td>02:36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.224928</td>\n",
              "      <td>0.242118</td>\n",
              "      <td>0.942891</td>\n",
              "      <td>02:36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>0.152197</td>\n",
              "      <td>0.193186</td>\n",
              "      <td>0.953883</td>\n",
              "      <td>02:34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>0.104992</td>\n",
              "      <td>0.193355</td>\n",
              "      <td>0.958423</td>\n",
              "      <td>02:34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>0.067284</td>\n",
              "      <td>0.185236</td>\n",
              "      <td>0.957228</td>\n",
              "      <td>02:35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>0.046033</td>\n",
              "      <td>0.160914</td>\n",
              "      <td>0.968220</td>\n",
              "      <td>02:34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7</td>\n",
              "      <td>0.021831</td>\n",
              "      <td>0.151052</td>\n",
              "      <td>0.970131</td>\n",
              "      <td>02:36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>0.012173</td>\n",
              "      <td>0.141190</td>\n",
              "      <td>0.972521</td>\n",
              "      <td>02:35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
              "      <td>0.010464</td>\n",
              "      <td>0.140291</td>\n",
              "      <td>0.972760</td>\n",
              "      <td>02:36</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
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              "<IPython.core.display.HTML object>"
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vtZk4-aKwC3u",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "6c316299-7bb1-4e3f-957c-2e471f54214a"
      },
      "source": [
        "!kaggle competitions submit -c the-simpsons-characters-dataset -f /content/simpson.ipynb -m \"Message\""
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/kaggle\", line 8, in <module>\n",
            "    sys.exit(main())\n",
            "  File \"/usr/local/lib/python2.7/dist-packages/kaggle/cli.py\", line 51, in main\n",
            "    out = args.func(**command_args)\n",
            "  File \"/usr/local/lib/python2.7/dist-packages/kaggle/api/kaggle_api_extended.py\", line 544, in competition_submit_cli\n",
            "    competition, quiet)\n",
            "  File \"/usr/local/lib/python2.7/dist-packages/kaggle/api/kaggle_api_extended.py\", line 495, in competition_submit\n",
            "    content_length=os.path.getsize(file_name),\n",
            "  File \"/usr/lib/python2.7/genericpath.py\", line 57, in getsize\n",
            "    return os.stat(filename).st_size\n",
            "OSError: [Errno 2] No such file or directory: '/content/simpson.ipynb'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1YfcTdoUrEKH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e8041f29-73c7-4149-84a3-13e4fdd53451"
      },
      "source": [
        "!pwd"
      ],
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_aOuyw--rF3C",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}