{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "_cell_guid": "62ac3883-0b2d-619e-0186-93fc16d7f03d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "Using TensorFlow backend.\n"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "ename": "ImportError",
          "evalue": "cannot import name 'conv2D'",
          "output_type": "error",
          "traceback": [
            "---------------------------------------------------------------------------",
            "ImportError                               Traceback (most recent call last)",
            "<ipython-input-2-c9b7d19845e8> in <module>()\n     14 import keras\n     15 \n---> 16 from keras.layers import conv2D\n",
            "ImportError: cannot import name 'conv2D'"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "ename": "ImportError",
          "evalue": "cannot import name 'image_to_array'",
          "output_type": "error",
          "traceback": [
            "---------------------------------------------------------------------------",
            "ImportError                               Traceback (most recent call last)",
            "<ipython-input-4-5fbdb9106c14> in <module>()\n     15 \n     16 from keras.layers import Conv2D\n---> 17 from keras.preprocessing import image_to_array\n",
            "ImportError: cannot import name 'image_to_array'"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "ename": "ImportError",
          "evalue": "cannot import name 'img_to_array'",
          "output_type": "error",
          "traceback": [
            "---------------------------------------------------------------------------",
            "ImportError                               Traceback (most recent call last)",
            "<ipython-input-5-027d149c0f38> in <module>()\n     15 \n     16 from keras.layers import Conv2D\n---> 17 from keras.preprocessing import img_to_array\n",
            "ImportError: cannot import name 'img_to_array'"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "test\ntrain\n\n"
        }
      ],
      "source": [
        "# This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load in \n",
        "\n",
        "import os\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "\n",
        "# Input data files are available in the \"../input/\" directory.\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
        "\n",
        "from subprocess import check_output\n",
        "train_data = os.listdir(\"../input/train/\")\n",
        "test_data = os.listdir(\"../input/test/\")\n",
        "\n",
        "import keras\n",
        "import cv2\n",
        "\n",
        "from keras.layers import Conv2D\n",
        "from keras.preprocessing.image import img_to_array, array_to_img"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "_cell_guid": "87c28ac3-d30a-a900-d759-56c7a247efc6"
      },
      "outputs": [
        {
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          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "ename": "NameError",
          "evalue": "name 'cv2' is not defined",
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          "traceback": [
            "---------------------------------------------------------------------------",
            "NameError                                 Traceback (most recent call last)",
            "<ipython-input-12-80a4ecac806c> in <module>()\n      1 x = []\n      2 for image in train_data:\n----> 3     x.append(cv2.imread(os.path.join(\"../input/train\", image)))\n",
            "NameError: name 'cv2' is not defined"
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      "source": [
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        "for image in train_data:\n",
        "    x.append(cv2.imread(os.path.join(\"../input/train\", image)))"
      ]
    },
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      "execution_count": null,
      "metadata": {
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      },
      "outputs": [],
      "source": [
        "x.shape"
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      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "3da0bee6-9b20-2630-e64c-4b4f80471ede"
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      "outputs": [],
      "source": ""
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